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Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters
Olutobi Owoputi
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Brendan O’Connor
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Chris Dyer
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Kevin Gimpel
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Nathan Schneider
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Noah A. Smith
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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia
Venue:
NAACL |
Citations
URL
Discovering Topical Aspects in Microblogs
Abhimanyu Das
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Anitha Kannan
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From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
Simon Šuster
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Gertjan van Noord
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Part of Speech Tagging for French Social Media Data
Farhad Nooralahzadeh
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Caroline Brun
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Claude Roux
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Adapting taggers to Twitter with not-so-distant supervision
Barbara Plank
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Dirk Hovy
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Ryan McDonald
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Anders Søgaard
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Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging
Tobias Horsmann
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Torsten Zesch
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Automatically Processing Tweets from Gang-Involved Youth: Towards Detecting Loss and Aggression
Terra Blevins
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Robert Kwiatkowski
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Jamie MacBeth
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Kathleen McKeown
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Desmond Patton
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Owen Rambow
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Time-Independent and Language-Independent Extraction of Multiword Expressions From Twitter
Nikhil Londhe
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Rohini Srihari
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Vishrawas Gopalakrishnan
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Sarcasm as Contrast between a Positive Sentiment and Negative Situation
Ellen Riloff
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Ashequl Qadir
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Prafulla Surve
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Lalindra De Silva
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Nathan Gilbert
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Ruihong Huang
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Microblog Entity Linking by Leveraging Extra Posts
Yuhang Guo
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Bing Qin
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Ting Liu
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Sheng Li
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Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo
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Wanxiang Che
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Haifeng Wang
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Ting Liu
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A Graph-based Approach for Contextual Text Normalization
Cagil Sönmez
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Arzucan Özgür
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POS Tagging of English-Hindi Code-Mixed Social Media Content
Yogarshi Vyas
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Spandana Gella
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Jatin Sharma
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Kalika Bali
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Monojit Choudhury
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A Dependency Parser for Tweets
Lingpeng Kong
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Nathan Schneider
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Swabha Swayamdipta
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Archna Bhatia
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Chris Dyer
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Noah A. Smith
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Learning Emotion Indicators from Tweets: Hashtags, Hashtag Patterns, and Phrases
Ashequl Qadir
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Ellen Riloff
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Self-disclosure topic model for classifying and analyzing Twitter conversations
JinYeong Bak
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Chin-Yew Lin
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Alice Oh
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Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts
Jiwei Li
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Alan Ritter
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Claire Cardie
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Eduard Hovy
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Brighter than Gold: Figurative Language in User Generated Comparisons
Vlad Niculae
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Cristian Danescu-Niculescu-Mizil
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Semantic Annotation for Microblog Topics Using Wikipedia Temporal Information
Tuan Tran
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Nam Khanh Tran
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Asmelash Teka Hadgu
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Robert Jäschke
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Indicative Tweet Generation: An Extractive Summarization Problem?
Priya Sidhaye
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Jackie Chi Kit Cheung
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Learning to Recognize Affective Polarity in Similes
Ashequl Qadir
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Ellen Riloff
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Marilyn Walker
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Modeling Tweet Arrival Times using Log-Gaussian Cox Processes
Michal Lukasik
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P. K. Srijith
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Trevor Cohn
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Kalina Bontcheva
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Noise or additional information? Leveraging crowdsource annotation item agreement for natural language tasks.
Emily Jamison
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Iryna Gurevych
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More Features Are Not Always Better: Evaluating Generalizing Models in Incident Type Classification of Tweets
Axel Schulz
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Christian Guckelsberger
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Benedikt Schmidt
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Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse
Ivan Habernal
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Iryna Gurevych
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#SupportTheCause: Identifying Motivations to Participate in Online Health Campaigns
Dong Nguyen
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Tijs van den Broek
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Claudia Hauff
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Djoerd Hiemstra
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Michel Ehrenhard
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Classifying Tweet Level Judgements of Rumours in Social Media
Michal Lukasik
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Trevor Cohn
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Kalina Bontcheva
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Semi-Supervised Learning of Sequence Models with Method of Moments
Zita Marinho
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André F. T. Martins
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Shay B. Cohen
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Noah A. Smith
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Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
Yi Yang
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Ming-Wei Chang
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Jacob Eisenstein
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Do LSTMs really work so well for PoS tagging? – A replication study
Tobias Horsmann
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Torsten Zesch
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Human Centered NLP with User-Factor Adaptation
Veronica Lynn
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Youngseo Son
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Vivek Kulkarni
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Niranjan Balasubramanian
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H. Andrew Schwartz
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Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
Tao Gui
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Qi Zhang
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Haoran Huang
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Minlong Peng
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Xuanjing Huang
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Variational Sequential Labelers for Semi-Supervised Learning
Mingda Chen
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Qingming Tang
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Karen Livescu
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Kevin Gimpel
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Improving Multi-label Emotion Classification via Sentiment Classification with Dual Attention Transfer Network
Jianfei Yu
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Luís Marujo
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Jing Jiang
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Pradeep Karuturi
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William Brendel
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Identifying Locus of Control in Social Media Language
Masoud Rouhizadeh
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Kokil Jaidka
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Laura Smith
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H. Andrew Schwartz
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Anneke Buffone
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Lyle Ungar
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Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging
Tao Gui
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Qi Zhang
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Jingjing Gong
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Minlong Peng
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Di Liang
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Keyu Ding
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Xuanjing Huang
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Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification
Kelsey Ball
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Dan Garrette
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Modeling Input Uncertainty in Neural Network Dependency Parsing
Rob van der Goot
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Gertjan van Noord
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Learning part-of-speech taggers with inter-annotator agreement loss
Barbara Plank
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Dirk Hovy
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Anders Søgaard
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Now We Stronger than Ever: African-American English Syntax in Twitter
Ian Stewart
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Ranking Convolutional Recurrent Neural Networks for Purchase Stage Identification on Imbalanced Twitter Data
Heike Adel
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Francine Chen
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Yan-Ying Chen
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Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks
Lizhen Qu
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Gabriela Ferraro
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Liyuan Zhou
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Weiwei Hou
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Nathan Schneider
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Timothy Baldwin
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Reading behavior predicts syntactic categories
Maria Barrett
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Anders Søgaard
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Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir
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Byron C. Wallace
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Hao Lyu
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Paula Carvalho
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Mário J. Silva
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Benchmarking the Extraction and Disambiguation of Named Entities on the Semantic Web
Giuseppe Rizzo
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Marieke van Erp
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Raphaël Troncy
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When POS data sets don’t add up: Combatting sample bias
Dirk Hovy
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Barbara Plank
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Anders Søgaard
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Large Multi-lingual, Multi-level and Multi-genre Annotation Corpus
Xuansong Li
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Martha Palmer
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Nianwen Xue
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Lance Ramshaw
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Mohamed Maamouri
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Ann Bies
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Kathryn Conger
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Stephen Grimes
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Stephanie Strassel
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FlexTag: A Highly Flexible PoS Tagging Framework
Torsten Zesch
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Tobias Horsmann
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Handling Normalization Issues for Part-of-Speech Tagging of Online Conversational Text
Géraldine Damnati
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Jeremy Auguste
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Alexis Nasr
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Delphine Charlet
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Johannes Heinecke
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Frédéric Béchet
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A Neural Network Model for Part-Of-Speech Tagging of Social Media Texts
Sara Meftah
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Nasredine Semmar
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What to do about bad language on the internet
Jacob Eisenstein
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The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
Colin Cherry
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Hongyu Guo
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Mining for unambiguous instances to adapt part-of-speech taggers to new domains
Dirk Hovy
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Barbara Plank
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Héctor Martínez Alonso
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Anders Søgaard
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Two/Too Simple Adaptations of Word2Vec for Syntax Problems
Wang Ling
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Chris Dyer
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Alan W. Black
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Isabel Trancoso
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Expectation-Regulated Neural Model for Event Mention Extraction
Ching-Yun Chang
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Zhiyang Teng
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Yue Zhang
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Conversational Markers of Constructive Discussions
Vlad Niculae
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Cristian Danescu-Niculescu-Mizil
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Learning a POS tagger for AAVE-like language
Anna Jørgensen
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Dirk Hovy
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Anders Søgaard
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Automatically Inferring Implicit Properties in Similes
Ashequl Qadir
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Ellen Riloff
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Marilyn A. Walker
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Shallow Parsing Pipeline - Hindi-English Code-Mixed Social Media Text
Arnav Sharma
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Sakshi Gupta
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Raveesh Motlani
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Piyush Bansal
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Manish Shrivastava
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Radhika Mamidi
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Dipti M. Sharma
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Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
Xingshan Zeng
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Jing Li
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Lu Wang
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Nicholas Beauchamp
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Sarah Shugars
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Kam-Fai Wong
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Parsing Tweets into Universal Dependencies
Yijia Liu
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Yi Zhu
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Wanxiang Che
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Bing Qin
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Nathan Schneider
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Noah A. Smith
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Universal Dependency Parsing for Hindi-English Code-Switching
Irshad Bhat
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Riyaz A. Bhat
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Manish Shrivastava
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Dipti Sharma
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Directional Skip-Gram: Explicitly Distinguishing Left and Right Context for Word Embeddings
Yan Song
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Shuming Shi
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Jing Li
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Haisong Zhang
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Predicting Foreign Language Usage from English-Only Social Media Posts
Svitlana Volkova
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Stephen Ranshous
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Lawrence Phillips
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Using Conceptual Class Attributes to Characterize Social Media Users
Shane Bergsma
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Benjamin Van Durme
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Bi-directional Inter-dependencies of Subjective Expressions and Targets and their Value for a Joint Model
Roman Klinger
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Philipp Cimiano
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Weakly Supervised User Profile Extraction from Twitter
Jiwei Li
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Alan Ritter
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Eduard Hovy
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Opinion Mining on YouTube
Aliaksei Severyn
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Alessandro Moschitti
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Olga Uryupina
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Barbara Plank
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Katja Filippova
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Experiments with crowdsourced re-annotation of a POS tagging data set
Dirk Hovy
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Barbara Plank
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Anders Søgaard
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Modeling Factuality Judgments in Social Media Text
Sandeep Soni
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Tanushree Mitra
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Eric Gilbert
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Jacob Eisenstein
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Tailoring Continuous Word Representations for Dependency Parsing
Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Improving Text Normalization via Unsupervised Model and Discriminative Reranking
Chen Li
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Yang Liu
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Improving Named Entity Recognition in Tweets via Detecting Non-Standard Words
Chen Li
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Yang Liu
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Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces
Ramon Astudillo
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Silvio Amir
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Wang Ling
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Mário Silva
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Isabel Trancoso
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Tagging Performance Correlates with Author Age
Dirk Hovy
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Anders Søgaard
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Investigating the Sources of Linguistic Alignment in Conversation
Gabriel Doyle
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Michael C. Frank
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Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction
Yasuhide Miura
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Motoki Taniguchi
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Tomoki Taniguchi
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Tomoko Ohkuma
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Twitter Universal Dependency Parsing for African-American and Mainstream American English
Su Lin Blodgett
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Johnny Wei
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Brendan O’Connor
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Language Identification and Named Entity Recognition in Hinglish Code Mixed Tweets
Kushagra Singh
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Indira Sen
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Ponnurangam Kumaraguru
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Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut
Nathan Schneider
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Emily Danchik
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Chris Dyer
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Noah A. Smith
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2-Slave Dual Decomposition for Generalized Higher Order CRFs
Xian Qian
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Yang Liu
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Tune Your Brown Clustering, Please
Leon Derczynski
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Sean Chester
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Kenneth Bøgh
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Part-of-Speech Tagging for Code-Mixed English-Hindi Twitter and Facebook Chat Messages
Anupam Jamatia
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Björn Gambäck
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Amitava Das
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A VSM-based Statistical Model for the Semantic Relation Interpretation of Noun-Modifier Pairs
Nitesh Surtani
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Soma Paul
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GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther
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Lenz Furrer
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SwatCS: Combining simple classifiers with estimated accuracy
Sam Clark
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Rich Wicentwoski
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FBK: Sentiment Analysis in Twitter with Tweetsted
Md. Faisal Mahbub Chowdhury
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Marco Guerini
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Sara Tonelli
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Alberto Lavelli
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BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan
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Arda Çelebi
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Arzucan Özgür
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Suzan Üsküdarlı
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AUEB: Two Stage Sentiment Analysis of Social Network Messages
Rafael Michael Karampatsis
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John Pavlopoulos
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Prodromos Malakasiotis
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BUAP: Polarity Classification of Short Texts
David Pinto
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Darnes Vilariño
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Saul León
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Miguel Jasso
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Cupertino Lucero
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CMUQ@Qatar:Using Rich Lexical Features for Sentiment Analysis on Twitter
Sabih Bin Wasi
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Rukhsar Neyaz
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Houda Bouamor
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Behrang Mohit
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Kea: Sentiment Analysis of Phrases Within Short Texts
Ameeta Agrawal
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Aijun An
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NILC_USP: An Improved Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho
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Lucas Avanço
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Thiago Pardo
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Maria das Graças Volpe Nunes
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NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews
Svetlana Kiritchenko
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Xiaodan Zhu
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Colin Cherry
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Saif Mohammad
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RTRGO: Enhancing the GU-MLT-LT System for Sentiment Analysis of Short Messages
Tobias Günther
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Jean Vancoppenolle
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Richard Johansson
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SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features
Nikolaos Malandrakis
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Michael Falcone
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Colin Vaz
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Jesse James Bisogni
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Alexandros Potamianos
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Shrikanth Narayanan
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SAP-RI: Twitter Sentiment Analysis in Two Days
Akriti Vij
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Nishta Malhotra
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Naveen Nandan
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Daniel Dahlmeier
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Swiss-Chocolate: Sentiment Detection using Sparse SVMs and Part-Of-Speech n-Grams
Martin Jaggi
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Fatih Uzdilli
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Mark Cieliebak
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TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data
Yasuhide Miura
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Shigeyuki Sakaki
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Keigo Hattori
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Tomoko Ohkuma
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Splusplus: A Feature-Rich Two-stage Classifier for Sentiment Analysis of Tweets
Li Dong
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Furu Wei
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Yichun Yin
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Ming Zhou
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Ke Xu
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IIIT-H at SemEval 2015: Twitter Sentiment Analysis – The Good, the Bad and the Neutral!
Ayushi Dalmia
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Manish Gupta
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Vasudeva Varma
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IOA: Improving SVM Based Sentiment Classification Through Post Processing
Peijia Li
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Weiqun Xu
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Chenglong Ma
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Jia Sun
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Yonghong Yan
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ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features
Zhihua Zhang
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Guoshun Wu
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Man Lan
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Webis: An Ensemble for Twitter Sentiment Detection
Matthias Hagen
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Martin Potthast
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Michel Büchner
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Benno Stein
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IITPSemEval: Sentiment Discovery from 140 Characters
Ayush Kumar
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Vamsi Krishna
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Asif Ekbal
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Swiss-Chocolate: Combining Flipout Regularization and Random Forests with Artificially Built Subsystems to Boost Text-Classification for Sentiment
Fatih Uzdilli
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Martin Jaggi
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Dominic Egger
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Pascal Julmy
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Leon Derczynski
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Mark Cieliebak
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INESC-ID: A Regression Model for Large Scale Twitter Sentiment Lexicon Induction
Silvio Amir
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Ramon Astudillo
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Wang Ling
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Bruno Martins
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Mario J. Silva
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Isabel Trancoso
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SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification
Ruth Talbot
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Chloe Acheampong
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Richard Wicentowski
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SWATCS65: Sentiment Classification Using an Ensemble of Class Projects
Richard Wicentowski
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TwitterHawk: A Feature Bucket Based Approach to Sentiment Analysis
William Boag
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Peter Potash
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Anna Rumshisky
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INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramon Astudillo
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Silvio Amir
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Wang Ling
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Bruno Martins
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Mario J. Silva
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Isabel Trancoso
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I2RNTU at SemEval-2016 Task 4: Classifier Fusion for Polarity Classification in Twitter
Zhengchen Zhang
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Chen Zhang
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Fuxiang Wu
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Dong-Yan Huang
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Weisi Lin
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Minghui Dong
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aueb.twitter.sentiment at SemEval-2016 Task 4: A Weighted Ensemble of SVMs for Twitter Sentiment Analysis
Stavros Giorgis
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Apostolos Rousas
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John Pavlopoulos
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Prodromos Malakasiotis
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Ion Androutsopoulos
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NTNUSentEval at SemEval-2016 Task 4: Combining General Classifiers for Fast Twitter Sentiment Analysis
Brage Ekroll Jahren
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Valerij Fredriksen
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Björn Gambäck
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Lars Bungum
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PUT at SemEval-2016 Task 4: The ABC of Twitter Sentiment Analysis
Mateusz Lango
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Dariusz Brzezinski
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Jerzy Stefanowski
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Tweester at SemEval-2016 Task 4: Sentiment Analysis in Twitter Using Semantic-Affective Model Adaptation
Elisavet Palogiannidi
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Athanasia Kolovou
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Fenia Christopoulou
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Filippos Kokkinos
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Elias Iosif
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Nikolaos Malandrakis
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Haris Papageorgiou
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Shrikanth Narayanan
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Alexandros Potamianos
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SentiSys at SemEval-2016 Task 4: Feature-Based System for Sentiment Analysis in Twitter
Hussam Hamdan
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SENSEI-LIF at SemEval-2016 Task 4: Polarity embedding fusion for robust sentiment analysis
Mickael Rouvier
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Benoit Favre
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IIP at SemEval-2016 Task 4: Prioritizing Classes in Ensemble Classification for Sentiment Analysis of Tweets
Jasper Friedrichs
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INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words
Silvio Amir
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Ramon Astudillo
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Wang Ling
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Mário J. Silva
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Isabel Trancoso
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ECNU at SemEval-2016 Task 4: An Empirical Investigation of Traditional NLP Features and Word Embedding Features for Sentence-level and Topic-level Sentiment Analysis in Twitter
Yunxiao Zhou
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Zhihua Zhang
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Man Lan
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ECNU at SemEval 2016 Task 6: Relevant or Not? Supportive or Not? A Two-step Learning System for Automatic Detecting Stance in Tweets
Zhihua Zhang
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Man Lan
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SemEval-2016 Task 10: Detecting Minimal Semantic Units and their Meanings (DiMSUM)
Nathan Schneider
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Dirk Hovy
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Anders Johannsen
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Marine Carpuat
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SRHR at SemEval-2017 Task 6: Word Associations for Humour Recognition
Andrew Cattle
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Xiaojuan Ma
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CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification
Raj Kumar Gupta
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Yinping Yang
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Tweester at SemEval-2017 Task 4: Fusion of Semantic-Affective and pairwise classification models for sentiment analysis in Twitter
Athanasia Kolovou
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Filippos Kokkinos
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Aris Fergadis
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Pinelopi Papalampidi
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Elias Iosif
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Nikolaos Malandrakis
|
Elisavet Palogiannidi
|
Haris Papageorgiou
|
Shrikanth Narayanan
|
Alexandros Potamianos
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LIA at SemEval-2017 Task 4: An Ensemble of Neural Networks for Sentiment Classification
Mickael Rouvier
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UCSC-NLP at SemEval-2017 Task 4: Sense n-grams for Sentiment Analysis in Twitter
José Abreu
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Iván Castro
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Claudia Martínez
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Sebastián Oliva
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Yoan Gutiérrez
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THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning
Chuhan Wu
|
Fangzhao Wu
|
Sixing Wu
|
Junxin Liu
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Zhigang Yuan
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Yongfeng Huang
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UWB at SemEval-2018 Task 1: Emotion Intensity Detection in Tweets
Pavel Přibáň
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Tomáš Hercig
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Ladislav Lenc
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THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM
Chuhan Wu
|
Fangzhao Wu
|
Junxin Liu
|
Zhigang Yuan
|
Sixing Wu
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Yongfeng Huang
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AffecThor at SemEval-2018 Task 1: A cross-linguistic approach to sentiment intensity quantification in tweets
Mostafa Abdou
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Artur Kulmizev
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Joan Ginés i Ametllé
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Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification
Alon Rozental
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Daniel Fleischer
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CrystalFeel at SemEval-2018 Task 1: Understanding and Detecting Emotion Intensity using Affective Lexicons
Raj Kumar Gupta
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Yinping Yang
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KLUEnicorn at SemEval-2018 Task 3: A Naive Approach to Irony Detection
Luise Dürlich
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Binarizer at SemEval-2018 Task 3: Parsing dependency and deep learning for irony detection
Nishant Nikhil
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Muktabh Mayank Srivastava
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Identifying Twitter Location Mentions
Bo Han
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Antonio Jimeno Yepes
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Andrew MacKinlay
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Qiang Chen
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Automatic Identification of Expressions of Locations in Tweet Messages using Conditional Random Fields
Fei Liu
|
Afshin Rahimi
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Bahar Salehi
|
Miji Choi
|
Ping Tan
|
Long Duong
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Clinical Information Extraction Using Word Representations
Shervin Malmasi
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Hamed Hassanzadeh
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Mark Dras
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Bootstrapped Learning of Emotion Hashtags #hashtags4you
Ashequl Qadir
|
Ellen Riloff
|
Identifying the L1 of non-native writers: the CMU-Haifa system
Yulia Tsvetkov
|
Naama Twitto
|
Nathan Schneider
|
Noam Ordan
|
Manaal Faruqui
|
Victor Chahuneau
|
Shuly Wintner
|
Chris Dyer
|
A Framework for (Under)specifying Dependency Syntax without Overloading Annotators
Nathan Schneider
|
Brendan O’Connor
|
Naomi Saphra
|
David Bamman
|
Manaal Faruqui
|
Noah A. Smith
|
Chris Dyer
|
Jason Baldridge
|
Finding Eyewitness Tweets During Crises
Fred Morstatter
|
Nichola Lubold
|
Heather Pon-Barry
|
Jürgen Pfeffer
|
Huan Liu
|
Self-disclosure topic model for Twitter conversations
JinYeong Bak
|
Chin-Yew Lin
|
Alice Oh
|
Chunking Clinical Text Containing Non-Canonical Language
Aleksandar Savkov
|
John Carroll
|
Jackie Cassell
|
Code Mixing: A Challenge for Language Identification in the Language of Social Media
Utsab Barman
|
Amitava Das
|
Joachim Wagner
|
Jennifer Foster
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Exploring Options for Fast Domain Adaptation of Dependency Parsers
Viktor Pekar
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Juntao Yu
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Mohab El-karef
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Bernd Bohnet
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Audience size and contextual effects on information density in Twitter conversations
Gabriel Doyle
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Michael Frank
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Mental Illness Detection at the World Well-Being Project for the CLPsych 2015 Shared Task
Daniel Preoţiuc-Pietro
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Maarten Sap
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H. Andrew Schwartz
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Lyle Ungar
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Estimating User Location in Social Media with Stacked Denoising Auto-encoders
Ji Liu
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Diana Inkpen
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A Linguistically Informed Convolutional Neural Network
Sebastian Ebert
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Ngoc Thang Vu
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Hinrich Schütze
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Minority Language Twitter: Part-of-Speech Tagging and Analysis of Irish Tweets
Teresa Lynn
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Kevin Scannell
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Eimear Maguire
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NCSU_SAS_WOOKHEE: A Deep Contextual Long-Short Term Memory Model for Text Normalization
Wookhee Min
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Bradford Mott
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Learning finite state word representations for unsupervised Twitter adaptation of POS taggers
Julie Wulff
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Anders Søgaard
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POS Tagging of Hindi-English Code Mixed Text from Social Media: Some Machine Learning Experiments
Royal Sequiera
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Monojit Choudhury
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Kalika Bali
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Using Skipgrams, Bigrams, and Part of Speech Features for Sentiment Classification of Twitter Messages
Badr Mohammed Badr
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S. Sameen Fatima
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Predicting Post Severity in Mental Health Forums
Shervin Malmasi
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Marcos Zampieri
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Mark Dras
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LTL-UDE @ EmpiriST 2015: Tokenization and PoS Tagging of Social Media Text
Tobias Horsmann
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Torsten Zesch
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ASU: An Experimental Study on Applying Deep Learning in Twitter Named Entity Recognition.
Michel Naim Gerguis
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Cherif Salama
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M. Watheq El-Kharashi
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Microblog Emotion Classification by Computing Similarity in Text, Time, and Space
Anja Summa
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Bernd Resch
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Michael Strube
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Part-of-speech Tagging of Code-mixed Social Media Content: Pipeline, Stacking and Joint Modelling
Utsab Barman
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Joachim Wagner
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Jennifer Foster
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Part-of-speech Tagging of Code-Mixed Social Media Text
Souvick Ghosh
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Satanu Ghosh
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Dipankar Das
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Multi-source morphosyntactic tagging for spoken Rusyn
Yves Scherrer
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Achim Rabus
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Detecting Personal Medication Intake in Twitter: An Annotated Corpus and Baseline Classification System
Ari Klein
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Abeed Sarker
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Masoud Rouhizadeh
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Karen O’Connor
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Graciela Gonzalez
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Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu
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Kevin Gimpel
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Karen Livescu
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Detecting Nastiness in Social Media
Niloofar Safi Samghabadi
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Suraj Maharjan
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Alan Sprague
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Raquel Diaz-Sprague
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Thamar Solorio
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Illegal is not a Noun: Linguistic Form for Detection of Pejorative Nominalizations
Alexis Palmer
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Melissa Robinson
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Kristy K. Phillips
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Structured Prediction via Learning to Search under Bandit Feedback
Amr Sharaf
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Hal Daumé III
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To normalize, or not to normalize: The impact of normalization on Part-of-Speech tagging
Rob van der Goot
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Barbara Plank
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Malvina Nissim
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A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar
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Suraj Maharjan
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Adrian Pastor López-Monroy
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Thamar Solorio
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Multi-channel BiLSTM-CRF Model for Emerging Named Entity Recognition in Social Media
Bill Y. Lin
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Frank Xu
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Zhiyi Luo
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Kenny Zhu
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IMS at EmoInt-2017: Emotion Intensity Prediction with Affective Norms, Automatically Extended Resources and Deep Learning
Maximilian Köper
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Evgeny Kim
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Roman Klinger
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Seernet at EmoInt-2017: Tweet Emotion Intensity Estimator
Venkatesh Duppada
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Sushant Hiray
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Annotating Italian Social Media Texts in Universal Dependencies
Manuela Sanguinetti
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Cristina Bosco
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Alessandro Mazzei
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Alberto Lavelli
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Fabio Tamburini
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Towards Normalising Konkani-English Code-Mixed Social Media Text
Akshata Phadte
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Gaurish Thakkar
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Stylistic Variation in Social Media Part-of-Speech Tagging
Murali Raghu Babu Balusu
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Taha Merghani
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Jacob Eisenstein
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GHHT at CALCS 2018: Named Entity Recognition for Dialectal Arabic Using Neural Networks
Mohammed Attia
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Younes Samih
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Wolfgang Maier
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IIT (BHU) Submission for the ACL Shared Task on Named Entity Recognition on Code-switched Data
Shashwat Trivedi
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Harsh Rangwani
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Anil Kumar Singh
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A Twitter Corpus for Hindi-English Code Mixed POS Tagging
Kushagra Singh
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Indira Sen
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Ponnurangam Kumaraguru
|
Detecting Diabetes Risk from Social Media Activity
Dane Bell
|
Egoitz Laparra
|
Aditya Kousik
|
Terron Ishihara
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Mihai Surdeanu
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Stephen Kobourov
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Language Independent Sentiment Analysis with Sentiment-Specific Word Embeddings
Carl Saroufim
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Akram Almatarky
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Mohammad Abdel Hady
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http://www.ark.cs.cmu.edu/TweetNLP
https://github.com/saffsd/langid.py
http://bit.ly/
http://www.ark.cs.cmu.edu/TweetNLP/
http://icon.shef.ac.uk/Moby/mwords.html
http://www.cs.cmu.edu/afs/cs/project/
http://en.wikipedia.org/wiki/List_of_
http://www.ark.cs.cmu.edu/TweetNLP/
https://github.com/aritter/twitter_nlp/
http://faculty.nps.edu/
http://www.ark.cs.cmu.edu/TweetNLP
Field Of Study
Linguistic Trends
Discourse
Syntax
Task
Language Identification
Tagging
Chunking
Named Entity Recognition
Information Extraction
Sentiment Analysis
Approach
Semi-supervised Learning
Language
English
Dataset
Social Media
Twitter
Blogs
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