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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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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
Nanyun Peng
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Mark Dredze
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F-Score Driven Max Margin Neural Network for Named Entity Recognition in Chinese Social Media
Hangfeng He
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Xu Sun
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Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings
Eda Okur
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Hakan Demir
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Arzucan Özgür
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Representation Based Translation Evaluation Metrics
Boxing Chen
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Hongyu Guo
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Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
Nanyun Peng
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Mark Dredze
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A Deep Network with Visual Text Composition Behavior
Hongyu Guo
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Evaluating the Stability of Embedding-based Word Similarities
Maria Antoniak
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David Mimno
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USFD: Twitter NER with Drift Compensation and Linked Data
Leon Derczynski
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Isabelle Augenstein
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Kalina Bontcheva
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NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter
Colin Cherry
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Hongyu Guo
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Chengbi Dai
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Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition
Timothy Baldwin
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Marie Catherine de Marneffe
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Bo Han
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Young-Bum Kim
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Alan Ritter
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Wei Xu
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Improving Twitter Named Entity Recognition using Word Representations
Zhiqiang Toh
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Bin Chen
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Jian Su
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Learning to recognise named entities in tweets by exploiting weakly labelled data
Kurt Junshean Espinosa
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Riza Theresa Batista-Navarro
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Sophia Ananiadou
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Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation
Mark Dredze
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Nicholas Andrews
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Jay DeYoung
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From Shakespeare to Twitter: What are Language Styles all about?
Wei Xu
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http://www.ark.cs.cmu.edu/TweetNLP/
Field Of Study
Linguistic Trends
Embeddings
Morphology
Task
Tagging
Named Entity Recognition
Information Extraction
Relation Extraction
Approach
Semi-supervised Learning
Language
English
Dataset
News
Social Media
Twitter
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