NLPExplorer

Word Representations: A Simple and General Method for Semi-Supervised Learning

Joseph Turian | Lev-Arie Ratinov | Yoshua Bengio |

Paper Details:

Month: July
Year: 2010
Location: Uppsala, Sweden
Venue: ACL |

Citations

URL

Learning Sense-specific Word Embeddings By Exploiting Bilingual Resources
Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu |

Joint Opinion Relation Detection Using One-Class Deep Neural Network
Liheng Xu | Kang Liu | Jun Zhao |

Inducing Latent Semantic Relations for Structured Distributional Semantics
Sujay Kumar Jauhar | Eduard Hovy |

Feature Embedding for Dependency Parsing
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A Framework for Translating SMS Messages
Vivek Kumar Rangarajan Sridhar | John Chen | Srinivas Bangalore | Ron Shacham |

A Hybrid Approach to Features Representation for Fine-grained Arabic Named Entity Recognition
Fahd Alotaibi | Mark Lee |

From neighborhood to parenthood: the advantages of dependency representation over bigrams in Brown clustering
Simon Šuster | Gertjan van Noord |

Part of Speech Tagging for French Social Media Data
Farhad Nooralahzadeh | Caroline Brun | Claude Roux |

Selection Bias, Label Bias, and Bias in Ground Truth
Anders Søgaard | Barbara Plank | Dirk Hovy |

A House United: Bridging the Script and Lexical Barrier between Hindi and Urdu
Riyaz A. Bhat | Irshad A. Bhat | Naman Jain | Dipti Misra Sharma |

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Weihua Wang | Feilong Bao | Guanglai Gao |

CharNER: Character-Level Named Entity Recognition
Onur Kuru | Ozan Arkan Can | Deniz Yuret |

Dialogue Act Classification in Domain-Independent Conversations Using a Deep Recurrent Neural Network
Hamed Khanpour | Nishitha Guntakandla | Rodney Nielsen |

Hybrid Question Answering over Knowledge Base and Free Text
Kun Xu | Yansong Feng | Songfang Huang | Dongyan Zhao |

Attention-Based Convolutional Neural Network for Semantic Relation Extraction
Yatian Shen | Xuanjing Huang |

Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction
Pankaj Gupta | Hinrich Schütze | Bernt Andrassy |

Structured Generative Models of Continuous Features for Word Sense Induction
Alexandros Komninos | Suresh Manandhar |

Open-Domain Event Detection using Distant Supervision
Jun Araki | Teruko Mitamura |

Learning Emotion-enriched Word Representations
Ameeta Agrawal | Aijun An | Manos Papagelis |

Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala | Cong Bao |

Robust Lexical Features for Improved Neural Network Named-Entity Recognition
Abbas Ghaddar | Phillippe Langlais |

Transfer Learning for Entity Recognition of Novel Classes
Juan Diego Rodriguez | Adam Caldwell | Alexander Liu |

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Yeachan Kim | Kang-Min Kim | Ji-Min Lee | SangKeun Lee |

Enhancing Chinese Word Segmentation Using Unlabeled Data
Weiwei Sun | Jia Xu |

Cross-Cutting Models of Lexical Semantics
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Named Entity Recognition in Tweets: An Experimental Study
Alan Ritter | Sam Clark | Mausam | Oren Etzioni |

A Comparison of Vector-based Representations for Semantic Composition
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Biased Representation Learning for Domain Adaptation
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Modeling and Learning Semantic Co-Compositionality through Prototype Projections and Neural Networks
Masashi Tsubaki | Kevin Duh | Masashi Shimbo | Yuji Matsumoto |

Exploring Representations from Unlabeled Data with Co-training for Chinese Word Segmentation
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Discriminative Improvements to Distributional Sentence Similarity
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Bilingual Word Embeddings for Phrase-Based Machine Translation
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Deriving Adjectival Scales from Continuous Space Word Representations
Joo-Kyung Kim | Marie-Catherine de Marneffe |

Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization
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Revisiting Embedding Features for Simple Semi-supervised Learning
Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu |

Learning Abstract Concept Embeddings from Multi-Modal Data: Since You Probably Can’t See What I Mean
Felix Hill | Anna Korhonen |

Composition of Word Representations Improves Semantic Role Labelling
Michael Roth | Kristian Woodsend |

Correcting Keyboard Layout Errors and Homoglyphs in Queries
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Opinion Mining with Deep Recurrent Neural Networks
Ozan İrsoy | Claire Cardie |

Neural Networks Leverage Corpus-wide Information for Part-of-speech Tagging
Yuta Tsuboi |

A* CCG Parsing with a Supertag-factored Model
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A Unified Model for Word Sense Representation and Disambiguation
Xinxiong Chen | Zhiyuan Liu | Maosong Sun |

Semantic Parsing with Relaxed Hybrid Trees
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Using Mined Coreference Chains as a Resource for a Semantic Task
Heike Adel | Hinrich Schütze |

Glove: Global Vectors for Word Representation
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Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
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#TagSpace: Semantic Embeddings from Hashtags
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Event Role Extraction using Domain-Relevant Word Representations
Emanuela Boroş | Romaric Besançon | Olivier Ferret | Brigitte Grau |

Learning Better Embeddings for Rare Words Using Distributional Representations
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Evaluation methods for unsupervised word embeddings
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Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling
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Named Entity Recognition for Chinese Social Media with Jointly Trained Embeddings
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Neural Networks for Open Domain Targeted Sentiment
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Semantic Role Labeling with Neural Network Factors
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Combining Discrete and Continuous Features for Deterministic Transition-based Dependency Parsing
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Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation
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Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings
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Molding CNNs for text: non-linear, non-consecutive convolutions
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Event Detection and Factuality Assessment with Non-Expert Supervision
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Adapting Phrase-based Machine Translation to Normalise Medical Terms in Social Media Messages
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Online Learning of Interpretable Word Embeddings
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Improved Relation Extraction with Feature-Rich Compositional Embedding Models
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Specializing Word Embeddings for Similarity or Relatedness
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Exploiting Debate Portals for Semi-Supervised Argumentation Mining in User-Generated Web Discourse
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Comparing Word Representations for Implicit Discourse Relation Classification
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Syntactic Dependencies and Distributed Word Representations for Analogy Detection and Mining
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Distributed Representations for Unsupervised Semantic Role Labeling
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That’s So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets
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Deep Multi-Task Learning with Shared Memory for Text Classification
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Context-Dependent Sense Embedding
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Learning Connective-based Word Representations for Implicit Discourse Relation Identification
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Modeling Skip-Grams for Event Detection with Convolutional Neural Networks
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Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings
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Global Neural CCG Parsing with Optimality Guarantees
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VecShare: A Framework for Sharing Word Representation Vectors
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Word Re-Embedding via Manifold Dimensionality Retention
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Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
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Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
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The strange geometry of skip-gram with negative sampling
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A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
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Unsupervised Multilingual Word Embeddings
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Auto-Encoding Dictionary Definitions into Consistent Word Embeddings
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Why Swear? Analyzing and Inferring the Intentions of Vulgar Expressions
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Learning Word Representations with Cross-Sentence Dependency for End-to-End Co-reference Resolution
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A Bayesian Approach to Unsupervised Semantic Role Induction
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Generalization Methods for In-Domain and Cross-Domain Opinion Holder Extraction
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Improving Vector Space Word Representations Using Multilingual Correlation
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Word Embeddings through Hellinger PCA
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Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns
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Automatic Food Categorization from Large Unlabeled Corpora and Its Impact on Relation Extraction
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Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields
Teemu Ruokolainen | Oskar Kohonen | Sami Virpioja | Mikko Kurimo |

Delexicalized Word Embeddings for Cross-lingual Dependency Parsing
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Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm
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SMARTies: Sentiment Models for Arabic Target entities
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Entity Extraction in Biomedical Corpora: An Approach to Evaluate Word Embedding Features with PSO based Feature Selection
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Cross-Lingual Syntactically Informed Distributed Word Representations
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Discourse Relations and Conjoined VPs: Automated Sense Recognition
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Word Ordering as Unsupervised Learning Towards Syntactically Plausible Word Representations
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Training Word Sense Embeddings With Lexicon-based Regularization
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An Ensemble Method with Sentiment Features and Clustering Support
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Multilingual Hierarchical Attention Networks for Document Classification
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Modelling Representation Noise in Emotion Analysis using Gaussian Processes
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Cross-lingual Transfer for Unsupervised Dependency Parsing Without Parallel Data
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Multichannel Variable-Size Convolution for Sentence Classification
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Task-Oriented Learning of Word Embeddings for Semantic Relation Classification
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The UniTN Discourse Parser in CoNLL 2015 Shared Task: Token-level Sequence Labeling with Argument-specific Models
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A Minimalist Approach to Shallow Discourse Parsing and Implicit Relation Recognition
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JAIST: A two-phase machine learning approach for identifying discourse relations in newswire texts
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Event Embeddings for Semantic Script Modeling
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UniTN End-to-End Discourse Parser for CoNLL 2016 Shared Task
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Use of unsupervised word classes for entity recognition: Application to the detection of disorders in clinical reports
Maria Evangelia Chatzimina | Cyril Grouin | Pierre Zweigenbaum |

Crowdsourcing and annotating NER for Twitter #drift
Hege Fromreide | Dirk Hovy | Anders Søgaard |

Word Embedding Evaluation and Combination
Sahar Ghannay | Benoit Favre | Yannick Estève | Nathalie Camelin |

Named Entity Recognition on Twitter for Turkish using Semi-supervised Learning with Word Embeddings
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Neural Scoring Function for MST Parser
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Multi-prototype Chinese Character Embedding
Yanan Lu | Yue Zhang | Donghong Ji |

Specialising Paragraph Vectors for Text Polarity Detection
Fabio Tamburini |

Evaluating Unsupervised Dutch Word Embeddings as a Linguistic Resource
Stéphan Tulkens | Chris Emmery | Walter Daelemans |

Medical Concept Embeddings via Labeled Background Corpora
Eneldo Loza Mencía | Gerard de Melo | Jinseok Nam |

Joint Learning of Sense and Word Embeddings
Mohammed Alsuhaibani | Danushka Bollegala |

Comparing Pretrained Multilingual Word Embeddings on an Ontology Alignment Task
Dagmar Gromann | Thierry Declerck |

Disambiguation of Verbal Shifters
Michael Wiegand | Sylvette Loda | Josef Ruppenhofer |

Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
Oscar Täckström | Ryan McDonald | Jakob Uszkoreit |

Graph-Based Lexicon Expansion with Sparsity-Inducing Penalties
Dipanjan Das | Noah A. Smith |

Deep Unsupervised Feature Learning for Natural Language Processing
Stephan Gouws |

Linguistic Regularities in Continuous Space Word Representations
Tomas Mikolov | Wen-tau Yih | Geoffrey Zweig |

Semi-Supervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains
Kaveh Taghipour | Hwee Tou Ng |

Robust Morphological Tagging with Word Representations
Thomas Müller | Hinrich Schuetze |

NASARI: a Novel Approach to a Semantically-Aware Representation of Items
José Camacho-Collados | Mohammad Taher Pilehvar | Roberto Navigli |

Unsupervised Multi-Domain Adaptation with Feature Embeddings
Yi Yang | Jacob Eisenstein |

The Unreasonable Effectiveness of Word Representations for Twitter Named Entity Recognition
Colin Cherry | Hongyu Guo |

Convolutional Neural Network for Paraphrase Identification
Wenpeng Yin | Hinrich Schütze |

Word Embedding-based Antonym Detection using Thesauri and Distributional Information
Masataka Ono | Makoto Miwa | Yutaka Sasaki |

Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation
Chao Xing | Dong Wang | Chao Liu | Yiye Lin |

Unsupervised Sparse Vector Densification for Short Text Similarity
Yangqiu Song | Dan Roth |

Morphological Word-Embeddings
Ryan Cotterell | Hinrich Schütze |

Two/Too Simple Adaptations of Word2Vec for Syntax Problems
Wang Ling | Chris Dyer | Alan W. Black | Isabel Trancoso |

Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction
Mo Yu | Matthew R. Gormley | Mark Dredze |

Simple task-specific bilingual word embeddings
Stephan Gouws | Anders Søgaard |

Random Walks and Neural Network Language Models on Knowledge Bases
Josu Goikoetxea | Aitor Soroa | Eneko Agirre |

Learning Translation Models from Monolingual Continuous Representations
Kai Zhao | Hany Hassan | Michael Auli |

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks
Wenduan Xu | Michael Auli | Stephen Clark |

LSTM CCG Parsing
Mike Lewis | Kenton Lee | Luke Zettlemoyer |

Dynamic Feature Induction: The Last Gist to the State-of-the-Art
Jinho D. Choi |

Joint Event Extraction via Recurrent Neural Networks
Thien Huu Nguyen | Kyunghyun Cho | Ralph Grishman |

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
Yangfeng Ji | Gholamreza Haffari | Jacob Eisenstein |

Shift-Reduce CCG Parsing using Neural Network Models
Bharat Ram Ambati | Tejaswini Deoskar | Mark Steedman |

Embedding Lexical Features via Low-Rank Tensors
Mo Yu | Mark Dredze | Raman Arora | Matthew R. Gormley |

BIRA: Improved Predictive Exchange Word Clustering
Jon Dehdari | Liling Tan | Josef van Genabith |

The Instantiation Discourse Relation: A Corpus Analysis of Its Properties and Improved Detection
Junyi Jessy Li | Ani Nenkova |

K-Embeddings: Learning Conceptual Embeddings for Words using Context-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu | D. Stott Parker |

Part-of-Speech Tagging for Historical English
Yi Yang | Jacob Eisenstein |

Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster | Ivan Titov | Gertjan van Noord |

Specialising Word Vectors for Lexical Entailment
Ivan Vulić | Nikola Mrkšić |

Determining Event Durations: Models and Error Analysis
Alakananda Vempala | Eduardo Blanco | Alexis Palmer |

Frustratingly Easy Meta-Embedding – Computing Meta-Embeddings by Averaging Source Word Embeddings
Joshua Coates | Danushka Bollegala |

Generating Continuous Representations of Medical Texts
Graham Spinks | Marie-Francine Moens |

Scalable Construction and Reasoning of Massive Knowledge Bases
Xiang Ren | Nanyun Peng | William Yang Wang |

Semi-supervised Relation Extraction with Large-scale Word Clustering
Ang Sun | Ralph Grishman | Satoshi Sekine |

Piggyback: Using Search Engines for Robust Cross-Domain Named Entity Recognition
Stefan Rüd | Massimiliano Ciaramita | Jens Müller | Hinrich Schütze |

Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
Jun Suzuki | Hideki Isozaki | Masaaki Nagata |

Improving Word Representations via Global Context and Multiple Word Prototypes
Eric Huang | Richard Socher | Christopher Manning | Andrew Ng |

Scaling Semi-supervised Naive Bayes with Feature Marginals
Michael Lucas | Doug Downey |

The Haves and the Have-Nots: Leveraging Unlabelled Corpora for Sentiment Analysis
Kashyap Popat | Balamurali A.R | Pushpak Bhattacharyya | Gholamreza Haffari |

Parsing with Compositional Vector Grammars
Richard Socher | John Bauer | Christopher D. Manning | Andrew Y. Ng |

Additive Neural Networks for Statistical Machine Translation
Lemao Liu | Taro Watanabe | Eiichiro Sumita | Tiejun Zhao |

The Role of Syntax in Vector Space Models of Compositional Semantics
Karl Moritz Hermann | Phil Blunsom |

Re-embedding words
Igor Labutov | Hod Lipson |

An Information Theoretic Approach to Bilingual Word Clustering
Manaal Faruqui | Chris Dyer |

Representation Learning for Text-level Discourse Parsing
Yangfeng Ji | Jacob Eisenstein |

Multilingual Models for Compositional Distributed Semantics
Karl Moritz Hermann | Phil Blunsom |

Logical Inference on Dependency-based Compositional Semantics
Ran Tian | Yusuke Miyao | Takuya Matsuzaki |

Tagging The Web: Building A Robust Web Tagger with Neural Network
Ji Ma | Yue Zhang | Jingbo Zhu |

Less Grammar, More Features
David Hall | Greg Durrett | Dan Klein |

Don’t count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors
Marco Baroni | Georgiana Dinu | Germán Kruszewski |

Product Feature Mining: Semantic Clues versus Syntactic Constituents
Liheng Xu | Kang Liu | Siwei Lai | Jun Zhao |

A Convolutional Neural Network for Modelling Sentences
Nal Kalchbrenner | Edward Grefenstette | Phil Blunsom |

Spectral Unsupervised Parsing with Additive Tree Metrics
Ankur P. Parikh | Shay B. Cohen | Eric P. Xing |

evision PDF of 'Semantic Frame Identification with Distributed Word Representations
Karl Moritz Hermann | Dipanjan Das | Jason Weston | Kuzman Ganchev |

Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction
Thien Huu Nguyen | Ralph Grishman |

Learning Bilingual Word Representations by Marginalizing Alignments
Tomáš Kočiský | Karl Moritz Hermann | Phil Blunsom |

POS induction with distributional and morphological information using a distance-dependent Chinese restaurant process
Kairit Sirts | Jacob Eisenstein | Micha Elsner | Sharon Goldwater |

Dependency-Based Word Embeddings
Omer Levy | Yoav Goldberg |

Building Sentiment Lexicons for All Major Languages
Yanqing Chen | Steven Skiena |

Improving Lexical Embeddings with Semantic Knowledge
Mo Yu | Mark Dredze |

Training a Korean SRL System with Rich Morphological Features
Young-Bum Kim | Heemoon Chae | Benjamin Snyder | Yu-Seop Kim |

Tailoring Continuous Word Representations for Dependency Parsing
Mohit Bansal | Kevin Gimpel | Karen Livescu |

How much do word embeddings encode about syntax?
Jacob Andreas | Dan Klein |

Distributed Representations of Geographically Situated Language
David Bamman | Chris Dyer | Noah A. Smith |

Improving Text Normalization via Unsupervised Model and Discriminative Reranking
Chen Li | Yang Liu |

Community Evaluation and Exchange of Word Vectors at wordvectors.org
Manaal Faruqui | Chris Dyer |

SensEmbed: Learning Sense Embeddings for Word and Relational Similarity
Ignacio Iacobacci | Mohammad Taher Pilehvar | Roberto Navigli |

Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
Guangyou Zhou | Tingting He | Jun Zhao | Po Hu |

Question Answering over Freebase with Multi-Column Convolutional Neural Networks
Li Dong | Furu Wei | Ming Zhou | Ke Xu |

Neural CRF Parsing
Greg Durrett | Dan Klein |

Semantic Representations for Domain Adaptation: A Case Study on the Tree Kernel-based Method for Relation Extraction
Thien Huu Nguyen | Barbara Plank | Ralph Grishman |

Gaussian LDA for Topic Models with Word Embeddings
Rajarshi Das | Manzil Zaheer | Chris Dyer |

A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
Chenxi Zhu | Xipeng Qiu | Xinchi Chen | Xuanjing Huang |

Transition-based Neural Constituent Parsing
Taro Watanabe | Eiichiro Sumita |

Transferring Coreference Resolvers with Posterior Regularization
André F. T. Martins |

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks
Kai Sheng Tai | Richard Socher | Christopher D. Manning |

Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering
Tao Chen | Ruifeng Xu | Yulan He | Xuan Wang |

Representation Based Translation Evaluation Metrics
Boxing Chen | Hongyu Guo |

Pre-training of Hidden-Unit CRFs
Young-Bum Kim | Karl Stratos | Ruhi Sarikaya |

CCG Supertagging with a Recurrent Neural Network
Wenduan Xu | Michael Auli | Stephen Clark |

Embedding Methods for Fine Grained Entity Type Classification
Dani Yogatama | Daniel Gillick | Nevena Lazic |

Open IE as an Intermediate Structure for Semantic Tasks
Gabriel Stanovsky | Ido Dagan | Mausam |

Event Detection and Domain Adaptation with Convolutional Neural Networks
Thien Huu Nguyen | Ralph Grishman |

Cross-lingual Transfer of Named Entity Recognizers without Parallel Corpora
Ayah Zirikly | Masato Hagiwara |

Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation
Min Xiao | Yuhong Guo |

Machine Comprehension with Syntax, Frames, and Semantics
Hai Wang | Mohit Bansal | Kevin Gimpel | David McAllester |

Dialogue Management based on Sentence Clustering
Wendong Ge | Bo Xu |

Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers
Chuan Wang | Nianwen Xue | Sameer Pradhan |

On the Role of Seed Lexicons in Learning Bilingual Word Embeddings
Ivan Vulić | Anna Korhonen |

Transition-Based Neural Word Segmentation
Meishan Zhang | Yue Zhang | Guohong Fu |

Normalising Medical Concepts in Social Media Texts by Learning Semantic Representation
Nut Limsopatham | Nigel Collier |

Learning Word Meta-Embeddings
Wenpeng Yin | Hinrich Schütze |

Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova | Laura Rimell | Trevor Cohn | Timothy Baldwin |

Situation entity types: automatic classification of clause-level aspect
Annemarie Friedrich | Alexis Palmer | Manfred Pinkal |

Jointly Learning to Embed and Predict with Multiple Languages
Daniel C. Ferreira | André F. T. Martins | Mariana S. C. Almeida |

Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning
Nanyun Peng | Mark Dredze |

Word Embeddings with Limited Memory
Shaoshi Ling | Yangqiu Song | Dan Roth |

Matrix Factorization using Window Sampling and Negative Sampling for Improved Word Representations
Alexandre Salle | Aline Villavicencio | Marco Idiart |

Incorporating Relational Knowledge into Word Representations using Subspace Regularization
Abhishek Kumar | Jun Araki |

Is “Universal Syntax” Universally Useful for Learning Distributed Word Representations?
Ivan Vulić | Anna Korhonen |

A* CCG Parsing with a Supertag and Dependency Factored Model
Masashi Yoshikawa | Hiroshi Noji | Yuji Matsumoto |

A Two-Stage Parsing Method for Text-Level Discourse Analysis
Yizhong Wang | Sujian Li | Houfeng Wang |

Batch IS NOT Heavy: Learning Word Representations From All Samples
Xin Xin | Fajie Yuan | Xiangnan He | Joemon M. Jose |

Learning Domain-Sensitive and Sentiment-Aware Word Embeddings
Bei Shi | Zihao Fu | Lidong Bing | Wai Lam |

Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction
Ming-Wei Chang | Wen-tau Yih |

FLORS: Fast and Simple Domain Adaptation for Part-of-Speech Tagging
Tobias Schnabel | Hinrich Schütze |

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning
Mengqiu Wang | Christopher D. Manning |

Joint Incremental Disfluency Detection and Dependency Parsing
Matthew Honnibal | Mark Johnson |

Discriminative Lexical Semantic Segmentation with Gaps: Running the MWE Gamut
Nathan Schneider | Emily Danchik | Chris Dyer | Noah A. Smith |

Improved CCG Parsing with Semi-supervised Supertagging
Mike Lewis | Mark Steedman |

Exploring Compositional Architectures and Word Vector Representations for Prepositional Phrase Attachment
Yonatan Belinkov | Tao Lei | Regina Barzilay | Amir Globerson |

Efficient Inference and Structured Learning for Semantic Role Labeling
Oscar Täckström | Kuzman Ganchev | Dipanjan Das |

Learning Composition Models for Phrase Embeddings
Mo Yu | Mark Dredze |

Domain Adaptation for Syntactic and Semantic Dependency Parsing Using Deep Belief Networks
Haitong Yang | Tao Zhuang | Chengqing Zong |

One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations
Yangfeng Ji | Jacob Eisenstein |

Word Embeddings as Metric Recovery in Semantic Spaces
Tatsunori B. Hashimoto | David Alvarez-Melis | Tommi S. Jaakkola |

Named Entity Recognition with Bidirectional LSTM-CNNs
Jason P.C. Chiu | Eric Nichols |

Evaluating the Stability of Embedding-based Word Similarities
Maria Antoniak | David Mimno |

Tune Your Brown Clustering, Please
Leon Derczynski | Sean Chester | Kenneth Bøgh |

Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard | Richard Johansson |

A Simple and Efficient Method to Generate Word Sense Representations
Luis Nieto Piña | Richard Johansson |

Word Embeddings as Features for Supervised Coreference Resolution
Iliana Simova | Hans Uszkoreit |

Word Sense Disambiguation with Recurrent Neural Networks
Alexander Popov |

UTDHLT: COPACETIC System for Choosing Plausible Alternatives
Travis Goodwin | Bryan Rink | Kirk Roberts | Sanda Harabagiu |

Penn: Using Word Similarities to better Estimate Sentence Similarity
Sneha Jha | Hansen A. Schwartz | Lyle Ungar |

iKernels-Core: Tree Kernel Learning for Textual Similarity
Aliaksei Severyn | Massimo Nicosia | Alessandro Moschitti |

DLIREC: Aspect Term Extraction and Term Polarity Classification System
Zhiqiang Toh | Wenting Wang |

TeamX: A Sentiment Analyzer with Enhanced Lexicon Mapping and Weighting Scheme for Unbalanced Data
Yasuhide Miura | Shigeyuki Sakaki | Keigo Hattori | Tomoko Ohkuma |

ULisboa: Identification and Classification of Medical Concepts
André Leal | Diogo Gonçalves | Bruno Martins | Francisco M. Couto |

ECNU: Leveraging Word Embeddings to Boost Performance for Paraphrase in Twitter
Jiang Zhao | Man Lan |

ECNU: Using Traditional Similarity Measurements and Word Embedding for Semantic Textual Similarity Estimation
Jiang Zhao | Man Lan | Jun Feng Tian |

AZMAT: Sentence Similarity Using Associative Matrices
Evan Jaffe | Lifeng Jin | David King | Marten van Schijndel |

ULisboa: Recognition and Normalization of Medical Concepts
André Leal | Bruno Martins | Francisco Couto |

DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
Abeed Sarker | Azadeh Nikfarjam | Davy Weissenbacher | Graciela Gonzalez |

EliXa: A Modular and Flexible ABSA Platform
Iñaki San Vicente | Xabier Saralegi | Rodrigo Agerri |

DiegoLab16 at SemEval-2016 Task 4: Sentiment Analysis in Twitter using Centroids, Clusters, and Sentiment Lexicons
Abeed Sarker | Graciela Gonzalez |

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 | Zhihua Zhang | Man Lan |

ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity
Junfeng Tian | Man Lan |

Amrita_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension
Barathi Ganesh HB | Anand Kumar M | Soman KP |

ICL-HD at SemEval-2016 Task 10: Improving the Detection of Minimal Semantic Units and their Meanings with an Ontology and Word Embeddings
Angelika Kirilin | Felix Krauss | Yannick Versley |

AI-KU at SemEval-2016 Task 11: Word Embeddings and Substring Features for Complex Word Identification
Onur Kuru |

Quantificational features in distributional word representations
Tal Linzen | Emmanuel Dupoux | Benjamin Spector |

Detecting Stance in Tweets And Analyzing its Interaction with Sentiment
Parinaz Sobhani | Saif Mohammad | Svetlana Kiritchenko |

LIM-LIG at SemEval-2017 Task1: Enhancing the Semantic Similarity for Arabic Sentences with Vectors Weighting
El Moatez Billah Nagoudi | Jérémy Ferrero | Didier Schwab |

SZTE-NLP at SemEval-2017 Task 10: A High Precision Sequence Model for Keyphrase Extraction Utilizing Sparse Coding for Feature Generation
Gábor Berend |

Clinical Information Extraction Using Word Representations
Shervin Malmasi | Hamed Hassanzadeh | Mark Dras |

Language Models as Representations for Weakly Supervised NLP Tasks
Fei Huang | Alexander Yates | Arun Ahuja | Doug Downey |

Learning Discriminative Projections for Text Similarity Measures
Wen-tau Yih | Kristina Toutanova | John C. Platt | Christopher Meek |

The CMU-ARK German-English Translation System
Chris Dyer | Kevin Gimpel | Jonathan H. Clark | Noah A. Smith |

Factored Translation with Unsupervised Word Clusters
Christian Rishøj | Anders Søgaard |

Nudging the Envelope of Direct Transfer Methods for Multilingual Named Entity Recognition
Oscar Täckström |

Hierarchical clustering of word class distributions
Grzegorz Chrupała |

Aggregating Continuous Word Embeddings for Information Retrieval
Stéphane Clinchant | Florent Perronnin |

Hidden Markov tree models for semantic class induction
Édouard Grave | Guillaume Obozinski | Francis Bach |

Better Word Representations with Recursive Neural Networks for Morphology
Thang Luong | Richard Socher | Christopher Manning |

Polyglot: Distributed Word Representations for Multilingual NLP
Rami Al-Rfou’ | Bryan Perozzi | Steven Skiena |

Graph-Based Unsupervised Learning of Word Similarities Using Heterogeneous Feature Types
Avneesh Saluja | Jiří Navrátil |

Post-hoc Manipulations of Vector Space Models with Application to Semantic Role Labeling
Jenna Kanerva | Filip Ginter |

Extractive Summarization using Continuous Vector Space Models
Mikael Kågebäck | Olof Mogren | Nina Tahmasebi | Devdatt Dubhashi |

Inducing Neural Models of Script Knowledge
Ashutosh Modi | Ivan Titov |

Looking for Hyponyms in Vector Space
Marek Rei | Ted Briscoe |

Lexicon Infused Phrase Embeddings for Named Entity Resolution
Alexandre Passos | Vineet Kumar | Andrew McCallum |

Distributed Word Representation Learning for Cross-Lingual Dependency Parsing
Min Xiao | Yuhong Guo |

Linguistic Regularities in Sparse and Explicit Word Representations
Omer Levy | Yoav Goldberg |

A Deep Architecture for Semantic Parsing
Edward Grefenstette | Phil Blunsom | Nando de Freitas | Karl Moritz Hermann |

Named Entity Recognition System for Dialectal Arabic
Ayah Zirikly | Mona Diab |

The CMU Submission for the Shared Task on Language Identification in Code-Switched Data
Chu-Cheng Lin | Waleed Ammar | Lori Levin | Chris Dyer |

A Two-Stage Approach for Computing Associative Responses to a Set of Stimulus Words
Urmi Ghosh | Sambhav Jain | Soma Paul |

Unsupervised Text Normalization Using Distributed Representations of Words and Phrases
Vivek Kumar Rangarajan Sridhar |

Distributional Representations of Words for Short Text Classification
Chenglong Ma | Weiqun Xu | Peijia Li | Yonghong Yan |

Relation Extraction: Perspective from Convolutional Neural Networks
Thien Huu Nguyen | Ralph Grishman |

Dependency Link Embeddings: Continuous Representations of Syntactic Substructures
Mohit Bansal |

Word Embeddings vs Word Types for Sequence Labeling: the Curious Case of CV Parsing
Melanie Tosik | Carsten Lygteskov Hansen | Gerard Goossen | Mihai Rotaru |

Bilingual Word Representations with Monolingual Quality in Mind
Thang Luong | Hieu Pham | Christopher D. Manning |

Distributed Word Representations Improve NER for e-Commerce
Mahesh Joshi | Ethan Hart | Mirko Vogel | Jean-David Ruvini |

Named Entity Recognition for Arabic Social Media
Ayah Zirikly | Mona Diab |

Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words
Vivek Kumar Rangarajan Sridhar |

Combining Relational and Distributional Knowledge for Word Sense Disambiguation
Richard Johansson | Luis Nieto Piña |

Improving cross-domain dependency parsing with dependency-derived clusters
Jostein Lien | Erik Velldal | Lilja Øvrelid |

Adapting word2vec to Named Entity Recognition
Scharolta Katharina Sienčnik |

Lexical Semantics and Model Theory: Together at Last?
András Kornai | Marcus Kracht |

Using reading behavior to predict grammatical functions
Maria Barrett | Anders Søgaard |

Exploring Word Embedding for Drug Name Recognition
Isabel Segura-Bedmar | Víctor Suárez-Paniagua | Paloma Martínez |

Parser Adaptation to the Biomedical Domain without Re-Training
Jeff Mitchell | Mark Steedman |

evision PDF of 'Idiom Paraphrases: Seventh Heaven vs Cloud Nine
Maria Pershina | Yifan He | Ralph Grishman |

Multi-level Evaluation for Machine Translation
Boxing Chen | Hongyu Guo | Roland Kuhn |

Evaluating distributed word representations for capturing semantics of biomedical concepts
Muneeb TH | Sunil Sahu | Ashish Anand |

NRC: Infused Phrase Vectors for Named Entity Recognition in Twitter
Colin Cherry | Hongyu Guo | Chengbi Dai |

Hallym: Named Entity Recognition on Twitter with Word Representation
Eun-Suk Yang | Yu-Seop Kim |

Improving Twitter Named Entity Recognition using Word Representations
Zhiqiang Toh | Bin Chen | Jian Su |

Learning finite state word representations for unsupervised Twitter adaptation of POS taggers
Julie Wulff | Anders Søgaard |

Dialogue Management based on Multi-domain Corpus
Wendong Ge | Bo Xu |

An Ontology-based Approach To Automatic Part-of-Speech Tagging Using Heterogeneously Annotated Corpora
Maria Sukhareva | Christian Chiarcos |

Words are not Equal: Graded Weighting Model for Building Composite Document Vectors
Pranjal Singh | Amitabha Mukerjee |

Threat detection in online discussions
Aksel Wester | Lilja Øvrelid | Erik Velldal | Hugo Lewi Hammer |

Mapping Unseen Words to Task-Trained Embedding Spaces
Pranava Swaroop Madhyastha | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone |

A Two-stage Approach for Extending Event Detection to New Types via Neural Networks
Thien Huu Nguyen | Lisheng Fu | Kyunghyun Cho | Ralph Grishman |

Learning Word Importance with the Neural Bag-of-Words Model
Imran Sheikh | Irina Illina | Dominique Fohr | Georges Linarès |

Intrinsic Evaluation of Word Vectors Fails to Predict Extrinsic Performance
Billy Chiu | Anna Korhonen | Sampo Pyysalo |

Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui | Yulia Tsvetkov | Pushpendre Rastogi | Chris Dyer |

Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov | Manaal Faruqui | Chris Dyer |

Spanish NER with Word Representations and Conditional Random Fields
Jenny Linet Copara Zea | Jose Eduardo Ochoa Luna | Camilo Thorne | Goran Glavaš |

Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification
Nut Limsopatham | Nigel Collier |

How to Train good Word Embeddings for Biomedical NLP
Billy Chiu | Gamal Crichton | Anna Korhonen | Sampo Pyysalo |

DeepNNNER: Applying BLSTM-CNNs and Extended Lexicons to Named Entity Recognition in Tweets
Fabrice Dugas | Eric Nichols |

Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP
Kirk Roberts |

A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Hong Jin Kang | Tao Chen | Muthu Kumar Chandrasekaran | Min-Yen Kan |

Learning Orthographic Features in Bi-directional LSTM for Biomedical Named Entity Recognition
Nut Limsopatham | Nigel Collier |

Detecting Social Roles in Twitter
Sunghwan Mac Kim | Stephen Wan | Cécile Paris |

Sentence Based Discourse Classification for Hindi Story Text-to-Speech (TTS) System
Kumud Tripathi | Parakrant Sarkar | K. Sreenivasa Rao |

Opinion Mining in a Code-Mixed Environment: A Case Study with Government Portals
Deepak Gupta | Ankit Lamba | Asif Ekbal | Pushpak Bhattacharyya |

Linear Ensembles of Word Embedding Models
Avo Muromägi | Kairit Sirts | Sven Laur |

Semantic Similarity of Arabic Sentences with Word Embeddings
El Moatez Billah Nagoudi | Didier Schwab |

Sentence Alignment using Unfolding Recursive Autoencoders
Jeenu Grover | Pabitra Mitra |

Context encoders as a simple but powerful extension of word2vec
Franziska Horn |

Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu | Kevin Gimpel | Karen Livescu |

Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning
Lucy Li | Jon Gauthier |

Latent-Variable PCFGs: Background and Applications
Shay Cohen |

Predicting Specificity in Classroom Discussion
Luca Lugini | Diane Litman |

Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets
Athanasios Giannakopoulos | Claudiu Musat | Andreea Hossmann | Michael Baeriswyl |

Prepositional Phrase Attachment over Word Embedding Products
Pranava Swaroop Madhyastha | Xavier Carreras | Ariadna Quattoni |

Evaluating Word Embeddings for Sentence Boundary Detection in Speech Transcripts
Marcos Treviso | Christopher Shulby | Sandra Aluísio |

Role Semantics for Better Models of Implicit Discourse Relations
Michael Roth |

UnibucKernel: A kernel-based learning method for complex word identification
Andrei Butnaru | Radu Tudor Ionescu |

An LSTM-CRF Based Approach to Token-Level Metaphor Detection
Malay Pramanick | Ashim Gupta | Pabitra Mitra |

Investigating Domain-Specific Information for Neural Coreference Resolution on Biomedical Texts
Hai-Long Trieu | Nhung T. H. Nguyen | Makoto Miwa | Sophia Ananiadou |

Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
Hwiyeol Jo | Stanley Jungkyu Choi |

Evaluating Textual Representations through Image Generation
Graham Spinks | Marie-Francine Moens |

Interpreting Word-Level Hidden State Behaviour of Character-Level LSTM Language Models
Avery Hiebert | Cole Peterson | Alona Fyshe | Nishant Mehta |

Predicting and interpreting embeddings for out of vocabulary words in downstream tasks
Nicolas Garneau | Jean-Samuel Leboeuf | Luc Lamontagne |

Keep It or Not: Word Level Quality Estimation for Post-Editing
Prasenjit Basu | Santanu Pal | Sudip Kumar Naskar |

Reducing Lexical Features in Parsing by Word Embeddings
Hiroya Komatsu | Ran Tian | Naoaki Okazaki | Kentaro Inui |

http://metaoptimize.com/

Field Of Study

Linguistic Trends

Embeddings

Task

Tagging Chunking Named Entity Recognition

Approach

Semi-supervised Learning

Language

Chinese English Hebrew

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