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Retrofitting Word Vectors to Semantic Lexicons
Manaal Faruqui
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Jesse Dodge
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Sujay Kumar Jauhar
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Chris Dyer
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Eduard Hovy
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Noah A. Smith
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Paper Details:
Month: May–June
Year: 2015
Location: Denver, Colorado
Venue:
NAACL |
Citations
URL
Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?
Christophe Servan
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Alexandre Bérard
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Zied Elloumi
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Hervé Blanchon
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Laurent Besacier
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Survey on the Use of Typological Information in Natural Language Processing
Helen O’Horan
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Yevgeni Berzak
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Ivan Vulić
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Roi Reichart
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Anna Korhonen
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D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities
Shoaib Jameel
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Steven Schockaert
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Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong
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Yue Zhang
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Donghong Ji
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Yinxia Lou
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Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning
Luis Espinosa-Anke
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Jose Camacho-Collados
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Sara Rodríguez-Fernández
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Horacio Saggion
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Leo Wanner
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Language classification from bilingual word embedding graphs
Steffen Eger
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Armin Hoenen
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Alexander Mehler
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Embedding WordNet Knowledge for Textual Entailment
Yunshi Lan
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Jing Jiang
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Learning Emotion-enriched Word Representations
Ameeta Agrawal
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Aijun An
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Manos Papagelis
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Encoding Sentiment Information into Word Vectors for Sentiment Analysis
Zhe Ye
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Fang Li
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Timothy Baldwin
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Task-oriented Word Embedding for Text Classification
Qian Liu
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Heyan Huang
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Yang Gao
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Xiaochi Wei
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Yuxin Tian
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Luyang Liu
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Aff2Vec: Affect–Enriched Distributional Word Representations
Sopan Khosla
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Niyati Chhaya
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Kushal Chawla
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An Exploration of Three Lightly-supervised Representation Learning Approaches for Named Entity Classification
Ajay Nagesh
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Mihai Surdeanu
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Retrofitting Distributional Embeddings to Knowledge Graphs with Functional Relations
Ben Lengerich
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Andrew Maas
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Christopher Potts
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SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
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Steven Schockaert
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Specializing Word Embeddings for Similarity or Relatedness
Douwe Kiela
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Felix Hill
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Stephen Clark
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Evaluation of Word Vector Representations by Subspace Alignment
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Guillaume Lample
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Chris Dyer
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Rationalizing Neural Predictions
Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Vector-space models for PPDB paraphrase ranking in context
Marianna Apidianaki
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SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity
Daniela Gerz
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Ivan Vulić
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Felix Hill
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Roi Reichart
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Anna Korhonen
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Ngram2vec: Learning Improved Word Representations from Ngram Co-occurrence Statistics
Zhe Zhao
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Tao Liu
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Shen Li
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Bofang Li
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Xiaoyong Du
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Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
John Wieting
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Jonathan Mallinson
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Kevin Gimpel
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Refining Word Embeddings for Sentiment Analysis
Liang-Chih Yu
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Jin Wang
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K. Robert Lai
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Xuejie Zhang
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Zero-Shot Activity Recognition with Verb Attribute Induction
Rowan Zellers
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Yejin Choi
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A Continuously Growing Dataset of Sentential Paraphrases
Wuwei Lan
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Siyu Qiu
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Hua He
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Wei Xu
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Dual Tensor Model for Detecting Asymmetric Lexico-Semantic Relations
Goran Glavaš
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Simone Paolo Ponzetto
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A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
Hao Cheng
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Hao Fang
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Mari Ostendorf
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Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation
Ivan Vulić
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Nikola Mrkšić
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Anna Korhonen
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Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti
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Ivan Vulić
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Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Increasing In-Class Similarity by Retrofitting Embeddings with Demographic Information
Dirk Hovy
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Tommaso Fornaciari
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Preposition Sense Disambiguation and Representation
Hongyu Gong
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Jiaqi Mu
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Suma Bhat
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Pramod Viswanath
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Lessons from Natural Language Inference in the Clinical Domain
Alexey Romanov
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Chaitanya Shivade
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Attentive Gated Lexicon Reader with Contrastive Contextual Co-Attention for Sentiment Classification
Yi Tay
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Anh Tuan Luu
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Siu Cheung Hui
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Jian Su
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Capturing Regional Variation with Distributed Place Representations and Geographic Retrofitting
Dirk Hovy
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Christoph Purschke
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Learning Disentangled Representations of Texts with Application to Biomedical Abstracts
Sarthak Jain
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Edward Banner
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Jan-Willem van de Meent
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Iain J. Marshall
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Byron C. Wallace
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Refining Pretrained Word Embeddings Using Layer-wise Relevance Propagation
Akira Utsumi
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Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation
Ivan Vulić
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Douwe Kiela
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Anna Korhonen
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Lexical Simplification with Neural Ranking
Gustavo Paetzold
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Lucia Specia
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Inducing Embeddings for Rare and Unseen Words by Leveraging Lexical Resources
Mohammad Taher Pilehvar
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Nigel Collier
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Efficient, Compositional, Order-sensitive n-gram Embeddings
Adam Poliak
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Pushpendre Rastogi
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M. Patrick Martin
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Benjamin Van Durme
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Improving Neural Knowledge Base Completion with Cross-Lingual Projections
Patrick Klein
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Simone Paolo Ponzetto
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Goran Glavaš
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Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering
João Sedoc
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Daniel Preoţiuc-Pietro
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Lyle Ungar
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Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion
Olivier Ferret
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Injecting Word Embeddings with Another Language’s Resource : An Application of Bilingual Embeddings
Prakhar Pandey
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Vikram Pudi
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Manish Shrivastava
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Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini
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Jose Camacho-Collados
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Ignacio Iacobacci
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Roberto Navigli
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Learning Word Representations with Regularization from Prior Knowledge
Yan Song
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Chia-Jung Lee
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Fei Xia
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Modelling Salient Features as Directions in Fine-Tuned Semantic Spaces
Thomas Ager
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Ondřej Kuželka
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Steven Schockaert
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Ganesh Jawahar
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Benjamin Muller
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Amal Fethi
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Louis Martin
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Éric Villemonte de la Clergerie
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Benoît Sagot
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Djamé Seddah
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Paraphrasing Out-of-Vocabulary Words with Word Embeddings and Semantic Lexicons for Low Resource Statistical Machine Translation
Chenhui Chu
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Sadao Kurohashi
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Example-based Acquisition of Fine-grained Collocation Resources
Sara Rodríguez-Fernández
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Roberto Carlini
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Luis Espinosa Anke
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Leo Wanner
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Retrofitting Word Representations for Unsupervised Sense Aware Word Similarities
Steffen Remus
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Chris Biemann
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Evaluation of Domain-specific Word Embeddings using Knowledge Resources
Farhad Nooralahzadeh
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Lilja Øvrelid
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Jan Tore Lønning
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Counter-fitting Word Vectors to Linguistic Constraints
Nikola Mrkšić
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Diarmuid Ó Séaghdha
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Blaise Thomson
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Milica Gašić
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Lina M. Rojas-Barahona
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Pei-Hao Su
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David Vandyke
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Tsung-Hsien Wen
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Steve Young
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Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe
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Sebastian Ebert
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Hinrich Schütze
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Can Network Embedding of Distributional Thesaurus Be Combined with Word Vectors for Better Representation?
Abhik Jana
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Pawan Goyal
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Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources
Ivan Vulić
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Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Querying Word Embeddings for Similarity and Relatedness
Fatemeh Torabi Asr
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Robert Zinkov
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Michael Jones
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Specialising Word Vectors for Lexical Entailment
Ivan Vulić
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Nikola Mrkšić
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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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Discriminating between Lexico-Semantic Relations with the Specialization Tensor Model
Goran Glavaš
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Ivan Vulić
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Mittens: an Extension of GloVe for Learning Domain-Specialized Representations
Nicholas Dingwall
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Christopher Potts
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A Unified Multilingual Semantic Representation of Concepts
José Camacho-Collados
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Mohammad Taher Pilehvar
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Roberto Navigli
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Sparse Overcomplete Word Vector Representations
Manaal Faruqui
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Yulia Tsvetkov
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Dani Yogatama
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Chris Dyer
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Noah A. Smith
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A Multitask Objective to Inject Lexical Contrast into Distributional Semantics
Nghia The Pham
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Angeliki Lazaridou
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Marco Baroni
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PPDB 2.0: Better paraphrase ranking, fine-grained entailment relations, word embeddings, and style classification
Ellie Pavlick
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Pushpendre Rastogi
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Juri Ganitkevitch
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Benjamin Van Durme
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Chris Callison-Burch
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Non-distributional Word Vector Representations
Manaal Faruqui
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Chris Dyer
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Brian MacWhinney
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Chris Dyer
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Embeddings for Word Sense Disambiguation: An Evaluation Study
Ignacio Iacobacci
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Mohammad Taher Pilehvar
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Roberto Navigli
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Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
Tom Kenter
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Alexey Borisov
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Maarten de Rijke
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Morphological Smoothing and Extrapolation of Word Embeddings
Ryan Cotterell
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Hinrich Schütze
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Jason Eisner
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Take and Took, Gaggle and Goose, Book and Read: Evaluating the Utility of Vector Differences for Lexical Relation Learning
Ekaterina Vylomova
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Laura Rimell
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Trevor Cohn
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Timothy Baldwin
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Jointly Learning to Embed and Predict with Multiple Languages
Daniel C. Ferreira
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André F. T. Martins
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Mariana S. C. Almeida
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Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
Teng Long
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Ryan Lowe
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Jackie Chi Kit Cheung
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Doina Precup
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Semantics-Driven Recognition of Collocations Using Word Embeddings
Sara Rodríguez-Fernández
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Luis Espinosa-Anke
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Roberto Carlini
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Leo Wanner
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Incorporating Relational Knowledge into Word Representations using Subspace Regularization
Abhishek Kumar
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Jun Araki
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Semantic Word Clusters Using Signed Spectral Clustering
João Sedoc
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Jean Gallier
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Dean Foster
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Lyle Ungar
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Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
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Waleed Ammar
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Chris Dyer
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Eduard Hovy
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Explicit Retrofitting of Distributional Word Vectors
Goran Glavaš
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Ivan Vulić
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ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
John Wieting
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Kevin Gimpel
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Two Methods for Domain Adaptation of Bilingual Tasks: Delightfully Simple and Broadly Applicable
Viktor Hangya
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Fabienne Braune
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Alexander Fraser
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Hinrich Schütze
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Searching for the X-Factor: Exploring Corpus Subjectivity for Word Embeddings
Maksim Tkachenko
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Chong Cher Chia
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Hady Lauw
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hyperdoc2vec: Distributed Representations of Hypertext Documents
Jialong Han
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Yan Song
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Wayne Xin Zhao
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Shuming Shi
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Haisong Zhang
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Neural Natural Language Inference Models Enhanced with External Knowledge
Qian Chen
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Xiaodan Zhu
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Zhen-Hua Ling
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Diana Inkpen
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Si Wei
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AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples
Dongyeop Kang
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Tushar Khot
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Ashish Sabharwal
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Eduard Hovy
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Incorporating Chinese Characters of Words for Lexical Sememe Prediction
Huiming Jin
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Hao Zhu
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Zhiyuan Liu
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Ruobing Xie
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Maosong Sun
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Fen Lin
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Leyu Lin
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Using pseudo-senses for improving the extraction of synonyms from word embeddings
Olivier Ferret
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Scoring Lexical Entailment with a Supervised Directional Similarity Network
Marek Rei
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Daniela Gerz
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Ivan Vulić
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evision PDF of 'From Paraphrase Database to Compositional Paraphrase Model and Back
John Wieting
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Mohit Bansal
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Kevin Gimpel
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Karen Livescu
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Learning to Understand Phrases by Embedding the Dictionary
Felix Hill
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Kyunghyun Cho
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Anna Korhonen
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Yoshua Bengio
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Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
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Shashi Narayan
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Shay B. Cohen
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Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints
Nikola Mrkšić
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Ivan Vulić
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Diarmuid Ó Séaghdha
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Ira Leviant
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Roi Reichart
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Milica Gašić
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Anna Korhonen
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Steve Young
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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell
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Hinrich Schütze
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Evaluating the Stability of Embedding-based Word Similarities
Maria Antoniak
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David Mimno
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Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction
Daniela Gerz
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Ivan Vulić
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Edoardo Ponti
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Jason Naradowsky
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Roi Reichart
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Anna Korhonen
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A Hybrid Distributional and Knowledge-based Model of Lexical Semantics
Nikolaos Aletras
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Mark Stevenson
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Orthogonality regularizer for question answering
Chunyang Xiao
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Guillaume Bouchard
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Marc Dymetman
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Claire Gardent
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SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity
Jose Camacho-Collados
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Mohammad Taher Pilehvar
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Nigel Collier
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Roberto Navigli
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ADAPT at SemEval-2018 Task 9: Skip-Gram Word Embeddings for Unsupervised Hypernym Discovery in Specialised Corpora
Alfredo Maldonado
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Filip Klubička
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300-sparsans at SemEval-2018 Task 9: Hypernymy as interaction of sparse attributes
Gábor Berend
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Márton Makrai
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Péter Földiák
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UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones
Ignacio Arroyo-Fernández
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Ivan Meza
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Carlos-Francisco Méndez-Cruz
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ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
José-Ángel González
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Lluís-F. Hurtado
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Encarna Segarra
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Ferran Pla
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Semantic Information Extraction for Improved Word Embeddings
Jiaqiang Chen
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Gerard de Melo
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Adjusting Word Embeddings with Semantic Intensity Orders
Joo-Kyung Kim
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Marie-Catherine de Marneffe
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Eric Fosler-Lussier
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Using Embedding Masks for Word Categorization
Stefan Ruseti
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Traian Rebedea
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Stefan Trausan-Matu
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Issues in evaluating semantic spaces using word analogies
Tal Linzen
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Subsumption Preservation as a Comparative Measure for Evaluating Sense-Directed Embeddings
Ali Seyed
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Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
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Manaal Faruqui
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Chris Dyer
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Improved Semantic Representation for Domain-Specific Entities
Mohammad Taher Pilehvar
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Nigel Collier
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Modelling the Combination of Generic and Target Domain Embeddings in a Convolutional Neural Network for Sentence Classification
Nut Limsopatham
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Nigel Collier
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Distant supervision for emotion detection using Facebook reactions
Chris Pool
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Malvina Nissim
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Retrofitting Word Vectors of MeSH Terms to Improve Semantic Similarity Measures
Zhiguo Yu
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Trevor Cohen
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Byron Wallace
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Elmer Bernstam
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Todd Johnson
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Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation
Alexander Panchenko
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Stefano Faralli
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Simone Paolo Ponzetto
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Chris Biemann
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Word Sense Filtering Improves Embedding-Based Lexical Substitution
Anne Cocos
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Marianna Apidianaki
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Chris Callison-Burch
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Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context
Shyam Upadhyay
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Kai-Wei Chang
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Matt Taddy
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Adam Kalai
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James Zou
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Are Distributional Representations Ready for the Real World? Evaluating Word Vectors for Grounded Perceptual Meaning
Lucy Li
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Jon Gauthier
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Reconstruction of Word Embeddings from Sub-Word Parameters
Karl Stratos
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Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes
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Roman Klinger
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Sabine Schulte im Walde
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An Adaptable Lexical Simplification Architecture for Major Ibero-Romance Languages
Daniel Ferrés
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Horacio Saggion
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Xavier Gómez Guinovart
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Deep Learning for Depression Detection of Twitter Users
Ahmed Husseini Orabi
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Prasadith Buddhitha
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Mahmoud Husseini Orabi
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Diana Inkpen
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The Social and the Neural Network: How to Make Natural Language Processing about People again
Dirk Hovy
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Subword-level Composition Functions for Learning Word Embeddings
Bofang Li
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Aleksandr Drozd
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Tao Liu
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Xiaoyong Du
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WordNet Embeddings
Chakaveh Saedi
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António Branco
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João António Rodrigues
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João Silva
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Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić
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Investigating Effective Parameters for Fine-tuning of Word Embeddings Using Only a Small Corpus
Kanako Komiya
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Hiroyuki Shinnou
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Automatically Linking Lexical Resources with Word Sense Embedding Models
Luis Nieto-Piña
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Richard Johansson
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On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados
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Mohammad Taher Pilehvar
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https://github.com/
http://www-nlp.stanford.edu/projects/
https://code.google.com/p/word2vec
http://nlp.stanford.edu/
http://cs.cmu.edu/
http://www.cis.upenn.edu/
https://github.com/Gorov/JointRCM
https://www.freebase.com
http://mattmahoney.net/dc/enwik9.zip
http://www.mpi-inf.mpg.de/yago-naga/
Field Of Study
Linguistic Trends
Embeddings
Task
Sentiment Analysis
Language Generation
Machine Translation
Language
Multilingual
English
Spanish
French
Dataset
News
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