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AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe
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Hinrich Schütze
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
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
|
Anna Korhonen
|
Semi-supervised Word Sense Disambiguation with Neural Models
Dayu Yuan
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Julian Richardson
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Ryan Doherty
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Colin Evans
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Eric Altendorf
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Predicting the Evocation Relation between Lexicalized Concepts
Yoshihiko Hayashi
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Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization
Meng Zhang
|
Yang Liu
|
Huanbo Luan
|
Yiqun Liu
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Maosong Sun
|
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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Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM
Girishkumar Ponkiya
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Kevin Patel
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Pushpak Bhattacharyya
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Girish Palshikar
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Recognizing Humour using Word Associations and Humour Anchor Extraction
Andrew Cattle
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Xiaojuan Ma
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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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Context-Dependent Sense Embedding
Lin Qiu
|
Kewei Tu
|
Yong Yu
|
MUSE: Modularizing Unsupervised Sense Embeddings
Guang-He Lee
|
Yun-Nung Chen
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Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato
|
Claudio Delli Bovi
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Roberto Navigli
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Predicting Word Association Strengths
Andrew Cattle
|
Xiaojuan Ma
|
Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization
Edoardo Maria Ponti
|
Ivan Vulić
|
Goran Glavaš
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Nikola Mrkšić
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Anna Korhonen
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Predicting Semantic Relations using Global Graph Properties
Yuval Pinter
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Jacob Eisenstein
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Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko
|
Eugen Ruppert
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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 Disambiguation: A Unified Evaluation Framework and Empirical Comparison
Alessandro Raganato
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Jose Camacho-Collados
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Roberto Navigli
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context2vec: Learning Generic Context Embedding with Bidirectional LSTM
Oren Melamud
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Jacob Goldberger
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Ido Dagan
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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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Cognitively Motivated Distributional Representations of Meaning
Elias Iosif
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Spiros Georgiladakis
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Alexandros Potamianos
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A Framework for Cross-lingual/Node-wise Alignment of Lexical-Semantic Resources
Yoshihiko Hayashi
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Unsupervised Visual Sense Disambiguation for Verbs using Multimodal Embeddings
Spandana Gella
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Mirella Lapata
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Frank Keller
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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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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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Multimodal Frame Identification with Multilingual Evaluation
Teresa Botschen
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Iryna Gurevych
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Jan-Christoph Klie
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Hatem Mousselly-Sergieh
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Stefan Roth
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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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Learning Text Pair Similarity with Context-sensitive Autoencoders
Hadi Amiri
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Philip Resnik
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Jordan Boyd-Graber
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Hal Daumé III
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Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
|
Iryna Gurevych
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Leveraging Lexical Resources for Learning Entity Embeddings in Multi-Relational Data
Teng Long
|
Ryan Lowe
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Jackie Chi Kit Cheung
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Doina Precup
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Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar
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Jose Camacho-Collados
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Roberto Navigli
|
Nigel Collier
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Improved Word Representation Learning with Sememes
Yilin Niu
|
Ruobing Xie
|
Zhiyuan Liu
|
Maosong Sun
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Ontology-Aware Token Embeddings for Prepositional Phrase Attachment
Pradeep Dasigi
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Waleed Ammar
|
Chris Dyer
|
Eduard Hovy
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A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
Mikhail Khodak
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Nikunj Saunshi
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Yingyu Liang
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Tengyu Ma
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Brandon Stewart
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Sanjeev Arora
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Explicit Retrofitting of Distributional Word Vectors
Goran Glavaš
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Ivan Vulić
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Encoding Prior Knowledge with Eigenword Embeddings
Dominique Osborne
|
Shashi Narayan
|
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
|
Milica Gašić
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Anna Korhonen
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Steve Young
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Sense Embedding Learning for Word Sense Induction
Linfeng Song
|
Zhiguo Wang
|
Haitao Mi
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Daniel Gildea
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A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen
|
Dat Quoc Nguyen
|
Ashutosh Modi
|
Stefan Thater
|
Manfred Pinkal
|
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning
Hatem Mousselly-Sergieh
|
Teresa Botschen
|
Iryna Gurevych
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Stefan Roth
|
Multilingual Modal Sense Classification using a Convolutional Neural Network
Ana Marasović
|
Anette Frank
|
Making Sense of Word Embeddings
Maria Pelevina
|
Nikolay Arefiev
|
Chris Biemann
|
Alexander Panchenko
|
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
|
Yulia Tsvetkov
|
Pushpendre Rastogi
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Chris Dyer
|
Improved Semantic Representation for Domain-Specific Entities
Mohammad Taher Pilehvar
|
Nigel Collier
|
A Comparison of Word Embeddings for English and Cross-Lingual Chinese Word Sense Disambiguation
Hong Jin Kang
|
Tao Chen
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Muthu Kumar Chandrasekaran
|
Min-Yen Kan
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Automated WordNet Construction Using Word Embeddings
Mikhail Khodak
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Andrej Risteski
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Christiane Fellbaum
|
Sanjeev Arora
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Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations
Kentaro Kanada
|
Tetsunori Kobayashi
|
Yoshihiko Hayashi
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Using Linked Disambiguated Distributional Networks for Word Sense Disambiguation
Alexander Panchenko
|
Stefano Faralli
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Simone Paolo Ponzetto
|
Chris Biemann
|
Lexical Chains meet Word Embeddings in Document-level Statistical Machine Translation
Laura Mascarell
|
Distributional Lesk: Effective Knowledge-Based Word Sense Disambiguation
Dieke Oele
|
Gertjan van Noord
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There’s no ‘Count or Predict’ but task-based selection for distributional models
Martin Riedl
|
Chris Biemann
|
Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation
Ivan Vulić
|
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