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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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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
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Shashwath Hosur Ananthakrishna
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Anna Rumshisky
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Evaluation methods for unsupervised word embeddings
Tobias Schnabel
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Igor Labutov
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David Mimno
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Thorsten Joachims
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Morphological Priors for Probabilistic Neural Word Embeddings
Parminder Bhatia
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Robert Guthrie
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Jacob Eisenstein
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LAMB: A Good Shepherd of Morphologically Rich Languages
Sebastian Ebert
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Thomas Müller
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Hinrich Schütze
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Exploiting Morphological Regularities in Distributional Word Representations
Arihant Gupta
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Syed Sarfaraz Akhtar
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Avijit Vajpayee
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Arjit Srivastava
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Madan Gopal Jhanwar
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Manish Shrivastava
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Multi-lingual Common Semantic Space Construction via Cluster-consistent Word Embedding
Lifu Huang
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Kyunghyun Cho
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Boliang Zhang
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Heng Ji
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Kevin Knight
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Dynamic Meta-Embeddings for Improved Sentence Representations
Douwe Kiela
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Changhan Wang
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Kyunghyun Cho
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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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Cross-Lingual Syntactically Informed Distributed Word Representations
Ivan Vulić
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Redefining part-of-speech classes with distributional semantic models
Andrey Kutuzov
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Erik Velldal
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Lilja Øvrelid
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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
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Ivan Titov
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Gertjan van Noord
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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning
Yulia Tsvetkov
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Sunayana Sitaram
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Manaal Faruqui
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Guillaume Lample
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Patrick Littell
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David Mortensen
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Alan W Black
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Lori Levin
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Chris Dyer
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Intrinsic Subspace Evaluation of Word Embedding Representations
Yadollah Yaghoobzadeh
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Hinrich Schütze
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Investigating Language Universal and Specific Properties in Word Embeddings
Peng Qian
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Xipeng Qiu
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Xuanjing Huang
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Cross-lingual Models of Word Embeddings: An Empirical Comparison
Shyam Upadhyay
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Manaal Faruqui
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Chris Dyer
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Dan Roth
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Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization
Lucie Flekova
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Iryna Gurevych
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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
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Nigel Collier
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Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz
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Sam Thomson
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Noah A. Smith
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Incorporating Latent Meanings of Morphological Compositions to Enhance Word Embeddings
Yang Xu
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Jiawei Liu
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Wei Yang
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Liusheng Huang
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Batch IS NOT Heavy: Learning Word Representations From All Samples
Xin Xin
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Fajie Yuan
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Xiangnan He
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Joemon M. Jose
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Random Positive-Only Projections: PPMI-Enabled Incremental Semantic Space Construction
Behrang QasemiZadeh
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Laura Kallmeyer
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Frame-Based Continuous Lexical Semantics through Exponential Family Tensor Factorization and Semantic Proto-Roles
Francis Ferraro
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Adam Poliak
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Ryan Cotterell
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Benjamin Van Durme
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A Corpus of Preposition Supersenses
Nathan Schneider
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Jena D. Hwang
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Vivek Srikumar
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Meredith Green
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Abhijit Suresh
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Kathryn Conger
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Tim O’Gorman
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Martha Palmer
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Story Cloze Evaluator: Vector Space Representation Evaluation by Predicting What Happens Next
Nasrin Mostafazadeh
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Lucy Vanderwende
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Wen-tau Yih
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Pushmeet Kohli
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James Allen
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Problems With Evaluation of Word Embeddings Using Word Similarity Tasks
Manaal Faruqui
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Yulia Tsvetkov
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Pushpendre Rastogi
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Chris Dyer
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Intrinsic Evaluations of Word Embeddings: What Can We Do Better?
Anna Gladkova
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Aleksandr Drozd
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Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados
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Roberto Navigli
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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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Evaluating word embeddings with fMRI and eye-tracking
Anders Søgaard
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Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks
Jeremy Auguste
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Arnaud Rey
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Benoit Favre
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Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle
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Aline Villavicencio
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Firearms and Tigers are Dangerous, Kitchen Knives and Zebras are Not: Testing whether Word Embeddings Can Tell
Pia Sommerauer
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Antske Fokkens
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https://github.com/ytsvetko/qvec
https://code.google.com/p/word2vec
https://github.com/wlin12/wang2vec
http://www-nlp.stanford.edu/projects/
https://github.com/mfaruqui/
http://qwone.com/~jason/20Newsgroups
https://github.com/ytsvetko/metaphor
Field Of Study
Linguistic Trends
Distributional Semantics
Embeddings
Syntax
Task
Word Sense Disambiguation
Named Entity Recognition
Sentiment Analysis
Language
Multilingual
English
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