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Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space
Arvind Neelakantan
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Jeevan Shankar
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Alexandre Passos
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Andrew McCallum
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Paper Details:
Month: October
Year: 2014
Location: Doha, Qatar
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Inducing Bilingual Lexica From Non-Parallel Data With Earth Mover’s Distance Regularization
Meng Zhang
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Yang Liu
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Huanbo Luan
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Yiqun Liu
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Maosong Sun
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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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Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion
Naoki Otani
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Hirokazu Kiyomaru
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Daisuke Kawahara
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Sadao Kurohashi
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A Unified Model for Word Sense Representation and Disambiguation
Xinxiong Chen
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Zhiyuan Liu
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Maosong Sun
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Syntax-Aware Multi-Sense Word Embeddings for Deep Compositional Models of Meaning
Jianpeng Cheng
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Dimitri Kartsaklis
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Do Multi-Sense Embeddings Improve Natural Language Understanding?
Jiwei Li
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Dan Jurafsky
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Context-Dependent Sense Embedding
Lin Qiu
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Kewei Tu
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Yong Yu
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Supervised Distributional Hypernym Discovery via Domain Adaptation
Luis Espinosa-Anke
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Jose Camacho-Collados
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Claudio Delli Bovi
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Horacio Saggion
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Solving Verbal Questions in IQ Test by Knowledge-Powered Word Embedding
Huazheng Wang
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Fei Tian
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Bin Gao
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Chengjieren Zhu
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Jiang Bian
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Tie-Yan Liu
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MUSE: Modularizing Unsupervised Sense Embeddings
Guang-He Lee
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Yun-Nung Chen
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Distinguishing Japanese Non-standard Usages from Standard Ones
Tatsuya Aoki
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Ryohei Sasano
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Hiroya Takamura
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Manabu Okumura
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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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CLUSE: Cross-Lingual Unsupervised Sense Embeddings
Ta-Chung Chi
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Yun-Nung Chen
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Disambiguated skip-gram model
Karol Grzegorczyk
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Marcin Kurdziel
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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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Spot the Odd Man Out: Exploring the Associative Power of Lexical Resources
Gabriel Stanovsky
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Mark Hopkins
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Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research
Haim Dubossarsky
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Eitan Grossman
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Daphna Weinshall
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Mapping Text to Knowledge Graph Entities using Multi-Sense LSTMs
Dimitri Kartsaklis
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Mohammad Taher Pilehvar
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Nigel Collier
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Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation
Alexander Panchenko
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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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Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema
Patrick Verga
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Arvind Neelakantan
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Andrew McCallum
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Applying Multi-Sense Embeddings for German Verbs to Determine Semantic Relatedness and to Detect Non-Literal Language
Maximilian Köper
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Sabine Schulte im Walde
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Bib2vec: Embedding-based Search System for Bibliographic Information
Takuma Yoneda
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Koki Mori
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Makoto Miwa
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Yutaka Sasaki
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On Modeling Sense Relatedness in Multi-prototype Word Embedding
Yixin Cao
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Jiaxin Shi
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Juanzi Li
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Zhiyuan Liu
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Chengjiang Li
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Training Word Sense Embeddings With Lexicon-based Regularization
Luis Nieto-Piña
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Richard Johansson
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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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Multi-prototype Chinese Character Embedding
Yanan Lu
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Yue Zhang
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Donghong Ji
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Best of Both Worlds: Making Word Sense Embeddings Interpretable
Alexander Panchenko
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Cross-Lingual Generation and Evaluation of a Wide-Coverage Lexical Semantic Resource
Attila Novák
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Borbála Novák
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Joint Learning of Sense and Word Embeddings
Mohammed Alsuhaibani
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Danushka Bollegala
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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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Improving Hypernymy Extraction with Distributional Semantic Classes
Alexander Panchenko
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Dmitry Ustalov
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Stefano Faralli
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Simone P. Ponzetto
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Chris Biemann
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NASARI: a Novel Approach to a Semantically-Aware Representation of Items
José Camacho-Collados
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Mohammad Taher Pilehvar
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Roberto Navigli
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Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models
Sujay Kumar Jauhar
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Chris Dyer
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Eduard Hovy
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A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions
Bahar Salehi
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Paul Cook
|
Timothy Baldwin
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Embedding a Semantic Network in a Word Space
Richard Johansson
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Luis Nieto Piña
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K-Embeddings: Learning Conceptual Embeddings for Words using Context-Embeddings: Learning Conceptual Embeddings for Words using Context
Thuy Vu
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D. Stott Parker
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Bilingual Learning of Multi-sense Embeddings with Discrete Autoencoders
Simon Šuster
|
Ivan Titov
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Gertjan van Noord
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attr2vec: Jointly Learning Word and Contextual Attribute Embeddings with Factorization Machines
Fabio Petroni
|
Vassilis Plachouras
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Timothy Nugent
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Jochen L. Leidner
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Deep Contextualized Word Representations
Matthew Peters
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Mark Neumann
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Mohit Iyyer
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Matt Gardner
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Christopher Clark
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Kenton Lee
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Luke Zettlemoyer
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Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations
Fei Sun
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Jiafeng Guo
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Yanyan Lan
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Jun Xu
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Xueqi Cheng
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Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
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Benjamin Roth
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Andrew McCallum
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Gaussian LDA for Topic Models with Word Embeddings
Rajarshi Das
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Manzil Zaheer
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Chris Dyer
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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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Improving Distributed Representation of Word Sense via WordNet Gloss Composition and Context Clustering
Tao Chen
|
Ruifeng Xu
|
Yulan He
|
Xuan Wang
|
Pre-training of Hidden-Unit CRFs
Young-Bum Kim
|
Karl Stratos
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Ruhi Sarikaya
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Language Transfer Learning for Supervised Lexical Substitution
Gerold Hintz
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Chris Biemann
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LexSemTm: A Semantic Dataset Based on All-words Unsupervised Sense Distribution Learning
Andrew Bennett
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Timothy Baldwin
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Jey Han Lau
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Diana McCarthy
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Francis Bond
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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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On the Linearity of Semantic Change: Investigating Meaning Variation via Dynamic Graph Models
Steffen Eger
|
Alexander Mehler
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Multimodal Word Distributions
Ben Athiwaratkun
|
Andrew Wilson
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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
|
Roberto Navigli
|
Nigel Collier
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Improved Word Representation Learning with Sememes
Yilin Niu
|
Ruobing Xie
|
Zhiyuan Liu
|
Maosong Sun
|
Probabilistic FastText for Multi-Sense Word Embeddings
Ben Athiwaratkun
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Andrew Wilson
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Anima Anandkumar
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Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Sanjeev Arora
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Yuanzhi Li
|
Yingyu Liang
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Tengyu Ma
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Andrej Risteski
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Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
Xiao Pu
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Nikolaos Pappas
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James Henderson
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Andrei Popescu-Belis
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Enriching Word Sense Embeddings with Translational Context
Mehdi Ghanimifard
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Richard Johansson
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A Simple and Efficient Method to Generate Word Sense Representations
Luis Nieto Piña
|
Richard Johansson
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Sense Embedding Learning for Word Sense Induction
Linfeng Song
|
Zhiguo Wang
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Haitao Mi
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Daniel Gildea
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A Mixture Model for Learning Multi-Sense Word Embeddings
Dai Quoc Nguyen
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Dat Quoc Nguyen
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Ashutosh Modi
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Stefan Thater
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Manfred Pinkal
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Robust Handling of Polysemy via Sparse Representations
Abhijit Mahabal
|
Dan Roth
|
Sid Mittal
|
A Simple Word Embedding Model for Lexical Substitution
Oren Melamud
|
Omer Levy
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Ido Dagan
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Neural context embeddings for automatic discovery of word senses
Mikael Kågebäck
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Fredrik Johansson
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Richard Johansson
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Devdatt Dubhashi
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Morpho-syntactic Regularities in Continuous Word Representations: A multilingual study.
Garrett Nicolai
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Colin Cherry
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Grzegorz Kondrak
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Combining Relational and Distributional Knowledge for Word Sense Disambiguation
Richard Johansson
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Luis Nieto Piña
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Words are not Equal: Graded Weighting Model for Building Composite Document Vectors
Pranjal Singh
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Amitabha Mukerjee
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Incorporating Selectional Preferences in Multi-hop Relation Extraction
Rajarshi Das
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Arvind Neelakantan
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David Belanger
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Andrew McCallum
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Embedding Senses for Efficient Graph-based Word Sense Disambiguation
Luis Nieto Piña
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Richard Johansson
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Making Sense of Word Embeddings
Maria Pelevina
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Nikolay Arefiev
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Chris Biemann
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Alexander Panchenko
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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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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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Evaluating multi-sense embeddings for semantic resolution monolingually and in word translation
Gábor Borbély
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Márton Makrai
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Dávid Márk Nemeskey
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András Kornai
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Improved Semantic Representation for Domain-Specific Entities
Mohammad Taher Pilehvar
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Nigel Collier
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Vectors or Graphs? On Differences of Representations for Distributional Semantic Models
Chris Biemann
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Improving Verb Metaphor Detection by Propagating Abstractness to Words, Phrases and Individual Senses
Maximilian Köper
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Sabine Schulte im Walde
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Classifying Lexical-semantic Relationships by Exploiting Sense/Concept Representations
Kentaro Kanada
|
Tetsunori Kobayashi
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Yoshihiko Hayashi
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Supervised and unsupervised approaches to measuring usage similarity
Milton King
|
Paul Cook
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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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Supervised and Unsupervised Word Sense Disambiguation on Word Embedding Vectors of Unambigous Synonyms
Aleksander Wawer
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Agnieszka Mykowiecka
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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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Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu
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Kevin Gimpel
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Karen Livescu
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Exploring Soft-Clustering for German (Particle) Verbs across Frequency Ranges
Moritz Wittmann
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Maximilian Köper
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Sabine Schulte im Walde
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Efficient Graph-based Word Sense Induction by Distributional Inclusion Vector Embeddings
Haw-Shiuan Chang
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Amol Agrawal
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Ananya Ganesh
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Anirudha Desai
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Vinayak Mathur
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Alfred Hough
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Andrew McCallum
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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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Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings
Yuqi Sun
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Haoyue Shi
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Junfeng Hu
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Japanese all-words WSD system using the Kyoto Text Analysis ToolKit
Hiroyuki Shinnou
|
Kanako Komiya
|
Minoru Sasaki
|
Shinsuke Mori
|
https://people.cs.umass.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Chunking
Named Entity Recognition
Information Retrieval
Sentiment Analysis
Language
English
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