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SemEval-2010 Task 14: Word Sense Induction &Disambiguation
Suresh Manandhar
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Ioannis Klapaftis
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Dmitriy Dligach
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Sameer Pradhan
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
*SEMEVAL |
Citations
URL
Inducing Word Sense with Automatically Learned Hidden Concepts
Baobao Chang
|
Wenzhe Pei
|
Miaohong Chen
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Unsupervised Word Sense Induction using Distributional Statistics
Kartik Goyal
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Eduard Hovy
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Word Sense Induction Using Lexical Chain based Hypergraph Model
Tao Qian
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Donghong Ji
|
Mingyao Zhang
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Chong Teng
|
Congling Xia
|
Word Sense Induction & Disambiguation Using Hierarchical Random Graphs
Ioannis Klapaftis
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Suresh Manandhar
|
Naive Bayes Word Sense Induction
Do Kook Choe
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Eugene Charniak
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Prior Disambiguation of Word Tensors for Constructing Sentence Vectors
Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Word Sense Induction for Novel Sense Detection
Jey Han Lau
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Paul Cook
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Diana McCarthy
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David Newman
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Timothy Baldwin
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Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Antonio Di Marco
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Roberto Navigli
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Semantic Clustering of Pivot Paraphrases
Marianna Apidianaki
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Emilia Verzeni
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Diana McCarthy
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Cro36WSD: A Lexical Sample for Croatian Word Sense Disambiguation
Domagoj Alagić
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Jan Å najder
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An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages
Dmitry Ustalov
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Denis Teslenko
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Alexander Panchenko
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Mikhail Chernoskutov
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Chris Biemann
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Simone Paolo Ponzetto
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Clustering Paraphrases by Word Sense
Anne Cocos
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Chris Callison-Burch
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Which Noun Phrases Denote Which Concepts?
Jayant Krishnamurthy
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Tom Mitchell
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Latent Semantic Word Sense Induction and Disambiguation
Tim Van de Cruys
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Marianna Apidianaki
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Improving Word Representations via Global Context and Multiple Word Prototypes
Eric Huang
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Richard Socher
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Christopher Manning
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Andrew Ng
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Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models
Jey Han Lau
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Paul Cook
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Diana McCarthy
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Spandana Gella
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Timothy Baldwin
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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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Entity Linking meets Word Sense Disambiguation: a Unified Approach
Andrea Moro
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Alessandro Raganato
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Roberto Navigli
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Linear Algebraic Structure of Word Senses, with Applications to Polysemy
Sanjeev Arora
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Yuanzhi Li
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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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An Evaluation of Graded Sense Disambiguation using Word Sense Induction
David Jurgens
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Unsupervised Word Usage Similarity in Social Media Texts
Spandana Gella
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Paul Cook
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Bo Han
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SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli
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Daniele Vannella
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Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen
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unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau
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Paul Cook
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Timothy Baldwin
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SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens
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Ioannis Klapaftis
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UoS: A Graph-Based System for Graded Word Sense Induction
David Hope
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Bill Keller
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SemEval-2015 Task 13: Multilingual All-Words Sense Disambiguation and Entity Linking
Andrea Moro
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Roberto Navigli
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SemEval-2016 Task 14: Semantic Taxonomy Enrichment
David Jurgens
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Mohammad Taher Pilehvar
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Word Sense Induction by Community Detection
David Jurgens
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Measuring the Impact of Sense Similarity on Word Sense Induction
David Jurgens
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Keith Stevens
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Unsupervised Induction of Frame-Semantic Representations
Ashutosh Modi
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Ivan Titov
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Alexandre Klementiev
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Evaluating Unsupervised Ensembles when applied to Word Sense Induction
Keith Stevens
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Separating Disambiguation from Composition in Distributional Semantics
Dimitri Kartsaklis
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Mehrnoosh Sadrzadeh
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Stephen Pulman
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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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