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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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Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
Word Sense Induction Using Lexical Chain based Hypergraph Model
Tao Qian
|
Donghong Ji
|
Mingyao Zhang
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Chong Teng
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Congling Xia
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Novel Word-sense Identification
Paul Cook
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Jey Han Lau
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Diana McCarthy
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Timothy Baldwin
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Navigating the Semantic Horizon using Relative Neighborhood Graphs
Amaru Cuba Gyllensten
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Magnus Sahlgren
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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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Disambiguated skip-gram model
Karol Grzegorczyk
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Marcin Kurdziel
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Word Sense Induction with Neural biLM and Symmetric Patterns
Asaf Amrami
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Yoav Goldberg
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One Sense per Tweeter ... and Other Lexical Semantic Tales of Twitter
Spandana Gella
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Paul Cook
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Timothy Baldwin
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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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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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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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One Million Sense-Tagged Instances for Word Sense Disambiguation and Induction
Kaveh Taghipour
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Hwee Tou Ng
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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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An analysis of ambiguity in word sense annotations
David Jurgens
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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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Automatic disambiguation of English puns
Tristan Miller
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Iryna Gurevych
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Automatic Semantic Classification of German Preposition Types: Comparing Hard and Soft Clustering Approaches across Features
Maximilian Köper
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Sabine Schulte im Walde
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A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment
Jing Wang
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Mohit Bansal
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Kevin Gimpel
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Brian D. Ziebart
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Clement T. Yu
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A Simple and Efficient Method to Generate Word Sense Representations
Luis Nieto Piña
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Richard Johansson
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SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli
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David Jurgens
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Daniele Vannella
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SemEval-2016 Task 14: Semantic Taxonomy Enrichment
David Jurgens
|
Mohammad Taher Pilehvar
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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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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 Pseudowords for Algorithm Comparison: An Evaluation Framework for Graph-based Word Sense Induction
Flavio Massimiliano Cecchini
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Chris Biemann
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Martin Riedl
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Supervised and unsupervised approaches to measuring usage similarity
Milton King
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Paul Cook
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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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http://www.cs.york.ac.uk/semeval-2013/task13/
Field Of Study
Task
Word Sense Disambiguation
Language
Multilingual
English
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