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Unsupervised Acquisition of Predominant Word Senses
Diana McCarthy
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Rob Koeling
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Julie Weeds
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John Carroll
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Paper Details:
Year: 2007
Venue:
CL |
Citations
URL
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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A New Minimally-Supervised Framework for Domain Word Sense Disambiguation
Stefano Faralli
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Roberto Navigli
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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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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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Random Walks for Knowledge-Based Word Sense Disambiguation
Eneko Agirre
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Oier López de Lacalle
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Aitor Soroa
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Unsupervised Most Frequent Sense Detection using Word Embeddings
Sudha Bhingardive
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Dhirendra Singh
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Rudramurthy V
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Hanumant Redkar
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Pushpak Bhattacharyya
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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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All Words Domain Adapted WSD: Finding a Middle Ground between Supervision and Unsupervision
Mitesh Khapra
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Anup Kulkarni
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Saurabh Sohoney
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Pushpak Bhattacharyya
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Using subcategorization knowledge to improve case prediction for translation to German
Marion Weller
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Alexander Fraser
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Sabine Schulte im Walde
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Density Maximization in Context-Sense Metric Space for All-words WSD
Koichi Tanigaki
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Mitsuteru Shiba
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Tatsuji Munaka
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Yoshinori Sagisaka
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SenseSpotting: Never let your parallel data tie you to an old domain
Marine Carpuat
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Hal Daumé III
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Katharine Henry
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Ann Irvine
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Jagadeesh Jagarlamudi
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Rachel Rudinger
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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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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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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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SemEval-2010 Task 17: All-Words Word Sense Disambiguation on a Specific Domain
Eneko Agirre
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Oier Lopez de Lacalle
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Christiane Fellbaum
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Shu-Kai Hsieh
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Maurizio Tesconi
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Monica Monachini
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Piek Vossen
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Roxanne Segers
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IIITH: Domain Specific Word Sense Disambiguation
Siva Reddy
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Abhilash Inumella
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Diana McCarthy
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Mark Stevenson
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HIT-CIR: An Unsupervised WSD System Based on Domain Most Frequent Sense Estimation
Yuhang Guo
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Wanxiang Che
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Wei He
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Ting Liu
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Sheng Li
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Kyoto: An Integrated System for Specific Domain WSD
Aitor Soroa
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Eneko Agirre
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Oier Lopez de Lacalle
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Wauter Bosma
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Piek Vossen
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Monica Monachini
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Jessie Lo
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Shu-Kai Hsieh
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CFILT: Resource Conscious Approaches for All-Words Domain Specific WSD
Anup Kulkarni
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Mitesh Khapra
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Saurabh Sohoney
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Pushpak Bhattacharyya
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WSD-games: a Game-Theoretic Algorithm for Unsupervised Word Sense Disambiguation
Rocco Tripodi
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Marcello Pelillo
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UFRGS&LIF at SemEval-2016 Task 10: Rule-Based MWE Identification and Predominant-Supersense Tagging
Silvio Cordeiro
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Carlos Ramisch
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Aline Villavicencio
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Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?
Erik Tjong Kim Sang
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Katja Hofmann
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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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Determining the most frequent senses using Russian linguistic ontology RuThes
Natalia Loukachevitch
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Ilia Chetviorkin
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A Word Embedding Approach to Identifying Verb-Noun Idiomatic Combinations
Waseem Gharbieh
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Virendra Bhavsar
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Paul Cook
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http://wordnet.princeton.edu/man/grind.1WN.htm
http://www.isi.edu/~pantel/Content/Demos/LexSem/cbc.htm
http://www.cs.ualberta.ca/~lindek/
http://www.lsi.upc.es/~nlp/tools/mapping.html
http://www.sle.sharp
http://www.itri.bton.ac.uk/events/
http://www.cs.ualberta.ca/~lindek/
http://search.cpan.org/~sid/
Field Of Study
Linguistic Trends
Discourse
Task
Tagging
Word Sense Disambiguation
Semantic Similarity
Biomedical
Language
Multilingual
English
Dataset
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