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*SEMEVAL - 2004
Total Papers:- 65
Total Papers accross all years:- 1898
Total Citations :- 489
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Senseval-3 task: Automatic labeling of semantic roles
Ken Litkowski |
The English all-words task
Benjamin Snyder |
Martha Palmer |
The Senseval-3 English lexical sample task
Rada Mihalcea |
Timothy Chklovski |
Adam Kilgarriff |
GAMBL, genetic algorithm optimization of memory-based WSD
Bart Decadt |
Véronique Hoste |
Walter Daelemans |
Antal van den Bosch |
SenseLearner: Minimally supervised Word Sense Disambiguation for all words in open text
Rada Mihalcea |
Ehsanul Faruque |
Pattern abstraction and term similarity for Word Sense Disambiguation: IRST at Senseval-3
Carlo Strapparava |
Alfio Gliozzo |
Claudio Giuliano |
Semantic role labelling with similarity-based generalization using EM-based clustering
Ulrike Baldewein |
Katrin Erk |
Sebastian Padó |
Detlef Prescher |
Using automatically acquired predominant senses for Word Sense Disambiguation
Diana McCarthy |
Rob Koeling |
Julie Weeds |
John Carroll |
Supervised Word Sense Disambiguation with Support Vector Machines and multiple knowledge sources
Yoong Keok Lee |
Hwee Tou Ng |
Tee Kiah Chia |
Some experiments with a Naive Bayes WSD system
Deniz Yuret |
The Basque Country University system: English and Basque tasks
Eneko Agirre |
David Martínez |
Augmenting ensemble classification for Word Sense Disambiguation with a kernel PCA model
Marine Carpuat |
Weifeng Su |
Dekai Wu |
Senseval-3 task: Word Sense Disambiguation of WordNet glosses
Ken Litkowski |
The Senseval-3 Multilingual English-Hindi lexical sample task
Timothy Chklovski |
Rada Mihalcea |
Ted Pedersen |
Amruta Purandare |
Finding optimal parameter settings for high performance word sense disambiguation
Cristian Grozea |
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Topics
Linguistic Trends
Discourse
Lexical Semantics
Ontologies
Syntax
Morphology
Task
Morphological Analysis
Tagging
Chunking
Semantic Parsing
Word Sense Disambiguation
Named Entity Recognition
Semantic Similarity
Information Extraction
Information Retrieval
Question Answering
Knowledge Acquisition
Language Generation
Summarization
Machine Translation
Text Categorization
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Kernel Method
Generative Model
Graphical Model
Semi-supervised Learning
Unsupervised Learning
Language
Multilingual
Chinese
English
Hindi
Japanese
Spanish
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