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SemEval

Known as: Senseval, Word Sense Induction and Disambiguation task, Multilingual and Crosslingual WSD 
SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems; it evolved from the Senseval word sense… 
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Related topics

Related topics

26 relations
Automatic summarizationBabelNetClassic monolingual word-sense disambiguationComputational semantics

Broader (2)

Computational linguisticsNatural language processing

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2017
2017
Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing
We propose a novel discriminative ranking model that learns embeddings from multilingual and multi-modal data, meaning that our… 
2015
2015
DIEGOLab: An Approach for Message-level Sentiment Classification in Twitter
We present our supervised sentiment classification system which competed in SemEval2015 Task 10B: Sentiment Classification in… 
2011
2011
A Data-Driven Affective Analysis Framework Toward Naturally Expressive Speech Synthesis
An essential step in the generation of expressive speech synthesis is the automatic detection and classification of emotions most… 
2009
2009
Multilingual versus monolingual word sense disambiguation
This article describes two different word sense disambiguation (WSD) systems, one applicable to parallel corpora and requiring… 
2004
2004
MiniCors and Cast3LB: Two Semantically Tagged Spanish Corpora
In this paper we present two Spanish corpora, MiniCors and Cast3LB , semantically tagged according to different annotation… 
2004
2004
Assigning Domains to Speech Recognition Hypotheses
We present the results of experiments aimed at assigning domains to speech recognition hypotheses (SRH). The meth-ods rely on… 
2002
2002
SENSEVAL: The evaluation of word sense disambiguation systems
Word sense disambiguation (WSD) is the problem of deciding which sense a word has in any given context. The problem of doing WSD… 
Review
2000
Review
2000
Peeling an Onion: The Lexicographer's Experience ofManual Sense-Tagging
SENSEVAL set itself the task of evaluating automaticword sense disambiguation programs (see Kilgarriff andRosenzweig, this volume… 
Highly Cited
2000
Highly Cited
2000
Memory-Based Word Sense Disambiguation
We describe a memory-based classification architecture for word sense disambiguation and its application to the SENSEVAL… 
2000
2000
Word Sense Disambiguation with a Similarity-Smoothed Case Library
L'A. presente un algorithme de desambiguisation du sens des mots ou la bibliotheque consiste en contextes restreints d'exemples d… 
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