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» A Maximum Entropy-based Word Sense Disambiguation System
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106
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IIR
2010
15 years 1 months ago
Semantic Vectors: an Information Retrieval Scenario
In this paper we exploit Semantic Vectors to develop an IR system. The idea is to use semantic spaces built on terms and documents to overcome the problem of word ambiguity. Word ...
Pierpaolo Basile, Annalina Caputo, Giovanni Semera...
101
Voted
COLING
2008
15 years 1 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
123
Voted
CLIN
2004
15 years 1 months ago
Automatic Summarization of Meeting Data: A Feasibility Study
The disclosure of audio-visual meeting recordings is a new challenging domain studied by several large scale research projects in Europe and the US. Automatic meeting summarizatio...
Anne Hendrik Buist, Wessel Kraaij, Stephan Raaijma...
75
Voted
WWW
2008
ACM
16 years 1 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang
80
Voted
WWW
2009
ACM
16 years 1 months ago
SOFIE: a self-organizing framework for information extraction
This paper presents SOFIE, a system for automated ontology extension. SOFIE can parse natural language documents, extract ontological facts from them and link the facts into an on...
Fabian M. Suchanek, Mauro Sozio, Gerhard Weikum