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SIGIR
2008
ACM
13 years 11 months ago
Ambiguous queries: test collections need more sense
Although there are many papers examining ambiguity in Information Retrieval, this paper shows that there is a whole class of ambiguous word that past research has barely explored....
Mark Sanderson
BMCBI
2006
151views more  BMCBI 2006»
13 years 11 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
BMCBI
2010
186views more  BMCBI 2010»
13 years 11 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson
EACL
2006
ACL Anthology
14 years 25 days ago
Selecting the "Right" Number of Senses Based on Clustering Criterion Functions
This paper describes an unsupervised knowledge
Ted Pedersen, Anagha Kulkarni
LREC
2010
164views Education» more  LREC 2010»
14 years 27 days ago
Study of Word Sense Disambiguation System that uses Contextual Features - Approach of Combining Associative Concept Dictionary a
We propose a Word Sense Disambiguation (WSD) method that accurately classifies ambiguous words to concepts in the Associative Concept Dictionary (ACD) even when the test corpus an...
Kyota Tsutsumida, Jun Okamoto, Shun Ishizaki, Mako...
LREC
2010
153views Education» more  LREC 2010»
14 years 27 days ago
Homographic Ideogram Understanding Using Contextual Dynamic Network
Conventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate w...
Jun Okamoto, Shun Ishizaki
NLDB
2007
Springer
14 years 5 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher
WWW
2008
ACM
15 years 3 days 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