Paper Info
Title
Automatic Acquisition of Lexico-semantic Knowledge for QA
Abstract
We present an experiment for finding semantically similar words on the ba- sis of a parsed corpus of Dutch text and show that the acquired informa- tion correlates with relations found in Dutch EuroWordNet. Next, we demon- strate how the acquired knowledge can be used to boost the performance of an open-domain question answering sys- tem for Dutch. Automatically acquired lexico-semantic information is used to improve the recall of a method for ex- tracting function relations (such as Wim Kok is the prime minister of the Nether- lands) from corpora, and to improve the precision of our QA system on general WH-questions and definition questions.
Year
Venue
Keywords
2005
OntoLex@IJCNLP
semantic similarity,question answering
Field
DocType
Citations 
Semantic similarity,Semantic integration,Question answering,Information retrieval,Computer science,Explicit semantic analysis,Semantic interoperability,Lexico,Natural language processing,Artificial intelligence,EuroWordNet,Semantic computing
Conference
2
PageRank 
References 
Authors
0.49
10
2
Name
Order
Citations
PageRank
Lonneke Van Der Plas119217.18
Gosse Bouma248370.88