Automatic Acquisition of Lexico-semantic Knowledge for QA
Lonneke van der Plas, Gosse Bouma · International Joint Conference on Natural Language Processing · 2005
We present an experiment for finding semantically similar words on the basis of a parsed corpus of Dutch text and show that the acquired information correlates with relations found in Dutch EuroWordNet. Next, we demonstrate how the acquired knowledge can be used to boost the performance of an open-domain question answering system for Dutch. Automatically acquired lexico-semantic information is used to improve the recall of a method for extracting function relations (such as Wim Kok is the prime minister of the Netherlands) from corpora, and to improve the precision of our QA system on general WH-questions and definition questions.