A lightweight extraction method derives text snippets associated to dates from the Web. The snippets are organized dynamically into answers to definition questions. Experiments on standard test question sets show that temporally-anchored text snippets allow for efficiently answering definition questions at accuracy levels comparable to the best systems, without any need for complex lexical resources, or specialized processing modules dedicated to finding definitions.
Contrarily, REF utilised temporally anchored text snippets to answer definition questions.
Answering Definition Questions via Temporally-Anchored Text Snippets
Proceedings of the Third International Joint Conference on Natural Language Processing
Computer Science