Surface language models for discovering temporally anchored definitions on the web: Producing chronologies as answers to definition questions
|Surface language models for discovering temporally anchored definitions on the web: Producing chronologies as answers to definition questions|
|Published in||WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology|
|Keyword(s)||Definition questions, N-gram language models, Temporally anchored definitions, Web question answering (Extra: Data-driven, Definition questions, Language model, N-gram language models, Question Answering, Question answering systems, Surface feature, Temporally anchored definitions, Wikipedia, Computational linguistics, Information systems, World Wide Web, Natural language processing systems)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Surface language models for discovering temporally anchored definitions on the web: Producing chronologies as answers to definition questions is a 2010 conference paper written in English by Figueroa A. and published in WEBIST 2010 - Proceedings of the 6th International Conference on Web Information Systems and Technology.
This work presents a data-driven definition question answering (QA) system that outputs a set of temporally anchored definitions as answers. This system builds surface language models on top of a corpus automatically acquired from Wikipedia abstracts, and ranks answer candidates in agreement with these models afterwards. Additionally, this study deals at greater length with the impact of several surface features in the ranking of temporally anchored answers.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.