Discovery of Frequent Word Sequences in Text
Proceedings of the ESF Exploratory Workshop on Pattern Detection and Discovery
Unsupervised learning of soft patterns for generating definitions from online news
Proceedings of the 13th international conference on World Wide Web
Learning surface text patterns for a Question Answering system
ACL '02 Proceedings of the 40th Annual Meeting on Association for Computational Linguistics
Offline strategies for online question answering: answering questions before they are asked
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Towards terascale knowledge acquisition
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Overview of the CLEF 2005 multilingual question answering track
CLEF'05 Proceedings of the 6th international conference on Cross-Language Evalution Forum: accessing Multilingual Information Repositories
A new algorithm for fast discovery of maximal sequential patterns in a document collection
CICLing'06 Proceedings of the 7th international conference on Computational Linguistics and Intelligent Text Processing
A Multilingual Framework for Searching Definitions on Web Snippets
KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
Informative sentence retrieval for domain specific terminologies
IEA/AIE'11 Proceedings of the 24th international conference on Industrial engineering and other applications of applied intelligent systems conference on Modern approaches in applied intelligence - Volume Part I
On the improvement of passage retrieval in Arabic question/answering (Q/A) systems
NLDB'11 Proceedings of the 16th international conference on Natural language processing and information systems
Keyword extraction based on sequential pattern mining
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
Answers, not links: extracting tips from yahoo! answers to address how-to web queries
Proceedings of the fifth ACM international conference on Web search and data mining
Using machine learning and text mining in question answering
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
Applying dependency trees and term density for answer selection reinforcement
CLEF'06 Proceedings of the 7th international conference on Cross-Language Evaluation Forum: evaluation of multilingual and multi-modal information retrieval
On the evaluation and improvement of Arabic WordNet coverage and usability
Language Resources and Evaluation
Knowledge discovery in inspection reports of marine structures
Expert Systems with Applications: An International Journal
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This paper describes a method for definition question answering based on the use of surface text patterns. The method is specially suited to answer questions about person’s positions and acronym’s descriptions. It considers two main steps. First, it applies a sequence-mining algorithm to discover a set of definition-related text patterns from the Web. Then, using these patterns, it extracts a collection of concept-description pairs from a target document database, and applies the sequence-mining algorithm to determine the most adequate answer to a given question. Experimental results on the Spanish CLEF 2005 data set indicate that this method can be a practical solution for answering this kind of definition questions, reaching a precision as high as 84%.