论文信息 - Data-Intensive Question Answering - 字舞流文

Data-Intensive Question Answering

Utilisation de la redondance des reponses elles-memes pour ameliorer le resultat final de la recherche d'information- redondance due a la tres grande quantite d'informations disponibles actuellement

Jimmy J. Lin | Susan T. Dumais | Michele Banko | Eric Brill | Andrew Y. Ng | S. Dumais | E. Brill | Michele Banko | Andrew Y. Ng | Eric Brill

[1] Stephen E. Robertson,et al. Okapi at TREC-3 , 1994, TREC.

[2] Karen Jensen,et al. Natural Language Processing: The PLNLP Approach , 2013, Natural Language Processing.

[3] Stephen E. Robertson,et al. GatfordCentre for Interactive Systems ResearchDepartment of Information , 1996 .

[4] Michael Collins,et al. Answer Extraction , 2000, ANLP.

[5] Oren Etzioni,et al. Scaling question answering to the Web , 2001, WWW '01.

[6] Charles L. A. Clarke,et al. Exploiting redundancy in question answering , 2001, SIGIR '01.

[7] Dragomir R. Radev,et al. Mining the web for answers to natural language questions , 2001, CIKM '01.

[8] Luis Gravano,et al. Learning search engine specific query transformations for question answering , 2001, WWW '01.

[9] Michele Banko,et al. Scaling to Very Very Large Corpora for Natural Language Disambiguation , 2001, ACL.

[10] Martin M. Soubbotin. Patterns of Potential Answer Expressions as Clues to the Right Answers , 2001, TREC.

[11] Steve Renals,et al. Proceedings of the Ninth Text REtrieval Conference , 2001 .

[12] Sabine Buchholz,et al. Using Grammatical Relations, Answer Frequencies and the World Wide Web for TREC Question Answering , 2001, TREC.

[13] Oren Etzioni,et al. Scaling question answering to the Web , 2001, WWW '01.

[14] Stephen E. Robertson,et al. Microsoft Cambridge at TREC-10: Filtering and Web Tracks , 2001, TREC.