论文信息 - Progress in Information Extraction

Progress in Information Extraction

This paper provides a quick summary of the following topics: enhancements to the PLUM information extraction engine, what we learned from MUC-6 (the Sixth Message Understanding Conference), the results of an experiment on merging templates from two different information extraction engines, a learning technique for named entity recognition, and towards information extraction from speech.

[1] A. Asadi,et al. Automatic detection and modeling of new words in a large-vocabulary continuous speech recognition system , 1992 .

[2] Scott Miller,et al. Example-Based Correction of Word Segmentation and Part of Speech Labelling , 1993, HLT.

[3] Tsutomu Sakai,et al. BBN’s PLUM Probabilistic Language Understanding System , 1993, TIPSTER.

[4] David M. Magerman. Statistical Decision-Tree Models for Parsing , 1995, ACL.

[5] Richard M. Schwartz,et al. Coping with Ambiguity and Unknown Words through Probabilistic Models , 1993, CL.

[6] Ralph M. Weischedel,et al. Partial Parsing: A Report on Work in Progress , 1991, HLT.

[7] Herbert Gish,et al. BBN: Description of the PLUM System as Used for MUC-5 , 2005, MUC.

[8] Ralph Grishman,et al. Computational Aspects of Discourse in the Context of MUC-3 , 1991, MUC.

[9] Tomoyoshi Matsukawa,et al. Hypothesizing Word Association From Untagged Text , 1993, HLT.