2005 ImprovingNameTagByRRandRD
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- (Ji & Grishman, 2005) ⇒ Heng Ji, Ralph Grishman. (2005). “Improving Name Tagging by Reference Resolution and Relation Detection.” In: Proceedings of ACL-2005.
Subject Headings: Nominal Mention Tagger.
Notes
- Introduce the terms Nominal Mention Tagger (Noun Group Recognizer).
- Later in (Ji & Grishman, 2006) they also use the term Noun Phrase Chunker.
Cited By
~24 http://scholar.google.com/scholar?cites=18427887840185219042
Quotes
Abstract
- Information extraction systems incorporate multiple stages of linguistic analysis. Although errors are typically compounded from stage to stage, it is possible to reduce the errors in one stage by harnessing the results of the other stages. We demonstrate this by using the results of coreference analysis and relation extraction to reduce the errors produced by a Chinese name tagger. We use an N-best approach to generate multiple hypotheses and have them re-ranked by subsequent stages of processing. We obtained thereby a reduction of 24% in spurious and incorrect name tags, and a reduction of 14% in missed tags.
4.2 Nominal Mention Tagger
- Our nominal mention tagger (noun group recognizer) is a maximum entropy tagger trained on the Chinese TreeBank from the University of Pennsylvania, supplemented by list matching.
References
,
| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2005 ImprovingNameTagByRRandRD | Heng Ji Ralph Grishman | Improving Name Tagging by Reference Resolution and Relation Detection | http://delivery.acm.org/10.1145/1220000/1219891/p411-ji.pdf?key1=1219891&key2=5188537921&coll=DL&dl=ACM&CFID=9508923&CFTOKEN=95370785 |