2009 JointParsingandNamedEntityRecog
- (Finkel et al., 2009) ⇒ Jenny Rose Finkel, and Christopher D. Manning. (2009). “Joint Parsing and Named Entity Recognition.” In: Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics.
Subject Headings:
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Cited By
- http://scholar.google.com/scholar?q=%22Joint+parsing+and+named+entity+recognition%22+2009
- http://dl.acm.org/citation.cfm?id=1620754.1620802&preflayout=flat#citedby
Quotes
Abstract
For many language technology applications, such as question answering, the overall system runs several independent processors over the data (such as a named entity recognizer, a coreference system, and a parser). This easily results in inconsistent annotations, which are harmful to the performance of the aggregate system. We begin to address this problem with a joint model of parsing and named entity recognition, based on a discriminative feature-based constituency parser. Our model produces a consistent output, where the named entity spans do not conflict with the phrasal spans of the parse tree. The joint representation also allows the information from each type of annotation to improve performance on the other, and, in experiments with the OntoNotes corpus, we found improvements of up to 1.36% absolute F1 for parsing, and up to 9.0% F1 for named entity recognition.
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2009 JointParsingandNamedEntityRecog | Jenny Rose Finkel Christopher D. Manning | Joint Parsing and Named Entity Recognition | 2009 |