Accession Number:

AD1042311

Title:

Corpus and Method for Identifying Citations in Non-Academic Text (Open Access, Publisher's Version)

Descriptive Note:

Conference Paper

Corporate Author:

New York University New York United States

Personal Author(s):

• He, Yifan
• Meyers,Adam

Report Date:

2014-05-31

Pagination or Media Count:

4.0

Abstract:

We attempt to identify citations in non-academic text such as patents. Unlike academic articles which often provide bibliographies and follow consistent citation styles, non-academic text cites scientific research in a more ad-hoc manner. We manually annotate citations in 50 patents, train a CRF classifier to find new citations, and apply a reranker to incorporate non local information. Our best system achieves 0.83 F-score on 5-fold cross validation.

Descriptors:

• natural languages
• patents
• information retrieval
• identification
• extraction

Subject Categories:

• Linguistics
• Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE