Location of Repository

Implicit References to Citations: A study of astronomy papers

By Dr. Yunhyong Kim and Prof. Bonnie Webber

Abstract

The research in this paper presents results in the automatic classification of pronouns within articles into those which refer to cited research and those which do not. It also discusses the automatic linking of pronouns which do refer to citations to their corresponding citations. The current study focussed on the pronoun {\it they} as used in papers in Astronomy journals. The paper describes a classifier trained on maximum entropy principles using features defined by the distance to preceding citations and the category of verbs associated to the pronoun under consideration.

Topics: M Resource Discovery, ED Contextual Information
Year: 2006
OAI identifier: oai:eprints.erpanet.org:127

Suggested articles

Preview

Citations

  1. (2002). A Comparison of Algorithms for Maximum Entropy Parameter Estimation", doi
  2. (1996). A maximum entropy approach to natural language processing",
  3. (2000). A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method", doi
  4. (1998). A Statistical Approach to Anaphora Resolution",
  5. (2006). Automatic Detection of Nonreferential it in Spoken Multi-party Dialog",
  6. (2000). Automatic Extraction of Reference Linking Information from Online Documents",
  7. (2004). Citances: Citation Sentences for Semantic Analysis of Bioscience Text",
  8. (1997). Citation Linking: Improving access to online journals", doi
  9. (1997). Factors in Anaphora Resolution: they are not the only things that matter. a case study based on two dierent aproaches", doi
  10. (2005). Identifying non-referential it: A machine learning approach incorporating linguistically motivated patterns", doi
  11. (2002). Improving Machine Learning Approaches to Coreference Resolution", doi
  12. (2003). Investigating GIS and Smoothing for Maximum Entropy Taggers", Proceedings, Aunnual Meeting, doi
  13. (2003). Language independent NER using a maximum entropy tagger", doi
  14. (2004). Maximum Entropy Toolkit for Python and C++,http://www.nlplab.cn/zhangle/maxent toolkit.htm
  15. (2002). Summarising Scienti Articles - Experiments with Relevance and Rhetorical Status", doi
  16. Treebank Tag Set,
  17. WordNet: An Electronic Lexical Database, doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.