Implicit reference to citations: a study of astronomy

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 focused on the pronoun 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.

[1]  Claire Gardent,et al.  Improving Machine Learning Approaches to Coreference Resolution , 2002, ACL.

[2]  Donna Bergmark.  Automatic Extraction of Reference Linking Information from Online Documents , 2000 .

[3]  Marc Moens,et al.  Articles Summarizing Scientific Articles: Experiments with Relevance and Rhetorical Status , 2002, CL.

[4]  Christoph Müller,et al.  Automatic Detection of Nonreferential It in Spoken Multi-Party Dialog , 2006, EACL.

[5]  Richard Evans,et al.  A New, Fully Automatic Version of Mitkov's Knowledge-Poor Pronoun Resolution Method , 2002, CICLing.

[6]  James R. Curran,et al.  Language Independent NER using a Maximum Entropy Tagger , 2003, CoNLL.

[7]  Adam L. Berger,et al.  A Maximum Entropy Approach to Natural Language Processing , 1996, CL.

[8]  Marti A. Hearst,et al.  Citances: Citation Sentences for Semantic Analysis of Bioscience Text , 2004 .

[9]  Rob Malouf,et al.  A Comparison of Algorithms for Maximum Entropy Parameter Estimation , 2002, CoNLL.

[10]  Ruslan Mitkov.  Factors in anaphora resolution: they are not the only things that matter. A case study based on two different approaches , 1997 .

[11]  Whitney Gegg-Harrison,et al.  Identifying Non-Referential it: A Machine Learning Approach Incorporating Linguistically Motivated Patterns , 2005, ACL 2005.

[12]  Les Carr,et al.  Citation linking: improving access to online journals , 1997, DL '97.

[13]  James R. Curran,et al.  Investigating GIS and Smoothing for Maximum Entropy Taggers , 2003, EACL.

[14]  John Hale,et al.  A Statistical Approach to Anaphora Resolution , 1998, VLC@COLING/ACL.