Summary of the paper

Title Exploring Co-Reference Chains for Concept Annotation of Domain Texts
Authors Petya Osenova, Laska Laskova and Kiril Simov
Abstract The paper explores the co-reference chains as a way for improving the densityof concept annotation over domain texts. The idea extends authors’ previouswork on relating the ontology to the text terms in two domains ― IT andtextile. Here IT domain is used. The challenge is to enhance relations amongconcepts instead of text entities, the latter pursued in most works. Ourultimate goal is to exploit these additional chains for concept disambiguationas well as sparseness resolution at concept level. First, a gold standard wasprepared with manually connected links among concepts, anaphoric pronouns andcontextual equivalents. This step was necessary not only for test purposes, butalso for better orientation in the co-referent types and distribution. Then,two automatic systems were tested on the gold standard. Note that these systemswere not designed specially for concept chaining. The conclusion is that thestate-of-the-art co-reference resolution systems might address the conceptsparseness problem, but not so much the concept disambiguation task. For thelatter, word-sense disambiguation systems have to be integrated.
Language Ontologies
Topics Corpus (creation, annotation, etc.), Anaphora, Coreference, Ontologies
Full paper Exploring Co-Reference Chains for Concept Annotation of Domain Texts
Bibtex @InProceedings{OSENOVA10.721,
  author = {Petya Osenova, Laska Laskova and Kiril Simov},
  title = {Exploring Co-Reference Chains for Concept Annotation of Domain Texts},
  booktitle = {Proceedings of the Seventh conference on International Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odjik, Stelios Piperidis, Mike Rosner, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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