Summary of the paper
| Title | Capturing Coercions in Texts: a First Annotation Exercise |
|---|---|
| Authors | Elisabetta Jezek and Valeria Quochi |
| Abstract | In this paper we report the first results of an annotation exercise of argumentcoercion phenomena performed on Italian texts. Our corpus consists of ca 4000sentences from the PAROLE sottoinsieme corpus (Bindi et al. 2000) annotatedwith Selection and Coercion relations among verb-noun pairs formatted in XMLaccording to the Generative Lexicon Mark-up Language (GLML) format (Pustejovskyet al., 2008). For the purposes of coercion annotation, we selected 26 Italianverbs that impose semantic typing on their arguments in either Subject, DirectObject or Complement position. Every sentence of the corpus is annotated withthe source type for the noun arguments by two annotators plus a judge. Anoverall agreement of 0.87 kappa indicates that the annotation methodology isreliable. A qualitative analysis of the results allows us to outline somesuggestions for improvement of the task: 1) a different account of complextypes for nouns has to be devised and 2) a more comprehensive account ofcoercion mechanisms requires annotation of the deeper meaning dimensions thatare targeted in coercion operations, such as those captured by Qualiarelations. |
| Language | Semantics |
| Topics | Corpus (creation, annotation, etc.), Knowledge Discovery/Representation, Semantics |
Full paper  |
Capturing Coercions in Texts: a First Annotation Exercise |
| Bibtex | @InProceedings{JEZEK10.713, author = {Elisabetta Jezek and Valeria Quochi}, title = {Capturing Coercions in Texts: a First Annotation Exercise}, 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} } |