Summary of the paper
| Title | Comparing the Influence of Different Treebank Annotations on Dependency Parsing |
|---|---|
| Authors | Cristina Bosco, Simonetta Montemagni, Alessandro Mazzei, Vincenzo Lombardo, Felice Dell'Orletta, Alessandro Lenci, Leonardo Lesmo, Giuseppe Attardi, Maria Simi, Alberto Lavelli, Johan Hall, Jens Nilsson and Joakim Nivre |
| Abstract | As the interest of the NLP community grows to develop several treebanks alsofor languages other than English, we observe efforts towards evaluating theimpact of different annotation strategies used to represent particularlanguages or with reference to particular tasks. This paper contributes to thedebate on the influence of resources used for the training and development onthe performance of parsing systems. It presents a comparative analysis of theresults achieved by three different dependency parsers developed and testedwith respect to two treebanks for the Italian language, namely TUT andISST--TANL, which differ significantly at the level of both corpus compositionand adopted dependency representations. |
| Language | Evaluation methodologies |
| Topics | Parsing, Corpus (creation, annotation, etc.), Evaluation methodologies |
Full paper  |
Comparing the Influence of Different Treebank Annotations on Dependency Parsing |
| Bibtex | @InProceedings{BOSCO10.196, author = {Cristina Bosco, Simonetta Montemagni, Alessandro Mazzei, Vincenzo Lombardo, Felice Dell'Orletta, Alessandro Lenci, Leonardo Lesmo, Giuseppe Attardi, Maria Simi, Alberto Lavelli, Johan Hall, Jens Nilsson and Joakim Nivre}, title = {Comparing the Influence of Different Treebank Annotations on Dependency Parsing}, 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} } |