Summary of the paper
| Title | A General Purpose FrameNet-based Shallow Semantic Parser |
|---|---|
| Authors | Bonaventura Coppola and Alessandro Moschitti |
| Abstract | In this paper we present a new FrameNet-based Shallow Semantic Parser. Shallow Semantic Parsing has been a popular Natural Language Processing task since the 2004 and 2005 CoNLL Shared Task editions on Semantic Role Labeling, which were based on the PropBank lexical-semantic resource. Nonetheless, efforts in extending such task to the FrameNet setting have been constrained by practical software engineering issues. We hereby analyze these issues, identify desirable requirements for a practical parsing framework, and show the results of our software implementation. In particular, we attempt at meeting requirements arising from both a) the need of a flexible environment supporting current ongoing research, and b) the willingness of providing an effective platform supporting preliminary application prototypes in the field. After introducing the task of FrameNet-based Shallow Semantic Parsing, we sketch the system processing workflow and summarize a set of successful experimental results, directing the reader to previous published papers for extended experiment descriptions and wider discussion of the achieved results. |
| Topics | Tools, systems, applications, Semantics, Parsing |
Full paper |
A General Purpose FrameNet-based Shallow Semantic Parser |
Slides |
A General Purpose FrameNet-based Shallow Semantic Parser |
| Bibtex | @InProceedings{COPPOLA10.893, author = {Bonaventura Coppola and Alessandro Moschitti}, title = {A General Purpose FrameNet-based Shallow Semantic Parser}, booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)}, year = {2010}, month = {may}, date = {19-21}, address = {Valletta, Malta}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-6-7}, language = {english} } |