Summary of the paper
| Title | The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic |
|---|---|
| Authors | Amal Al-Saif and Katja Markert |
| Abstract | We present the first effort towards producing an Arabic Discourse Treebank,a news corpus where all discourse connectives are identified and annotated with the discourse relations they convey as well as with the two arguments they relate.We discuss our collection of Arabic discourse connectives as well as principles for identifying and annotating them in context, taking into account properties specific to Arabic. In particular, we deal with the fact that Arabic has a rich morphology: we therefore include clitics as connectives as well as a wide range of nominalizations as potential arguments. We present a dedicated discourse annotation tool for Arabic and a large-scale annotation study. We show that both the human identification of discourse connectives and the determination of the discourse relations they convey is reliable. Our current annotated corpus encompasses a final 5651 annotated discourse connectives in 537 news texts. In future, we will release the annotated corpus to other researchers and use it for training and testing automated methods for discourse connective and relation recognition. |
| Topics | Corpus (creation, annotation, etc.), Discourse annotation, representation and processing, Validation of LRs |
Full paper |
The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic |
Slides |
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| Bibtex | @InProceedings{ALSAIF10.479, author = {Amal Al-Saif and Katja Markert}, title = {The Leeds Arabic Discourse Treebank: Annotating Discourse Connectives for Arabic}, 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} } |