Summary of the paper
| Title | Deep Linguistic Processing with GETARUNS for Spoken Dialogue Understanding |
|---|---|
| Authors | Rodolfo Delmonte, Antonella Bristot and Vincenzo Pallotta |
| Abstract | In this paper we will present work carried out to scale up the system for textunderstanding called GETARUNS, and port it to be used in dialogueunderstanding. The current goal is that of extracting automaticallyargumentative information in order to build argumentative structure. The longterm goal is using argumentative structure to produce automatic summarizationof spoken dialogues. Very much like other deep linguistic processing systems,our system is a generic text/dialogue understanding system that can be used inconnection with an ontology ― WordNet - and other similar repositories ofcommonsense knowledge. We will present the adjustments we made in order to copewith transcribed spoken dialogues like those produced in the ICSI Berkeleyproject. In a final section we present preliminary evaluation of the system ontwo tasks: the task of automatic argumentative labeling and another frequentlyaddressed task: referential vs. non-referential pronominal detection. Resultsobtained fair much higher than those reported in similar experiments withmachine learning approaches. |
| Language | Speech resource/database |
| Topics | Dialogue, Discourse annotation, representation and processing, Speech resource/database |
Full paper  |
Deep Linguistic Processing with GETARUNS for Spoken Dialogue Understanding |
| Bibtex | @InProceedings{DELMONTE10.383, author = {Rodolfo Delmonte, Antonella Bristot and Vincenzo Pallotta}, title = {Deep Linguistic Processing with GETARUNS for Spoken Dialogue Understanding}, 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} } |