Summary of the paper
| Title | Parameters for Topic Boundary Detection in Multi-Party Dialogues |
|---|---|
| Authors | Margot Mieskes and Michael Strube |
| Abstract | We present a topic boundary detection method that searches for connections between sequences of utterances in multi party dialogues. The connections are established based on word identity. We compare our method to a state-of-the art automatic Topic boundary detection method that was also used on multi party dialogues. We checked various methods of preprocessing of the data, including stemming, lemmatization and stopword filtering with a text-based as well as speech-based stopword lists. Using standard evaluation methods we found that our method outperformed the state-of-the art method. |
| Language | Single language |
| Topics | Topic detection & tracking, Summarisation, Corpus (creation, annotation, etc.) |
Full paper |
Parameters for Topic Boundary Detection in Multi-Party Dialogues |
Slides |
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| Bibtex | @InProceedings{MIESKES08.660, author = {Margot Mieskes and Michael Strube}, title = {Parameters for Topic Boundary Detection in Multi-Party Dialogues}, booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)}, year = {2008}, month = {may}, date = {28-30}, address = {Marrakech, Morocco}, editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias}, publisher = {European Language Resources Association (ELRA)}, isbn = {2-9517408-4-0}, note = {http://www.lrec-conf.org/proceedings/lrec2008/}, language = {english} } |