Summary of the paper
| Title | Studying the Lexicon of Dialogue Acts |
|---|---|
| Authors | Nicole Novielli and Carlo Strapparava |
| Abstract | Dialogue Acts have been well studied in linguistics and attracted computationallinguistics research for a long time: they constitute the basis of everydayconversations and can be identified with the communicative goal of a givenutterance (e.g. asking for information, stating facts, expressing opinions,agreeing or disagreeing). Even if not constituting any deep understanding ofthe dialogue, automatic dialogue act labeling is a task that can be relevantfor a wide range of applications in both human-computer and human-humaninteraction.We present a qualitative analysis of the lexicon of Dialogue Acts: we explorethe relationship between the communicative goal of an utterance and itsaffective content as well as the salience of specific word classes for eachspeech act. The experiments described in this paper fit in the scope of aresearch study whose long-term goal is to build an unsupervised classifier thatsimply exploits the lexical semantics of utterances for automatically annotatedialogues with the proper speech acts. |
| Language | Other |
| Topics | Discourse annotation, representation and processing, Emotion Recognition/Generation, Other |
Full paper  |
Studying the Lexicon of Dialogue Acts |
| Bibtex | @InProceedings{NOVIELLI10.399, author = {Nicole Novielli and Carlo Strapparava}, title = {Studying the Lexicon of Dialogue Acts}, 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} } |