Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/19767
Author(s): | Ribeiro, E. Ribeiro, R. de Matos, D. |
Date: | 2019 |
Title: | Reconhecimento de actos de diálogo hierárquicos e multi-etiqueta em dados em Espanhol |
Volume: | 11 |
Number: | 1 |
Pages: | 17 - 40 |
ISSN: | 1647-0818 |
DOI (Digital Object Identifier): | 10.21814/lm.11.1.278 |
Keywords: | Reconhecimento de actos de diálogo Classificação hierárquica Classificação multi-etiqueta |
Abstract: | Dialog acts reveal the intention behind the utte-red words. Thus, their automatic recognition is im-portant for a dialog system trying to understand itsconversational partner. The study presented in thisarticle approaches that task on the DIHANA corpus,whose three-level dialog act annotation scheme posesproblems which have not been explored in recent stu-dies. In addition to the hierarchical problem, the twolower levels pose multi-label classification problems.Furthermore, each level in the hierarchy refers to adifferent aspect concerning the intention of the spea-ker both in terms of the structure of the dialog and thetask. Also, since its dialogs are in Spanish, it allows usto assess whether the state-of-the-art approaches onEnglish data generalize to a different language. Morespecifically, we compare the performance of differentsegment representation approaches focusing on bothsequences and patterns of words and assess the impor-tance of the dialog history and the relations betweenthe multiple levels of the hierarchy. Concerning thesingle-label classification problem posed by the top le-vel, we show that the conclusions drawn on Englishdata also hold on Spanish data. Furthermore, weshow that the approaches can be adapted to multi-label scenarios. Finally, by hierarchically combiningthe best classifiers for each level, we achieve the bestresults reported for this corpus. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | IT-RN - Artigos em revistas científicas nacionais com arbitragem científica |
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