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Ribeiro, E., Ribeiro, R. & de Matos, D. (2019). Reconhecimento de actos de diálogo hierárquicos e multi-etiqueta em dados em Espanhol. Linguamática. 11 (1), 17-40

E. Ribeiro et al.,  "Reconhecimento de actos de diálogo hierárquicos e multi-etiqueta em dados em Espanhol", in Linguamática, vol. 11, no. 1, pp. 17-40, 2019

@article{ribeiro2019_1714135219310,
	author = "Ribeiro, E. and Ribeiro, R. and de Matos, D.",
	title = "Reconhecimento de actos de diálogo hierárquicos e multi-etiqueta em dados em Espanhol",
	journal = "Linguamática",
	year = "2019",
	volume = "11",
	number = "1",
	doi = "10.21814/lm.11.1.278",
	pages = "17-40",
	url = "https://linguamatica.com/index.php/linguamatica/article/view/278"
}

TY  - JOUR
TI  - Reconhecimento de actos de diálogo hierárquicos e multi-etiqueta em dados em Espanhol
T2  - Linguamática
VL  - 11
IS  - 1
AU  - Ribeiro, E.
AU  - Ribeiro, R.
AU  - de Matos, D.
PY  - 2019
SP  - 17-40
SN  - 1647-0818
DO  - 10.21814/lm.11.1.278
UR  - https://linguamatica.com/index.php/linguamatica/article/view/278
AB  - 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.
ER  -