1. Multifunctional ISO standard Dialogue Act tagging in Italian
- Author
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Giuseppe Riccardi, Gabriel Roccabruna, and Alessandra Cervone
- Subjects
Twitter during Pandemic ,Automatic Sarcasm Detection ,Linguistic Ostracism in Social Networks ,Computer science ,business.industry ,AriEmozione ,COVID-19 ,Iso standards ,Linguistics ,LAN000000 ,Quantitative Linguistic Investigations ,Fine-grained sentiment analysis ,Online Hate Speech ,Computational Linguistics ,DistilBERT ,Depression from Social Media ,Distributional Semantics ,Gender Bias ,CBX ,AEREST ,E3C Project ,Multilingual NLU ,TrAVaSI ,Software engineering ,business - Abstract
The task of Dialogue Act (DA) tagging, a crucial component in many conversational agents, is often addressed assuming a single DA per speaker turn in the conversation. However, speakers’ turns are often multifunctional, that is they can contain more than one DA (i.e. “I’m Alex. Have we met before?” contains a ‘statement’, followed by a ‘question’). This work focuses on multifunctional DA tagging in Italian. First, we present iLISTEN2ISO, a novel resource with multifunctional DA annotation in Italian, created by annotating the iLISTEN corpus with the ISO standard. We provide an analysis of the corpus showing the importance of multifunctionality for DA tagging. Additionally, we train DA taggers for Italian on iLISTEN (achieving State of the Art results) and iLISTEN2ISO. Our findings indicate the importance of using a multifunctional approach for DA tagging.
- Published
- 2020