Browsing Data Science Institute by Subject "term extraction"

Now showing items 1-4 of 4

    • Hot Topics and Schisms in NLP: Community and Trend Analysis with Saffron on ACL and LREC Proceedings 

      Buitelaar, Paul; Bordea, Georgeta; Coughlan, Barry (2014)
      In this paper we present a comparative analysis of two series of conferences in the field of Computational Linguistics, the LREC conference and the ACL conference. Conference proceedings were ...

    • Intent classification by the use of automatically generated knowledge graphs 

      Arcan, Mihael; Manjunath, Sampritha; Robin, Cécile; Verma, Ghanshyam; Pillai, Devishree; Sarkar, Simon; Dutta, Sourav; Assem, Haytham; McCrae, John P.; Buitelaar, Paul (MDPI, 2023-05-12)
      Intent classification is an essential task for goal-oriented dialogue systems for automatically identifying customers¿ goals. Although intent classification performs well in general settings, domain-specific user goals can ...

    • A term extraction approach to survey analysis in health care 

      Robin, Cécile; Isazad Mashinchi, Mona; Ahmadi Zeleti, Fatemeh; Ojo, Adegboyega; Buitelaar, Paul (European Language Resources Association, 2020-05)
      The voice of the customer has for a long time been a key focus of businesses in all domains. It has received a lot of attention from the research community in Natural Language Processing (NLP) resulting in many approaches ...

    • Towards bootstrapping a chatbot on industrial heritage through term and relation extraction 

      Arcan, Mihael; O’Halloran, Rory; Robin, Cecile; Buitelaar, Paul (Association for Computational Linguistics (ACL), 2022-11-20)
      We describe initial work in developing a methodology for the automatic generation of a conversational agent or ‘chatbot’ through term and relation extraction from a relevant corpus of language data. We develop our ...