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Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots.

, , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 731-734. AAAI Press, (2018)

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A Two-step Approach for Handling Zero-Cardinality in Relation Extraction., , , and . CoRR, (2023)Enabling Natural Language Analytics over Relational Data Using Formal Concept Analysis., , , and . FCA4AI@IJCAI, volume 2529 of CEUR Workshop Proceedings, page 7-18. CEUR-WS.org, (2019)Natural Language Business Intelligence Question Answering Through SeqtoSeq Transfer Learning., , , , and . PAKDD (Workshops), volume 11607 of Lecture Notes in Computer Science, page 286-297. Springer, (2019)Automatic Extraction of Domain Specific Latent Beliefs in Customer Complaints to Help Tailor Chatbots., , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 731-734. AAAI Press, (2018)A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions., , , , and . COLING, page 4537-4543. International Committee on Computational Linguistics, (2022)Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?, , and . IJCNLP (2), page 43-51. Association for Computational Linguistics, (2023)Extracting Dialog Structure and Latent Beliefs from Dialog Corpus., , and . LaCATODA/BtG@IJCAI, volume 2452 of CEUR Workshop Proceedings, page 30-34. CEUR-WS.org, (2019)Learning Latent Beliefs and Performing Epistemic Reasoning for Efficient and Meaningful Dialog Management., , , and . CoRR, (2018)