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pro vyhledávání: '"Joseph Peper"'
Autor:
Jason Mars, Jonathan K. Kummerfeld, Joseph Peper, Anish Mahendran, Andrew Lee, Lingjia Tang, Kevin Leach, Michael A. Laurenzano, Stefan Larson, Christopher Clarke, Parker Hill
Publikováno v:
EMNLP/IJCNLP (1)
Task-oriented dialog systems need to know when a query falls outside their range of supported intents, but current text classification corpora only define label sets that cover every example. We introduce a new dataset that includes queries that are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26f395a7eddd6eb0fc8df71e1cd98b3c
Autor:
Jonathan K. Kummerfeld, Jatin Ganhotra, Siva Sankalp Patel, Walter S. Lasecki, Joseph Peper, Sai R. Gouravajhala, R. Chulaka Gunasekara, Lazaros Polymenakos, Vignesh Athreya
Publikováno v:
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics.
Disentangling conversations mixed together in a single stream of messages is a difficult task, made harder by the lack of large manually annotated datasets. We created a new dataset of 77,563 messages manually annotated with reply-structure graphs th