Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Mihael, Arcan"'
Autor:
Mihael Arcan, Sampritha Manjunath, Cécile Robin, Ghanshyam Verma, Devishree Pillai, Simon Sarkar, Sourav Dutta, Haytham Assem, John P. McCrae, Paul Buitelaar
Publikováno v:
Information, Vol 14, Iss 5, p 288 (2023)
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 still present a challenge
Externí odkaz:
https://doaj.org/article/5f2817ceddc74bdd8cc6f084aa0a9c0d
Publikováno v:
Multimedia Tools and Applications. 82:9137-9171
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783031333828
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afd1d27873ec11e591272533495dfdac
https://doi.org/10.1007/978-3-031-33383-5_10
https://doi.org/10.1007/978-3-031-33383-5_10
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Publikováno v:
Proceedings of the 4th Workshop on NLP for Conversational AI.
Publikováno v:
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop.
This paper describes the submission by NUIG-DSI to the GEM benchmark 2021. We participate in the modeling shared task where we submit outputs on four datasets for data-to-text generation, namely, DART, WebNLG (en), E2E and CommonGen. We follow an app
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab23fd733e3279786f77a9c8d4be7197
http://hdl.handle.net/10379/16886
http://hdl.handle.net/10379/16886
Publikováno v:
DeeLIO@NAACL-HLT
The task of causal question answering aims to reason about causes and effects over a provided real or hypothetical premise. Recent approaches have converged on using transformer-based language models to solve question answering tasks. However, pretra
Autor:
Bharathi Raja Chakravarthi, Navaneethan Rajasekaran, Mihael Arcan, Kevin McGuinness, Noel E. O'Connor, John P. McCrae
Publikováno v:
Chakravarthi, Bharathi Raja ORCID: 0000-0002-4575-7934 , Rajasekaran, Navaneethan, Arcan, Mihael ORCID: 0000-0002-3116-621X , McGuinness, Kevin ORCID: 0000-0003-1336-6477 , O'Connor, Noel E. ORCID: 0000-0002-4033-9135 and McCrae, John P. ORCID: 0000-0002-7227-1331 (2020) Bilingual lexicon induction across orthographically-distinct under-resourced Dravidian languages. In: 7th Workshop on NLP for Similar Languages, Varieties and Dialects, 13 Dec 2020, Barcelona, Spain (Online).
Bilingual lexicons are a vital tool for under-resourced languages and recent state-of-the-art approaches to this leverage pretrained monolingual word embeddings using supervised or semi-supervised approaches. However, these approaches require cross-l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::89319a6b5869e76a615dfbc1307d2d8c
http://doras.dcu.ie/25223/
http://doras.dcu.ie/25223/
Publikováno v:
COLING
Conversational recommender systems focus on the task of suggesting products to users based on the conversation flow. Recently, the use of external knowledge in the form of knowledge graphs has shown to improve the performance in recommendation and di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87b837f88091084e25e6ea7a93c18ce6