Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Arash Eshghi"'
Autor:
Angus Addlesee, Arash Eshghi
Publikováno v:
Frontiers in Dementia, Vol 3 (2024)
In spontaneous conversation, speakers seldom have a full plan of what they are going to say in advance: they need to conceptualise and plan incrementally as they articulate each word in turn. This often leads to long pauses mid-utterance. Listeners e
Externí odkaz:
https://doaj.org/article/ba6695a8c57746de914115b5c88b79cf
Autor:
Patrick G. T. Healey, Christine Howes, Ruth Kempson, Gregory J. Mills, Matthew Purver, Eleni Gregoromichelaki, Arash Eshghi, Julian Hough
Publikováno v:
Behavioral and Brain Sciences. 46
Social robots have limited social competences. This leads us to view them as depictions of social agents rather than actual social agents. However, people also have limited social competences. We argue that all social interaction involves the depicti
Autor:
Christine Howes, Arash Eshghi
Publikováno v:
Journal of Logic, Language and Information. 30:331-362
Feedback such as backchannels and clarification requests often occurs subsententially, demonstrating the incremental nature of grounding in dialogue. However, although such feedback can occur at any point within an utterance, it typically does not do
Publikováno v:
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop.
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811593222
IWSDS
IWSDS
We have recently seen the emergence of several publicly available Natural Language Understanding (NLU) toolkits, which map user utterances to structured, but more abstract, Dialogue Act (DA) or Intent specifications, while making this process accessi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ae3a6b286f60ef19898c594834451b3a
https://doi.org/10.1007/978-981-15-9323-9_15
https://doi.org/10.1007/978-981-15-9323-9_15
Publikováno v:
EACL
As transparency becomes key for robotics and AI, it will be necessary to evaluate the methods through which transparency is provided, including automatically generated natural language (NL) explanations. Here, we explore parallels between the generat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82979c30fc05810cb128c2ffd422c11e
Publikováno v:
COLING
Automatic Speech Recognition (ASR) systems are increasingly powerful and more accurate, but also more numerous with several options existing currently as a service (e.g. Google, IBM, and Microsoft). Currently the most stringent standards for such sys
Publikováno v:
Scopus-Elsevier
EMNLP/IJCNLP (1)
EMNLP/IJCNLP (1)
Goal-oriented dialogue systems are now being widely adopted in industry where it is of key importance to maintain a rapid prototyping cycle for new products and domains. Data-driven dialogue system development has to be adapted to meet this requireme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c14a4d7ca9446db5729be33b5616393
http://arxiv.org/abs/1910.01302
http://arxiv.org/abs/1910.01302
Publikováno v:
Scopus-Elsevier
SIGdial
SIGdial
Learning with minimal data is one of the key challenges in the development of practical, production-ready goal-oriented dialogue systems. In a real-world enterprise setting where dialogue systems are developed rapidly and are expected to work robustl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::650a979837a36a2a37d108c267f81d3c
http://arxiv.org/abs/1908.05854
http://arxiv.org/abs/1908.05854
In this chapter, we argue that ellipsis is a phenomenon that directly parallels anaphora, hence providing direct evidence of the concept of context on which natural language (NL) processing depends. From this perspective, we argue first that, in fail
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9560b37b0424fa69c9ce2da124ad937d
https://doi.org/10.1093/oxfordhb/9780198712398.013.9
https://doi.org/10.1093/oxfordhb/9780198712398.013.9