Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Phuong Le-Hong"'
Publikováno v:
Journal of Language Modelling, Vol 3, Iss 1 (2015)
This paper presents the development of a syntactic component for the Vietnamese language. We first discuss the construction of a lexicalized tree-adjoining grammar using an automatic extraction approach. We then present the construction and evaluatio
Externí odkaz:
https://doaj.org/article/bed1a57126cd42fe928428d234faa629
Autor:
Phuong Le-Hong, Erik Cambria
Publikováno v:
Language Resources and Evaluation. 57:611-639
Publikováno v:
Linköping Electronic Conference Proceedings.
Publikováno v:
2022 14th International Conference on Knowledge and Systems Engineering (KSE).
Publikováno v:
Language Resources and Evaluation.
Akademický článek
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Autor:
Luong Nguyen-Thi, Phuong Le-Hong
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811561672
PACLING
PACLING
This paper presents an experimental study in Vietnamese constituency syntactic parsing. We first compare results of two recent constituency parsers on a Vietnamese corpus, a shift-reduce constituency parser and a neural parser. We then integrate dist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1dbd864189c7eeab4129bb565753a69
https://doi.org/10.1007/978-981-15-6168-9_30
https://doi.org/10.1007/978-981-15-6168-9_30
Autor:
Tho Chi Luong, Phuong Le-Hong
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811561672
PACLING
PACLING
This work investigates the task-oriented dialogue problem in mixed-domain settings. We study the effect of alternating between different domains in sequences of dialogue turns using two related state-of-the-art dialogue systems. We first show that a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b313474ee3b2287a22678e0b84b1874b
https://doi.org/10.1007/978-981-15-6168-9_22
https://doi.org/10.1007/978-981-15-6168-9_22
Autor:
Phuong Le-Hong, Hoang-Vu Dang
Publikováno v:
Computer Speech & Language. 68:101202
This paper presents a joint syntactic-semantic embedding model which not only uses syntactic information to enrich the word embeddings but also generates distributed representations for the syntactic structures themselves. The syntactic input to our
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030197377
CORES
CORES
Hybrid models of speech recognition combine a neural acoustic model with a language model, which rescores the output of the acoustic model to find the most linguistically likely transcript. Consequently the language model is of key importance in both
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba3b4a55b06272211a0b4a4af929977c
https://doi.org/10.1007/978-3-030-19738-4_17
https://doi.org/10.1007/978-3-030-19738-4_17