Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Kiem-Hieu Nguyen"'
This paper presents a neural architecture for Vietnamese sequence labeling tasks including part-of-speech (POS) tagging and named entity recognition (NER). We applied the model described in \cite{lample-EtAl:2016:N16-1} that is a combination of bidir
Externí odkaz:
http://arxiv.org/abs/1811.03754
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783031238031
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::370dd3beddabfd10c79f455babb5bb26
https://doi.org/10.1007/978-3-031-23804-8_28
https://doi.org/10.1007/978-3-031-23804-8_28
Publikováno v:
IEICE Transactions on Information and Systems. :866-873
Publikováno v:
2021 13th International Conference on Knowledge and Systems Engineering (KSE).
Publikováno v:
Findings of the Association for Computational Linguistics: EMNLP 2021.
Akademický článek
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Publikováno v:
RIVF
Word segmentation is an important problem in natural language processing. Most of previous works on Vietnamese word segmentation are supervised learning. In this paper, we propose an unsupervised method for Vietnamese word segmentation based on Hidde
Publikováno v:
RIVF
This paper presents a neural architecture for Vietnamese sequence labeling tasks including part-of-speech (POS) tagging and named entity recognition (NER). We applied the model described in \cite{lample-EtAl:2016:N16-1} that is a combination of bidir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c140ade453dfa547e8a4f79349db4f58
http://arxiv.org/abs/1811.03754
http://arxiv.org/abs/1811.03754
Autor:
Thanh Chinh Nguyen, Van Nha Nguyen, Kiem-Hieu Nguyen, Kim-Anh Nguyen, Atsuhiro Takasu, Thanh Thi Ha, Son Giang Tran
Publikováno v:
IAES International Journal of Artificial Intelligence (IJ-AI). 9:203
Answer selection is an important task in Community Question Answering (CQA). In recent years, attention-based neural networks have been extensively studied in various natural language processing problems, including question answering. This paper expl
Publikováno v:
Computación y Sistemas. 22
This paper presents a method for summarizing answers in Community Question Answering.We explore deep Auto-encoder and Long-short-termmemory Auto-encoder for sentence representation. The sentence representations are used to measure similarity in Maxim