Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Huong Thanh Le"'
Publikováno v:
Journal of Computer Science and Cybernetics. 37:123-143
Deep neural networks have been applied successfully to extractive text summarization tasks with the accompany of large training datasets. However, when the training dataset is not large enough, these models reveal certain limitations that affect the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::215392f0c855ad9426d745a781ff8117
https://doi.org/10.15625/1813-9663/37/2/15980
https://doi.org/10.15625/1813-9663/37/2/15980
Publikováno v:
RIVF
The development of Internet makes plagiarism problem more and more serious. Plagiarism can be in different types, ranging from copying texts to adopting ideas, without giving credit to the original author. Most research in plagiarism checking concent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2041cf97ca257a335eba7c37624f4b5
https://doi.org/10.1109/rivf.2016.7800271
https://doi.org/10.1109/rivf.2016.7800271
Publikováno v:
SoICT
This paper proposes some strategies to reduce the running time of genetic algorithms used in a feature selection task for the problem of named entity recognition. They include: (i) reduction of population size during the evolution process of the gene
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31807e8c975e2f0ccc74f0a2f6633b33
https://doi.org/10.1145/2833258.2833262
https://doi.org/10.1145/2833258.2833262
Autor:
Huong Thanh Le, Tien Manh Le
Publikováno v:
SoCPaR
ive summarization is the technique of generating a summary of a text from its main ideas, not by copying verbatim most salient sentences from text. This is an important and challenge task in natural language processing. In this paper, we propose an a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8188dc08ceea35e5ee1e805a3286b221
https://doi.org/10.1109/socpar.2013.7054161
https://doi.org/10.1109/socpar.2013.7054161
Publikováno v:
SoCPaR
This paper presents our named entity recognition system for Vietnamese text using labeled propagation. In here we propose: (i) a method of choosing noun phrases as the named entity candidates; (ii) a method to measure the word similarity; and (iii) a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34be2b7628243362c5ba8362185d7e38
https://doi.org/10.1109/socpar.2013.7054160
https://doi.org/10.1109/socpar.2013.7054160
Autor:
Huong Thanh Le, Luan Van Tran
Publikováno v:
SoICT
This paper presents a feature selection approach for named entity recognition using genetic algorithm. Different aspects of genetic algorithm including computational time and criteria for evaluating an individual (i.e., size of the feature subset and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b257073f61889ba55fe223b0635da711
https://doi.org/10.1145/2542050.2542056
https://doi.org/10.1145/2542050.2542056
Publikováno v:
SoICT
Relation extraction (RE) is the task of finding semantic relations between entities from text. As the supervised learning method requires a large amount of labeled training data, the semi-supervised learning method is the topics of interest. This pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a51ef62ddf66490aef8e0fa57c74cf05
https://doi.org/10.1145/2069216.2069239
https://doi.org/10.1145/2069216.2069239
Publikováno v:
Advances in Knowledge Discovery and Data Mining ISBN: 9783642208409
PAKDD (1)
PAKDD (1)
Named entity recognition (NER) is the process of seeking to locate atomic elements in text into predefined categories such as the names of persons, organizations and locations.Most existingNERsystems are based on supervised learning. This method ofte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8a6417dbffae22875e026f755d2a938
https://doi.org/10.1007/978-3-642-20841-6_42
https://doi.org/10.1007/978-3-642-20841-6_42
Publikováno v:
RIVF
Implementing a Vietnamese syntactic parser is a difficult task due to the complexity of Vietnamese language. Most existing Vietnamese syntactic parsers are limited by types of sentences they can analyze. This paper introduces a syntactic parser that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3b106a723df51ac8a3f10717de94fe6
https://doi.org/10.1109/rivf.2010.5633334
https://doi.org/10.1109/rivf.2010.5633334
Publikováno v:
Information Retrieval Technology ISBN: 9783642171864
AIRS
AIRS
Relation extraction is the task of finding semantic relations between entities from text. This paper presents our approach to relation extraction for Vietnamese text using Conditional Random Field. The features used in the system are words, part-of-s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0eea19306b463b6d6c3dbc5b5a0e15d
https://doi.org/10.1007/978-3-642-17187-1_32
https://doi.org/10.1007/978-3-642-17187-1_32