Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Kais Haddar"'
Publikováno v:
Computación y Sistemas. 26
Publikováno v:
Computación y Sistemas. 26
Publikováno v:
KES
Factoid Question-Answering (QA) Systems were developed to provide an accurate answer to a factoid question expressed in a natural language. The prime knowledge resources for most of factoid QA systems are online databases. However, the unstructured i
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Autor:
Kais Haddar, Husien A. Alhammi
Publikováno v:
International Journal of Computer Theory and Engineering. 12:145-150
Toward Building a Bilingual Dictionary for Libyan Dialect-modern Standard Arabic Machine Translation
Autor:
Husien Alhammi, Kais Haddar
Publikováno v:
Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management.
Autor:
Roua Torjmen, Kais Haddar
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030706289
NooJ
NooJ
Factoid questions and definitional questions are commonly used in recent works in Question Answering (QA). These questions can be answered by a Named Entity (NE) or a short sentence. However, a more challenging and less common question to deal with i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29b83bac8cda8fde4626a06be188c2c8
https://doi.org/10.1007/978-3-030-70629-6_16
https://doi.org/10.1007/978-3-030-70629-6_16
Autor:
Roua Torjmen, Kais Haddar
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030706289
NooJ
NooJ
Developing an automatic named-entity recognition system accompanied by a translation system has become an important task in Natural Language Processing applications. In this context, we are interested in building a named-entity recognition system for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20138f7c8111fb819212718c4ab127fb
https://doi.org/10.1007/978-3-030-70629-6_18
https://doi.org/10.1007/978-3-030-70629-6_18
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030711863
ISDA
ISDA
As more social media platforms expand through our lives, the amount of data exchanged across them has sharply upsurged. Data coming from social network sites can be immensely useful for all companies for determining customer trends and increase opera
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c91208c86dcb89dc6558484ea1ebe5be
https://doi.org/10.1007/978-3-030-71187-0_64
https://doi.org/10.1007/978-3-030-71187-0_64