Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Arabic question answering"'
Publikováno v:
IEEE Access, Vol 12, Pp 135241-135264 (2024)
In the field of natural language processing (NLP), natural language understanding (NLU) plays a critical role in transforming human languages into machine-interpretable formats. This paper provides an overview of methodologies and resources that have
Externí odkaz:
https://doaj.org/article/51c8976ad5254a3697a16361a3e3b622
Publikováno v:
IEEE Access, Vol 12, Pp 2760-2777 (2024)
The Narrative question answering (QA) problem involves generating accurate, relevant, and human-like answers to questions based on the comprehension of a story consisting of logically connected paragraphs. Developing Narrative QA models allows studen
Externí odkaz:
https://doaj.org/article/e535757f50fe43f784ea904beaec0dcf
Publikováno v:
PeerJ Computer Science, Vol 9, p e1633 (2023)
Artificial intelligence-based question-answering (QA) systems can expedite the performance of various tasks. These systems either read passages and answer questions given in natural languages or if a question is given, they extract the most accurate
Externí odkaz:
https://doaj.org/article/73ab8cefd10a45bb9d5a1f217be40271
Publikováno v:
Jordanian Journal of Computers and Information Technology, Vol 9, Iss 3, Pp 261-286 (2023)
A conversational system is a natural language processing task that has recently attracted increasing attention with the advancements in Large Language Models (LLMs) and Language Models for Dialogue Applications (LaMDA). However, Conversational Artifi
Externí odkaz:
https://doaj.org/article/1fa6a235ae684e49a66de45824fd7fda
Publikováno v:
IEEE Access, Vol 11, Pp 69131-69143 (2023)
A question-answering system (QAS) retrieves a relevant response to user queries. The existing QASs are limited in performance in satisfying the users’ intention. In recent times, researchers have focused on developing Arabic QASs. However, a signif
Externí odkaz:
https://doaj.org/article/96d5ca2479f447f89c5548bcc0df321a
Publikováno v:
PeerJ Computer Science, Vol 9, p e1413 (2023)
The question-answering system (QAS) aims to produce a response to a query using information from a text corpus. Arabic is a complex language. However, it has more than 450 million native speakers across the globe. The Saudi Arabian government encoura
Externí odkaz:
https://doaj.org/article/9d60379e99194418a51b77ad14875b8e
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 6, Pp 3758-3765 (2022)
Question Answering Systems (QAS) are rising solutions providing exact and precise answers to natural questions. Duplicate Question Detection (DQD), which aims to reuse previous answers, has shown its ability to improve user experience and reduce sign
Externí odkaz:
https://doaj.org/article/cffa4bfd44344759861df1c106d9f163
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 2, Pp 218-224 (2021)
The unability of search engines to retrieve precise answer for a given question leads research teams to build question answering systems (QAS). These systems provide exact answers of questions formulated in natural languages. Question classification
Externí odkaz:
https://doaj.org/article/8508f5511c8b4e42a5baae81c8477766
Publikováno v:
IEEE Access, Vol 9, Pp 63876-63904 (2021)
Question-answering (QA) systems aim to provide answers for given questions. The answers can be extracted or generated from either unstructured or structured text. Therefore, QA is considered an important field that can be used to evaluate machine tex
Externí odkaz:
https://doaj.org/article/7da63d1183cd4aaa904391969e3bf288
Publikováno v:
Alexandria Engineering Journal, Vol 59, Iss 6, Pp 4427-4434 (2020)
In this paper, we approach the Arabic community question answering problem. We integrated different types of similarity features, in addition to exploring the effect of using preprocessing. Moreover, we developed a novel deep neural network ensemble
Externí odkaz:
https://doaj.org/article/ecdedd04d42f45bd862a037d47d18001