Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Tawunrat Chalothorn"'
Autor:
Chanatip Saetia, Areeya Thonglong, Thanpitcha Amornchaiteera, Tawunrat Chalothorn, Supawat Taerungruang, Pakpoom Buabthong
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Event extraction, grounded in semantic relationships, can serve as a simplified relation extraction. In this study, we propose an efficient open-domain event annotation framework tailored for subsequent information extraction, with a specific focus o
Externí odkaz:
https://doaj.org/article/9f753e750a10463ebd95591ffacea53a
Publikováno v:
IEEE Access, Vol 11, Pp 72704-72716 (2023)
Neural-based sequence-to-sequence methods (Seq2Seq) have proven to be highly effective for Context-sensitive Thai spelling correction. However, they also inherit the drawbacks of Seq2Seq, such as a fixed vocabulary and large data requirements. Howeve
Externí odkaz:
https://doaj.org/article/3b37c1fb1f67481a83321c1a4186a706
Publikováno v:
IEEE Access, Vol 8, Pp 133403-133419 (2020)
Text correction systems (e.g., spell checkers) have been used to improve the quality of computerized text by detecting and correcting errors. However, the task of performing spelling correction and word normalization (text correction) for Thai social
Externí odkaz:
https://doaj.org/article/ad77cc203d494aa7a9164e9a59c7419d
Publikováno v:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0444e6038750f9b613d8b69c4b66ffd
https://doi.org/10.1109/isai-nlp56921.2022.9960247
https://doi.org/10.1109/isai-nlp56921.2022.9960247
Publikováno v:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9db621b67303bcc076cf174d50ea44df
https://doi.org/10.1109/isai-nlp56921.2022.9960255
https://doi.org/10.1109/isai-nlp56921.2022.9960255
Publikováno v:
2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::854fc3ed2f52c60f3e8760e6a193bf7f
https://doi.org/10.1109/isai-nlp56921.2022.9960284
https://doi.org/10.1109/isai-nlp56921.2022.9960284
Publikováno v:
2020 15th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
The importance of effective Thai information retrieval (IR) increases as more businesses in Thailand undergo digital transformation. However, previous research on Thai IR systems has mainly focused on web search engines. This study will focus on usin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc5c5fc28526cc3993b9aeb3ffe33d0d
https://doi.org/10.1109/isai-nlp51646.2020.9376809
https://doi.org/10.1109/isai-nlp51646.2020.9376809
Autor:
Supawat Taerungruang, Tawunrat Chalothorn, Nattasit Maharattamalai, Sattaya Singkul, Borirat Khampingyot
Publikováno v:
2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Dependency parsing (DP) is a task that analyzes text for syntactic structure and relationship between words. DP is widely used to improve natural language processing (NLP) applications in many languages such as English. Previous works on DP are gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e84b8826a5d07b06760bc1b22ac1cdd1
https://doi.org/10.1109/isai-nlp48611.2019.9045639
https://doi.org/10.1109/isai-nlp48611.2019.9045639
Publikováno v:
2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP).
Sentiment analysis is an essential task for social listening, especially in service and product analysis. Prior works on sentiment analysis, especially in Thai language, mostly focus on the improvement of model architecture without considering error
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7933918ab4cd37b0a58de928ba062165
https://doi.org/10.1109/isai-nlp48611.2019.9045419
https://doi.org/10.1109/isai-nlp48611.2019.9045419
A sentence is typically treated as the minimal syntactic unit used for extracting valuable information from a longer piece of text. However, in written Thai, there are no explicit sentence markers. We proposed a deep learning model for the task of se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe0741b9d27acd0edbc18b8ae9a780d9
