Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Piryani, Bhawna"'
Detecting and answering ambiguous questions has been a challenging task in open-domain question answering. Ambiguous questions have different answers depending on their interpretation and can take diverse forms. Temporally ambiguous questions are one
Externí odkaz:
http://arxiv.org/abs/2409.17046
Automatic Question Answering (QA) systems rely on contextual information to provide accurate answers. Commonly, contexts are prepared through either retrieval-based or generation-based methods. The former involves retrieving relevant documents from a
Externí odkaz:
http://arxiv.org/abs/2409.16096
Publikováno v:
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024)
Question answering (QA) and Machine Reading Comprehension (MRC) tasks have significantly advanced in recent years due to the rapid development of deep learning techniques and, more recently, large language models. At the same time, many benchmark dat
Externí odkaz:
http://arxiv.org/abs/2403.17859
Publikováno v:
J Big Data 10, 127 (2023)
Answering questions related to the legal domain is a complex task, primarily due to the intricate nature and diverse range of legal document systems. Providing an accurate answer to a legal query typically necessitates specialized knowledge in the re
Externí odkaz:
http://arxiv.org/abs/2304.06623
Autor:
Piryani, Rajesh1 (AUTHOR) rajesh.piryani@gmail.com, Piryani, Bhawna2 (AUTHOR), Singh, Vivek Kumar3 (AUTHOR), Pinto, David4 (AUTHOR), Singh, Vivek (AUTHOR), Perez, Fernando (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2020, Vol. 39 Issue 2, p2201-2212. 12p.