Results 11 to 20 of about 3,002,497 (295)
A question-entailment approach to question answering [PDF]
BMC Bioinformatics, 2019 Background One of the challenges in large-scale information retrieval (IR) is developing fine-grained and domain-specific methods to answer natural language questions.
Asma Ben Abacha, Dina Demner-Fushman
doaj +6 more sources
Intra-assessor consistency in question answering [PDF]
, 2007 In this paper we investigate the consistency of answer assessment in a complex question answering task examining features of assessor consistency, types of answers and question ...
Murat Yakici +20 more
core +6 more sources
Survey of Multilingual Question Answering [PDF]
Jisuanji kexue, 2022 Multilingual question answering is one of the research hotspots in the field of natural language processing,which aims to enable the model to return a correct answer based on understanding of the given questions and texts in different languages.With the ...
LIU Chuang, XIONG De-yi
doaj +1 more source
Exploring the Utility of Dutch Question Answering Datasets for Human Resource Contact Centres
Information, 2022 We explore the use case of question answering (QA) by a contact centre for 130,000 Dutch government employees in the domain of questions about human resources (HR).
Chaïm van Toledo +4 more
doaj +1 more source
An investigation of question translation for English-Chinese cross-language question answering [PDF]
, 2007 Question-answering (QA) is a next-generation search technology which aims to provide answers to a user’s question from a collection of documents. Cross-Language QA (CLQA) extends this paradigm to answering questions from a collection in a different ...
Bin Wang +11 more
core +2 more sources
Community Question Answering Ranking: Methodology Survey [PDF]
The Egyptian Journal of Language Engineering, 2022 This paper surveys the evolution of word embeddings along with the methodologies used in Community Question Answering (cQA), and how these methodologies use word embeddings to achieve higher performance metrics. The paper first discusses vector modelling
Ossama Emam +2 more
doaj +1 more source
Unanswerable Questions About Images and Texts
Frontiers in Artificial Intelligence, 2020 Questions about a text or an image that cannot be answered raise distinctive issues for an AI. This note discusses the problem of unanswerable questions in VQA (visual question answering), in QA (textual question answering), and in AI generally.
Ernest Davis
doaj +1 more source
Review of Visual Question Answering Technology [PDF]
Jisuanji kexue yu tansuo, 2023 Visual question answering (VQA) is a popular cross-modal task that combines natural language pro-cessing and computer vision techniques. The main objective of this task is to enable computers to intelligently recognize and retrieve visual content and ...
WANG Yu, SUN Haichun
doaj +1 more source
Neural factoid geospatial question answering
Journal of Spatial Information Science, 2022 Existing question answering systems struggle to answer factoid questions when geospatial information is involved. This is because most systems cannot accurately detect the geospatial semantic elements from the natural language questions, or capture the ...
Haonan Li +8 more
doaj +1 more source
Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering [PDF]
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021 In this paper we propose a novel approach towards improving the efficiency of Question Answering (QA) systems by filtering out questions that will not be answered by them. This is based on an interesting new finding: the answer confidence scores of state-of-the-art QA systems can be approximated well by models solely using the input question text. This
Siddhant Garg, Alessandro Moschitti
openaire +4 more sources