FINDING STRUCTURED AND UNSTRUCTURED FEATURES TO IMPROVE THE SEARCH RESULT OF COMPLEX QUESTION
Jurnal Sistem Informasi, 2012 The current researches on question answer usually achieve the answer only from unstructured text resources such as collection of news or pages. According to our observation from Yahoo!Answer, users sometimes ask in complex natural language questions ...
Dewi Wisnu Wardani
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Efficient question answering with question decomposition and multiple answer streams [PDF]
, 2009 The German question answering (QA) system IRSAW (formerly: InSicht) participated in QA@CLEF for the fth time. IRSAW was introduced in 2007 by integrating the deep answer producer InSicht, several shallow answer producers, and a logical validator ...
Glöckner, Ingo +5 more
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A Metamorphic Testing Approach for Assessing Question Answering Systems
Mathematics, 2021 Question Answering (QA) enables the machine to understand and answer questions posed in natural language, which has emerged as a powerful tool in various domains. However, QA is a challenging task and there is an increasing concern about its quality.
Kaiyi Tu, Mingyue Jiang, Zuohua Ding
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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
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A Rule-Based Approach to Understand Questions in Arabic Question Answering [PDF]
Jordanian Journal of Computers and Information Technology, 2016 Research on Arabic Natural Language Processing is facing a lot of problems due to language complexity, lack of machine readable resources, and lack of interest among Arab researchers.
Emad M. Al-Shawakfa
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Question Classification for Intelligent Question Answering: A Comprehensive Survey
ISPRS International Journal of Geo-Information, 2023 In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA.
Hao Sun +4 more
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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
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Multi-hop Knowledge Base Question Answering Model Based on Hierarchical Structure Graph [PDF]
Jisuanji gongchengKnowledge Base Question Answering(KBQA) aims to interpret natural language questions and obtain answer entities via retrieval and inference in a Knowledge Graph (KG).
Yunshu LIU, Yanming SHEN, Heng QI, Baocai YIN
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Question Rewriting for Conversational Question Answering [PDF]
Proceedings of the 14th ACM International Conference on Web Search and Data Mining, 2021 Version accepted to WSDM ...
Svitlana Vakulenko +3 more
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Recursive question decomposition for answering complex geographic questions [PDF]
, 2010 This paper describes the GIRSA-WP system and the experiments performed for GikiCLEF 2009, the geographic information retrieval task in the question answering track at CLEF 2009. Three runs were submitted.
Hartrumpf, Sven +3 more
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