Results 11 to 20 of about 1,560,042 (297)

DAWQAS: A Dataset for Arabic Why Question Answering System

Procedia Computer Science, 2018
A why question answering system is a tool designed to answer why-questions posed in natural language. Several papers have been published on the problem of answering why-questions.
Walaa Saber Ismail, Masun Nabhan Homsi
exaly   +2 more sources

A Factoid Question Answering System for Vietnamese [PDF]

Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18, 2018
In this paper, we describe the development of an end-to-end factoid question answering system for the Vietnamese language. This system combines both statistical models and ontology-based methods in a chain of processing modules to provide high-quality ...
Hong Phuong Le, Duc-Thien Bui
semanticscholar   +4 more sources

Nanjing Yunjin intelligent question-answering system based on knowledge graphs and retrieval augmented generation technology

Heritage Science
Nanjing Yunjin, a traditional Chinese silk weaving craft, is celebrated globally for its unique local characteristics and exquisite workmanship, forming an integral part of the world's intangible cultural heritage.
Liang Xu, Lu Lu, Minglu Liu, Chengxuan Song, Lizhen Wu   +4 more
doaj   +2 more sources

Deep Learning Approaches for Question Answering System

Procedia Computer Science, 2018
Question Answering (QA) System is very useful as most of the deep learning related problems can be modeled as a question answering problem. Consequently, the field is one of the most researched fields in computer science today.
Sahil Gupta
exaly   +2 more sources

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions

CoRR, 2023
Yiming Tan, Dehai Min, Yu Li, Wenbo Li, Nan Hu, Yongrui Chen, Guilin Qi   +6 more
semanticscholar   +2 more sources

Research on a traditional Chinese medicine case-based question-answering system integrating large language models and knowledge graphs. [PDF]

Front Med (Lausanne)
Duan Y, Zhou Q, Li Y, Qin C, Wang Z, Kan H, Hu J.   +6 more
europepmc   +2 more sources

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences [PDF]

Knowledge Discovery and Data Mining, 2023
We present WebGLM, a web-enhanced question-answering system based on the General Language Model (GLM). Its goal is to augment a pre-trained large language model (LLM) with web search and retrieval capabilities while being efficient for real-world ...
Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, P. Zhang, Yuxiao Dong, Jie Tang   +8 more
semanticscholar   +1 more source

Dense Passage Retrieval for Open-Domain Question Answering [PDF]

Conference on Empirical Methods in Natural Language Processing, 2020
Open-domain question answering relies on efficient passage retrieval to select candidate contexts, where traditional sparse vector space models, such as TF-IDF or BM25, are the de facto method.
Vladimir Karpukhin, Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Yu Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih   +7 more
semanticscholar   +1 more source

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering [PDF]

Neural Information Processing Systems, 2022
When answering a question, humans utilize the information available across different modalities to synthesize a consistent and complete chain of thought (CoT).
Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, A. Kalyan   +8 more
semanticscholar   +1 more source

Arabic Question Answering Systems: Gap Analysis

IEEE Access, 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.
Mariam M. Biltawi, Sara Tedmori, Arafat Awajan   +2 more
doaj   +1 more source