Results 51 to 60 of about 1,560,042 (297)

Question Answering System for Frequently Asked Questions [PDF]

, 2016
Question Answering (QA) is an important aspect of Natural Language Processing. It comprises building a system that automatically answers questions sought in natural language. Frequently Asked Questions (FAQs) are a set of listed questions and answers concerning a specific topic, which are most likely to be enquired by a user.
Divyanshu Bhardwaj, Partha Pakray, Jereemi Bentham, Saurav Saha, Alexander Gelbukh   +4 more
openaire   +2 more sources

Medical Question Answering System Based on Retrieval-augmented Generation [PDF]

ITM Web of Conferences
This study investigates the feasibility and reliability of Retrieval-Augmented Generation (RAG) in medical question-answering tasks. To address issues such as hallucination and lack of traceability in large language models (LLMs) in medical contexts, a ...
Cao Chengwei
doaj   +1 more source

Retrieving Chinese Questions and Answers Based on Deep-Learning Algorithm

Mathematics, 2023
Chinese open-domain reading comprehension question answering is a task in the field of natural language processing. Traditional neural network-based methods lack interpretability in answer reasoning when addressing open-domain reading comprehension ...
Huan Wang, Jian Li, Jiapeng Wang
doaj   +1 more source

A RAG-based Question Answering System Proposal for Understanding Islam: MufassirQAS LLM

Social Science Research Network
: There exist challenges in learning and understanding religions as the presence of complexity and depth of religious doctrines and teachings. Chatbots as question-answering systems can help in solving these challenges. LLM chatbots use NLP techniques to
Ahmet Yusuf Alan, Enis Karaarslan, Ö. Aydin   +2 more
semanticscholar   +1 more source

Studio Ousia's Quiz Bowl Question Answering System [PDF]

arXiv.org, 2018
In this chapter, we describe our question answering system, which was the winning system at the Human–Computer Question Answering (HCQA) Competition at the Thirty-first Annual Conference on Neural Information Processing Systems (NIPS).
Ikuya Yamada, Ryuji Tamaki, Hiroyuki Shindo, Yoshiyasu Takefuji   +3 more
semanticscholar   +1 more source

A Novel Expert Finding System for Community Question Answering

Complexity, 2020
With the popularity of community question answering (CQA) sites, the research on identifying the expert users in online communities attracted increasing attention.
Nan Zhao, Jia Cheng, Nan Chen, Fei Xiong, Peng Cheng   +4 more
doaj   +1 more source

Deep learning-based question answering system for intelligent humanoid robot

Journal of Big Data, 2020
Background The development of Intelligent Humanoid Robot focuses on question answering systems that can interact with people is very limited. In this research, we would like to propose an Intelligent Humanoid Robot with the self-learning capability for ...
Widodo Budiharto, Vincent Andreas, Alexander Agung Santoso Gunawan   +2 more
doaj   +1 more source

Tweet question classification for enhancing Tweet Question Answering System

Natural Language Processing Journal
In the evolving landscape of social media, effective Question Answering (QA) systems are crucial for enhancing user engagement and satisfaction. Question classification (QC) is vital for improving the efficiency and accuracy of QA systems.
Chindukuri Mallikarjuna, Sangeetha Sivanesan   +1 more
doaj   +1 more source

Quartz: A Question Answering System for Dutch [PDF]

, 2007
We describe a question answering system for Dutch that we used for our participation in the 2006 CLEF Question Answering Dutch monolingual task. We give an overview of the system and focus on the question classification module, the multi-dimensional markup for data storage and access, the answer processing component, and our probabilistic approach to ...
Ahn, D.D., Jijkoun, V., van Rantwijk, J., de Rijke, M., Tjong Kim Sang, E.   +4 more
openaire   +2 more sources

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source