Results 251 to 260 of about 1,560,042 (297)

A Persian Medical Question Answering System

Int. J. Artif. Intell. Tools, 2020
A question answering system is a type of information retrieval that takes a question from a user in natural language as the input and returns the best answer to it as the output.
H. Veisi, Hamed Fakour Shandi
semanticscholar   +1 more source

A Technical Question Answering System with Transfer Learning

Conference on Empirical Methods in Natural Language Processing, 2020
In recent years, the need for community technical question-answering sites has increased significantly. However, it is often expensive for human experts to provide timely and helpful responses on those forums. We develop TransTQA, which is a novel system
W. Yu, Lingfei Wu, Yu Deng, R. Mahindru, Qingkai Zeng, S. Guven, Meng Jiang   +6 more
semanticscholar   +1 more source

SBUQA Question Answering System

2008
In this paper we propose a model for answer extraction component of a question answering system called Sbuqa. In our proposed system we exploit methods for meaning extension of the question and the candidate answers and also make use of ontology (WordNet).
Mahsa Arab Yarmohammadi, Mehrnoush Shamsfard, Mahshid A. Yarmohammadi, Masoud Rouhizadeh   +3 more
openaire   +1 more source

Comparison of Question Answering Systems

2013
Current Information retrieval systems like Google are based on keywords wherein the result is in the form of list of documents. The number of retrieved documents is large. The user searches these documents one by one to find the correct answer. Sometimes the correct or relevant answer to the searched keywords is difficult to find. Studies indicate that
Tripti Dodiya, Sonal Jain
openaire   +1 more source

Chatbot : A Question Answering System for Student

2021 International Conference on Advanced Learning Technologies (ICALT), 2021
In the last few years there has been a fast growing up of the use of Chatbots in various fields, such as Customer Service, Marketing, Educational, Health Care and many others. This paper develops a Question Answering System in educational domain. Using Word Embedding, Latent Dirichlet Allocation and Text summarization method build 3 knowledge bases ...
Li En Chen, Shein-Yung Cheng, Jia-Sheng Heh   +2 more
openaire   +1 more source

Generalizing Question Answering System with Pre-trained Language Model Fine-tuning

Conference on Empirical Methods in Natural Language Processing, 2019
With a large number of datasets being released and new techniques being proposed, Question answering (QA) systems have witnessed great breakthroughs in reading comprehension (RC)tasks.
Dan Su, Yan Xu, Genta Indra Winata, Peng Xu, Hyeon-Jin Kim, Zihan Liu, Pascale Fung   +6 more
semanticscholar   +1 more source

An Arabic question-answering system for factoid questions

2009 International Conference on Natural Language Processing and Knowledge Engineering, 2009
In this paper, we propose an Arabic Question-Answering (Q-A) system called QASAL «Question -Answering system for Arabic Language». QASAL accepts as an input a natural language question written in Modern Standard Arabic (MSA) and generates as an output the most efficient and appropriate answer.
Wissal Brini, Mariem Ellouze, Slim Mesfar, Lamia Hadrich Belguith   +3 more
openaire   +1 more source

Question Classification in a Question Answering System on Cooking

2020
Question Answering is a very actively developing filed of Natural Language Processing. In this field, the most active research work is currently going on with relation to the Question Classification module of a Question Answering System. It plays a very important role in determining the expectations of the user. The aim of question classification is to
Riyanka Manna, Dipankar Das 0001, Alexander F. Gelbukh   +2 more
openaire   +1 more source

A semantic system for answering questions in neuroinformatics

Proceedings of the Australasian Computer Science Week Multiconference, 2018
Neuroinformatics is an important area of study in biomedical science and health informatics. Scientists in neuroscience tend to ask questions that are complicated, time consuming to answer and need multiple tasks in order to get to the result. In this paper, we introduce and report an ontology-based system for answering neuroscience questions ...
Aref EshghiShargh, Kathleen Gray, Simon K. Milton, Scott C. Kolbe   +3 more
openaire   +1 more source

Development of thai question answering system

Proceedings of the 3rd International Conference on Communication and Information Processing, 2017
Automatic question answering systems play an important role nowadays. In this paper, we developed a Thai question answering system. From an input question, the system analyzes an expected type of answer (e.g. human, place) then searches for all possible answers from source documents.
Hatsanai Decha, Karn Patanukhom
openaire   +1 more source