نتایج جستجو برای: and answerthe question

تعداد نتایج: 16840413  

2009
Protima Banerjee Hyoil Han

Within a Question Answering (QA) framework, Question Context plays a vital role. We define Question Context to be background knowledge that can be used to represent the user’s information need more completely than the terms in the query alone. This paper proposes a novel approach that uses statistical language modeling techniques to develop a semantic Question Context which we then incorporate ...

Journal: :iranian journal of psychiatry 0
abbasali soleimani khashab shiraz university, shiraz, iran ali mansouri khashab islamic azad university, central tehran branch, shiraz, iran mohammad reza mohammadi psychiatry and psychology research center, roozbeh hospital, tehran university of medical sciences, tehran, iran hamid zarabipour tehran university of medical sciences, tehran, iran vahid malekpour tehran university of medical sciences, tehran, iran

objective: the aim of this study was to investigate the possibility of predicting psychological well-being based on spirituality and religiousness. methods: a sample of 300 participants was selected from the whole entrants to shiraz university of medical sciences and shiraz university using a random cluster sampling. the tools of this study were the spiritual scale of ironson, the internal and ...

Journal: :Nursing Older People 2016

Journal: :Acta Ophthalmologica 2019

2016
Divyanshu Bhardwaj Partha Pakray Jereemi Bentham Saurav Saha Alexander F. Gelbukh

English. 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. This paper deals with developing an open domain QA system fo...

Journal: :AMIA ... Annual Symposium proceedings. AMIA Symposium 2016
Asma Ben Abacha Dina Demner-Fushman

With the increasing heterogeneity and specialization of medical texts, automated question answering is becoming more and more challenging. In this context, answering a given medical question by retrieving similar questions that are already answered by human experts seems to be a promising solution. In this paper, we propose a new approach for the detection of similar questions based on Recogniz...

Journal: :Italian Journal of Computational Linguistics 2017

Journal: :Teaching Mathematics and Computer Science 2020

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید