نتایج جستجو برای: question answer sequence

تعداد نتایج: 665217  

2017
Mitesh M. Khapra Dinesh Raghu Sachindra Joshi Sathish Reddy

In recent years, knowledge graphs such as Freebase that capture facts about entities and relationships between them have been used actively for answering factoid questions. In this paper, we explore the problem of automatically generating question answer pairs from a given knowledge graph. The generated question answer (QA) pairs can be used in several downstream applications. For example, they...

2013
Xuchen Yao Benjamin Van Durme Chris Callison-Burch Peter Clark

Our goal is to extract answers from preretrieved sentences for Question Answering (QA). We construct a linear-chain Conditional Random Field based on pairs of questions and their possible answer sentences, learning the association between questions and answer types. This casts answer extraction as an answer sequence tagging problem for the first time, where knowledge of shared structure between...

Journal: :future of medical education journal 0
mohammad reza mahmoodi physiology research center, school of health, kerman university of medical sciences. kerman, iran department of nutrition, school of health, kerman university of medical sciences. kerman, iran mohammad reza baneshi research center for modeling in health, institute futures studies in health and biostatistic and epidemiology department, school of health, kerman university of medical sciences. kerman, iran sakineh mohammad alizadeh physiology research center, school of health, kerman university of medical sciences. kerman, iran

background: it is important to learn how to study for different examinations. the objective of the current study is to explore whether the assessment method selection would significantly affect the studying and learning approaches of students. methods: this descriptive-analytical research consisted of 191 first-year undergraduate nursing students from three nursing schools and was conducted dur...

2016
Jun Yin Xin Jiang Zhengdong Lu Lifeng Shang Hang Li Xiaoming Li

This paper presents an end-to-end neural network model, named Neural Generative Question Answering (GENQA), that can generate answers to simple factoid questions, both in natural language. More specifically, the model is built on the encoder-decoder framework for sequence-to-sequence learning, while equipped with the ability to access an embedded knowledge-base through an attention-like mechani...

Journal: :Discrete Mathematics 2012
Eric Rowland Jeffrey Shallit

In this paper we answer the following question: what is the lexicographically least sequence over the natural numbers that avoids 32 -powers?

2003
Andres Corrada-Emmanuel W. Bruce Croft Vanessa Murdock

Document or passage retrieval is typically used as the first step in current question answering systems. The accuracy of the answer that is extracted from the passages and the efficiency of the question answering process will depend to some extent on the quality of this initial ranking. We show how language model approaches can be used to improve answer passage ranking. In particular, we show h...

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