automatic question answering system
Automatic question-answering is a classical problem in natural language processing, which aims at designing systems that can automatically answer a question, in the same way as h uman does. Then a deep similarity neural network is trained to find the similarity score of a pair of answer and question.
Automatic question answering : Beyond the factoid
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In this paper we describe and evaluate a Question Answering system that goes beyond answering factoid questions. We focus on FAQ-like questions and answers, and build our system around a noisy-channel architecture which exploits both a language model for
Automatic Question Pattern Generation for Ontology-based Question Answering .
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This paper presents an automatic question pattern generation method for ontology-based question answering with the use of textual entailment. In this method, a set of question patterns, called predictive questions, which are predicted to be asked by users in a domain
Automatic Question Answering .
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We have developed a method for answering single answer questions automatically using a collection of documents or the Internet as a source of data for the production of the answer. Examples of such questions are What is the melting point of tin, and Who wrote the novel
Automatic set expansion for list question answering
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This paper explores the use of set expansion (SE) to improve question answering (QA) when the expected answer is a list of entities belonging to a certain class. Given a small set of seeds, SE algorithms mine textual resources to produce an extended list including
Automatic lexico-semantic acquisition for question answering
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This research was carried out in the project Question Answering using Dependency Relations, which is part of the research programme for Interactive Multimedia Information eXtraction, IMIX, financed by NWO, the Netherlands organisation for scientific research The
Automatic derivation of surface text patterns for a maximum entropy based question answering system
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In this paper we investigate the use of surface text patterns for a Maximum Entropy based Question Answering (QA) system. These text patterns are collected automatically in an unsupervised fashion using a collection of trivia question and answer pairs as seeds. These
Performance Evaluation Techniques for an Automatic Question Answering System
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Automatic question answering (QA) is an interesting and challenging problem. Generally such problems are handled under two categories: open domain problems and close domain problems. Here the challenge is to understand the natural language question so that the
Question Answering System for Non-factoid Type Questions and Automatic Evaluation based on BE Method.
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In this paper, we describe answer extraction method for non-factoid questions. We classified non-factoid type questions into three types: why type, definition type and how type. We analyzed each type of questions and developed answer extraction patterns for these types
Automatic term and relation extraction for medical question answering system
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Page 1. University of Groningen Automatic term and relation extraction for medical question answering system Fahmi, Ismail IMPORTANT NOTE: You are advised to consult the publishers version (publishers) if you wish to cite from it. Please check the document version below
Automatic question answering system
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Automatic answering of questions asked in natural language ( Question Answering , QA) is one of the most difficult tasks of natural language processing; It includes detecting anaphoras, knowledge of situational context and inference, using synonyms and overall
Towards Automatic Evaluation of Question / Answering Systems.
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This paper presents an innovative approach to the automatic evaluation of Question Answering systems. The methodology relies on the use of the Web, considered as an oracle containing all the information needed to check the relevance of a candidate answer
A turkish automatic question answering system with question multiplexing: Ben bilirim
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1 Research assistant, Ph.D., Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey 2 B.Sc. pursuing, Computer Engineering Department, Yildiz Technical University, Istanbul, Turkey 3 B.Sc. pursuing, Computer Engineering Department, Yildiz Technical
Automatic medical knowledge acquisition using question – answering .
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We aim at proposing a rule generation approach to automatically acquire structured rules that can be used in decision support systems for drug prescription. We apply a question – answering engine to answer specific information requests. The rule generation is seen as an
Automatic Multi-Layer Corpus Annotation for Evaluation Question Answering Methods: CBC4Kids
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Reading comprehension tests are receiving increased attention within the NLP community as a controlled test-bed for developing, evaluating and comparing robust question answering (NLQA) methods. To support this, we have enriched the MITRE CBC4Kids corpus
Rule extraction for automatic question answering based on structural clustering
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Automatic question answering (QA) is playing an increasingly important role in intelligent answer searching. Many approaches have been employed for retrieving answers to natural language questions with rule-based approach being one of them. Traditionally, rules for
Automatic discovery of intentions in text and its application to question answering
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Semantic relations between text concepts denote the core elements of lexical semantics. This paper presents a model for the automatic detection of INTENTION semantic relation. Our approach first identifies the syntactic patterns that encode intentions, then we select
Automatic detection of descriptive phrases for Question Answering System: A simple pattern matching approach
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The increasing interest in providing various information on the Web has heightened the need for a sophisticated search tool. Most existing information retrieval systems, however, merely provides documents, and this often leaves users to read a relatively large amount of
Automatic Evaluation of Question Answering System based on BE Method
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In this paper, we describe automatic evaluation method for question answering in natural language. This method is based on BEs (Basic Elements) originally proposed by Hovy et. al. for automatic evaluation of document summaries. We applied BE method for evaluation of
Towards automatic question answering over social media by learning question equivalence patterns
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Many questions submitted to Collaborative Question Answering (CQA) sites have been answered before. We propose an approach to automatically generating an answer to such questions based on automatically learning to identify equivalent questions. Our main
Automatic Question – Answering in the Aerospace Domain
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Page 1. Automatic Question Answering in the Aerospace Domain Jiangping Chen Anne R. Diekema Ozgur Yilmazel Elizabeth D. Liddy Center for Natural Language Processing School of Information Studies Syracuse University Page 2. Outline Background