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[PDF] Top 20 Answer Extraction Techniquefor Question Answering Systems

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Answer Extraction Techniquefor Question Answering Systems

Answer Extraction Techniquefor Question Answering Systems

... an answer extraction module for Arabic Question Answering(QA) ...systems. Answer extraction (AE) module aims at returning only those passages of a document that exactly ... See full document

6

Towards Multi-Stream Question Answering Using Answer Validation

Towards Multi-Stream Question Answering Using Answer Validation

... an answer validation ...on answer redundancies nor on the stream ...QA systems which represent the current state for most non-English ...average answer accuracy is of 26% (please refer to ... See full document

10

Metadata Aware Measures for Answer Summarization in Community Question Answering

Metadata Aware Measures for Answer Summarization in Community Question Answering

... The properties that remain to be discussed, namely Coverage, Relevance and Novelty, are measures of semantic overlap between concepts; a concept is the smallest unit of meaning in a portion of written text. To represent ... See full document

10

Passage Retrieval Using Answer Type Profiles in Question Answering

Passage Retrieval Using Answer Type Profiles in Question Answering

... the answer from a massive collection of documents to a fixed number of passages (say top ...for answer extraction, cannot be answered correctly by any QA ...the answer to a question ... See full document

10

A Factoid Question Answering System Using Answer Pattern Matching

A Factoid Question Answering System Using Answer Pattern Matching

... the answer patterns that are learned from methods RawAT, StemmedAT and ...string answer pat- terns increases the ...of answer types blocks the extraction of most of the incorrect ... See full document

5

Denoising Distantly Supervised Open Domain Question Answering

Denoising Distantly Supervised Open Domain Question Answering

... for answer extraction with- out performance deterioration, while our+IR suf- fers from the significant performance degradation when decreasing the number of ...extract answer with a few informative ... See full document

10

Benchmarking Question Answering Systems | www.semantic-web-journal.net

Benchmarking Question Answering Systems | www.semantic-web-journal.net

... Like in other disciplines, QA researchers and practi- tioners require reliable test environments and compar- ison methods to step-up their development speed and lower entrance barriers. There has thus been a number of ... See full document

12

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans

An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans

... several answer- ing snippets, we treat each question and a snip- pet as a training sample which might often result in repeated questions with different snippets, ...a question, a unique snippet and ... See full document

7

APPROCHES FOR QUESTION ANSWERING SYSTEMS

APPROCHES FOR QUESTION ANSWERING SYSTEMS

... Question Answering (QA) system is a man machine communication ...QA systems in Natural Language Processing (NLP) is to provide correct responses to the questions in a human like manner giving short ... See full document

6

Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering

Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering

... community question answer- ing (CQA), which recognizes high-quality re- sponses to obtain useful question-answer pairs, is greatly valuable for knowledge base construc- tion and information ... See full document

6

Supervised attention for answer selection in community question answering

Supervised attention for answer selection in community question answering

... Top systems in the SemEval cQA campaign utilize classifiers with rich features, from depen- dency tree to text similarity, and other task-specific ...with question subject-body ... See full document

9

A Question Answering Approach for Emotion Cause Extraction

A Question Answering Approach for Emotion Cause Extraction

... cause extraction requires an understand- ing of a given piece of text in order to correctly identify the relation between the description of an event which causes an emotion and the expression of that emotion, it ... See full document

10

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

... visual answering of questions (VQA) with organized representations of both scene material and queries, using graphs over scene objects and query terms, and a deep neural network that exploits the structure in ... See full document

6

Entity Relation Extraction as Multi Turn Question Answering

Entity Relation Extraction as Multi Turn Question Answering

... ∇E(θ) ≈ [R(w) − b]∇ log π(y(w)|question s)) (3) where b denotes a baseline value. For each turn in the multi-turn QA setting, getting an answer correct leads to a reward of +1 . The final reward is the ac- ... See full document

11

Minimum Bayes Risk based Answer Re ranking for Question Answering

Minimum Bayes Risk based Answer Re ranking for Question Answering

... The remainder of this paper is organized as fol- lows: Section 2 gives a brief review of the QA task and describe two types of QA systems with differ- ent pros and cons. Section 3 presents two MBRAR approaches ... See full document

5

Dynamic and Multi Match Answer Selection Model for Automobile Question Answering

Dynamic and Multi Match Answer Selection Model for Automobile Question Answering

... Automatic question and answer as a key research content in natural language processing, involving a lot of technology, such as language model, sentence representation, similarity calculation, L2R, neural ... See full document

7

Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering

Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering

... the answer selection part, our approach requires knowl- edge of the answer type to the question in order to find candidate answers, and that the answer must be a NE for convenience in ... See full document

9

RankQA: Neural Question Answering with Answer Re Ranking

RankQA: Neural Question Answering with Answer Re Ranking

... neural question answering (QA) for narrative content is limited to a two-stage process: first, relevant text pas- sages are retrieved and, subsequently, a neural network for machine comprehension extracts ... See full document

10

Instance Based Generation for Interactive Restricted Domain Question Answering Systems

Instance Based Generation for Interactive Restricted Domain Question Answering Systems

... a Question-Answering system, components such as Named Entity Extraction, Question Classification, Chunking and so on may each add to the ... See full document

12

Question Answering Systems Approaches and Challenges

Question Answering Systems Approaches and Challenges

... KB-QA are generally classified into two types: Multi-Relation questions and Single-Relation questions. Multi-Relation questions measure the ability of the system to answer multi-constrained questions. According to ... See full document

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