[PDF] Top 20 Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
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Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
... between question and an- ...between question and answer than other ...deep learning perform more powerful than SVM and CRF, especially for complicate answers ...between question and ... See full document
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Learning to Compose Neural Networks for Question Answering
... tion answering, in which strings are mapped to log- ical forms, then evaluated by a black-box execu- tion model to produce ...(world, question, answer) triples alone (Liang et ...in learning a ... See full document
10
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, ... See full document
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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
... Answer Selection Neural networks based models has been proven effective in answer selection task, ...tional neural network (CNN) (Severyn and Moschitti 2015) and recurrent ... See full document
8
Inner Attention based Recurrent Neural Networks for Answer Selection
... the question attention to adjust word representation ...the answer directly, and then we use RNN to model the attentive word ...one answer candidate is: He likes hot dog ...the question by ... See full document
10
A Long Short Term Memory Model for Answer Sentence Selection in Question Answering
... deep learning neural networks to question ...on answering single-relation fac- tual questions by a semantic similarity model us- ing convolutional neural ...of question ... See full document
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RelTextRank: An Open Source Framework for Building Relational Syntactic Semantic Text Pair Representations
... e.g., answer sentence selection (AS) and community question answering (cQA), has stud- ied a number of structures for representing text pairs along with their relational links, which ... See full document
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Question Condensing Networks for Answer Selection in Community Question Answering
... Answer selection is an important subtask of community question answering ...a question is often represented as two parts: a sub- ject that summarizes the main points of the ... See full document
10
Answer Selection in Arabic Community Question Answering: A Feature Rich Approach
... tionally, the word [1,2]-grams themselves were considered as features. They applied a logistic re- gressor to rank the comments and label the top an- swer as DIRECT , the next one as RELATED and the remaining as ... See full document
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Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
... consistently improves the performance. With only a discrim- inative model, MAP is increased from 14.67 to 14.80. With adversarial training, MAP is increased from 17.25 to 17.91. With adversarial training, both our ... See full document
8
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... Most of the research on QA systems has been developed for factual questions, and the association of subjective information with question answering has not yet been studied much. As for subjective ... See full document
20
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... Question answering systems provide an elegant way for people to access an underlying knowledge ...with question analysis and answer passage retrieval in opinion QA ...For question ... See full document
13
Retrieving Relevant Answer from Large Questions- Answer Dataset by Using Semantic Analysis and Natural Language Processing
... Question Answering(QA) application is designed based on the technique from informationretrieval and natural language processing (NLP), which arerelated to developed systems that automatically ... See full document
9
Using Wikipedia and Semantic Resources to Find Answer Types and Appropriate Answer Candidate Sets in Question Answering
... an answer type from a question focus is to identify a Wikipedia category title by maximum matching ...expected answer type will be referred to as Wikipedia-category answer type (WKtype) ... See full document
10
Open Domain Why Question Answering with Adversarial Learning to Encode Answer Texts
... top-20 answer passages (17,000 question-passage pairs) obtained from 600 million Japanese web pages using the answer- retrieval method of Murata et ...a question-passage pair is composed of a ... See full document
11
A Nil Aware Answer Extraction Framework for Question Answering
... with question in sur- face, lowercase, and lemma ...The question vector formula- tion in DrQA is performed by applying a stack of BilSTMs on question ... See full document
10
Language independent Probabilistic Answer Ranking for Question Answering
... pact of the ontology was more positive for Japanese; we assume that this is because the Chinese ontol- ogy (HowNet) contains much less information over- all than the Japanese ontology (Gengo GoiTaikei). The comparative ... See full document
8
A Factoid Question Answering System Using Answer Pattern Matching
... the question answering systems used Natural Language Processing (NLP) tools such as a natu- ral language parser and WordNet (Fellbaum, ...factoid question an- swering. Our factoid question ... See full document
5
Passage Retrieval Using Answer Type Profiles in Question Answering
... using answer type ...and answer judgements provided by NIST for these ...The answer judgments consist of answer patterns and document ids in which they ...the answer pattern must occur ... See full document
10
Image Question Answering: A Review
... deep learning architectures have been used for the VQA ...every question inquires about specifics of different regions in the ...The answer generation module in these models have ... See full document
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