Answer selection
Improving Answer Selection and Answer Triggering using Hard Negatives
... network Selection-based QA. These networks are learned by posing answer selection as ei- ther a ranking problem or a classification prob- ...correct answer and a (usually sam- pled) negative ...
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Representation Learning for Answer Selection with LSTM Based Importance Weighting
... Answer selection is an important subtask of question answering (QA) that enables choosing one final answer from a list of candidate answers in regard to the input question (Feng et ...complex ...
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Hierarchical Memory Networks for Answer Selection on Unknown Words
... In our experiments, the most of hyper parameters are set uniformly for the datasets as described in Table 3. The training gradients with an l2 norm larger than 40 are clipped to 40 and the learning rate is annealed every ...
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Supervised attention for answer selection in community question answering
... Answer selection is an important task in community Question Answering (cQA). In recent years, attention-based neural networks have been extensively studied in various natural language processing problems, ...
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Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
... Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) ...tackle answer selection and KBQA tasks simultaneously via multi-task ...
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Dynamic and Multi Match Answer Selection Model for Automobile Question Answering
... the answer list is matched, and the answers are ranked and the answers are scored to return the answers with the highest ...the answer list, which is called the Answer ...
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Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
... the answer from ...the answer, hence put great demands on the precisions of both ...and answer selection models can be learned in a joint ...single-token answer can- didates and then ...
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Answer Selection in Arabic Community Question Answering: A Feature Rich Approach
... of answer selection in community ques- tion answering consists of identifying pertinent answers from a pool of user-generated comments related to a ...of answer selection in ...
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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 ...
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Question Condensing Networks for Answer Selection in Community Question Answering
... Answer selection is an important subtask of community question answering ...on answer selection usually ignored the difference between these two parts and concatenated them as the question ...
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A Gated Self attention Memory Network for Answer Selection
... Answer selection is an important research problem, with applications in many areas. Pre- vious deep learning based approaches for the task mainly adopt the Compare-Aggregate ar- chitecture that performs ...
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FastHybrid: A Hybrid Model for Efficient Answer Selection
... Answer selection is a core component in any question-answering systems. It aims to select cor- rect answer sentences for a given question from a pool of candidate sentences. In recent years, many ...
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Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
... on answer selection generally treat- ed this challenge as a classification problem via employing machine learning methods, which re- ly on exploring various features to represent QA ...the answer ...
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Preferred Answer Selection in Stack Overflow: Better Text Representations and Metadata, Metadata, Metadata
... in answer retrieval from these kinds of ...text-based answer selection alone, and by making use of complementary meta- data, achieves a substantially higher result over two reference datasets novel ...
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COALA: A Neural Coverage-Based Approach for Long Answer Selection with Small Data
... relevant answer selection datasets, is the compare-aggregate variant by Wang and Jiang ...and answer using either LSTM (for SNLI) or a gated importance-weighted representation of words; (2) ...
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A Probabilistic Framework for Answer Selection in Question Answering
... For answer selec- tion, we used three gazetteer resources: the Tipster Gazetteer, the CIA World Factbook ...an answer validity score between -1 and 1 to each candidate (Figure ...the answer ...
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Inner Attention based Recurrent Neural Networks for Answer Selection
... Many recent works show that attention techniques can improve the performance of machine learning models (Mnih et al., 2014; Zheng et al., 2015). In attention based models, one representation is built with attention (or ...
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Learning Analogy Preserving Sentence Embeddings for Answer Selection
... Answer selection aims at identifying the cor- rect answer for a given question from a set of potentially correct ...its answer, our hypothesis is that question-answer pairs are often in ...
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Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
... an answer is written by the author of the question; whether the author of an answer is active in the thread), while our method only relies on textual ...
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SVM Answer Selection for Open Domain Question Answering
... ????? ????? ??? ??????????????????????? ???? ???"!$#%??&(')??? *,+?? ? ????? ??????? ??? /???"0 132547652?8925 ?;?<3=?25>@?A ?,65?/BC?A ?;?< ?A45D7E";FBC?A ?2HGI?AJKD?? LNMOMQPSRUTVTXWAYAZ\[@] ^$Z`RUY[.] ...
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