Question Retrieval
Learning Continuous Word Embedding with Metadata for Question Retrieval in Community Question Answering
... This paper proposes to learn continuous vector representations for question retrieval in cQA. We firstly introduce a new metadata powered word embedding method, called M-NET, to leverage the category ...
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Learning the Latent Topics for Question Retrieval in Community QA
... Community-based Question Answering (cQA) is a popular online service where users can ask and answer questions on any ...of question retrieval. Ques- tion retrieval in cQA aims to find histori- ...
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Group Non negative Matrix Factorization with Natural Categories for Question Retrieval in Community Question Answer Archives
... Each question in CQA is specified by its category label, category-specific topics, as well as shared ...large-scale question retrieval problem can be decomposed into small-scale ...the ...
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Diversifying Information Needs in Results of Question Retrieval
... of question retrieval in term of types of information ...a question hierarchy is leveraged to represent users’ information needs cognitively from three linguistic ...of question types, three ...
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Semi supervised Question Retrieval with Gated Convolutions
... second question in Figure 1 about a closely re- lated ...for question retrieval restrict attention to the question title ...the question body. For example, the title of the second ...
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Phrase Based Translation Model for Question Retrieval in Community Question Answer Archives
... Community-based question answer (Q&A) has become an important issue due to the pop- ularity of Q&A archives on the ...tion retrieval. Question retrieval in Q&A archives aims to ...
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A semantic graph based topic model for question retrieval in community question answering
... and question answering [5], the feasibility and ef- fectiveness of such knowledge-rich approaches in topic mod- elling and question retrieval are mostly ...
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The Use of Dependency Relation Graph to Enhance the Term Weighting in Question Retrieval
... However, question retrieval is not a trivial task (Wang et ...for question retrieval in large QA database and achieved significant retrieval ...similar question matching problem ...
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Question Retrieval with Distributed Representations and Participant Reputation in Community Question Answering
... for question retrieval on community Q&A data (Ponte & Croft, 1998; Song & Croft, 1999; Zhai & Lafferty, ...information retrieval tasks (Ponte & Croft, 1998; Song & Croft, ...
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Statistical Machine Translation Improves Question Retrieval in Community Question Answering via Matrix Factorization
... Note that Wang et al. (2009) also addressed the word mismatch problem for question retrieval by using syntactic tree matching. We do not compare with Wang et al. (2009) in Table 3 because pre- vious work ...
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Exploiting Bilingual Translation for Question Retrieval in Community Based Question Answering
... the question retrieval task as a sta- tistical machine translation problem by using IBM model 1 (Brown et ...for question and answer ...a question could be available, thereby leading to ...
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Together we stand: Siamese Networks for Similar Question Retrieval
... a question does not get immediate answer from any ...the question may take several hours and sometimes days to get sat- isfactory answers or may not get answered at ...similar question is found in ...
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Exploiting Salient Patterns for Question Detection and Question Retrieval in Community based Question Answering
... trivial. Question sentences in cQA are usually mixed with various description sentences, and they usually employ informal languages, where standard features such as question mark or ut- terance are likely ...
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Machine Learning Approach for Question Answering in Information Retrieval
... (Community Question Answering) is a major challenge nowadays due to the popularity and advantages of CQA archives over the ...in question retrieval and providing multiple domain based CQA ...of ...
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Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning
... Triplet loss, a standard baseline for learning- to-rank setting, tends to overfit to noisy examples in training. To deal with this issue, we designed a new loss function inspired by label smooth- ing, which assigns a ...
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Multi Hop Paragraph Retrieval for Open Domain Question Answering
... Multi-Hop Retrieval In contrast to the single- hop case, there are types of questions whose an- swers can only be inferred by using at least two different ...the question at hand and the information in the ...
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Latent Retrieval for Weakly Supervised Open Domain Question Answering
... domain question answer- ing (QA) assumes strong supervision of the supporting evidence and/or assumes a black- box information retrieval (IR) system to re- trieve evidence ...from question-answer ...
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Different Facets of Text Based Automated Question Answering System
... Research and development in the field of systems capable of answering questions in natural language started with one of the earliest and best known Artificial Intelligence (AI) dialogue systems as Weizenbaum’s ELIZA [2]. ...
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Passage Retrieval Using Answer Type Profiles in Question Answering
... Lemur, a language modeling toolkit provides the implementation of all the above retrieval models. Parameters in all these models were set to default values as provided by the toolkit. Lemur as such does not ...
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Is Question Answering Better than Information Retrieval? Towards a Task Based Evaluation Framework for Question Series
... In the previous two sections, factoid and “other” questions were examined in isolation, which ignores their complementary role in supplying information about a target. To provide a more complete pic- ture of system ...
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