[PDF] Top 20 Answer Selection in Arabic Community Question Answering: A Feature Rich Approach
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Answer Selection in Arabic Community Question Answering: A Feature Rich Approach
... We train a simple support vector machine (SVM) linear classifier (Joachims, 1999) on pairs of ques- tions and comments. We opt for this alternative because it allowed us to get the best performance during the SemEval ... See full document
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It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering
... of answering new questions in community forums, by selecting suitable answers to already asked ...We approach the task as an answer ranking problem, adopting a pairwise neural network ... See full document
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Hand in Glove: Deep Feature Fusion Network Architectures for Answer Quality Prediction in Community Question Answering
... an answer in a cQA ...predicting answer quality. (Dalip et al., 2013) propose a learning to rank approach for AQP using eight different groups of ...high answer quality rating as rated by ... See full document
12
A Long Short Term Memory Model for Answer Sentence Selection in Question Answering
... an approach that address the answer sentence selection problem for question ...from question and answer sentences, and then outputs their relevance ...this approach does ... See full document
6
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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Neural Arabic Question Answering
... Second, modern open-domain QA systems are generally composed of two parts: a retriever that obtains relevant segments of text, and a machine reading comprehension (MRC) model that ex- tracts the answer from the ... See full document
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A discourse based approach for Arabic question answering
... non-factoid question including “why” and “how” questions for the Japanese language (Shima and Mitamura, ...The answer candidate ranker obtained MRR of ...an answer ranking engine for “how to” ...the ... See full document
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A text mining approach for Arabic question answering systems
... various rich linguistic features into text-level discourse parsing, for example, semantic similarities, verb classes, cue phrases, production rules and contextual features that encode the discourse relations ... See full document
169
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
... identify answer contents of a question from Q&A archives via means of distributed rep- ...capture rich matching patterns be- tween two language ... See full document
6
Question Condensing Networks for Answer Selection in Community Question Answering
... propose Question Condensing Networks (QCN), an attention-based model that can utilize the subject-body relationship in community ques- tions to condense question ...the question body can be ... See full document
10
A Probabilistic Framework for Answer Selection in Question Answering
... As answer candidates are long text snippets, different features should be used for answer ...include question keyword inclusion and predicate structure match (Nyberg et ...the question “Did ... See full document
8
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
Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering
... ultimately re-rank a list of candidate facts from KB (Bordes et al. 2015; Wenpeng et al. 2016; Hao et al. 2017). Contrary to answer selection, some recent studies integrate word or context information to ... See full document
8
Multi Dimensional Feature Merger for Question Answering
... the question can reasonably be expected to be in documents that describe the respective answer ...existing question answering systems which make the aforementioned ...the question in ... See full document
16
Question Analysis and Answer Passage Retrieval for Opinion Question Answering Systems
... the answer passage ...To answer an opinion question, all answer passages have to be retrieved for opinion polarity ...all answer passages, sentence fragments and meaningful units which ... See full document
20
Answer Extraction Techniquefor Question Answering Systems
... the Answer Extraction component should be able to deal with unstructured text, it needs an efficient tokeniser, and some method of dealing with ambiguities, a module that can even have the ability to analyze the ... See full document
6
Answer planning based answer generation for cooking question answering system
... corresponding answer should be the main ingredients or the condiments of a ...the answer includes the dish recommendations according to the raw material or cooking ...the answer of this type should ... See full document
7
RankQA: Neural Question Answering with Answer Re Ranking
... In order to demonstrate the robustness of an- swer re-ranking across different implementations, we repeat experiments from above based on the BERT-QA system. The results are shown in Tbl. 3. The first row displays the ... See full document
10
A Nil Aware Answer Extraction Framework for Question Answering
... Tables 2 and 3 compare results of the nil-aware an- swer span extractor models with several pipeline and threshold-based models, respectively. We also include the results of four standalone answer span extraction ... See full document
10
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 have ... See full document
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