[PDF] Top 20 SVM Answer Selection for Open Domain Question Answering
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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[.] ... See full document
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A Comprehensive Resource to Evaluate Complex Open Domain Question Answering
... learning algorithms exploiting to the robustness of Support Vector Machines (SVMs) to irrelevant features (Vapnik, 1995). More recent work, e.g. (Shen and Lapata, 2007) has shown that shallow semantic information in the ... See full document
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Multi Hop Paragraph Retrieval for Open Domain Question Answering
... the question. This sit- uation becomes even more difficult in the open- domain setting, where one must first find an initial evidence paragraph in order to be able to retrieve the ...the ... See full document
14
FriendsQA: Open Domain Question Answering on TV Show Transcripts
... Every question must be an- swerable; in other words, there needs to be at least one contiguous answer span in the ...one answer span per question if ...the answer because the other ... See full document
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Learning Unsupervised SVM Classifier for Answer Selection in Web Question Answering
... on answer selection in QA can be classified into four ...correct answer from the candidates according to the distance be- tween a candidate and all question ...the question and the ... See full document
9
A Long Short Term Memory Model for Answer Sentence Selection in Question Answering
... In this paper, we present an approach that address the answer sentence selection problem for question answering. The pro- posed method uses a stacked bidirectional Long-Short Term Memory ... See full document
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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
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Careful Selection of Knowledge to Solve Open Book Question Answering
... based question answering (NLQA) not only involves linguistic understand- ing, but often involves reasoning with various kinds of ...human question answering settings. One such setting is ... See full document
10
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 ... See full document
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Training a Ranking Function for Open Domain Question Answering
... the question (Table ...truth answer is missing in the ...truth answer, they are not semantically similar to the ...in question with words in the paragraph, and does not have information about ... See full document
8
End to End Open Domain Question Answering with BERTserini
... We adopt exactly the same evaluation methodol- ogy as Chen et al. (2017), which was also used in subsequent work. Test questions come from the development set of SQuAD; since our answers come from different texts, we ... See full document
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RECIPE: Applying Open Domain Question Answering to Privacy Policies
... Open domain question answering approaches of- fer a promising glimpse into a future in which ma- chines are able to perform sophisticated cognitive tasks on behalf of a ...for answering ... See full document
7
Learning Strategies for Open Domain Natural Language Question Answering
... and question, into a world state containing an appropriate ...learning answer- generation ...the answer-generation ...to answer questions is tested only with respect to the kinds of documents ... See full document
6
Methods for Using Textual Entailment in Open Domain Question Answering
... most open-domain Q/A systems generally consist of a sequence of three modules: (1) a question processing (QP) module; (2) a passage retrieval (PR) module; and (3) an answer processing (AP) ... See full document
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XQA: A Cross lingual Open domain Question Answering Dataset
... Open-domain question answering (OpenQA) aims to answer questions through text retrieval and reading ...the question set of the target language ... See full document
11
Latent Retrieval for Weakly Supervised Open Domain Question Answering
... lematic. Question writing is not motivated by an information ...the question that would not be present in natu- rally occurring questions, as shown in the exam- ples in Table ...the question askers ... See full document
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HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering
... with open-domain question answer- ing ...the answer span are included in the data collection; 2) multiple answer spans may exist within one given paragraph; 3) the end pos- ition ... See full document
8
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
... between question and an- ...between question and answer than other ...than SVM and CRF, especially for complicate answers ...contrast, SVM and CRF using a large amount of features ... See full document
6
Question Condensing Networks for Answer Selection in Community Question Answering
... We use the tokenizer from NLTK (Bird, 2006) to preprocess each sentence. All word embed- dings in the sentence encoder layer are initial- ized with the 300-dimensional GloVe (Pennington et al., 2014) word vectors trained ... See full document
10
A Probabilistic Framework for Answer Selection in Question Answering
... to answer selection using a single ...the SVM extractor: a 242% improvement over the ...cause SVM tended to produce several answer can- didates with the same or very similar confidence ... See full document
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