[PDF] Top 20 Neural Arabic Question Answering
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Neural Arabic Question Answering
... designing neural MRC models that read and extract answers from short paragraphs; we selected two of the best performing models on the SQuAD dataset (Rajpurkar et ...attention-based neural network, and the ... See full document
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Question Answering over Freebase with Multi Column Convolutional Neural Networks
... using question-answer pairs, instead of annotated logical forms of ques- tions, as weak training signals (Liang et ...the question and these candidates to rank ...of question word embeddings to ... See full document
10
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering
... given question, we ex- tract potentially relevant information, ...Finally, question, answer candidates and support- ing evidence are given as input to the EviNets neu- ral ... See full document
6
Search based Neural Structured Learning for Sequential Question Answering
... the question “Which super heroes came from Earth and first appeared after 2009?” is “Se- lect Character Where {Home World = Earth } ∧ {First Appeared > 2009}” and the answers are {Dragonwing, ... See full document
11
Learning Semantic Relatedness in Community Question Answering Using Neural Models
... Community Question Answering forums, such as Quora and Stackoverflow contain millions of questions and ...new question are Natural Language Processing ...a neural-based model with stacked ... See full document
11
Question Generation for Question Answering
... using neural networks, where large scale QA pairs are automatically crawled and processed from Community-QA website, and used as training ...of question generation approaches are proposed, one is a ... See full document
9
Improved Neural Relation Detection for Knowledge Base Question Answering
... Analysis Next, we present empirical evidences, which show why our HR-BiLSTM model achieves the best scores. We use WebQSP for the analy- sis purposes. First, we have the hypothesis that training of the weighted-sum model ... See full document
11
Neural Attention for Learning to Rank Questions in Community Question Answering
... of neural models for answer selec- tion (Severyn and Moschitti, 2015; Tan et ...and question similarity (dos Santos et ...a neural attention model for machine trans- lation and showed that the ... See full document
12
Applying deep matching networks to Chinese medical question answering: a study and a dataset
... TextRank [15] algorithm to the re-ranking of candidates. His data were crawled from the web and not publicly available. The method was based on words and suffered from Chinese word segmentation failure in some cases. ... See full document
10
Enhancing Key Value Memory Neural Networks for Knowledge Based Question Answering
... To further examine our model under different con- ditions, besides WebQuestions, we also evaluate our main model on the QALD-4 dataset [Unger et al.], which is built upon another KB, DBpe- dia [Auer et al., 2007]. Like ... See full document
11
Learning to Paraphrase for Question Answering
... to question an- ...of neural question answering models (Bordes et ...on question-answer pairs, and em- ploy question paraphrases in a multi-task learning framework in an attempt ... See full document
12
Answer Sequence Learning with Neural Networks for Answer Selection in Community Question Answering
... convolutional neural networks (CNNs) based sen- tence representation models have achieved suc- cesses in neural language processing (NLP) ...a question from Q&A archives via means of distributed ... See full document
6
CFO: Conditional Focused Neural Question Answering with Large scale Knowledge Bases
... As discussed in section 3.2, N-Gram pruning is still subject to large amount of noise in inference due to many non-subject-mention n-grams. Moti- vated by this problem, we propose to reduce such noise by focusing on more ... See full document
11
Using Arabic Numbers (Singular, Dual, and Plurals) Patterns To Enhance Question Answering System Results
... is Arabic light stemmer (ARS) (Al-Omari & Abuata, 2014), this study explains the two ways of reduces tokens in documents which are stemming and stop word, there are two types of stemming light(prefix and ... See full document
12
Uncovering Code Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
... For CMQG task, we require the input question to be in Hindi. We use the manually created Hindi questions obtained from the Hindi-English ques- tion answering dataset (Gupta et al., 2018b). We generate the ... See full document
12
Answer Selection in Arabic Community Question Answering: A Feature Rich Approach
... Community Question Answering (cQA) platforms have become an important resource of punctual in- formation for users on the ...a question on a specific topic and other users post their answers with ... See full document
8
A text mining approach for Arabic question answering systems
... a question) of up to 59% and a redundancy (average of the number of the passages returned for a question) of ...an Arabic FBQA system was presented by Kanaan et ... See full document
169
Learning to Compose Neural Networks for Question Answering
... for answering questions about a variety of world representations, including images and struc- tured knowledge ...assembled neural net- works, then applies these networks to world rep- resentations (images ... See full document
10
Neural Domain Adaptation for Biomedical Question Answering
... Traditional Question Answering Traditional factoid and list question answering pipelines can be subdivided into named-entity recognition, question classification, and answer processing ... See full document
9
A discourse based approach for Arabic question answering
... of Arabic RST-analyzed texts ...the Arabic Language. We carried out a regression test on a set of Arabic texts; these are full articles extracted from the contemporary Arabic corpus 2 ... See full document
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