[PDF] Top 20 Linguistically Based Deep Unstructured Question Answering
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Linguistically Based Deep Unstructured Question Answering
... new linguistically- based approach to answering non-factoid open-domain questions from unstructured ...encoding based on which we in- troduce a deep end-to-end neural ...a ... See full document
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LDA Based Similarity Modeling for Question Answering
... new path for each passage through the tree and as- signing each word in each passage to a topic along that path. The structure of tree is learnt along with the topics using a nested Chinese restaurant process (nCRP) ... See full document
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Asking Clarification Questions in Knowledge Based Question Answering
... Clarification Identification. As shown in Ta- ble 7, the structured models have the best perfor- mance, with a 86.6% accuracy on single-turn cases and a 80.5% accuracy on multi-turn cases. Com- pared to the ... See full document
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Linguistically Motivated Question Classification
... a question in- terpretation module designed as a part of a Question Answering Dialogue System (QADS) which is used for an interactive quiz ...application. Question interpretation is achieved ... See full document
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Cognitive Functionality based Question Answering System
... functionality based Question Answering System is log- ically used to ask query for any real word situation and advance the knowledge which is a straight tactic for the users to obtain the information ... See full document
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Toward Data Driven Tutorial Question Answering with Deep Learning Conversational Models
... Question answering in dialogue is a central con- cern for designing the next generation of dialogue ...open question is how to build data-driven systems for specific ... See full document
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Applying deep matching networks to Chinese medical question answering: a study and a dataset
... vectors based on incorrect word segmentation results may harm the per- formance and Zhang et ...words. Based on this phenomenon, we discover that MV-LSTM should use finer inputs since it fails to cluster ... See full document
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A Deep Reinforcement Learning Based Multi-Step Coarse to Fine Question Answering (MSCQA) System
... Narasimhan, K.; Kulkarni, T.; and Barzilay, R. 2015. Lan- guage understanding for text-based games using deep rein- forcement learning. arXiv preprint arXiv:1506.08941. Narasimhan, K.; Yala, A.; and ... See full document
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Contextualized Question Answering
... M ARKO G ROBELNIK is an expert in analysis of large amounts of complex data for extracting useful knowledge. In particular, the areas of exper- tise comprise: data mining, text mining, information extraction, link ... See full document
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Instance Based Generation for Interactive Restricted Domain Question Answering Systems
... In our case, however, a template-based approach is unrealistic. This is due to the unstructured back-end application. Unlike as spoken dialogue systems, we cannot make assumptions over what kind of ... See full document
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Arabic Question Answering: A Study on Challenges, Systems, and Techniques
... and unstructured data. It began by defining the different types of Question Answering Systems, presenting the general architecture for QAS on structured as well as unstructured ...building ... See full document
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Uncovering Code Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
... CMQA datasets contain the words both in Roman script and English. For English, we use the fast- Text (Bojanowski et al., 2016) word embedding of dimension 300. We use the Hindi sentences from Bojar et al. (2014), and ... See full document
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Evolution of Techniques for Question Answering over Knowledge Base: A Survey
... of question answering system on test set of Remedia Corpus ...the deep read system ...sentence question comparison and voting is done. Text with highest scores based on the number of ... See full document
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Joint Relational Embeddings for Knowledge based Question Answering
... Knowledge-based question answering (KB-QA) involves answering questions posed in natural language (NL) using existing knowledge bases ...input question into its corre- sponding ... See full document
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A semantic graph based topic model for question retrieval in community question answering
... Community Question Answering (CQA) services, such as Yahoo! Answers and WikiAnswers, have become popular with users as one of the central paradigms for satisfying users’ information ...of question ... See full document
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Question Answering over Structured Data: an Entailment-Based Approach to Question Analysis
... 1. All the configurations of the system significantly outperform the baseline (LCS), showing that distance- based algorithms are more suitable to capture entail- ment relations than simple word matching ... See full document
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Question Analysis for Polish Question Answering
... a question model has been ...a question analysis module for the Polish question answering ...correct question type is to combine pattern matching with the WordNet-aided focus ... See full document
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ANU CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge
... and question entailment in the medical do- main for the ACL BioNLP 2019 Shared Task, ...text. Question entailment involves iden- tifying pairs of questions which have similar semantic ...and question ... See full document
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Instance Based Question Answering: A Data Driven Approach
... large question- answer datasets, we propose a principled, data- driven Instance-Based approach to Question An- ...Most question answering systems incor- porate three major steps: ... See full document
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Semantics based Graph Approach to Complex Question Answering
... for answering different types of complex ...arithmetic question- ...for answering arithmetic ...complex question-answering, numerous challenges still remain, not only in the sub-domain ... See full document
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