[PDF] Top 20 Towards a “Natural” Language Question Answering Facility
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Towards a “Natural” Language Question Answering Facility
... Every phrase structure language has a description using a regular grammar and a context free semantics.. For every description D with an qnrestricted grammar and context sensitive semant[r] ... See full document
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IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering
... Task 2 (RQE): In the second task i.e. task of Recognising Question Entailment, we propose five runs. The results are shown in the Table 2. It is interesting to note the variation in accuracy for the different ... See full document
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1. Review: hindi question answering system using machine learning approach
... a question in a natural language user expects to get the answer in same ...this question is yes! Along with the advancements from last decades, we have entered a stage where effective ... 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 ...medical ... See full document
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Cognitive Functionality based Question Answering System
... uses natural language processing and semantic web to analyze and clas- sify ...open-domain question answering system took abode from end to end research by IBM Research in the year ...previous ... See full document
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Smart Health: Natural Language Processing based Question and Answering Retrieval System in Healthcare
... domain question answering systems deal with questions in a specific domain ...domain question answering systems deep reasoning is possible but the problem with these systems was that due to ... See full document
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A Terminological Simplification Transformation for Natural Language Question Answering Systems
... A Terminological Simplification Transformation for Natural Language Question Answering Systems 1 A Terminological Simplification Transformation for Natural Language Question Answering Systems 1 D a v[.] ... See full document
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Natural Language Generation at Scale: A Case Study for Open Domain Question Answering
... to Natural Language Generation (NLG) for dialog mainly focus on domain-specific, task-oriented applications ...open-domain question answering (QA) based on knowledge ... See full document
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UHop: An Unrestricted Hop Relation Extraction Framework for Knowledge Based Question Answering
... powerful natural language understanding models – HR BiLSTM and ABWIM – equipped with sophisticated LSTM models, whereas Neu- ral LP and MINERVA only use multi-layer neural networks as the policy ... See full document
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Evaluating Natural Language Understanding Services for Conversational Question Answering Systems
... on Natural Language Processing of the Asian Federation of Natural Lan- guage Processing, ACL 2015, July 26-31, 2015, Bei- jing, China, Volume 1: Long ... See full document
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Semantic Sentence Matching with Densely-Connected Recurrent and Co-Attentive Information
... Sentence matching is widely used in various natural language tasks such as natural language inference, paraphrase identifi- cation, and question answering. For these tasks, ... See full document
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A Terminological Simplification Transformation for Natural Language Question Answering Systems
... Third and finally, one of the actual simplification transformations is used to convert the expression to one of a simpler syntactic category... The contraction phase..[r] ... See full document
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A General Computational Treatment of Comparatives for Natural Language Question Answering
... For purposes of illustration, we shall consider the example sentences "List the cars at least 20 inches more than twice as long as the Century is wide" and "Have any US companies made at[r] ... See full document
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Learning Strategies for Open Domain Natural Language Question Answering
... We divided the Remedia corpus into a set of 55 tests used for development, and 60 tests used to evaluate our model, employing the same partition scheme as followed by the prior work mentioned above. With five questions ... See full document
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Evaluation of a layered approach to question answering over linked data
... describe natural concepts such as cat or dog (a so-called concept ...given natural language text t onto concept vectors: Each word w ∈ t is represented by the concept vector c(w) of the corresponding ... See full document
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Language Modeling for Document Selection in Question Answering
... the Question Answering do- main, for a question in natural language, precise answers to the question are ex- tracted from documents according only to the context of the ... See full document
5
Language Challenges for Data Fusion in Question-Answering
... a question analyzer and a search engine. Questions are submitted in natural language and are analyzed syntactically (identification of keywords) and semantically (disambiguation, focus, answer ... See full document
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Vision and Language Learning: From Image Captioning and Visual Question Answering towards Embodied Agents
... to natural language commands, intelligent surveillance and search systems for querying large image and video collections, language-based image and video editing software, and personal navigation ... See full document
159
Deep Learning Approaches to Text Production
... on natural language generation, understanding and structured ...various natural language applications such as question answering, paraphrase generation, semantic and syntactic ... See full document
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Similarity Based Language Model Construction for Voice Activated Open Domain Question Answering
... Another point is whether the noun replacement must be done before applying Misu’s method. We may be able to achieve the same effect by perform- ing noun replacement on the corpus obtained by Misu’s method only using the ... See full document
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