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[PDF] Top 20 Natural Language Understanding and the Perspectives of Question Answering

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Natural Language Understanding and the Perspectives of Question Answering

Natural Language Understanding and the Perspectives of Question Answering

... NATURAL LANGUAGE UNDERSTANDING AND THE PERSPECTIVES OF QUESTION ANSWERING COLING 82, J Horeclo) (ed ) North Holland Publishing Company @ Aeodcm~ 1982 NATURAL LANGUAGE UNDERSTANDING AND THE PERSPECTIVE[.] ... See full document

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Evaluating Natural Language Understanding Services for Conversational Question Answering Systems

Evaluating Natural Language Understanding Services for Conversational Question Answering Systems

... For the generation of the annotated, final cor- pus, only submissions with a confidence level of “undecided” or higher were taken into account. A label, no matter if intent or entity, was only added to the corpus if the ... See full document

12

Reasoning-Driven Question-Answering For Natural Language Understanding

Reasoning-Driven Question-Answering For Natural Language Understanding

... Chapter 3 studies reasoning systems for question answering on elementary-school science exams, using a semi-structured knowledge base. We treat QA as a subgraph selection problem and then formulate this as ... See full document

214

The Web as a Resource for Question Answering: Perspectives and Challenges

The Web as a Resource for Question Answering: Perspectives and Challenges

... true natural language processing to ...Web-driven question answering system once returned “Steven Spielberg” to the question “Who is the prime minister of Israel,” from the perfectly ... See full document

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UHop: An Unrestricted Hop Relation Extraction Framework for Knowledge Based Question Answering

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

12

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering

... multi-task language models (MT-DNN) and en- semble ...multi-task language models for transfer learning for natural language understanding ... See full document

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													Review: hindi question answering system using machine learning approach

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

5

IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering

IITP at MEDIQA 2019: Systems Report for Natural Language Inference, Question Entailment and Question Answering

... i. Natural Language In- ference (NLI) ii. Recognizing Question En- tailment(RQE) and their application in medi- cal Question Answering ... See full document

6

Natural Language Question Answering and Analytics for Diverse and Interlinked Datasets

Natural Language Question Answering and Analytics for Diverse and Interlinked Datasets

... Early Natural Language Interfaces (NLIs) re- quired a handcrafted interface solution for each database thereby restricting its portability (Green et ...complete question by providing suggestions ac- ... See full document

5

Learning Strategies for Open Domain Natural Language Question Answering

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

6

A Terminological Simplification Transformation for Natural Language Question Answering Systems

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

6

A General Computational Treatment of Comparatives for Natural Language Question Answering

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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Smart Health: Natural Language Processing based Question and Answering Retrieval System in Healthcare

Smart Health: Natural Language Processing based Question and Answering Retrieval System in Healthcare

... the question responsive system is that the Patients simply ought to enter the question and therefore the system can retrieve the foremost acceptable and precise declare that question and come it to ... See full document

11

Natural Language Generation at Scale: A Case Study for Open Domain Question Answering

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

10

Interactive Language Learning by Question Answering

Interactive Language Learning by Question Answering

... Templated Language: As QAit is based on TextWorld, it has the obvious limitation of us- ing templated ...full natural language, on which we can isolate the learning of useful behaviors like infor- ... See full document

18

Towards Natural Interactive Question Answering

Towards Natural Interactive Question Answering

... We will not be concerned here with more advanced ques- tions that arise in developing a full-scale dialogue system for QA. Research in cooperative human-machine dialogue has shown that ‘real’ dialogue has a large number ... See full document

6

ANU CSIRO at MEDIQA 2019: Question Answering Using Deep Contextual Knowledge

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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QUESTION ANSWERING SYSTEM WITH NATURAL LANGUAGE INTERFACE TO DATABASE

QUESTION ANSWERING SYSTEM WITH NATURAL LANGUAGE INTERFACE TO DATABASE

... The future extension of this system is to implement a Telugu Interface system using Syntax and semantic approaches. Telugu is highly inflected with morphology, develop such a stemming algorithms without inflecting to the ... See full document

9

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

Evolution of Techniques for Question Answering over Knowledge Base: A Survey

... of natural language strings to automatically assemble neural networks from a collection of composable ...for question answering [52], where an iterative procedure involving fusion of ... See full document

6

Islamic Applications of Automatic Question-Answering

Islamic Applications of Automatic Question-Answering

... a question answering system aims to extract the exact ...A question answering system involves the process of accepting a NL (Natural Language) question, analyzing, and ... See full document

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