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[PDF] Top 20 Towards Natural Interactive Question Answering

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Towards Natural Interactive Question Answering

Towards Natural Interactive Question Answering

... the question ‘Who bought Mannesmann?’, as the former event is classed into the FrameNet frame S ELLING and the latter into B UYING which are related in the FrameNet hierarchy (together with the proper mapping of ... 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- cording ... See full document

5

An Interactive Web Interface for Visualizing the Inner Workings of the Question Answering LSTM

An Interactive Web Interface for Visualizing the Inner Workings of the Question Answering LSTM

... of question-answer pairs is loaded in either of two ways (denoted as D-I and ...ids), question (question text) and answer (candidate answer ... See full document

6

Recent Trends in Natural Language Question Answering Systems: A Survey

Recent Trends in Natural Language Question Answering Systems: A Survey

... Current information retrieval system or search engine can do just “document retrieval”, i.e. given some keywords it only returns the relevant ranked documents that contain these keywords. IR systems don't return answers, ... See full document

10

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 processing ... See full document

7

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

... involving natural language, due to its lin- guistic ...to natural language, and in- duce domain-specific rules from training ...ferent question answering tasks, showing that it outperforms two ... See full document

11

Towards a Unified Approach for Opinion Question Answering and Summarization

Towards a Unified Approach for Opinion Question Answering and Summarization

... in natural language. There- fore, Question Answering (QA) techniques must be applied in order to determine the information re- quired by the user and subsequently retrieve and analyze ... See full document

7

Combining Natural Logic and Shallow Reasoning for Question Answering

Combining Natural Logic and Shallow Reasoning for Question Answering

... We analyze some common types of errors made by the system on the training set. The most com- mon error can be attributed to the question requir- ing complex reasoning about multiple premises. 29 of 108 questions ... See full document

11

Reasoning-Driven Question-Answering For Natural Language Understanding

Reasoning-Driven Question-Answering For Natural Language Understanding

... In Chapter 8, we develop a theoretical formalism to investigate fundamental limitations pertaining to multi-step reasoning in the context of natural language problems. We present the first analysis of reasoning in ... See full document

214

Towards Logic-Based Question Answering under Time Constraints

Towards Logic-Based Question Answering under Time Constraints

... Question answering systems which extract precise an- swers to natural language questions from a given docu- ment collection have made rapid progress in recent ... See full document

6

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

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

Question-answering, relevance feedback and summarisation : TREC-9 interactive track report

Question-answering, relevance feedback and summarisation : TREC-9 interactive track report

... Relevance feedback was not popular amongst our searchers. As noted in the previous section searchers on the experimental system tended to enter new search terms rather than work with the modified query. We believe that ... See full document

10

Towards Multi-Stream Question Answering Using Answer Validation

Towards Multi-Stream Question Answering Using Answer Validation

... incorporating question answering (QA) facilities. This ex- tension seems natural but it is not straightforward since current QA systems still achieve poor performance rates for languages other than ... See full document

10

BioAMA: Towards an End to End BioMedical Question Answering System

BioAMA: Towards an End to End BioMedical Question Answering System

... the question type, these questions can not be simply classified by using word-level ...the question and the sentences in the documents is quite elemental to solving this ...a Natural Language Infer- ... See full document

9

QA3: a Natural Language Approach to Question Answering over RDF Data Cubes | www.semantic-web-journal.net

QA3: a Natural Language Approach to Question Answering over RDF Data Cubes | www.semantic-web-journal.net

... purpose question answering systems are required to ...the question has to contain all the elements needed to detect the dataset to be used, the measure to aggregate and the aggregation function, and ... See full document

18

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

8

Learning Strategies for Open Domain Natural Language Question Answering

Learning Strategies for Open Domain Natural Language Question Answering

... The first step in this procedure is to reformulate the question into a statement form. This results in a sentence containing an empty slot for the information being queried. Recall further that QABLe’s ... See full document

6

QUESTION ANSWERING SYSTEM WITH NATURAL LANGUAGE INTERFACE TO DATABASE

QUESTION ANSWERING SYSTEM WITH NATURAL LANGUAGE INTERFACE TO DATABASE

... identify question is the major task in the QA System. Because one question ask in many ways, but each question has same ...of question is the important task in this Question ... See full document

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