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[PDF] Top 20 Instance Based Generation for Interactive Restricted Domain Question Answering Systems

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Instance Based Generation for Interactive Restricted Domain Question Answering Systems

Instance Based Generation for Interactive Restricted Domain Question Answering Systems

... language generation using a corpus was proposed ...chart based generation ...During generation, edges that are added to the chart are ranked depending on their distance to the closest ... See full document

12

Restricted Domain Question Answering System

Restricted Domain Question Answering System

... understanding systems were created. Generally, a good number of the question answering systems provide answers to factoid based ...QA systems like BASEBALL [9] and LUNAR [10] ... See full document

7

Answer planning based answer generation for cooking question answering system

Answer planning based answer generation for cooking question answering system

... the domain documents are annotated with function ...answer generation was proposed, By answer content planning, question-answer relationships were captured and the answer component can be extracted ... See full document

7

Question Answering in Restricted Domains: An Overview

Question Answering in Restricted Domains: An Overview

... powerful systems have participated in TREC and other evaluation fora such as CLEF 2 (Vallin et ...perspective, question answering focuses on finding text excerpts that contain the answer within large ... See full document

22

Instance Based Question Answering: A Data Driven Approach

Instance Based Question Answering: A Data Driven Approach

... as question classification, answer extrac- tion, and answer verification are beginning to be ad- dressed through statistical ...larger question-answer datasets (Girju et ...over, Question ... See full document

8

Neural Domain Adaptation for Biomedical Question Answering

Neural Domain Adaptation for Biomedical Question Answering

... Factoid question answering (QA) has re- cently benefited from the development of deep learning (DL) ...these systems have not yet been applied to QA in more specific domains, such as biomedicine, ... See full document

9

Reuse of Chinese Domain Ontology for the Restricted Domain Question Answering System

Reuse of Chinese Domain Ontology for the Restricted Domain Question Answering System

... of domain ontology for question answering system (QA) was formally defined, and the relations between ontology elements and semantic analysis of question and answer extraction were ...same ... See full document

7

Evaluation corpus for restricted-domain question-answering systems for the holy Quran

Evaluation corpus for restricted-domain question-answering systems for the holy Quran

... 90,000 question- answer pairs which make 29 million words of ...of question-answer pairs obtained from Knowledge Master ...trivia question and its corresponding answer, such as the ones used in the ... See full document

6

Interactive Instance based Evaluation of Knowledge Base Question Answering

Interactive Instance based Evaluation of Knowledge Base Question Answering

... output of each step is re-used in the next one. This approach has been exhibited by the most of the recent works on the KB QA (Berant and Liang, 2014; Reddy et al., 2016; Yih et al., 2015; Peng et al., 2017; Sorokin and ... See full document

6

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 English. However, TextWorld pro- vides approximately 500 human-written templates for describing rooms and ... See full document

18

APPROCHES FOR QUESTION ANSWERING SYSTEMS

APPROCHES FOR QUESTION ANSWERING SYSTEMS

... Question Answering (QA) system is a man machine communication ...QA systems in Natural Language Processing (NLP) is to provide correct responses to the questions in a human like manner giving short ... See full document

6

An Interactive System for Exploring Community Question Answering Forums

An Interactive System for Exploring Community Question Answering Forums

... user’s question, it presents the top relevant questions in a scrollable list view (see Figure 2, ...the question list view represents a question thread, showing the original question, the ... See full document

5

Domain agnostic Question Answering with Adversarial Training

Domain agnostic Question Answering with Adversarial Training

... We validate our adversarial model for MRQA Shared Task with 6 different out-of-domain datasets, which are BioASQ (BA) (Tsatsaronis et al., 2012), DROP (DP) (Dua et al., 2019), DuoRC (DR) (Saha et al., 2018), RACE ... See full document

7

Ranking and Sampling in Open Domain Question Answering

Ranking and Sampling in Open Domain Question Answering

... Our (RS, RK, MAX) model achieves better re- sults on most of the datasets compared to the base- lines. The main reason is that RS can select dis- tracting paragraph to train the reader, thereby pre- venting the reader ... See full document

10

A Terminological Simplification Transformation for Natural Language Question Answering Systems

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

11

Experiments with Open Domain Textual Question Answering

Experiments with Open Domain Textual Question Answering

... coling2k dvi Experiments with Open Domain Textual Question Answering Sanda M Harabagiu and Marius A Pa?sca and Steven J Maiorano Department of Computer Science and Engineering Southern Methodist Unive[.] ... See full document

7

Open Domain Voice Activated Question Answering

Open Domain Voice Activated Question Answering

... ????????? ??? ???????????????????????? ?"!#?$?%?'&)(+*,?' ? ?/???0?1?, 324??56???,7 8?9 ?;?94<=9?>@9?A?9?BDCFE?G?H?I?JK9 MLONDPF;'N3Q%9 R,SUT G?V?WYX S HZW\[?] ^?[`X T%a W S Vcbedgf S H?d S h H?fji S[.] ... See full document

7

Evaluation for Scenario Question Answering Systems

Evaluation for Scenario Question Answering Systems

... incorporate domain models and ontologies into the predicate matching system such that lexical predicate target verbs can be canonicalized into the (perhaps domain specific) events they ... See full document

6

A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries

A Comparative Study of Open Domain and Opinion Question Answering Systems for Factual and Opinionated Queries

... of question number 14) the OQA system retrieved more correct ...two systems. We believe this is due to the fact that question 18 was ambiguous as far as polarity of the opinions expressed in the ... See full document

5

Question Answering Systems Approaches and Challenges

Question Answering Systems Approaches and Challenges

... Wen-tau Yih, Ming-Wei Chang, Xiaodong He, and Jianfeng Gao. 2015. Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. In Proceedings of the 53rd Annual Meeting ... See full document

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