A Study on the Dialogue-based Question Answering System: Focusing on Error Recovery : 대화 기반 질의응답 시스템에 관한 연구: 오류 회복을 중심으로

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dc.description학위논문 (석사)-- 서울대학교 대학원 : 인문대학 협동과정 인지과학전공, 2018. 8. 김홍기.-
dc.description.abstractQuestion answering systems are a computer system that assists a persons cognitive activity by providing a direct answer to the persons question. However, they lack communication abilities, which limits the task of question answering to simply querying the dataset. There are two reasons why question answering systems do not develop into further communication although question answering is apparently a type of communication: first, the systems are not leveraging the rich information they have. Second, they are inflexible and inadaptable as they aim to be a robust system. In fact, it is difficult to guess the intention of a person precisely because natural language has ambiguities at different levels. Apart from the ambiguity of natural language, people have diversity due to social and cultural factors.

Dialogue-based question answering is a way to overcome the limitations of not properly deploying the large data and not coping with the ambiguity in question answering. The paper defined a dialogue-based question answering system as a system that uses communication strategies: (i) to provide the user with information proactively and (ii) to accommodate user reactions. The use of the systems information allows to enrich the question answering conversation, and the use of the users feedback allows to continue the rich conversation coherently.

First, the paper introduced question answering systems and communication theory to construe question answering as a form of communication. Next, it analyzed the WikiQA dataset and presented eleven types of errors which occurred in the actual use of question answering systems but could not be handled by the performance improvement of each module in the systems. After introducing how dialogue can be integrated in question answering systems in terms of extended speech act and the error types, it pilot-tested a question answering chatbot. The result showed that the two communication strategies could be another interface that helps both the user and the system explore huge data spaces by letting them make agreements and recover errors.
dc.description.tableofcontentsChapter 1. Introduction 1

1.1. Motivation 1

1.2. Related Work 4

Chapter 2. Preliminaries 8

2.1. Question Answering Systems 8

2.2. Communication Theory 13

Chapter 3. Error Analysis 16

3.1. Errors due to Questioners Knowledge State 16

3.2. Errors due to Transmitter or Receiver 19

3.3. Errors due to Addressees Knowledge State 26

Chapter 4. Error Recovery Strategy 30

4.1. Extended Speech Act Theory 30

4.2. Exploiting System-initiative Questions 33

4.3. Exploiting User Feedback 38

Chapter 5. Pilot Study 46

5.1. Method 46

5.2. Quantitative Analysis 50

Chapter 6. Discussion 55

Chapter 7. Conclusion 62
dc.publisher서울대학교 대학원-
dc.titleA Study on the Dialogue-based Question Answering System: Focusing on Error Recovery-
dc.title.alternative대화 기반 질의응답 시스템에 관한 연구: 오류 회복을 중심으로-
dc.contributor.AlternativeAuthorSueun Jang-
dc.contributor.affiliation인문대학 협동과정 인지과학전공-
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College of Humanities (인문대학)Program in Cognitive Science (협동과정-인지과학전공)Theses (Master's Degree_협동과정-인지과학전공)
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