Information Extraction for Vietnamese Real-Estate Advertisements

Contents

List of Figures

List of Tables

Chapter 1 Introduction

1.1 Problem and Idea

1.2 Scope of the thesis

1.3 Thesis' structure

Chapter 2 Related Work

2.1 Approaches

2.1.1 Rule-based approach

2.1.2 Machine-learning approach

2.1.3 Hybrid approach

2.2 GATE framework

2.2.1 Introduction

2.2.2 General Architecture of GATE

2.2.3 An example: ANNIE - A Nearly-New Information Extraction System

2.2.4 Working with GATE

2.2.5 Gazetteers

2.2.6 JAPE

Chapter 3 Our Vietnamese Real-Estate Information Extraction system

3.1 Template Definition

3.2 Corpus Development

3.2.1 Criterion of data collection

3.2.2 Data collection

3.2.3 Data normalization

3.2.4 Corpus Annotation

3.3 System Development

3.3.1 Tokenizer

3.3.2 Gazetteer

3.3.3 JAPE Transducer

3.3.3.1 Remove incorrect Lookup annotations

3.3.3.2 Recognizing <TypeEstate> entities

3.3.3.3 Recognizing <CategoryEstate> entities

3.3.3.4 Recognizing <Zone> entities

3.3.3.5 Recognizing <Area>, <Price> and <Telephone> entities

3.3.3.6 Recognizing <Fullname> entities

3.3.3.7 Recognizing <Address> entities

3.3.3.8 Recognizing <Email> entities

3.4 Summary

Chapter 4 Experiments and Error Analysis

4.1 Evaluation metrics

4.2 Experimental result

4.3 Errors Analysis

Chapter 5 Conclusion and Future Works

5.1 Conclusion

5.2 Future Works

Appendix A

Appendix B

Bibliography