| 王家钺，广西师范大学外国语学院英语语言文学系主任、博士、副教授、硕士研究生导师。从事应用语言学、语料库语言学、计算机辅助翻译等领域的研究。在《外语界》《现代外语》等刊物上发表论文多篇，主持省厅级课题2项。 |
| Chapter 1 Introduction 1.2 Discussions on KE methods Chapter 2 Information retrieval: the ultimate goal 2.1 Introduction 2.3.1 Free text string searching 2.4.1 The Vector Space Model 2.4.2 Probabilistic approaches 2.4.3 Document classification and clustering 2.5 Linguistic approaches to IR 2.5.1 Problems with statistical methods 2.5.2 Non-statistical methods 2.7 Nominal phrases 2.7.1 Significance 2.7.2 Phrase detection and extraction 2.7.3 Base NPs 2.8 Summary Chapter 3 Web search and relevance: trigger and rationale 3.1 Web search: a good landing for IR discussions 3.2 The "hypertext challenge"? 3.3 Search engines: performance and problems 3.4 IR and relevance 3.5 Relevance studies 3.5.1 Anatomy of the concept 3.5.2 Relevance assessment variation 3.5.3 System-oriented relevance , 3.5.4 User-oriented relevance 3.5.5 System-oriented definitions of relevance 3.6 Discussion and re-definition Chapter 4 Keyword extraction: methodology and practices 4.1 KE: a good aid for IR 4.2 What is "topic"? 4.3 KE review 4.3.1 Text segmentation and topic extraction …… Chapter 5 Experiments Chapter 6 Conclusions and further research Bibliography Appendices |
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