TAILIEUCHUNG - Báo cáo khoa học: "A Re-examination of Query Expansion Using Lexical Resources"

Query expansion is an effective technique to improve the performance of information retrieval systems. Although hand-crafted lexical resources, such as WordNet, could provide more reliable related terms, previous studies showed that query expansion using only WordNet leads to very limited performance improvement. One of the main challenges is how to assign appropriate weights to expanded terms. In this paper, we re-examine this problem using recently proposed axiomatic approaches and find that, with appropriate term weighting strategy, we are able to exploit the information from lexical resources to significantly improve the retrieval performance. . | A Re-examination of Query Expansion Using Lexical Resources Hui Fang Department of Computer Science and Engineering The Ohio State University Columbus OH 43210 hfang@ Abstract Query expansion is an effective technique to improve the performance of information retrieval systems. Although hand-crafted lexical resources such as WordNet could provide more reliable related terms previous studies showed that query expansion using only WordNet leads to very limited performance improvement. One of the main challenges is how to assign appropriate weights to expanded terms. In this paper we re-examine this problem using recently proposed axiomatic approaches and find that with appropriate term weighting strategy we are able to exploit the information from lexical resources to significantly improve the retrieval performance. Our empirical results on six TREC collections show that query expansion using only hand-crafted lexical resources leads to significant performance improvement. The performance can be further improved if the proposed method is combined with query expansion using co-occurrence-based resources. 1 Introduction Most information retrieval models Salton et al. 1975 Fuhr 1992 Ponte and Croft 1998 Fang and Zhai 2005 compute relevance scores based on matching of terms in queries and documents. Since various terms can be used to describe a same concept it is unlikely for a user to use a query term that is exactly the same term as used in relevant documents. Clearly such vocabulary gaps make the retrieval performance non-optimal. Query expansion Voorhees 1994 Mandala et al. 1999a Fang and Zhai 2006 Qiu and Frei 1993 Bai et al. 2005 Cao et al. 2005 is a commonly used strategy to bridge the vocabulary gaps by expanding original queries with related terms. Expanded terms are often selected from either co-occurrence-based thesauri Qiu and Frei 1993 Bai et al. 2005 Jing and Croft 1994 Peat and Willett 1991 Smeaton and van Rijsbergen 1983 Fang and Zhai .

• Báo cáo khoa học
• A Re examination
• Query Expansion
• Lexical Resources
• báo cáo khoa học
• báo cáo ngôn ngữ
• xử lý ngôn ngữ tự nhiên
• Costly short sale hypothesis
• Asymmetric volume return relationship
• Quantile regression
• Volume return relationship
• ETF markets
• Asset pricing tests
• Accruals quality
• Information risk
• Portfolio theory and diversification
• Return decomposition
• Bài giảng Xử lý ngôn ngữ tự nhiên
• Ngôn ngữ tự nhiên
• Kỹ thuật lập trình
• Xử lý nhập nhằng ngữ nghĩa
• Xử lý ngữ nghĩa
• Xử lý ngôn ngữ
• Natural Language Processing
• Ngôn ngữ lập trình
• Nhập nhằng cấu trúc
• Tri thức về ngôn ngữ
• Mô hình ngôn ngữ
• Mô hình n gram
• Dịch máy
• Phương pháp dịch máy
• Hiểu ngôn ngữ
• Phân tích ngữ nghĩa
• Phân loại tin tự động
• Biểu diễn vị từ
• Thuộc tính về sự kiện
• Thuộc tính về sự kiện
• Mô hình ngôn ngữ Google Book N grams
• Mô hình ngôn ngữ KenLM
• Phương pháp làm mịn
• Tách từ tiếng Việt
• Gán nhãn từ loại
• Phân tích cú pháp
• Nghĩa từ vựng
• Phân giải nhập nhằng từ
• Phân loại văn bản
• Lexical chain
• Phản hồi thông tin
• Bài toán PTCP
• Cấu trúc ngữ pháp
• Phân tích cú pháp xác suất
• CKY kết hợp xác suất
• Văn phạm phi ngữ cảnh xác suất
• Hình thái học