𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Exploiting syntactic analysis of queries for information retrieval

✍ Scribed by Markus Mittendorfer; Werner Winiwarter

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
205 KB
Volume
42
Category
Article
ISSN
0169-023X

No coin nor oath required. For personal study only.

✦ Synopsis

Up to now, the results of applying sophisticated NL techniques to information retrieval (IR) have been mostly disappointing. Our research aims at investigating in detail the role of syntactic analysis in IR and at finding answers to the question why it works better for some queries and worse for others. The final goal is a hybrid algorithm that selectively applies syntactic analysis to certain classes of queries while relying on standard statistical techniques otherwise.

πŸ“œ SIMILAR VOLUMES

Query expansion using UMLS Tools for hea
Query expansion using UMLS Tools for health information retrieval
✍ Kun Lu; Xiangming Mu πŸ“‚ Article πŸ“… 2009 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 202 KB

## Abstract Four new automatic query expansion strategies based on UMLS Metathesaurus are proposed to improve the effectiveness of health information retrieval: String index with Concept expansion (SC), String index with Term expansion (ST), Word index with Concept expansion (WC), and Word index wi

Assessing effectiveness of query reformu
Assessing effectiveness of query reformulations: Analysis of user-generated information retrieval diaries
✍ Soohyung Joo; Jee Yeon Lee πŸ“‚ Article πŸ“… 2011 πŸ› Wiley (John Wiley & Sons) 🌐 English βš– 124 KB

This ongoing project investigated effectiveness of query reformulations using user-generated information retrieval diaries. This study is one of a few studies that employed a diary method and assessed query reformulation effectiveness directly from users' ratings. In addition, the pilot analysis inv

Data cleansing for Web information retri
Data cleansing for Web information retrieval using query independent features
✍ Yiqun Liu; Min Zhang; Rongwei Cen; Liyun Ru; Shaoping Ma πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 614 KB

## Abstract Understanding what kinds of Web pages are the most useful for Web search engine users is a critical task in Web information retrieval (IR). Most previous works used hyperlink analysis algorithms to solve this problem. However, little research has been focused on query‐independent Web da