This year, we made changes to the passage/sentence retrieval component of ILQUA in handling factoid and list questions. All the other components remain same. ILQUA is an IE-driven QA system. To answer “Factoid” and “List” questions, we apply our answer extraction methods on NE-tagged passages or sentences. The answer extraction methods adopted here are surface text pattern matching, n-gram prox...

This paper describes the architecture of the summarization system IS_SUM from Institute of Software, Chinese Academy of Sciences for DUC2006. The improvements on lexical chain algorithm are given in detail in order to enhance its efficiency and adapt it to query based summarization. We conclude our paper with the different evaluation results and the very primary analysis.

This paper summarizes the work done at the State University of New York at Buffalo (UB) in the GeoCLEF 2006 track. The approach presented uses pure IR techniques (indexing of single word terms as well as word bigrams, and automatic retrieval feedback) to try to improve retrieval performance of queries with geographical references. The main purpose of this work is to identify the strengths and s...

This paper describes SINAI team participation in the ImageCLEF campaign. The SINAI research group participated in both the ad hoc task and the medical task. The experiments accomplished in both tasks result from very different approaches. For the adhoc task the main IR system used is the same as that of the 2005 ImageCLEF adhoc task. The improvement of the adhoc system is a new Machine Translat...

This paper presents the results of the University at Buffalo in the 2006 ImageCLEFmed task. Our approach for this task combines Content Based Image Retrieval (CBIR) and text retrieval to improve retrieval of medical images. Our results are comparable to other approaches presented in the task. Our results show that text retrieval performs well across the three different types of topics (visual, ...

This paper describes our participation in the GeoCLEF monolingual English task of the Cross Language Evaluation Forum 2006. Our retrieval system consists of four modules: the geographic knowledge base; the indexing module; the document retrieval module and the ranking module. The geographic knowledge base provides information about important geographic entities around the world and relationship...

MG4J participated in the ad hoc task of the Terabyte Track (find all the relevant documents with high precision from 25.2 million pages from the .gov domain) at TREC 2006. It was the second time the MG4J group participated to TREC. For this year, we integrated standard techniques (such as stemming and BM25 scoring) into MG4J, and submitted also automatic runs based on trivial query expansion te...

The shot boundary detection system we are using for 2006 builds on the framework and system developed in 2004 and 2005 which combines pairwise similarity analysis and supervised classification. Using primitive low-level image features, we build secondary features based on inter-frame dissimilarity. These secondary features are used as input to an efficient k-Nearest-Neighbor (kNN) classifier. T...