Titlebook: Evaluating Systems for Multilingual and Multimodal Information Access; 9th Workshop of the Carol Peters,Thomas Deselaers,Vivien Petras Con

Affluence

IR-n in the CLEF Robust WSD Task 2008e to take profit of the WSD query expansion based on Wordnet. Our best run has obtained a 4th - 0.4008 MAP -. A major finding is that LCA fits better than PRF to this task due to it is able to take advantage of the expanded documents and queries.

PRE

Query Clauses and Term Independencerom optimal. In this paper we discuss the problem of term dependency in the context of query expansion and show its dangers in a number of empirical evaluations. Furthermore we propose a simple method (query clauses) that can be applied to several standard ranking functions to exploit a simple type of term dependency.

PAN

Analysis of Word Sense Disambiguation-Based Information Retrieval008, we performed experiments on monolingual (English) and bilingual (Spanish to English) collections. Our official results and a deep analysis are described below, along with our conclusions and perspectives.

Hippocampus

Statische und genetische Ph?nomenologieg the chance to test retrieval with word sense disambiguated data. The track was thus structured in three distinct streams denominated: TEL@CLEF, Persian@CLEF and Robust WSD. The results obtained for each task are presented and statistical analyses are given.

CHOIR

Excitotoxin

無王時期,

,How Constant is Today’s Climate?,n the document translation part, we use the Shiraz machine translation system for translation of documents into English. Then we create a Hybrid CLIR system by score-based merging of the two retrieval system results. In addition, we investigated N-grams and a light stemmer in our monolingual experiments.

Tempor

類型

Logistic Regression for Metadata: Cheshire Takes on Adhoc-TELAll translation for bilingual tasks was performed using the LEC Power Translator PC-based MT system. This approach seems to be a fit good for the limited TEL records, since the overall results show Cheshire runs in the top five submitted runs for all languages and tasks except for Monolingual German.

容易懂得

Fusion of Retrieval Models at CLEF 2008 Ad Hoc Persian Trackl techniques on the performance of Persian retrieval. We use an extension of Ordered Weighted Average (OWA) operator called IOWA and a weighting schema, NOWA for merging the results. Our experimental results show that merging by OWA operators produces better MAP.