Appendix E: Participating Institutions

Brown’s entry to the Cross-Language Speech Retrieval (CL-SR) track at the 2007 Cross Language Evaluation Forum (CLEF) 1 was based on the language model (LM) paradigm for

In Prague02 they were constructed from lemmas (to match the lemmatized documents) and their synonyms and in Prague03 with the use of “stems“ and wildcard operators to cover all

Like many state of the art QA systems base their performance on Named Entity Recognition (NER) [10, 3] as well as on precise linguistic information [2, 4], in order to build QA@L 2 F

A combination of the text, description and nar- rative fields of the topic has been employed to perform the information retrieval process according to the submitted runs.. The rules

We submitted three officially scored runs for Czech: umd.all used all available fields (both automatically and manually generated, in both English and Czech), umd.asr used only

[r]

[r]

Each one of the terms of the topic in the logic form can modify its weight term according to the type of assert of the term in the logic form and the relationships between these