TCD-DCU at TEL@CLEF 2009: Document Expansion, Query Translation and Language Modeling

Experiments in monolingual English and cross-language French-English speech retrieval obtained the best results by augmenting ASR transcripts with automatically generated keywords.

We explored alternative translations methods with document retrieval based the combination of the multiple document fields using the BM25F field combination model.. Our results

We describe the effects of using character n-grams and field combinations on both monolingual English retrieval, and cross- lingual Dutch to English

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

Dublin City University’s participation in the CLEF 2006 ImageCLEF Photo Collection Ad Hoc task adopted standard text retrieval using image metadata and text search topics, with

All Field Experiments Table 9 shows results for monolingual English retrieval based on all document fields using TDN field topics. Our sumitted run using this method is denoted

used a re-ranking method that aimed to improve the initial ranking of retrieved relevant documents using a method called the minimal matching span [3].. This method aims to improve

Participants were asked to categorise their submissions by the following dimensions: query language, type (automatic or manual), use of feedback (typically relevance feedback is