HIT2Lab at CLEF: an Exploration of the TEL Task

The MRF model we trained using 2013 test data does not improve retrieval performance using 2014 test dataset. The reason could be that we overfitted the model though we attempted

Continuing the tradition of shared tasks providing annotated data for development and evalua- tion of NLP systems for potentially useful applications, this year’s ShARe/CLEF

Our system for the CLEF Question Answering for Machine Reading Evaluation (QA4MRE) this year is based on these two principles, devising a number of features that provide useful

Query expansion in the bilingual tasks (denoted by “X” at the end of the names in Table 3) added the source topics from the translation and an additional translation of the topics

The merged monolingual experiments for each collection formed the baseline for two bilingual experiments, where the topics were translated from two different source languages to

The Lucene queries were received in an XML document structured as: the root element we have tag query, and the children are id, text (that was the query itself) and

CACAO (Cross-language Access to Catalogues And On-line libraries) is an EU project funded under the eContentplus program and proposes an innovative approach for accessing,

Interpolated recall vs precision averages plot Average precision statistics and box plot Average precision comparison to median plot Document cutoff levels vs precision at DCL