Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
This paper contains a description of the methodology and results of the three TREC submissions made by the Glasgow IR group (glair). In addition to submitting to the ad hoc task, ...
Fabio Crestani, Mark Sanderson, Marcos Theophylact...
Evaluating complex Natural Language Processing (NLP) systems can prove extremely difficult. In many cases, the best one can do is to evaluate these systems indirectly, by looking ...
There is considerable interest in interdisciplinary combinations of automatic speech recognition (ASR), machine learning, natural language processing, text classification and info...
Mark Dredze, Aren Jansen, Glen Coppersmith, Ken Wa...
We present a chain of tools used by grammarians and computer scientists to develop grammatical and lexical resources from linguistic knowledge, for various natural languages. The ...
Bruno Guillaume, Joseph Le Roux, Jonathan Marchand...