Benefits of deep NLP-based Lemmatization for Information Retrieval.
Péter Halácsy · CLEF (Working Notes) · 2006
This paper reports on our system used in the CLEF 2006 ad hoc mono-lingual Hungarian retrieval task. Our experiments focus on the benefits that deeper NLP-based lemmatization (as opposed to simpler stemmers) can contribute to mean average precision. Our results show that these benefits counterweight the disadvantage of using an off-the-shelf retrieval toolkit.