2012/013 - Linguistically-Adapted Structural Query Annotation for Digital Libraries in the Social Sciences
Caroline Brun, Nikolaos Lagos, Vassilina Nikoulina
13th Conference of the European Chapter of the Association for Computational Linguistics, Avignon, France, April 23-27, 2012.
Query processing is an essential part of a range of applications in the social sciences and cultural heritage domain. However, out-of-the-box natural language processing tools originally developed for full phrase analysis are inappropriate for query analysis. In this paper, we propose an approach to solving this problem by adapting a complete and in-tegrated chain of NLP tools, to make it suit-able for queries analysis. Using as a case study the automatic translation of queries posed to the Europeana library, we demon-strate that adapted linguistic processing can lead to improvements in translation quality.