This paper evaluates the potential impact of explicit phrases on retrieval quality through a case study with the TREC Terabyte benchmark. It compares the performance of userand system-identified phrases with a standard score and a proximity-aware score, and shows that an optimal choice of phrases, including term permutations, can significantly improve query performance.

in recent decades, “figurative language” has gained the interest of a large number of russian linguists as a source of lexical enrichment. persian and russian manifest, are more or less, a different image of a movement. nevertheless, these verbs share a number of linguistic features, although they belong to two diverse languages. due to the high frequency in the function of movement verbs in th...

The performance of machine learning algorithms can be improved by combining the output of different systems. In this paper we apply this idea to the recognition of noun phrases. We generate different classifiers by using different representations of the data. By combining the results with voting techniques described in (Van Halteren et al., 1998) we manage to improve the best reported performan...