In the context of the Document Understanding Conferences, the task of Query-Focused Multi-Document Summarization is intended to improve agreement in content among humangenerated m...
Abstract. Traditional retrieval models assume that query terms are independent and rank documents primarily based on various term weighting strategies including TF-IDF and document...
This paper presents an interactive query expansion method with association thesaurus, which is mined from the ‘selected web pages’ of users in the query logs. The ‘selected w...
The field of information retrieval has traditionallyfocused on s consistingof titlesand abstracts. As a consequence, many underlying assumptions must be altered for retrieval fro...
Noun phrases in queries are identified and classified into four types: proper names, dictionary phrases, simple phrases and complex phrases. A document has a phrase if all content...
When applying blind relevance feedback for ad hoc document retrieval, is it possible to identify, a priori, the set of query terms that will most improve retrieval performance? Ca...
This work proposes a novel spoken term detection technique, where the query is in audio format. Detection and retrieval are performed by matching the spectrograms of the spoken do...