A weakly-supervised extraction method identifies concepts within conceptual hierarchies, at the appropriate level of specificity (e.g., Bank vs. Institution), to which attribute...
The selection of indexing terms for representing documents is a key decision that limits how effective subsequent retrieval can be. Often stemming algorithms are used to normaliz...
A number of online video social networks, out of which YouTube is the most popular, provides features that allow users to post a video as a response to a discussion topic. These f...
We investigate using topic prediction data, as a summary of document content, to compute measures of search result quality. Unlike existing quality measures such as query clarity ...
Retrieval with Logical Imaging is derived from belief revision and provides a novel mechanism for estimating the relevance of a document through logical implication (i.e. P(q → ...
Guido Zuccon, Leif Azzopardi, C. J. van Rijsbergen
We study the recurrence dynamics of queries in Web search by analysing a large real-world query log dataset. We find that query frequency is more useful in predicting collective ...
The inclusion of document length factors has been a major topic in the development of retrieval models. We believe that current models can be further improved by more refined est...
This paper presents a transductive approach to learn ranking functions for extractive multi-document summarization. At the first stage, the proposed approach identifies topic th...