Computing the degree of semantic relatedness of words is a key functionality of many
language applications such as search, clustering, and disambiguation. Previous …

In the past decade, next-generation sequencing (NGS) enabled the generation of genomic
data in a cost-effective, high-throughput manner. The most recent third-generation …

The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

Indexing highly repetitive collections has become a relevant problem with the emergence of
large repositories of versioned documents, among other applications. These collections may …

The generative process underlies many information retrieval models, notably statistical
language models. Yet these models only examine one (current) version of the document …

We propose and study a new ranking problem in versioned databases. Consider a database
of versioned objects which have different valid instances along a history (eg, documents in a …

Time-travel text search enriches standard text search by temporal predicates, so that users
of web archives can easily retrieve document versions that are considered relevant to a …

Most of the fastest-growing string collections today are repetitive, that is, most of the
constituent documents are similar to many others. As these collections keep growing, a key …

Time-travel queries that couple temporal constraints with keyword queries are useful in
searching large-scale archives of time-evolving content such as the web archives or wikis …

Current Information Retrieval systems use inverted index structures for efficient query
processing. Due to the extremely large size of many data sets, these index structures are …