This paper is a condensed report on the second year of the Touché shared task on
argument retrieval held at CLEF 2021. With the goal to provide a collaborative platform for …

This paper is a condensed report on the third year of the Touché lab on argument retrieval
held at CLEF 2022. With the goal to foster and support the development of technologies for …

Data deduplication is of critical importance to reduce the storage cost for clients and to
relieve the unnecessary storage pressure for cloud servers. While various techniques have …

Generating the hash values of short subsequences, called seeds, enables quickly
identifying similarities between genomic sequences by matching seeds with a single lookup …

Retrieval studies often reuse TREC collections after the corresponding tracks have passed.
Yet, a fair evaluation of new systems that retrieve documents outside the original judgment …

With the growing popularity of cloud computing, sharing media data through the cloud has
become a common practice. Due to high information redundancy, media data take up a …

As a traditional information retrieval task, ad hoc web search has long been an important
part of IR research and evaluation tracks (eg TREC, NTCIR and CLEF). A crawled, large …

Abstract The TREC Deep Learning tracks used MS MARCO Version 1 as their official
training data until 2020 and switched to Version 2 in 2021. For Version 2, all previously …

Secure deduplication not only optimizes cloud storage but also prevents data leakage.
However, traditional schemes are with high computation and communication costs to deal …

The web has been a subject of research since its beginning, but it is difficult if not impossible
to analyze the whole web, even if a database of all URLs would be freely accessible …