204 research outputs found
Report on the Information Retrieval Festival (IRFest2017)
The Information Retrieval Festival took place in April 2017 in Glasgow. The focus of the workshop was to bring together IR researchers from the various Scottish universities and beyond in order to facilitate more awareness, increased interaction and reflection on the status of the field and its future. The program included an industry session, research talks, demos and posters as well as two keynotes. The first keynote was delivered by Prof. Jaana Kekalenien, who provided a historical, critical reflection of realism in Interactive Information Retrieval Experimentation, while the second keynote was delivered by Prof. Maarten de Rijke, who argued for more Artificial Intelligence usage in IR solutions and deployments. The workshop was followed by a "Tour de Scotland" where delegates were taken from Glasgow to Aberdeen for the European Conference in Information Retrieval (ECIR 2017
EVIA 2007: The First International Workshop on Evaluating Information Access (Workshop Report)
The first workshop on Evaluating Information Access was held at the National Institute of Informatics,
Tokyo, Japan on May 15th, 2007. It was composed of a five invited speakers and two sessions of refereed
papers and posters
DCU at the NTCIR-12 SpokenQuery&Doc-2 task
We describe DCU’s participation in the NTCIR-12 SpokenQuery&Doc (SQD-2) task. In the context of the slide-group
retrieval sub-task, we experiment with a passage retrieval
method that re-scores each passage according to the relevance score of the document from which the passage is taken.
This is performed by linearly interpolating their relevance
scores which are calculated using the Okapi BM25 model of
probabilistic retrieval for passages and documents independently. In conjunction with this, we assess the benefits of
using pseudo-relevance feedback for expanding the textual
representation of the spoken queries with terms found in the
top-ranked documents and passages, and experiment with
a general multidimensional optimisation method to jointly
tune the BM25 and query expansion parameters with queries
and relevance data from the NTCIR-11 SQD-1 task. Retrieval experiments performed over the SQD-1 and SQD-2
queries confirm previous findings which affirm that integrating document information when ranking passages can lead
to improved passage retrieval effectiveness. Furthermore,
results indicate that no significant gains in retrieval effectiveness can be obtained by using query expansion in combination with our retrieval models over these two query sets
Evaluation campaigns and TRECVid
The TREC Video Retrieval Evaluation (TRECVid) is an
international benchmarking activity to encourage research
in video information retrieval by providing a large test collection, uniform scoring procedures, and a forum for organizations interested in comparing their results. TRECVid completed its fifth annual cycle at the end of 2005 and in 2006 TRECVid will involve almost 70 research organizations, universities and other consortia. Throughout its existence, TRECVid has benchmarked both interactive and automatic/manual searching for shots from within a video
corpus, automatic detection of a variety of semantic and
low-level video features, shot boundary detection and the
detection of story boundaries in broadcast TV news. This
paper will give an introduction to information retrieval (IR) evaluation from both a user and a system perspective, highlighting that system evaluation is by far the most prevalent type of evaluation carried out. We also include a summary of TRECVid as an example of a system evaluation benchmarking campaign and this allows us to discuss whether
such campaigns are a good thing or a bad thing. There are
arguments for and against these campaigns and we present
some of them in the paper concluding that on balance they
have had a very positive impact on research progress
VRLE: Lifelog Interaction Prototype in Virtual Reality:Lifelog Search Challenge at ACM ICMR 2020
The Lifelog Search Challenge (LSC) invites researchers to share
their prototypes for interactive lifelog retrieval and encourages
competition to develop and evaluate effective methodologies to
achieve this. With this paper we present a novel approach to visual
lifelog exploration based on our research to date utilising virtual
reality as a medium for interactive information retrieval. The VRLE
prototype presented is an iteration on a previous system which
won the first LSC competition at ACM ICMR 2018
Topic-dependent sentiment analysis of financial blogs
While most work in sentiment analysis in the financial domain has focused on the use of content from traditional finance news, in this work we concentrate on more subjective sources of information, blogs. We aim to automatically determine the sentiment of financial bloggers towards companies and their stocks. To do this we develop a corpus of financial blogs, annotated with polarity of sentiment with respect to a number of companies. We conduct an analysis of the annotated corpus, from which we show there is a significant level of topic shift within this collection, and also illustrate the difficulty that human annotators have when annotating certain sentiment categories. To deal with the problem of topic shift within blog articles, we propose text extraction techniques to create topic-specific sub-documents, which we use to train a sentiment classifier. We show that such approaches provide a substantial improvement over full documentclassification and that word-based approaches perform better than sentence-based or paragraph-based approaches
CHORUS Deliverable 4.1: Report of the 1st CHORUS Workshop
Minutes of Rocquencourt Workshop – INRIA March 13, 200
- …