[Elsnet-list] CFP Seven SIGIR’14 Workshops on emerging areas in IR

Richi Nayak r.nayak at qut.edu.au
Wed Feb 26 06:00:45 CET 2014

[Apologies if you receive this more than once]

The workshop program of the

    SIGIR’14: 37th Annual ACM SIGIR Conference,

    Gold Coast, Australia, 6-11 July, 2014


will host seven attractive workshops covering novel ideas and emerging areas in IR:

* ERD’14: Entity Recognition and Disambiguation Challenge


The Entity Recognition and Disambiguation Workshop will be organized as

a challenge, where participants submit working systems that identify the

entities mentioned in text. The challenge will have two tracks, focusing

on long and short texts. All submissions will be evaluated on shared

datasets; part of the data will be withheld, to be used for the final

evaluation of all submitted systems to determine the winners. Each

participating team will be offered a spot at the workshop to present

their system.

David Carmel, Yahoo! Research

Ming-Wei Chang, Microsoft Research

Evgeniy Gabrilovich, Google

Bo-June (Paul) Hsu, Microsoft Research

Kuansan Wang, Microsoft Research

* GEAR’14: Gathering Efficient Assessments of Relevance Workshop


Evaluation is a fundamental part of Information Retrieval, and in the

conventional Cranfield evaluation paradigm, sets of relevance

assessments are a fundamental part of test collections. In this

workshop, we wish to revisit how relevance assessments can be

efficiently created. Potential themes include methods for generating

assessments, the process of assessment, effort involved in assessing

different materials, exploration of the concept of relevance etc. A

discussion and exploration of this issue will be facilitated through the

presentation of results based papers and position papers on the topic,

as well as a group design activity.

Martin Halvey, Glasgow Caledonian University

Robert Villa, University of Sheffield

Paul Clough, University of Sheffield

* MedIR’14: Medical Information Retrieval Workshop


Medical information is accessible from diverse sources including the

general web, social media, journal articles, and hospital records; users

include patients and their families, researchers, practitioners and

clinicians. Challenges in medical information retrieval include:

diversity of users and user ability; variations in the format,

reliability, and quality of biomedical and medical information; the

multimedia nature of data; and the need for accuracy and reliability.

The aim of the workshop is to bring together researchers interested in

medical information search with the goal of identifying specific

challenges that need to be addressed to advance the state-of-the-art.

Eiji Aramaki, Kyoto University, Japan

Lorraine Goeuriot, Dublin City University, Ireland

Gareth JF Jones, Dublin City University, Ireland

Liadh Kelly, Dublin City University, Ireland

Henning Müller, University of Applied Sciences Western Switzerland

Justin Zobel, University of Melbourne, Australia

* PIR’14: Privacy-Preserving IR Workshop — When Information Retrieval

Meets Privacy and Security


Information retrieval and information privacy/security are two

fast-growing computer science disciplines. There are many synergies and

connections between these two disciplines. However, there have been very

limited efforts to connect the two. On the other hand, due to lack of

mature techniques in privacy-preserving IR, concerns about privacy and

security have become serious obstacles that prevent valuable user data

to be used in IR research such as studies about query logs, social

media, tweets, sessions, and medical record retrieval. This

privacy-preserving IR workshop aims to spurring research brings together

the research fields of IR and privacy/security, and mitigate privacy

threats in information retrieval by exploring novel algorithms and tools.

Luo Si (Purdue University, USA)

Grace Hui Yang (Georgetown University, USA)

* SMIR’14: Semantic Matching in Information Retrieval


Recently, significant progress has been made in research on what we call

semantic matching (SM), in Web search, question answering, online

advertisement, cross language information retrieval, multimedia

retrieval, and other tasks. Let us take Web search as example of the

problem. When comparing the textual content of query and documents, the

simple term-based approaches can fail when searcher and author use

different terms. A more realistic approach beyond bag-of-words, referred

to as semantic matching (SM), is to conduct deeper query and document

analysis to encode text with richer representations and then perform

query-document matching with such representations. The main purpose of

the workshop is to bring together IR and NLP researchers working on or

interested in semantic matching, to share latest research results,

express opinions on the related issues, and discuss future directions.

Julio Gonzalo, UNED, Spain

Hang Li, Noah's Ark Lab, Huawei, Hong Kong

Alessandro Moschitti, Qatar Computing Research Institute, Qatar

Jun Xu, Noah's Ark Lab, Huawei, Hong Kong

* SoMeRA’14: Social Media Retrieval and Analysis Workshop


The SoMeRA 2014 workshop will present and discuss cutting edge research

on all topics of retrieval, recommendation, and browsing in social

media, as well as on the analysis of user's multifaceted traces in

social media. In particular, novel methods and ideas that address

challenges such as large quantity and noisiness of user-generated

multimedia data, user biases, cold-start problem, or integrating

contextual aspects into retrieval and recommendation techniques are

highly welcome. The workshop will further foster the exchange of ideas

between different communities, in particular it aims at better

connecting the multimedia and recommender systems communities with the

information retrieval community. The workshop will feature both oral

presentations (full papers) and poster/demo presentations (short papers).

Markus Schedl, Johannes Kepler University, Austria

Peter Knees, Johannes Kepler University, Austria

Jialie Shen, Singapore Management University, Singapore

* TAIA’14: Temporal, social and spatially Aware Information Access Workshop


Users provide an unprecedented volume of detailed, and continuously

updated information about where they are, what they are doing, who they

are with, and what they are thinking and feeling about their activities.

The provision of this stream creates an informal contract between the

user and the information access application in which the user will

provide the information, but the application must provide results that

are contextually relevant.  In this workshop we explore spatial and

temporal context in dynamic geotagged collections, such as Wikipedia,

and traditional news sources, as well as social media sites such as

Twitter, Foursquare, Facebook and Flickr.  To ground the workshop, and

provide a locus for discussion of the two aspects of user context, we

focus on event detection and recommendation.  Events are a natural theme

around which to center discussions of spatial and temporal context

because events are defined by their time and place.

Fernando Diaz, Microsoft Research

Claudia Hauff, Delft University of Technology

Vanessa Murdock, Microsoft

Maarten de Rijke, University of Amsterdam

Milad Shokouhi, Microsoft

Please look at the individual websites for the calls, and deadlines —

and participate in the discussion on the SIGIR’14 workshop day, on

Friday 11 July 2014, in the beautiful scenery of Gold Coast, Queensland,


Dr Richi Nayak, Associate Professor
Higher Degree Research Director, School of Electrical Engineering and Computer Science
Science and Engineering Faculty| Queensland University of Technology |Brisbane, QLD 4001
Office: S1206 | Ph: 313 81976 | Fax: 313 89390 | Email: r.nayak at qut.edu.au<mailto:resources.scitech at qut.edu.au>
Webpage: http://applieddatamining.info/
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