[AISWorld] [CFP] International Workshop on Technologies for Information Retrieval (TIR'19)

[Hesti Sudjana]

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C  A  L  L    F O R     P A P E R S

         The 16th International Workshop on Technologies for Information
Retrieval
                                        (TIR'19)

                                      Linz, Austria
                                   August 26 - 29, 2019

                               https://webis.de/tir/tir-19/
                                    Email: tir at webis.de
              Paper submission:
https://confdriver.ifs.tuwien.ac.at/dexa2019
 
 All accepted papers will be published in Communications in Computer and
Information Science (CCIS) by Springer

***** IMPORTANT DATES *****
- Submission deadline: April 05, 2019 (23:59 CET)
- Notification of acceptance: May 23, 2019
- Camera-ready copies due: June 08, 2019


***** PUBLICATION *****
Accepted papers will be published by Springer in "Communications in
Computer and Information Science - CCIS".


***** SCOPE *****
The development of advanced retrieval solutions requires the
understanding and the combination of methods from different research
areas, including machine learning, (big) data mining, natural language
processing, artificial intelligence, user interaction and modeling, and
Web engineering. In addition, societal challenges such as information
quality, bias, or the trustworthiness of the stated facts and arguments
have come into focus.

The TIR workshop is held for the sixteenth time. Past workshops could
attract high-quality and innovative contributions and were characterized
by an open and stimulating atmosphere. 


***** TOPICS *****
In this regard the TIR workshop provides a platform for presenting and
discussing new solutions, novel ideas, or specific tools for future
retrieval and text understanding systems. The following list organizes
classic and recent topics for which contributions are welcome, but not
limited to:
- Theory. Retrieval models, similarity measures, formal analysis
- Evaluation. Corpus construction, experiment design, performance
measures, reproducibility, benchmarking of Information Retrieval and
Machine Learning   algorithms
- Information Quality and Provenance. Text quality assessment, text
reuse, trust and author reputation, provenance analytics
- Natural Language Technologies for IR Applications. Opinion mining,
text summarization and simplification, question answering, discourse and
argument mining
- Personalization. Personalized retrieval, context detection, user
profiling, user modeling
- Web Search. Ranking and recommendation, query classification and
segmentation, vertical search, dynamic taxonomy generation
- Social Media Analytics. People analytics, social network analysis,
trend analysis
- Semantic Web. Meta data analysis and tagging, knowledge extraction,
inference and linking
- Machine Learning. Representation learning for text mining
- Explanations. Explainable IR models, result explanations, evaluation
of explanations


***** SUBMISSION GUIDELINES *****
- Submissions to TIR 2019 must be original, unpublished contributions
and must not be under submission elsewhere.
- Papers must be written in English and are limited to 5 pages 
- Formatting guidelines refer to
http://www.dexa.org/formatting_guidelines
- Submission is made electronically in PDF format using our conference
management system (http://www.dexa.org/paper_submission)
- Submitted papers will be peer-reviewed by at least three experts from
the related field.
- At least one author of each accepted paper is required to register for
the DEXA'19 conference, attend the TIR'19 workshop, and present the
paper.


***** PAST WORKSHOPS *****
https://webis.de/events.html#tir-workshop-series

***** PC Co-chairs *****
Christin Seifert, University of Twente, The Netherlands
Benno Stein, Bauhaus-Universität Weimar, Germany
Michael Granihttps://webis.de/tir/tir-19/committee.html


***** CONTACT *****
Email: tir at webis.de




-------------------------------------------------
Hesti Sudjana 
Telecooperation Departement
Johannes Kepler University Linz
Science Park 3, Altenberger Straße 69, 
4040 Linz, Austria
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