Category: [rede.APPIA]

A [rede.APPIA] é a lista de distribuição de correio electrónico da APPIA, com o objectivo de divulgar notícias de interesse para a comunidade científica da Inteligência Artificial, disponível através do endereço rede [at] appia [ponto] pt.

[rede.APPIA] The ECIR Industry Impact Award, sponsored by Signal AI.

Ricardo Campos

We are delighted to announce that ECIR 2020 will feature a new award. The award aims to recognize excellence in industrial impact, and hence to strengthen the connection and collaboration with industry. The award will be given to authors of one selected full paper from the ECIR programme. Factors that will be taken into account when selecting the candidate papers for this award include, but are not limited to, replicability, open-source code, data availability, efficiency, simplicity, and business value. In addition to receiving an award certificate, the recipients of the award will be presented with a monetary prize of €1000.  

 

ECIR will continue to feature this award at least until 2022.

 

 

=====================

ECIR 2020 :: 42nd European Conference on Information Retrieval http://www.ecir2020.org/

Lisbon
April 14 -17, 2020
=====================

[rede.APPIA] ECIR2020: Full-papers deadline extension

Ricardo Campos

 

=====================

ECIR 2020 :: 42nd European Conference on Information Retrieval http://www.ecir2020.org/

Lisbon
April 14 -17, 2020
=====================

The European Conference on Information Retrieval is the prime European forum for the presentation of original research in the field of Information Retrieval.

ECIR 2020 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information.

ECIR strongly supports user, system, application, and evaluation focused papers:

 * User aspects including information interaction, contextualisation, personalisation, simulation, characterisation, and information behaviours.

 * System aspects including retrieval and recommendation algorithms, machine learning, deep learning, content representation, natural language processing, system architectures, and efficiency methods.

 * Applications such as search and recommender systems, web and social media apps, domain specific search (professional, bio, chem, etc.), novel interfaces, intelligent search agents/bots, and related innovative search tools.

 * Evaluation research including new measures and novel methods for the measurement and evaluation of users, systems and/or applications.

In addition to these traditional topic areas, ECIR 2020 will be encouraging the submissions of papers on a specialised theme (eHealth, DeepLearning, education IR etc.)

Full Paper Track
=====================
The Full paper track provides the opportunity for researchers to present their state of the art research in Information Retrieval, which makes, or have the potential to make, a significant contribution to the field. Full paper submissions should be 12 pages in length plus additional pages for references.

NEW!!!: As of 2020, a selection of the best papers at ECIR will be published in a special issue of the Information Retrieval Journal.

Information Retrieval Journal
=====================
Selected papers from ECIR 2020  will be published in a special issue of the  Information Retrieval Journal in early 2021.

Submission Guidelines
=====================
All submissions must be written in English and be formatted according to the LNCS author guidelines. All papers should be submitted electronically through the conference submission system. Full papers (e.g. main paper track and reproducibility track) are up to 12 pages in length plus additional pages for references.


Full paper submissions will be refereed through double-blind peer review. Accepted full papers will be published in the conference proceedings published in the Springer Lecture Notes in Computer Science series. The proceedings will be distributed to all delegates at the conference. Accepted full papers will have to be presented at the conference–and at least one author will be required to register.

Timeline
=====================

(new) Full paper submission: 10 October 2019
Notification: 30 November 2019

Workshops and tutorials: 14 April 2020
Main Conference: 15-17 April 2020

[rede.APPIA] DARGMINTS Project | Post-doctoral Contract Position

Henrique Lopes Cardoso
[please redistribute; apologies for cross-posting]

********** ********** ********** **********
DARGMINTS Project   |   Post-doctoral Contract Position
********** ********** ********** **********
Applications are open for one postdoctoral research position at the Faculty of Engineering of the University of Porto (FEUP), to develop research work on the topics of Natural Language Processing, Machine Learning, and Argument Mining.

The selected candidate will join the research team of DARGMINTS (Discourse Analysis and Argumentation Mining from Text Sources), a project funded by FCT: https://web.fe.up.pt/~dargmints/

More specifically, the selected candidate will work on cross-lingual models for argument mining, targeting the Portuguese language, and their usage in appealing visualizations and prototypes.

Admission requirements: doctor degree in Informatics Engineering, Computer Science, or other related areas; competence and previous experience in natural language processing, machine learning, and deep learning techniques.

Application deadline: October 29, 2019
Start of the contract: as soon as possible
Workplace: LIACC/FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
LIACC has been evaluated with the maximum grade of Excellent in the last (2018) research labs assessment by FCT, the Portuguese national funding agency for science, research, and technology. Porto is a vibrant city, with a well-established research community, and the University of Porto is one of the largest universities in Portugal.

For more information:
– In English

Any inquiries may be sent to Henrique Lopes Cardoso (hlc@fe.up.pt), PI of the DARGMINTS project.

[rede.APPIA] ECIR2020: Call for Volunteer Reviewers

Ricardo Campos

ECIR2020: Call for Volunteer Reviewers

We would like to invite applications from all members of the information retrieval research community to join and serve on the program committee (PC) of ECIR 2020. This call aims to broaden participation in the review process, and ensure the involvement of young, promising researchers with a strong technical background.  

PC members provide constructive feedback to the authors and a detailed evaluation of 3-4 submissions to PC chairs to help form the technical program of ECIR 2020. Being a reviewer is a serious role as it serves as the frontline to ensure that rigorous, novel, and interesting scientific results get accepted and published while seriously flawed submissions do not. As such, reviewers can shape the progress and the direction of the research field in the long run.  We ask that applicant reviewers be ready to commit serious time and effort in reviewing each submission if accepted into the PC. The reviewing period will start on 15 October 2019 and run over 6 weeks until 30 November 2019.

To be selected as a reviewer, you must be an active researcher having published regularly in peer-reviewed, reputable conferences or journals over the past years, and have demonstrated expertise in one or more research areas in our call for papers.

Deadline: October 10, 2019

 

Apply here: https://forms.gle/cEfsMsFqj2fwD6Nq5

 

[rede.APPIA] CFP: DATA STREAMS TRACK – ACM SAC 2020 (Submission deadline: September 29, 2019)

Carlos Manuel Abreu Gomes Ferreira

*ACM Symposium on Applied Computing *
The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic
March 30 – April 3, 2020
www.sigapp.org/sac/sac2020/
*Data Streams Track *
www.cs.waikato.ac.nz/~abifet/SAC2020/

*Call for Papers *
The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.
*TOPICS OF INTEREST *
We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:
* Real-Time Analytics
* Big Data Mining
* Data Stream Models
* Large Scale Machine Learning
* Languages for Stream Query
* Continuous Queries
* Clustering from Data Streams
* Decision Trees from Data Streams
* Association Rules from Data Streams
* Decision Rules from Data Streams
* Bayesian Networks from Data Streams
* Neural Networks for Data Streams
* Feature Selection from Data Streams
* Visualization Techniques for Data Streams
* Incremental on-line Learning Algorithms
* Single-Pass Algorithms
* Temporal, spatial, and spatio-temporal data mining
* Scalable Algorithms
* Real-Time and Real-World Applications using Stream data
* Distributed and Social Stream Mining
* Urban Computing, Smart Cities
* Internet of Things (IoT)
*IMPORTANT DATES (NEW!) *
1. Submission deadline: September 15 -> September 29
2. Notification deadline: November 10 -> November 24
3. Camera-ready deadline: November 25 -> December 9
*PAPER SUBMISSION GUIDELINES *
Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: www.acm.org/sigs/pubs/proceed/template.html
Important notice:
1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.
If you encounter any problems with your submission, please contact the Program Coordinator.

Carlos Ferreira
[http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png]<www2.isep.ipp.pt/assinatura_email/> ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt<www.isep.ipp.pt>

[rede.APPIA] CFP: DATA STREAMS TRACK – ACM SAC 2020 (Submission deadline: September 29, 2019)

Carlos Manuel Abreu Gomes Ferreira

*ACM Symposium on Applied Computing *
The 35th ACM/SIGAPP Symposium on Applied Computing in Brno, Czech Republic
March 30 – April 3, 2020
www.sigapp.org/sac/sac2020/
*Data Streams Track *
www.cs.waikato.ac.nz/~abifet/SAC2020/

*Call for Papers *
The rapid development in Big Data information science and technology in general and in growth complexity and volume of data in particular has introduced new challenges for the research community. Many sources produce data continuously. Examples include the Internet of Things (IoT), Smart Cities, Urban Computing, sensor networks, wireless networks, radio frequency identification, health-care devices and information systems, customer click streams, telephone records, multimedia data, scientific data, sets of retail chain transactions, etc. These sources are called data streams. A data stream is an ordered sequence of instances that can be read only once or a small number of times using limited computing and storage capabilities. These sources of data are characterized by being open-ended, flowing at high-speed, and generated by non stationary distributions.
*TOPICS OF INTEREST *
We are looking for original, unpublished work related to algorithms, methods and applications on big data streams and large scale machine learning. Topics include (but are not restricted) to:
* Real-Time Analytics
* Big Data Mining
* Data Stream Models
* Large Scale Machine Learning
* Languages for Stream Query
* Continuous Queries
* Clustering from Data Streams
* Decision Trees from Data Streams
* Association Rules from Data Streams
* Decision Rules from Data Streams
* Bayesian Networks from Data Streams
* Neural Networks for Data Streams
* Feature Selection from Data Streams
* Visualization Techniques for Data Streams
* Incremental on-line Learning Algorithms
* Single-Pass Algorithms
* Temporal, spatial, and spatio-temporal data mining
* Scalable Algorithms
* Real-Time and Real-World Applications using Stream data
* Distributed and Social Stream Mining
* Urban Computing, Smart Cities
* Internet of Things (IoT)
*IMPORTANT DATES (NEW!) *
1. Submission deadline: September 15 -> September 29
2. Notification deadline: November 10 -> November 24
3. Camera-ready deadline: November 25 -> December 9
*PAPER SUBMISSION GUIDELINES *
Papers should be submitted in PDF. Authors are invited to submit original papers in all topics related to data streams. All papers should be submitted in ACM 2-column camera ready format for publication in the symposium proceedings. ACM SAC follows a double blind review process. Consequently, the author(s) name(s) and address(s) must NOT appear in the body of the submitted paper, and self-references should be in the third person. This is to facilitate double blind review required by ACM. All submitted papers must include the paper identification number provided by the eCMS system when the paper is first registered. The number must appear on the front page, above the title of the paper. Each submitted paper will be fully refereed and undergo a blind review process by at least three referees. The conference proceedings will be published by ACM. The maximum number of pages allowed for the final papers is 6 pages. There is a set of templates to support the required paper format for a number of document preparation systems at: www.acm.org/sigs/pubs/proceed/template.html
Important notice:
1. Please submit your contribution via SAC 2020 Webpage. 2. Paper registration is required, allowing the inclusion of the paper, poster, or SRC abstract in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for including the work in the ACM/IEEE digital library. No-show of registered papers, posters, and SRC abstracts will result in excluding them from the ACM/IEEE digital library.
If you encounter any problems with your submission, please contact the Program Coordinator.

Carlos Ferreira
[http://www2.isep.ipp.pt/assinatura_email/EMAIL_ISEP.png]<www2.isep.ipp.pt/assinatura_email/> ISEP | Instituto Superior de Engenharia do Porto Rua Dr. António Bernardino de Almeida, 431 4249-015 Porto – PORTUGAL tel. +351 228 340 500 | fax +351 228 321 159 mail@isep.ipp.pt | www.isep.ipp.pt<www.isep.ipp.pt>

[rede.APPIA] DARGMINTS Project | Post-doctoral Contract Position

Henrique Lopes Cardoso
[please redistribute; apologies for cross-posting]

********** ********** ********** **********
DARGMINTS Project   |   Post-doctoral Contract Position
********** ********** ********** **********
Applications are open for one postdoctoral research position at the Faculty of Engineering of the University of Porto (FEUP), to develop research work on the topics of Natural Language Processing, Machine Learning, and Argument Mining.

The selected candidate will join the research team of DARGMINTS (Discourse Analysis and Argumentation Mining from Text Sources), a project funded by FCT: https://web.fe.up.pt/~dargmints/

More specifically, the selected candidate will work on cross-lingual models for argument mining, targeting the Portuguese language, and their usage in appealing visualizations and prototypes.

Admission requirements: doctor degree in Informatics Engineering, Computer Science, or other related areas; competence and previous experience in natural language processing, machine learning, and deep learning techniques.

Application deadline: October 29, 2019
Start of the contract: as soon as possible
Workplace: LIACC/FEUP, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
LIACC has been evaluated with the maximum grade of Excellent in the last (2018) research labs assessment by FCT, the Portuguese national funding agency for science, research, and technology. Porto is a vibrant city, with a well-established research community, and the University of Porto is one of the largest universities in Portugal.

For more information:
– In English

Any inquiries may be sent to Henrique Lopes Cardoso (hlc@fe.up.pt), PI of the DARGMINTS project.