*Task:* We call for automated systems to extract and normalize the findings
in dysmorphology physical examinations. The dataset consists of 3136
de-identified observations with dysmorphic findings manually annotated and
normalized with their corresponding Human Phenotype Ontology (HPO) terms.
Both extraction and normalization are challenging. The extraction due to
the descriptive style of the examinations which, for conciseness, report
findings with disjoint and overlapping mentions. The normalization due to
the large scale of the HPO ontology which requires a normalizer to learn
the task without supervision since our training set does not provide
examples of all terms in the HPO. See
https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-3/
for details.
*Motivation:* The dysmorphology physical examination catalogs minor
morphological differences in patients’ bodies and may identify general
medical signs such as neurologic dysfunction. Its findings enable
correlations of patients with known rare genetic diseases and allow
researchers to delineate undescribed genetic conditions. These medical
findings are nearly always captured as unstructured free text within the
electronic health record, making it unavailable for downstream
computational analysis. Advanced Natural Language Processing methods are
therefore required to retrieve the information from the records.
*In short: *
• 3136 de-identified observations with dysmorphic and normal findings
manually annotated and normalized with their corresponding Human Phenotype
Ontology terms
• Baseline systems available (e.g. doc2HPO, NeuralCR, PhenoTagger,
PhenoBERT, and txt2HPO)
• Codalab opened at https://codalab.lisn.upsaclay.fr/competitions/11351
• Evaluation period: Sept. 15, 9:00 UTC - Sept. 18, 23:59 UTC
[Apologies for cross-posting]
Best regards,
Davy
Apologies for multiple posting
***********************************
*------------------------------------------------------------------------------------------------Machine
Translation for Indian Languages (MTIL)
2023------------------------------------------------------------------------------------------------*
We invite all IR and NLP researchers and enthusiasts to participate in the
MTIL track (https://mtilfire.github.io/mtil/2023/) held in conjunction with
the Forum for Information Retrieval Evaluation (FIRE) 2023 (
http://fire.irsi.res.in/).
Indian languages have many linguistic complexities. Though some Indian
languages share syntactic similarities, some possess intricate
morphological structures. At the same time, some Indian languages are
low-resource. Therefore the machine translation models should address these
unique challenges in translating between Indian languages.
The MTIL track consists of two tasks:
1. *General Translation Task (Task 1):* Task participants should build a
machine translation model to translate sentences of the following language
pairs:
1. Hindi-Gujarati
2. Hindi-Kannada
3. Kannada-Hindi
4. Hindi-Odia
5. Odia-Hindi
6. Hindi-Punjabi
7. Punjabi-Hindi
8. Hindi-Sindhi
9. Urdu-Kashmiri
10. Telugu-Hindi
11. Hindi-Telugu
12. Urdu-Hindi
13. Hindi-Urdu
2. *Domain Specific Translation Task (Task 2)*: Task participants will
build machine translation models for Governance and Healthcare domains.
1. Healthcare:
a. Hindi-Gujarati
b. Kannada-Hindi
c. Hindi-Odia
d. Odia-Hindi
e. Hindi-Punjabi
f. Kannada-Hindi
2. Governance:
a. Hindi-Gujarati
b. Kannada-Hindi
c. Hindi-Odia
d. Odia-Hindi
e. Hindi-Punjabi
f. Kannada-Hindi
*Dataset:*
The primary source of parallel language pairs is Bharat Parallel Corpus
Collection (BPCC), released by AI4Bharat (https://ai4bharat.iitm.ac.in/bpcc
).
Participants are encouraged to add datasets of their choice, including
parallel corpora and monolingual datasets, to train their models.
More information on registration and participation in the track can be
found here: https://mtilfire.github.io/mtil/2023/
This track is being done in association with BHASHINI (
https://bhashini.gov.in/)
*Organisers*
- Prasenjit Majumder, DAIICT Gandhinagar,India and TCG CREST,
Kolkata,India
- Arafat Ahsan, IIIT-Hyderabad,India
- Asif Ekbal, IIT-Patna,India
- Saran Pandian, DAIICT Gandhinagar,India
- Ramakrishna Appicharla, IIT-Patna ,India
- Surupendu Gangopadhyay, DAIICT Gandhinagar,India
- Ganesh Epili, DAIICT Gandhinagar,India
- Dreamy Pujara, DAIICT Gandhinagar,India
- Misha Patel, DAIICT Gandhinagar,India
- Aayushi Patel, DAIICT Gandhinagar,India
- Bhargav Dave, DAIICT Gandhinagar,India
- Mukesh Jha, DAIICT Gandhinagar,India
*** Last Call for Poster Submission ***
19th IEEE eScience Conference (eScience 2023)
October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus
https://www.escience-conference.org/2023/
(*** Submission Deadline: July 14, 2023, AoE ***)
eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of
eScience applications and enabling IT technologies. Its objective is to promote and encourage
all aspects of eScience and its associated technologies, applications, algorithms, and tools,
with a strong focus on practical solutions and open challenges. The conference welcomes
conceptualization, implementation, and experience contributions enabling and driving
innovation in data- and compute-intensive research across all disciplines, from the physical
and biological sciences to the social sciences, arts, and humanities; encompassing artificial
intelligence and machine learning methods; and targeting a broad spectrum of architectures,
including HPC, Cloud, and IoT.
The overarching theme of the eScience 2023 conference is “open eScience”. This year, the
conference is promoting four additional key topics:
• Computational Science for sustainable development
• FAIR
• Research Infrastructures for eScience
• Continuum Computing: Convergence between Cloud Computing and the Internet of Things
(IoT)
The conference is soliciting contributions for Posters (2 pages) showcasing early-stage results
and innovations.
Submitted poster papers should use the IEEE 8.5×11 manuscript guidelines: double-column
text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from
http://www.ieee.org/conferences_events/conferences/publishing/templates.html .
Submissions should be made via the Easy Chair system using the submission link:
https://easychair.org/conferences/?conf=escience2023 .
All submissions will be single-blind peer reviewed. Accepted posters will be presented during
a poster reception. Accepted poster papers will be published in the conference proceedings. At
least one author of each accepted poster must register as an author at the full registration rate.
Each author registration can be applied to only one accepted submission.
AWARDS
eScience 2023 will host the following awards, which will be announced at the conference.
• Best Poster Award
• Best Student Poster Award
• Outstanding Early Career Contribution – this award is associated with poster submissions
and short presentations of attendees in their early career phase (i.e., postdoctoral researchers
and junior scientists).
KEY DATES
• Poster Submissions due: July 14, 2023 (AoE)
• Poster Acceptance Notification: July 24, 2023
• All Camera-ready Submissions due: August 14, 2023
• Author Registration Deadline: August 14, 2023
ORGANISATION
General Chair
• George Angelos Papadopoulos, University of Cyprus, Cyprus
Technical Program Co-Chairs
• Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA
• Rosa Filgueira, University of St Andrews, UK
Organisation Committee
https://www.escience-conference.org/2023/organizers
Steering Committee
https://www.escience-conference.org/about/#steering-committee
Email contact: Technical-Program(a)eScience-conference.org
8th Symposium on Corpus Approaches to Lexicogrammar (LxGr2023)
The symposium will take place online (via MS Teams) on 6-8 July 2023.
Tree days until registration closes (Tuesday 4 July).
Participation is free. The Teams link will be sent to those registered on Wednesday 5 July.
The programme, links to abstracts, and registration details are here:
https://sites.edgehill.ac.uk/lxgr/lxgr2023
If you have any questions, please contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>.
________________________________
Edge Hill University<http://ehu.ac.uk/home/emailfooter>
Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter>
University of the Year, Educate North 2021/21
________________________________
This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>
apologies for cross-posting
==================================================
*CFP: ML/NLP Competition on Automatic Classification of Literary Epochs
(CoLiE)*
To advance the field of implicit temporal information retrieval from a
text, this competition aims to challenge participants to develop automatic
methods to identify the literary epochs of a given text, which is
considered here as an implicit temporal context of a book.
The task on Automatic Classification of Literary Epochs (CoLiE) aims at
automatic identification of the literary epoch of a given text from its
writing style: (1) Romanticism (1798-1837), (2) Victorian Literature
(1837-1901), (3) Modernism (1900-1945), (4) Postmodernism (1945-2000), and
(5) our days (from 2000).
The competition is held as a part of the IACT’23
<https://en.sce.ac.il/news/iact23> workshop, held on July 27, 2023, in
conjunction with the 46th International ACM SIGIR Conference on Research
and Development in Information Retrieval
This competition is open to anyone with a passion for information
retrieval, machine learning, and natural language processing. Whether you
are a seasoned expert or a newcomer to the field, we welcome you to
participate and extend the boundaries of automated text analysis!
Competition site: http://www.kaggle.com/competitions/colie
Competition Timeline
- May 28, 2023: The competition is open to participants. Training and
validation sets together with their labels are available.
- July 10, 2023: Test dataset available.
- July 17, 2023, 23:59 UTC: Final submission deadline.
- July 27, 2023: The winners are announced at the special session at the
IACT'23 <https://en.sce.ac.il/news/iact23> workshop.
*The organizing team*
- Dr. Marina Litvak (marinal(a)ac.sce.ac.il),
Software Engineering Department,
Shamoon College of Engineering, Beer Sheva,
84100, Israel
- Dr. Irina Rabaev (irinar(a)ac.sce.ac.il),
Software Engineering Department,
Shamoon College of Engineering, Beer Sheva,
84100, Israel
- Prof. Ricardo Campos (ricardo.campos(a)ipt.pt),
Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar
INESC TEC, Porto
Porto, Portugal
- Prof. Alípio Mário Jorge (amjorge(a)fc.up.pt)
University of Porto
Porto, Portugal
- Prof. Adam Jatowt (adam.jatowt(a)uibk.ac.at)
University of Innsbruck,
Innsbruck, Austria
- Mr. Vladimir Younkin (vladiyo(a)ac.sce.ac.il),
Software Engineering Department,
Shamoon College of Engineering,
Beer Sheva, Israel
--
Best regards,
Marina Litvak
Final Call for Papers
RANLP 2023 Student Research Workshop
4-6 September 2023
Varna, Bulgaria
https://sites.google.com/view/ranlp-stud-2023/
The International Conference RANLP 2023 (http://ranlp.org/) would like
to invite students at all levels (undergraduate, Master-, and
PhD-students) to present their ongoing or completed work at the Student
Research Workshop (https://sites.google.com/view/ranlp-stud-2023/).
SUBMISSIONS
We invite two types of student submissions:
- Full Papers must describe original unpublished work of the student in
any topic area of the workshop. Full papers are limited to 8 pages for
content, with 2 additional pages for references.
- Short Papers may describe either work in progress or a research
proposal. They may also be in the style of a position paper that surveys
and criticizes existing literature. Short papers must include clear
directions for future research. Submissions of this type are limited to
6 pages for content, with 2 additional pages for references.
All papers must be submitted in .pdf format through the START system
(https://softconf.com/ranlp23/ranlp2023stud/) . The papers should follow
the format of the main conference, described at the RANLP website
(http://ranlp.org/), Submissions page.
All papers must have only student authors. Submissions with non-student
authors will not be considered for review. After eventual acceptance of
the paper, the authors could add their supervisor(s) in the
Acknowledgments Section. The submissions must specify the student’s
level (Bachelor-, Master-, or PhD) and the type of submission (Full or
Short).
Double submission Authors may submit the same paper at several
conferences. In this case, they must notify the organizers by filling in
the corresponding information in the submission form, as well as
notifying the contact organizer by email.
TOPICS OF INTEREST
The aim of this workshop is to facilitate the exchange of knowledge
between young researchers by providing an excellent opportunity to
present and discuss their work and to receive mentorship and valuable
feedback from an international research community. The research to be
presented can come from any topic within Natural Language Processing
(NLP) and Computational Linguistics, including but not limited to the
following:
Computational Social Science and Social Media;
Computer-aided Language Learning;
Dialogue and Interactive Systems;
Discourse and Pragmatics;
Ethics and NLP;
Information Extraction;
Information Retrieval and Text Mining;
Intent Recognition and Detection;
Interpretability and Analysis of Models for NLP;
Language and Vision;
Language Generation;
Language Resources and Corpora;
Linguistic Theories;
Machine Translation and Computer-aided Translation Tools;
Multilingual NLP;
Multimodal Systems;
NLP Applications – Biomedical, Educational, Healthcare, Financial,
Legal, Semantic Web, etc.;
Opinion Mining and Sentiment Analysis;
Phonetics, Phonology, and Morphology;
Question Answering;
Semantics;
Stylistic Analysis;
Sublanguages and Controlled languages;
Syntax: Tagging, Chunking, and Parsing;
Temporal Processing;
Text Categorization;
Text Simplification and Readability Estimation;
Text Summarisation;
Text-to-Speech Synthesis and Speech Recognition;
Textual Entailment.
All accepted papers will be presented at the Student Workshop sessions
(oral or poster) during the main conference days: 4-6 September 2023.
The articles will be issued in a special Student Session proceedings and
uploaded to the ACL Anthology.
IMPORTANT DATES
Submission deadline: 3 July 2023
Acceptance notification: 4 August 2023
Camera-ready deadline: 20 August 2023
Workshop: 4 - 6 September 2023
All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth")
ORGANISERS
Momchil Hardalov (AWS AI Labs, Spain)
Zara Kancheva (Institute of Information and Communication Technologies,
Bulgarian Academy of Sciences, Bulgaria)
Boris Velichkov (Faculty of Mathematics and Informatics at Sofia
University “St. Kliment Ohridski”, Bulgaria)
Ivelina Nikolova-Koleva (Institute of Information and Communication
Technologies, Bulgarian Academy of Sciences, and Sirma AI, Bulgaria)
Milena Slavcheva (Institute of Information and Communication
Technologies, Bulgarian Academy of Sciences, Bulgaria)
The Industry Day of CIKM ’23 will be held on Sunday 22nd Oct 2023 in Birmingham, UK. As
with the main conference, which will be held on-site, we anticipate that all presentations
for the Industry Day will be delivered in person. Exceptions may be made in case of severe
travelling restrictions.
We call for technical talks which will cover how topics of interest relevant to the
broader CIKM community, including but not limited to knowledge management, information
retrieval, efficient data processing, neural and large language models, evaluation,
recommender systems, data mining, and others found in the CIKM ‘23 Call for Papers are
used in an industrial setting. For example, how machine learning is put to use in
practical scenarios, how user behaviour can be observed and interpreted, how to improve
systems in practice, how industrial pipelines can be optimised, and how scale is a
challenge in more ways than the obvious. We also encourage talk proposals from small
companies, such as startups or spin-offs from either a university project or a large
company
Talks may address challenges, solutions, and case studies of interesting and innovative
systems in areas including but not limited to:
* Innovative approaches used in deployed systems and product
* System design from industry practitioners which identify best practices and design
principles for machine learning systems and their scalability aspects
* Metrics and measurement techniques used to understand performance of production systems
* Practical challenges such as data, privacy, integrity, scale, regulation, etc.
* Domain specific challenges and niche focuses
* Connections with academia to solve interesting problems, including talk proposals from
academics spending time in industry, or vice-versa, covering insights for other
practitioners
The authors of accepted proposals will be invited to submit an abstract to be published in
the conference proceeding. Each presentation will be 15-20 minutes long including
Q&A. Submissions should include:
- Title and abstract
- Speaker's bio
- Relevance to above themes and CIKM topics
- CIKM is a technical conference, so preference will be given to talks describing applied
research and technical challenges rather than product presentations.
- Speakers will be asked to confirm their presence at the conference if their submission is
accepted.
Submission Instructions
------------------------
Proposals should be at most 2 pages and follow the ACM format. Formatting guidelines are
available at the ACM Website (use the ˮsigconf” proceedings template).
https://www.acm.org/publications/proceedings-template
Submissions are not anonymous and should contain speaker details. Proposals should be
submitted electronically via EasyChair: https://easychair.org/my/conference?conf=cikm23
Important Dates:
-----------------
- All deadlines are at 11:59pm in the Anywhere on Earth time zone.
- Submissions Due: July 14, 2023
- Notifications: August 11, 2023
- Camera ready for abstracts (no exceptions): August 18, 2023
Industry Day Chairs
Jiyin He, Signal AI, UK
Jeremy Pickens, Redgrave Data, USA
Udo Kruschwitz, University of Regensburg, Germany
Contact: cikm2023-industry(at)easychair.org
Apologies for cross posting
,
We are delighted to announce the Call for
Papers for the upcoming Second International Conference on Speech &
Language Technology for Low-resource Languages (SPELLL 2023), scheduled to
be held on 06-08 December 2023 at Kongu Engineering College, Erode, Tamil
Nadu, India. The previous edition, SPELLL 2022 was held at Sri
Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25
November, 2022. The proceedings of the first edition have been published in
the Springer series: Communications in Computer and Information Science
(CCIS). This proceedings can be accessed via
https://link.springer.com/book/10.1007/978-3-031-33231-9.
We would like to invite you to submit your research work and
contribute to the success of the second edition, SPELLL 2023
<http://spelll.org/callforpapers.html>. SPELLL 2023 aims to bring together
researchers, experts, and practitioners from diverse fields to foster
intellectual discussions, exchange knowledge, and explore innovative
solutions to the challenges of NLP. This interdisciplinary conference will
provide a platform for participants to present their latest research
findings, engage in vibrant discussions, and build valuable collaborations.
Conference Link: http://spelll.org/ <http://spelll.org/committee.html>CALL
FOR PAPERS
This conference aims at bringing together researchers from across the world
working on low-resourced and minority languages to create more speech and
language technology for languages of the world.
We invite submissions on topics that include, but are not limited to, the
following:
Track 1 - Language Resources (LRs)
- Lexicons and machine-readable dictionaries
- Linguistic Theories, Phonology, Morphological analysis, Syntax and
Semantics
- Corpus development, tools, analysis and evaluation
- Issues in the design, construction and use of LRs: text, speech,
sign, gesture, image, in single or multimodal/multimedia data
- Exploitation of LRs in systems and applications
- Annotation, analysis, enrichment of text archives
Track 2 - Language Technologies (LT)
- Code-mixing
- Cognitive modeling and psycholinguistics
- Computer-assisted language learning (call)
- Covid-19 alert, NLP applications for emergency situations and
crisis management
- Equality, diversity, and inclusion for language technology
- Fake news, spam, and rumour detection
- Hate speech detection and offensive language detection
- Machine translation, sentiment analysis, and text summarization
- Text and data mining for social sciences and humanities research
- Text and data mining of (bio) medical literature, including
pandemics
- Knowledge representation and reasoning
- Knowledge graphs for corpora processing and analysis
- Applications for language, data and knowledge
- Question answering and semantic search
- Text analytics on big data
- Semantic content management
- Computer-aided language learning
- Natural language interfaces to big data
- Knowledge-based NLP
Track 3 - Speech Technologies (ST)
- Speech technology and automatic speech recognition
- Spoken dialog systems and analysis of conversation
- Spoken language processing — translation, information retrieval,
summarization resources and evaluation
- Speaker verification and identification
- Multimodal/multimedia speaker recognition and diarization
- Analysis of speech and audio signals
- Speech coding and enhancement
- Speech recognition - architecture, search, and linguistic components
- Speech, voice, and hearing disorders
- Speech synthesis and spoken language generation
- Cross-lingual and multilingual components for speech recognition /
code switching
Track 4 - Other related topics
- Analysis of para-linguistics in speech and language
- Multimodal analysis
- Visualisation of social sciences and humanities research
------------------------------
SUBMISSION GUIDELINES
Regular Papers
Regular submissions must describe substantial, original, completed and
unpublished work. Wherever appropriate, concrete evaluation and analysis
should be included.
Regular papers may consist of 12 - 15 pages of content including
references. However, page restrictions will not be followed strictly, if
the authors wish to have more explanation of their work.
Short Papers
SPELLL 2023 also solicits short papers. Short paper submissions must
describe original and unpublished work. Short papers should have a point
that can be made in a few pages. Some kinds of short papers are:
- A small, focused contribution
- Work in progress
- Experience notes
Short papers may consist of 6 - 8 pages including references. Short papers
will be presented in one or more oral or poster sessions. While short
papers will be distinguished from regular papers in the proceedings, there
will be no distinction in the proceedings between short papers presented
orally and as posters. However, page restrictions will not be followed
strictly, if the authors wish to have more explanation of their work.
Review Policy
All submissions to SPELLL 2023 will be reviewed on the basis of
originality, relevance, importance and clarity by at least two reviewers.
The review process will be double blind and the authors should refer to
themselves in third person when citing their own work. Phrases like "In our
earlier work..." or "We previosuly showed that..." should be avoided when
submitting the paper for review.
*Author Guidelines*
- Authors must follow the Springer LNCS formatting instructions.
- For camera-ready papers use Latex or Word style
<http://preview.springer.com/gp/computer-science/lncs/conference-proceedings…>
provided
on the authors' page for the preparation of papers.
- The LaTeX Proceedings Template for scientific authoring platform in
Overleaf.
<https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…>
- Each paper will receive at least three reviews. At least one author of
each accepted paper must register by the early registration date indicated
on the conference website and present the paper.
------------------------------
Important Dates
Paper Submission Due: *July 20, 2023.*
Acceptance Notification: *September 20, 2023.*
Camera Ready Submission: *October 15, 2023.*
Conference: *December 06-08, 2023.*
PUBLICATION
Accepted papers that are presented at the conference will be published in
the Springer series: Communications in Computer and Information Science
(CCIS).
with regards,
Dr. Bharathi Raja Chakravarthi,
Assistant Professor / Lecturer-above-the-bar
School of Computer Science, University of Galway, Ireland
Insight SFI Research Centre for Data Analytics, Data Science Institute,
University of Galway, Ireland
E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie
<bharathiraja.asokachakravarthi(a)universityofgalway.ie>
Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en
Website:
https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…
2024 Volume 65-1 - regular issue
Deadline for submission: on the fly until December 31, 2023
Editors : Maxime Amblard, Cécile Fabre, Emmanuel Morin et Sophie Rosset
NEW
Non-thematic issues of the Automatic Language Processing journal become "on the fly". Thus, each article in issue 65-1 will be evaluated as soon as it is submitted and will be published, subject to its acceptance, within an indicative period of six months after its submission. The call for volume 65-1 is thus open until December 31, 2023.
TOPICS
The journal Automatic Language Processing has an open call for papers. Submissions may concern theoretical and experimental contributions on all aspects of written, spoken, and signed language processing and
computational linguistics, both theoretical and experimental, for example:
- Computational models of language
- Linguistic resources
- Statistical learning and modeling
- Intermodality and multimodality
- Language multiplicity and diversity
- Semantics and comprehension
- Information access and text mining
- Language production and processing/generation/synthesis
- Evaluation
- Explicability and reproducibility
- NLP in interaction with other disciplines, digital humanities
This list is indicative. On all topics, it is essential that the aspects related to natural language processing are emphasized.
We also welcome position papers and survey papers.
LANGUAGE
Manuscripts may be submitted in English or French.
THE JOURNAL
TAL (http://www.atala.org/revuetal_ <http://www.atala.org/revuetal_> - Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing) since 1960 with the support of CNRS (National Centre for Scientific Research). TAL has an electronic mode of publication.
IMPORTANT DATES
Deadline for submission: on the fly until December 31, 2023
Notification to authors after first review: two months after submission
Notification to authors after second review: two months after the first review
Publication: two months after the second review
FORMAT SUBMISSION
Papers must be between 20 and 25 pages long, including references and appendices (with no possible derogation on the length).
TAL performs double-blind review: it is thus necessary to anonymise the manuscript and the name of the pdf file and to avoid self references.
Style sheets are available for download on the Web site of the journal (https://www.atala.org/content/instruction-authors-style-files-0 <https://www.atala.org/content/instruction-authors-style-files-0>).
Authors who intend to submit a paper are encouraged to upload your contribution via the menu "Paper submission" (PDF format). To do so, you will need to have an account on the sciencesconf platform. To create an account, go to the site _http://www.sciencesconf.org <http://www.sciencesconf.org/> and click on "create account" next to the "Connect" button at the top of the page. To submit, come back to the page (soon available)
http://tal-65-1.sciencesconf.org/ <http://tal-65-1.sciencesconf.org/>, connect to you account and upload your submission.
*Timelines:*
- May 1st: 2023 queries released to participants for all tasks
- August 1st: Submissions close for all tasks
- November 12-14th: TREC conference
*Website and task details:* https://trec-product-search.github.io/
*Trec task Registration:*
https://ir.nist.gov/trecsubmit.open/application.html
*Introduction:*
The Product Search Track studies information retrieval in the field of
product search. This is the case where there is a corpus of many products
where the user goal and intent is to find the product that suits their need.
The main goal of the Trec Product Search Track is to study how end to end
retrieval systems can be built and evaluated given a large set of products.
*Track Tasks:*
The product search track has three tasks: *ranking*, *end to end retrieval,*
and* multi modal end to end retrieval*. You can submit up to three runs
for each of these tasks.
Each track uses the same training data originating from the ESCI Challenge
for Improving Product Search and shares the same set of evaluation queries.
Below the three tasks are described in more detail.
*Product Ranking Task*
The first task focuses on product ranking. In this task we provide an
initial ranking of 1000 documents from a BM25 baseline and you are expected
to re-rank the products in terms of their relevance to the users given
intent.
The ranking provides a focused task where the candidate sets are fixed and
there is no need to implement complex end to end systems which makes
experimentation quick and runs easily comparable.
*Product Retrieval Task*
The second task focuses on end to end product retrieval. In this task we
provide a large collection of products and participants need to design end
to end retrieval systems which leverage whichever information they find
relevant/useful.
Unlike the ranking task, the focus here is in understanding the interplay
between retrieval and reranking systems.
*Multi-Modal Product Retrieval Task*
The third task focuses on end to end product retrieval using multiple
modalities. In this task we provide a large collection of products where
each product features additional attributes and information such as related
clicks and images and participants need to design end to end retrieval
systems which leverage whichever information they find relevant/useful.
The focus of this task is to understand the interplay between different
modalities and the value which additional potentially weak data provides.
*Timelines:*
- May 1st: 2023 queries released to participants for all tasks
- August 1st: Submissions close for all tasks
- November 12-14th: TREC conference
*Coordinators*
- Daniel Campos (University of Illinois)
- Surya Kallumadi(Lowes)
- Corby Rosset (Microsoft)
- ChengXiang Zhai (University of Illinois)
- Alessandro Magnani (Walmart)
For any questions, comments, or suggestions please email
dcampos3(a)illinois.edu
*Website and details:* https://trec-product-search.github.io/
*Trec task Registration:*
https://ir.nist.gov/trecsubmit.open/application.html