++
CALL FOR PAPERS ++

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Seventh
International Workshop on Narrative Extraction from Texts (Text2Story'24)


Held
in conjunction with the 46th European Conference on Information Retrieval (ECIR'24)

March
24th,
2024 – Glasgow, Scotland

Website:
https://text2story24.inesctec.pt

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++
Important Dates ++

-
Submission Deadline: January 10th, 2024


-
Acceptance Notification: February 23rd, 2024

-
Camera-ready copies: March 15th, 2024

-
Workshop: March 24th, 2024



++
Overview ++

Over
these past years, significant breakthroughs, led by Transformers and Large Language Models (LLMs), have been made in understanding natural language text. However, the ability to capture, represent, and analyze contextual nuances in longer texts is still an
elusive goal, let alone the understanding of consistent fine-grained narrative structures in text. In the seventh edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and
in incorporating their representation in well-established frameworks, as well as in modern architectures (e.g., transformers) and AI-powered language models (e.g, chatGPT) which are now common and form the backbone of almost every IR and NLP application. It
is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task.



++
List of Topics ++

Research
works submitted to the workshop should foster the scientific advance on all aspects of storyline generation and understanding from texts including but not limited to narrative information extraction aspects, narratives representation, knowledge extraction,
ethics and bias in narratives, datasets and evaluation protocols and narrative applications such as visualization of narratives, multi-modal aspects, Q&A, etc. To this regard, we encourage the submission of high-quality and original submissions covering the
following topics:

Information
Extraction Aspects



Temporal Relation Identification



Temporal Reasoning and Ordering of
Events



Causal Relation Extraction and Arrangement



Big Data Applied to Narrative Extraction

Narrative
Representation



Annotation protocols



Narrative Representation Models



Lexical, Syntactic, and Semantic
Ambiguity in Narrative Representation

Narrative
Analysis and Generation



Argumentation Analysis



Language Models and Transfer Learning
in Narrative Analysis



Narrative Analysis in Low-resource
Languages



Multilinguality: Multilingual and
Cross-lingual Narrative Analysis



Comprehension of Generated Narratives



Story Evolution and Shift Detection



Automatic Timeline Generation

Datasets
and Evaluation Protocol



Evaluation Methodologies for Narrative
Extraction



Annotated datasets



Narrative Resources

Ethics
and Bias in Narratives



Bias Detection and Removal in Generated
Stories



Ethical and Fair Narrative Generation



Misinformation and Fact Checking

Narrative
Applications



Narrative-focused Search in Text
Collections



Narrative Summarization



Narrative Q&A



Multi-modal Narrative Summarization



Sentiment and Opinion Detection in
Narratives



Social Media Narratives



Narrative Simplification



Personalization and Recommendation
of Narratives



Storyline Visualization


++
Dataset ++

We
challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset - published at ECIR'21 - under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the
Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks
(e.g., Q&A), especially when combined with Large Language Models (LLMs) like ChatGPT. A script to reconstruct and expand the dataset is available at
https://github.com/LIAAD/tls-covid19.
The article itself is available at this link:
https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33




++
Submission Guidelines ++

We
solicit the following types of contributions:



Full papers

up to 8 pages + references

Original and high-quality unpublished
contributions to the theory and practical aspects of the narrative extraction task. Full papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that
did not get the expected outcome are also welcomed.



Short papers

up to 5 pages + references

Unpublished short papers describing
work in progress; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously
published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue.



Demos | Resource Papers

up to 5 pages + references

Unpublished papers presenting
research/industrial demos; papers describing important resources (datasets or software packages) to the text2story community;

Submissions
will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights.



++
Workshop Format ++

Participants
of accepted papers will be given 15 minutes for oral presentations.



++
Invited Speakers ++

Jochen
L. Leidner, Coburg University
of Applied Sciences, Germany

Mirella
Lapata, University of Edinburgh, Scotland



++
Organizing committee ++

Ricardo
Campos (INESC TEC; University of Beira Interior, Covilhã, Portugal)

Alípio
M. Jorge (INESC TEC; University of Porto, Portugal)

Adam
Jatowt (University of Innsbruck, Austria)

Sumit
Bhatia (Media and Data Science Research Lab, Adobe)

Marina
Litvak (Shamoon Academic College of Engineering, Israel)



++
Proceedings Chair ++

João
Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior)

Conceição
Rocha (INESC TEC)



++
Web and Dissemination Chair ++

Hugo
Sousa (INESC TEC & University of Porto)

Behrooz
Mansouri (Rochester Institute of Technology)



++
Program Committee ++

Álvaro Figueira (INESC TEC & University
of Porto)

Andreas Spitz (University of Konstanz)

Antoine Doucet (Université de La
Rochelle)

António Horta Branco (University
of Lisbon)

Anubhav Jangra (IIT Patna, Japan)

Arian Pasquali (Faktion AI)

Bart Gajderowicz (University of Toronto)

Begoña Altuna (Universidad del País
Vasco)

Behrooz Mansouri (Rochester Institute
of Technology)

Brenda Santana (Federal University
of Rio Grande do Sul)

Bruno Martins (IST & INESC-ID, University
of Lisbon)

Brucce dos Santos (Computational
Intelligence Laboratory (LABIC) - ICMC/USP)

David Semedo (Universidade NOVA de
Lisboa)

Deya Banisakher (Florida International
University)

Dhruv Gupta (Norwegian University
of Science and Technology)

Evelin Amorim (INESC TEC)

Henrique Lopes Cardoso (LIACC & University
of Porto)

Ignatius Ezeani (Lancaster University)

Irina Rabaev (Shamoon College of
Engineering)

Ismail Altingovde (Middle East Technical
University)

João Paulo Cordeiro (INESC TEC &
University of Beira Interior)

Liana Ermakova (HCTI, Université
de Bretagne Occidentale)

Luca Cagliero (Politecnico di Torino)

Ludovic Moncla (INSA Lyon)

Luis Filipe Cunha (INESC TEC & University
of Minho)

Marc Finlayson (Florida International
University)

Marc Spaniol (Université de Caen
Normandie)

Mariana Caravanti (Computational
Intelligence Laboratory (LABIC) - ICMC/USP)

Moreno La Quatra (Kore University
of Enna)

Natalia Vanetik (Sami Shamoon College
of Engineering)

Nuno Guimarães (INESC TEC & University
of Porto)

Pablo Gervás (Universidad Complutense
de Madrid)

Paulo Quaresma (Universidade de Évora)

Purificação Silvano (CLUP & University
of Porto)

Ross Purves (University of Zurich)

Satya Almasian (Heidelberg University)

Sérgio Nunes (INESC TEC & University
of Porto)

Sriharsh Bhyravajjula (University
of Washington)

Udo Kruschwitz (University of Regensburg)

Valentina Bartalesi (ISTI-CNR, Italy)



++
Contacts ++

Website:
https://text2story24.inesctec.pt

For
general inquiries regarding the workshop, reach the organizers at: text2story2024@easychair.org

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