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Text2Story 2024 : Seventh International Workshop on Narrative Extraction from Texts


When Mar 24, 2024 - Mar 24, 2023
Where Glasgow, Scotland
Submission Deadline Jan 10, 2024
Notification Due Feb 23, 2024
Final Version Due Mar 15, 2024
Categories    NLP   computational linguistics   text mining   artificial intelligence

Call For Papers



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

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

2024 – Glasgow, Scotland



Important Dates ++

Submission Deadline: January 10th, 2024

Acceptance Notification: February 23rd, 2024

Camera-ready copies: March 15th, 2024

Workshop: March 24th, 2024

Overview ++

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 ++

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:

Extraction Aspects

Temporal Relation Identification

Temporal Reasoning and Ordering of

Causal Relation Extraction and Arrangement

Big Data Applied to Narrative Extraction


Annotation protocols

Narrative Representation Models

Lexical, Syntactic, and Semantic
Ambiguity in Narrative Representation

Analysis and Generation

Argumentation Analysis

Language Models and Transfer Learning
in Narrative Analysis

Narrative Analysis in Low-resource

Multilinguality: Multilingual and
Cross-lingual Narrative Analysis

Comprehension of Generated Narratives

Story Evolution and Shift Detection

Automatic Timeline Generation

and Evaluation Protocol

Evaluation Methodologies for Narrative

Annotated datasets

Narrative Resources

and Bias in Narratives

Bias Detection and Removal in Generated

Ethical and Fair Narrative Generation

Misinformation and Fact Checking


Narrative-focused Search in Text

Narrative Summarization

Narrative Q&A

Multi-modal Narrative Summarization

Sentiment and Opinion Detection in

Social Media Narratives

Narrative Simplification

Personalization and Recommendation
of Narratives

Storyline Visualization

Dataset ++

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
The article itself is available at this link:

Submission Guidelines ++

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;

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 ++

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

Invited Speakers ++

L. Leidner, Coburg University
of Applied Sciences, Germany

Lapata, University of Edinburgh, Scotland

Organizing committee ++

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

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

Jatowt (University of Innsbruck, Austria)

Bhatia (Media and Data Science Research Lab, Adobe)

Litvak (Shamoon Academic College of Engineering, Israel)

Proceedings Chair ++

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


Web and Dissemination Chair ++

Sousa (INESC TEC & University of Porto)

Mansouri (Rochester Institute of Technology)

Program Committee ++

Álvaro Figueira (INESC TEC & University
of Porto)

Andreas Spitz (University of Konstanz)

Antoine Doucet (Université de La

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

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

Deya Banisakher (Florida International

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

Ismail Altingovde (Middle East Technical

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

Marc Spaniol (Université de Caen

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 ++


general inquiries regarding the workshop, reach the organizers at:

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