EVENT REPORT

Report on the 6th International Workshop on
Narrative Extraction from Texts(Text2Story 2023) at ECIR 2023
Ricardo Campos

Alı́pio M. Jorge

Adam Jatowt

INESC TEC & IPT
Portugal

INESC TEC & FCUP
Portugal

Univ. of Innsbruck
Austria

ricardo.campos@ipt.pt

amjorge@fc.up.pt

jatowt@acm.org

Sumit Bhatia

Marina Litvak

Media and Data Science Research Lab, Adobe
India

Shamoon College of Engineering
IsraelSumit.Bhatia@adobe.com

litvak.marina@gmail.com

João Paulo Cordeiro

Conceição Rocha

Hugo Sousa

INESC TEC & Univ. of Beira InteriorPortugal

INESC TEC
Portugal

INESC TEC
Portugal

Behrooz Mansouri
University of Southern Maine
USA

Abstract
The Sixth International Workshop on Narrative Extraction from Texts (Text2Story’23) was
held on April 2nd , 2023, in conjunction with the 45th European Conference on Information
Retrieval (ECIR 2023) in Dublin, Ireland. Continuing the tradition of past years, the workshop was held as a hybrid event. Online participation was allowed using the Zoom platform.
During the course of the day, more than 50 attendees had the opportunity to follow up anddiscuss the recent advances in topics related to representation, extraction, and generationof narratives. The workshop program included two invited keynotes and nineteen paper
presentations. The proceedings of the workshop are available online 1 .
Date: 2 April 2023.
Website: https://text2story23.inesctec.pt/.
1

https://ceur-ws.org/Vol-3370/

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Introduction

The Text2Story workshop series was established with the primary objective of bringing together researchers from diverse but related fields such as Information Retrieval, Natural Language Processing, Computational Linguistics, Artificial Intelligence, Human-Computer Interaction, and Data
Visualization to share the recent advances in their respective fields towards narrative understanding. Building upon the success of the past editions [Jorge et al., 2018, 2019a; Campos et al.,2020, 2021, 2022] and on the Text2Story Special Issue at IPM Journal [Jorge et al., 2019b], thisyear, we organized the sixth edition of the Text2Story workshop, held as a hybrid event under theumbrella of ECIR 2023. Figure 1 captures the organizers and a few of the 50 participants of theworkshop.

Figure 1. Organizers and participants at the Text2Story 2023 Workshop coming together for a group
picture.

This report provides an overview of the main activities that took place during the workshop.
Despite the hybrid format of this year’s edition, with both physical and virtual attendance options, the attendees’ enthusiastic engagement ensured that it was just as intellectually stimulating
as previous editions. A total of 32 valid submissions were received, with 9 papers accepted in
the research track. In addition, 10 papers were accepted in the demos, work-in-progress, anddissemination track, providing a platform for researchers to share ongoing work and disseminate
previously published works from other venues. The final program comprised 19 papers, along with
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two invited keynote talks and a vibrant and participated demo session. The presentation slides andthe videos of the talks at the workshop can be found at https://text2story23.inesctec.pt/.

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The Program

The workshop program consisted of two invited keynote talks and nine research track papers.
In addition, ten papers were selected in the demo and work-in-progress categories along with
dissemination papers to allow for wider sharing of published work in other venues. We now
present a brief overview of the works presented at the workshop.

2.1

KeynotesDr. Georgiana Ifrim, from University College Dublin, Ireland, shared her work on the problem
of creating structured summaries of news in the form of timelines [Ifrim, 2023]. Timelines are highly
useful for news consumers as they present the most important topics and events in chronologicalorder. Generating such timelines automatically from large-scale news corpora is a challenging
task. Dr. Ifrim provided an overview of the major challenges followed by a survey of high-levelapproaches for timeline summarization. She then presented her work to address the problem andconcluded with various qualitative examples of the structured timeline summaries thus generated.
The second keynote by Valentina Bartalesi, a researcher at the CNR-ISTI, Italy, presented
the idea of Semantic Story Maps – online interactive maps enriched with text, pictures, videos,
and other multimedia information, that convey a story over a territory [Bartalesi, 2023]. She
presented their work on a semi-automatic workflow that utilizes Semantic Web technologies andontological information to produce semantic story maps from textual documents. Finally, various demonstrations of story maps covering diverse topics such as medieval journeys, biologicalprocesses, and stories of historical legends were presented.

2.2

Full Papers Research Track

The papers in the full paper research track of the workshop spanned a variety of topics ranging
from fundamental advances in narrative models to applications in news, clinical domain, andvideo recommendations. Costa and Nunes [2023] explored the idea of using visual representationsof narratives to aid better data understanding. They presented NewsLine, an open-source webbased prototype, that produces narrative visualizations of news content and allows the end-users
to play with different elements of the narrative (events, actors, etc.) in various ways. The ideaof visual representation of narratives was also presented by Silvano et al. [2023]. They describeda comprehensive annotation scheme and showed with qualitative examples how it can be used totag and link key events in news items thereby helping the readers grasp how the events relate
to the underlying story. Gervás [2023] argued that events in a complex narrative often include
events beyond simple facts and often represent the worldview of different story characters. Thus,
events in a complex narrative may be reported in different modes. He presented a constituency
parsing-based approach to identify spans in the narrative text corresponding to different reporting
modes. Saiz and Altuna [2023] presented their approach for temporal relation extraction in theclinical domain.
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Liu et al. [2023] presented a novel task of classifying movies based on their story types. Theydeveloped a manually annotated dataset of 45 movies labeled based on their story type andpresented a machine-learning solution to classify the movies into different story types. GonzálezGarcı́a et al. [2023] applied the concepts of semantic storytelling in the context of automated speech
assistants. They augment the answers provided by the automated assistant by recommending
additional information to be shared with end-user to help them better understand the answers
and related information.
A number of papers in the track dealt with the important problem of biased and harmful
narratives. Tavakoli et al. [2023] presented their analysis of the readability of true and false content and reported that incorrect claims on the web are often harder to read than true claims.
Onyepunuka et al. [2023] presented a case study of YouTube’s video recommendation algorithm
and observed specific biases in YouTube’s recommendation algorithm where the recommended
videos slowly drift from the topic of the seed videos. Vanetik et al. [2023] studied the problem ofdetecting negative campaigns in elections – those that focus on negative aspects of the competing
candidate. They report that, to some extent, the lack of training data for detecting negative campaigns in low-resourced languages, such as Hebrew, can be compensated for by utilizing datasetsfor detecting offensive language in the same or other languages.

2.3

Ongoing Research Efforts and Resource Papers

The workshop also included special tracks for work-in-progress, demos, resources, and position
papers to offer a platform for authors to share initial results of their research efforts and gather
useful feedback from the community, demonstrate their research prototypes, introduce datasetsand discuss a research vision or a reasoned opinion on the workshop topics. The following ten
papers were selected in this track.
2.3.1

Work-in-Progress

Ruggeri et al. [2023] provides a comprehensive overview of the challenges of subjectivity detection
and presents a case study to prove how a prescriptive annotation approach can improve languageagnostic subjectivity detection results. Kanjirangat and Antonucci [2023] describes a work inprogress for the unsupervised labeling of edges in narrative knowledge graphs. They detect edges
between two entities (characters in a novel) based on the verbs in the sentences. To label thedetected edges they utilize a combination of word embedding based clustering and synsets fromWordNet. Sami et al. [2023a] attempted to analyze a fundamental problem in storytelling, thatis to help users navigate arguments presented in a news article. In this regard, they presented
a theory of mapping 5Ws (Who, Where, What, When and Why) and Aristotle’s Rhetoric into
the format of Joseph Campbell’s The Hero’s Journey as a structural story template to assist in
automatic understanding of the structure of news and evaluated the approach via cognitive reading
and writing user experiment tasks.

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2.3.2

Position Papers

Palma [2023] aims to attract attention towards modeling the story’s interestingness and to initiate
a discussion about the re-framing of computational narratology in its needs. In this regard, theauthor suggests modeling stories as L-Systems and Magic Squares.
2.3.3

Resource Papers

Alrashid and Gaizauskas [2023] presents a new dataset, the ScANT corpus, containing the annotation of 14 chapters, from 6 sources (two children’s books and four adult novels), using theSceneML framework, an annotation language developed by the authors for annotating scenes
in narrative text. The annotation was made by two native English-speaking PhD students in
English Literature and Computational Linguistics. About 2,800 sentences were annotated andanalyzed according to the classes of the guidelines. Piskorski et al. [2023] presents a new corpus
consisting of circa 4.5K news snippets labeled with fine-grained infectious disease-related event
types, which can serve as a resource for training and building ML-based models for event detection/classification in epidemics-related online news. The manual annotation was performed by 7
experienced annotators following a consistent approach using a codebook.
2.3.4

Demo Papers

Ezeani et al. [2023] presents the application of NLP tools on annotating and mining document
collections primarily in the area of digital humanities to obtain a humanistic point of view ofimprecise geographical locations and their relations with respect to time and human sentiment.
Experiments were made using the English Lake District corpus. Veale [2023] describes a systemcalled Excelsior! that generates engaging data-driven comic strips that integrate two sides of aparticular argument into a single visual narrative. The objective is to expose people to both sidesof the argument and prevent current challenges like echo chambers and factionalism on social
media platforms. The paper outlines the use of comic strips as a narrative medium to balance
two points of view. Sami et al. [2023b] describes a demo system, named Terms Board (TB),
that can be used to help writers in story planning. The system works over a fixed collection of
documents (e.g. a news collection) and the user can insert a query to obtain results. The results
are presented in a graphical interface, organized in 6 different panels (who, where, what-topics,
what-actions, why-positives, and why-negatives). To evaluate the system for story writing, an
online experiment with 32 participants was organized. Finally, Bartalesi et al. [2023] presents
the Story Map Building and Visualizing Tool, a user-friendly web interface that allows a user to
input the subject of a story which is then populated with suggestions for entities in Wikipedia
and Wikidata. The demonstration laid out in the paper shows the following three scenarios:
1. allowing the user to pick relevant aspects of the story from the recommended entities andother suggestions;
2. search-based functionality to retrieve relevant stories; and3. finally a geo-spatial map-based interface for portraying relevant storylines of an entity or an
event.

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Key Contributors

The Program Chairs were Ricardo Campos, Alı́pio Jorge, Adam Jatowt, Sumit Bhatia, and Marina
Litvak. The proceedings were setup by our Proceedings Chairs João Paulo Cordeiro and ConceiçãoRocha. Hugo Sousa and Behrooz Mansouri were the web and dissemination chairs. Jochen Leidner(Coburg University) and Purificação Silvano (CLUP & University of Porto) also chaired technicalsessions at the workshop.
Finally, we would like to acknowledge the effort and valuable contribution of the researchers
and industry experts that have served on the Program Committee of the Text2Story’23 workshop.
Our thanks go to:• 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)• Arian Pasquali (Faktion AI)• Bart Gajderowicz (University of Toronto)• Begoña Altuna (Universidad del Paı́s Vasco)• Behrooz Mansouri(Rochester Institute of Technology)• Brenda Santana (Federal University of Rio Grande do Sul)
• Bruno Martins (IST & INESC-ID, University of Lisbon)• Daniel Loureiro (Cardiff University)• Dennis Aumiller (Heidelberg University)• Dhruv Gupta (Norwegian University of Science and Technology)• Dyaa Albakour (Signal UK)• Evelin Amorim (INESC TEC)
• Henrique Lopes Cardoso (LIACC & University of Porto)• Hugo Sousa (INESC TEC & University of Porto)• Ismail Altingovde (Middle East Technical University)• Irina Rabaev (Shamoon College of Engineering)• Jiexin Wang (South China University of Technology, China)• João Paulo Cordeiro (INESC TEC & University of Beira Interior)• Kiran Bandeli (Walmart Inc.)• 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)• Moreno La Quatra (Politecnico di Torino)• Natalia Vanetik (Shamoon College of Engineering)• Nuno Guimarães (INESC TEC & University of Porto)• Pablo Gamallo (University of Santiago de Compostela)• Pablo Gervás (Universidad Complutense de Madrid)
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• Paulo Quaresma (Universidade de Évora)• Paul Rayson (Lancaster University)• Purificação Silvano (CLUP & University of Porto)• Raghav Jain (Indian Institute of Technology, Patna)• Ross Purves (University of Zurich)• Satya Almasian (Heidelberg University)• Sérgio Nunes (INESC TEC & University of Porto)• Simra Shahid (Adobe’s Media and Data Science Research Lab)
• Sriharsh Bhyravajjula (University of Washington)• Udo Kruschwitz (University of Regensburg)• Valentina Bartalesi (ISTI-CNR, Italy)• Veysel Kocaman (John Snow Labs & Leiden University)• Wenzhi Cao (University of Wisconsin, USA)
• Yang Zhang (Southwestern University of Finance and Economics, China)

4

Recognition Awards

The workshop ended with the announcement of the recognition awards. The Text2Story 2023
Best Paper Award went to the paper entitled Multi-label Infectious Disease News Event Corpus
by Piskorski et al. [2023]. In addition to this, the workshop chairs have recognized the following
researchers as recipients of the 2023 reviewer award for their insightful and valuable reviews.
• Andreas Spitz• Bruno martins• Dennis Aumiller• Dhruv Gupta• Marc Finlayson• Pablo Gervas• Purificação Silvano• Sérgio Nunes• Sriharsh Bhyravajjula• Yang Zhang

5

Concluding Thoughts

The Text2Story workshop series has reached its sixth edition. Our initial goal was to unite participants with diverse backgrounds and expertise in order to collaboratively establish the direction
for the emerging field of extracting narratives from texts. We are delighted by the overwhelmingly
positive response from the research community, and the increasing number of participants in theworkshops highlights the importance of the topic.

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Acknowledgements
Our gratitude goes to the ECIR 2023 organizers for their assistance in facilitating the workshop,
as well as our exceptional keynote speakers, program committee members, paper authors, andparticipants whose contributions led to the tremendous success of the workshop.

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held in conjunction with the 45th European Conference on Information Retrieval (ECIR 2023),
Dublin, Ireland, April 2, 2023, volume 3370 of CEUR Workshop Proceedings, pages 47–62.
CEUR-WS.org, 2023. URL https://ceur-ws.org/Vol-3370/paper5.pdf.
Mohammadali Tavakoli, Harith Alani, and Grégoire Burel. On the readability of misinformation incomparison to the truth. In Ricardo Campos, Alı́pio Mário Jorge, Adam Jatowt, Sumit Bhatia,
and Marina Litvak, editors, Proceedings of Text2Story - Sixth Workshop on Narrative Extraction
From Texts held in conjunction with the 45th European Conference on Information Retrieval(ECIR 2023), Dublin, Ireland, April 2, 2023, volume 3370 of CEUR Workshop Proceedings,
pages 63–72. CEUR-WS.org, 2023. URL https://ceur-ws.org/Vol-3370/paper6.pdf.

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Natalia Vanetik, Marina Litvak, and Lin Miao. Cross-lingual transfer learning for detecting negative campaign in israeli municipal elections: a case study. In Ricardo Campos,
Alı́pio Mário Jorge, Adam Jatowt, Sumit Bhatia, and Marina Litvak, editors, Proceedings of
Text2Story - Sixth Workshop on Narrative Extraction From Texts held in conjunction with the45th European Conference on Information Retrieval (ECIR 2023), Dublin, Ireland, April 2,
2023, volume 3370 of CEUR Workshop Proceedings, pages 83–92. CEUR-WS.org, 2023. URL
https://ceur-ws.org/Vol-3370/paper8.pdf.
Tony Veale. The funhouse mirror has two sides: Visual storification of debates with comics.
In Ricardo Campos, Alı́pio Mário Jorge, Adam Jatowt, Sumit Bhatia, and Marina Litvak,
editors, Proceedings of Text2Story - Sixth Workshop on Narrative Extraction From Texts held inconjunction with the 45th European Conference on Information Retrieval (ECIR 2023), Dublin,
Ireland, April 2, 2023, volume 3370 of CEUR Workshop Proceedings, pages 119–125. CEURWS.org, 2023. URL https://ceur-ws.org/Vol-3370/paper12.pdf.

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