LINGUIST List 31.1146

Wed Mar 25 2020

Calls: Cog Sci, Comp Ling, Disc Analysis, Pragmatics, Semantics/USA

Editor for this issue: Lauren Perkins <laurenlinguistlist.org>



Date: 25-Mar-2020
From: Tommaso Caselli <t.casellirug.nl>
Subject: 1st Joint Workshop on Narrative Understanding, Storylines, and Events (NUSE)
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Full Title: 1st Joint Workshop on Narrative Understanding, Storylines, and Events (NUSE)
Short Title: NUSE 2020

Date: 09-Jul-2020 - 09-Jul-2020
Location: Seattle, USA
Contact Person: Tommaso Caselli
Meeting Email: < click here to access email >
Web Site: https://sites.google.com/view/nuse

Linguistic Field(s): Cognitive Science; Computational Linguistics; Discourse Analysis; Pragmatics; Semantics

Call Deadline: 27-Apr-2020

Meeting Description:

This workshop combines three previously independent workshops in related topic areas: the Narrative Understanding (WNU), Events and Stories in the News (EventStory), and Detecting and Summarizing Events in Real-Time (DeSERT) workshops. This interdisciplinary workshop aims to bring together researchers from NLP, ML, and other computational fields with authors and humanities scholars to discuss methods to improve, evaluate, and push research boundaries in topic areas.

Call for Papers:

We solicit papers related to narrative understanding and all aspects of event and storyline analysis, story generation, and relationships between events and storylines that present new datasets, systems and methods, and evaluation methodologies. Topic areas including, but not limited to:
- The cognitive processes of storytelling
- Perspective changes and conflicting stories
- Counterfactuals modeling
- Character-centric narrative understanding
- Modeling plot structures in narratives
- Event-centric narrative understanding
- Script activation and framing
- Event detection, representation, and filtering from text and multimodal sources
- Event coreference (within- and cross-narratives and documents)
- Temporal, causal or dynamic ordering of events
- Subevent and event-subset relations
- Real-time and offline management and summarization of events
- Generation of coherent and meaningful stories, storylines or summaries
- Aggregation from multiple sources (ie. news streams, social media)
- Social network models for information diffusion in emergency situations; mining interactions among emergency preparedness groups
- Geo-tagging of content and sources from narrative data
- Applications in cultural analytics and quantitative literary studies to analyze literature and folklore
- Applications in social media (e.g. in emergency and crisis response)
- Detection of emerging themes
- Detecting trustworthiness, bias, opinion, perspectives, and rumors in narratives
- Visualization of event, narrative, and story data
- Weaponized narratives and propaganda in journalism and social media
- Corpora and resources for the above topics
- Evaluation metrics and best practice for the above topics
- Multilingual aspects of the above topics

Author Guidelines:
Submissions should be either full (8 page) or short (4 page) papers in length excluding references, and must follow the ACL Author Guidelines. Full papers should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. Short papers are strongly encouraged, and can be a description of a small, focused contribution or negative results, a work in progress, or a position paper.

The review process will be double-blind; submissions must not identify authors or their affiliations.

Authors can choose an archival or a non-archival submission by indicating their choice as a footnote on the first page of the submission (by default the submissions will be considered non-archival). Only new and unpublished work is acceptable for archival submissions.

Accepted papers will be presented during the workshop as posters and/or oral talks and there will be no differentiation between archived and non-archived submissions during presentations.

Submission link: https://www.softconf.com/acl2020/nuse/




Page Updated: 25-Mar-2020