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NLPerspectives 2022 : 1st Workshop on Perspectivist Approaches to NLP
NLPerspectives 2022 : 1st Workshop on Perspectivist Approaches to NLP

NLPerspectives 2022 : 1st Workshop on Perspectivist Approaches to NLP

Marseille, France
Event Date: June 20, 2022 - June 20, 2022
Submission Deadline: April 15, 2022
Notification of Acceptance: May 06, 2022
Camera Ready Version Due: May 20, 2022




Call for Papers



SECOND CALL FOR PAPERS

Perspectivist Approaches to Disagreement in NLP (NLPerspectives)

Until recently, the dominant paradigm in natural language processing (and other areas of artificial intelligence) has been to resolve observed label disagreement into a single “ground truth” or “gold standard” via aggregation, adjudication, or statistical means. However, in recent years, the field has increasingly focused on subjective tasks, such as abuse detection or quality estimation, in which multiple points of view may be equally valid, and a unique ‘ground truth’ label may not exist. At the same time, as concerns have been raised about bias and fairness in AI, it has become increasingly apparent that an approach which assumes a single “ground truth” can erase minority voices.

Strong perspectivism in NLP (Basile et al., 2021) pursues the spirit of recent initiatives such as Data Statements (Bender and Friedman, 2018), extending their scope to the full NLP pipeline, including the aspects related to modelling, evaluation and explanation.

The “Perspectivist Approaches to Disagreement in NLP” (NLPerspectives) workshop will explore current and ongoing work on the collection and labelling of non-aggregated datasets, and approaches to modelling and including these perspectives, as well as evaluation and applications of multi-perspective Machine Learning models. We also welcome opinion pieces and literature reviews, e.g. in the context of fairness and inclusion.

A key outcome of the workshop will be to build on the work begun at https://pdai.info/ to create a repository of perspectivist datasets with non-aggregated labels for use by researchers in perspectivist NLP modelling.

Authors are therefore invited to share their LRs. In particular, when submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research.

Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).

Submissions

We accept two types of submissions, long papers and short papers (e.g., demonstration papers, dataset and resource papers, short focused contributions), all following the LREC template: https://lrec2022.lrec-conf.org/en/submission2022/authors-kit/

Long papers may consist of up to 8 pages of content, plus unlimited references. Short papers may consist of up to 4 pages of content; shorter versions are also welcome. Final versions will be given one additional page of content so that reviewers' comments can be taken into account. Submissions should be sent in electronic forms, using the Softconf START conference management system. The submission site is https://www.softconf.com/lrec2022/NLPerspectives/.

We invite original research papers from a wide range of topics, including but not limited to:

Non-aggregated data collection and annotation frameworks

Descriptions of corpora collected under the perspectivist paradigm

Multi-perspective Modelling and Machine Learning

Evaluation of multi-perspective models/ models of disagreement

Multi-perspective disagreement as applied to NLP evaluation

Fairness and inclusive modelling

Applications of multi-perspective modelling

Computing with (dis)agreement

Perspectivist Natural Language Generation

Foundational aspects of perspectivism

Opinion pieces and reviews on perspectivist approaches to NLP


Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers.

The workshop will take place at LREC, and is scheduled to last for half a day on June 20th 2022.

Important Dates

* Friday April 15, 2022: Paper submission

* Friday May 6, 2022: Notification of acceptance

* Friday May 20, 2022: Camera-ready papers due

* Monday June 20, 2022: Workshop

Workshop organizers:

Gavin Abercrombie, Heriot-Watt University

Valerio Basile, University of Turin

Verena Rieser, Heriot-Watt University

Sara Tonelli, Fondazione Bruno Kessler

Alexandra Uma, Queen Mary University of London

Contact us at [email protected] if you have any questions.

Website: https://nlperspectives.di.unito.it/

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Summary

NLPerspectives 2022 : 1st Workshop on Perspectivist Approaches to NLP will take place in Marseille, France. It’s a 1 day event starting on Jun 20, 2022 (Monday) and will be winded up on Jun 20, 2022 (Monday).

NLPerspectives 2022 falls under the following areas: NLP, COMPUTATIONAL LINGUISTICS, ARTIFICIAL INTELLIGENE, etc. Submissions for this Workshop can be made by Apr 15, 2022. Authors can expect the result of submission by May 6, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before May 20, 2022 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the NLPerspectives 2022

  • Short Name: NLPerspectives 2022
  • Full Name: 1st Workshop on Perspectivist Approaches to NLP
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of NLPerspectives 2022
  • Event Type: Workshop
  • Website Link: https://nlperspectives.di.unito.it/
  • Location/Address: Marseille, France


Credits and Sources

[1] NLPerspectives 2022 : 1st Workshop on Perspectivist Approaches to NLP


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