35.444, Confs: NLPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP

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LINGUIST List: Vol-35-444. Thu Feb 08 2024. ISSN: 1069 - 4875.

Subject: 35.444, Confs: NLPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP

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Date: 07-Feb-2024
From: Simona Frenda [simona.frenda at gmail.com]
Subject: NLPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP


NLPerspectives: The 3rd Workshop on Perspectivist Approaches to NLP

Date: 21-May-2024 - 21-May-2024
Location: Turin, Italy
Contact: Gavin Abercrombie
Contact Email: g.abercrombie at hw.ac.uk
Meeting URL: https://nlperspectives.di.unito.it/w/3rd-workshop-on-pers
pectivist-approaches-to-nlp/

Linguistic Field(s): Computational Linguistics

Meeting Description:

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 (Plank, 2022). 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 (Cabitza et al., 2023) 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.

In line with the first and second editions, the third NLPerspectives
(Perspectivist Approaches to Disagreement in NLP) workshop will
explore current and ongoing work on: the collection and labelling of
non-aggregated datasets; and approaches to modelling and including
these perspectives in NLP pipelines, as well as evaluation and
applications of multi-perspective Machine Learning models. We also
welcome opinion pieces and literature reviews, e.g., fairness and
inclusion in a perspectivist framework.

Following our previous workshops, a key outcome of the third edition
will be to continue 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 (data, tools,
services, etc.) and provide  essential information about resources
(i.e., also technologies, standards, evaluation kits, etc.) that have
been used for the work or are a result of their research. In addition,
authors will be required to adhere to ethical research policies on AI
and may include an ethics statement in their papers.

The NLPerspectives workshop will be co-located with the 14th edition
of LREC-COLING 2024 in Torino, Italy, in May 20-25, 2024 and online.

Submissions

The papers should be submitted as a PDF document, conforming to the
formatting guidelines provided in the call for papers of LREC-COLING
conference: authors-kit

We accept three types of submissions:
Regular research papers;
Non-archival submissions: like research papers, but will not be
included in the proceedings;
Research communications: 4-page abstracts summarising relevant
research published elsewhere.

Research papers (archival or non-archival) may consist of up to 8
pages of content. Research communications may consist of up to 4 pages
of content. More details will be up soon.

Please make submissions at
https://softconf.com/lrec-coling2024/nlperspectives2024/

Attendance

At least one author of each accepted paper is required to participate
in the conference and present the work, in-person or online.

Important Dates

* Friday February 23, 2024: Paper submission
* Friday March 29, 2024: Notification of acceptance
* Friday April 12, 2024: Camera-ready papers due
* Tuesday May 21, 2024: Workshop

Workshop organisers:

Gavin Abercrombie, Heriot-Watt University
Valerio Basile, University of Turin
Davide Bernardi, Amazon Alexa
Shiran Dudy, Northeastern University
Simona Frenda,  University of Turin
Lucy Havens, University of Edinburgh
Sara Tonelli, Fondazione Bruno Kessler



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