32.270, Calls: Applied Ling, Comp Ling, Semantics/Online

[The LINGUIST List]

LINGUIST List: Vol-32-270. Wed Jan 20 2021. ISSN: 1069 - 4875.

Subject: 32.270, Calls: Applied Ling, Comp Ling, Semantics/Online

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Date: Wed, 20 Jan 2021 14:33:35
From: Aikaterini-Lida Kalouli [aikaterini-lida.kalouli at uni-konstanz.de]
Subject: Second NAtural LOgic meets MAchine Learning Workshop

 
Full Title: Second NAtural LOgic meets MAchine Learning Workshop 
Short Title: NALOMA'21 

Date: 14-Jun-2021 - 18-Jun-2021
Location: Online, Netherlands 
Contact Person: Aikaterini-Lida Kalouli
Meeting Email: aikaterini-lida.kalouli at uni-konstanz.de
Web Site: https://typo.uni-konstanz.de/naloma21/ 

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Semantics 

Call Deadline: 26-Mar-2021 

Meeting Description:

After the successful completion of NALOMA'20 (NAtural LOgic Meets MAchine
Learning), NALOMA’21 seeks to continue the series and attract exciting
contributions. The workshop aims to bridge the gap between ML/DL and
symbolic/logic-based approaches to NLI, and it is perhaps the only workshop
organized to do so. It will take place from June 14-June 18, 2021, during IWCS
2021 organized by the University of Groningen but taking place fully online
due to the pandemic.


Call for Papers: 

NALOMA'21 is set out to address two main issues of the NLI community. First,
the approaches and systems currently used to address NLI are too
one-dimensional, and no fruitful dialog between them is promoted. One strand
of research focuses on training large DL models that can achieve what has been
identified as “human performance”. With the world-knowledge that is
encapsulated in such models and their robust nature, such approaches can deal
with diverse and large data in an efficient way. However, it has been
repeatedly shown that such models lack generalization power and are far from
solving NLI. When presented with differently biased data or with complex
inferences containing hard linguistic phenomena, they struggle to reach the
baseline. Explicitly detecting and solving these weaknesses is only partly
possible, e.g., through appropriate datasets, because such models act like
black-boxes with low explainability. Another strand of research targets more
traditional approaches to reasoning, employing some kind of logic or semantic
formalism. Such approaches excel in precision, especially of complex
inferences with hard linguistic phenomena, e.g., negation, quantifiers,
modals, etc. However, they suffer from inadequate world-knowledge and lower
robustness, making it hard for them to compete with the state-of-the-art
models. Overall, current methods to NLI are too one-dimensional: they are
either purely DL or purely symbolic but do not attempt to combine the two
worlds. A second issue concerns datasets. Existing NLI datasets are either
complex enough but too small to be used for proper learning, e.g., the FraCas
or the RTE datasets, or large enough but too easy to be claimed to represent
human inference, e.g.,\ SICK, SNLI, MNLI, etc. 

The workshop invites submissions on any (theoretical or computational) topic
concerning NLI, including but not limited to:
 - hybrid NLI systems integrating symbolic/logic-based methods with ML/DL
approaches (particularly, approaches combining Natural Logic with ML/DL)
 - explainable models of NLI
 - opening the “black box” of NLI models
 - probabilistic semantics for NLI
 - downstream applications of NLI
 - creation, evaluation, and criticism of NLI datasets,
 - theoretical notions and refinement of the NLI task to address inherent
disagreements
 - comparison and contrast between human-level and machine-level work in NLI
 - using symbolic/logic-based methods for data cleaning and augmentation
 - NLI for other languages than English

We invite two types of submission:

 - Archival (long or short) papers should report on complete, original and
unpublished research. Accepted papers will be published in the workshop
proceedings and appear in the ACL anthology.
 - Extended abstracts may report on work in progress or work that was recently
published/accepted at a different venue. Extended abstracts will not be
included in the workshop proceedings. Thus, the unpublished work will retain
the status and can be submitted to another venue. This webpage will link to
the accepted extended abstracts.
Both accepted papers and extended abstracts are expected to be presented at
the workshop. Extended abstracts will be presented as talks or posters at the
discretion of the program committee.

Authors must submit non-anonymized extended abstracts or papers by March 26.
Both extended abstracts and papers must be formatted according to the IWCS
guidelines (available soon). The extended abstracts should not contain an
abstract section and may consist of up to 2 pages of content, plus unlimited
references. Short and long papers may consist of up to 4 and 8 pages of
content, respectively, plus unlimited references. Camera-ready versions of
papers will be given one additional page of content so that reviewers’
comments can be taken into account.

Both extended abstracts and follow-up papers should be submitted via SoftConf
(link will be available soon on the conference website).




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