LINGUIST List 32.270
Wed Jan 20 2021
Calls: Applied Ling, Comp Ling, Semantics/Online
Editor for this issue: Lauren Perkins <laurenlinguistlist.org>
Aikaterini-Lida Kalouli <aikaterini-lida.kalouli
Second NAtural LOgic meets MAchine Learning Workshop E-mail this message to a friend
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: < click here to access email >
Web Site: https://typo.uni-konstanz.de/naloma21/
Linguistic Field(s): Applied Linguistics; Computational Linguistics; Semantics
Call Deadline: 26-Mar-2021
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).
Page Updated: 20-Jan-2021