[Corpora-List] CfP NALOMA'2020

Katerina Kalouli Aikaterini-Lida.Kalouli at uni-konstanz.de
Fri Feb 28 08:10:29 CET 2020

[Apologies for cross-posting]


Workshop at NASSLLI 2020 July 12-17, 2020 Brandeis University, Waltham MA USA

URL: https://typo.uni-konstanz.de/naloma20/ <https://typo.uni-konstanz.de/naloma20/>


NAtural LOgic Meets MAchine Learning (NALOMA) is the first workshop of its kind, aiming to bridge the gap between Machine Learning and Natural Logic. It will take place from July 11-July 17, 2020, during the 9th North American Summer School for Logic, Language, and Information (NASSLLI) at Brandeis University in Waltham, Massachusetts.

Recent models of Natural Language Inference (NLI) have made considerable progress in the last couple of years and have achieved performance at nearly human-level. Even though this last statement might still be an exaggeration, it is indeed true that NLI models are capable of doing more things than we thought they would some years ago. On the other hand, research on symbolic methods for NLI has not been fully abandoned. One such area that is still flourishing is research on Natural Logic. There is actually renewed interest in monotonicity inference, and connections with theorem provers and tableau systems from standard areas of logic.

Within this context, the aim of this workshop is to bring together researchers working in both Natural Logic and Machine Learning approaches to NLI, initiating a discussion with the two sets of researchers that have been largely unconnected up to now.


We invite submissions on topics including but not limited to:

reasoning systems that integrate logic-based methods with neural networks;

creation, evaluation, and criticism of NLI datasets;

training data augmentation using logic;

explainable models of NLI;

opening the “black box” of machine learning in NLI;

probabilistic semantics in connection with NLI;

downstream applications of NLI;

comparison and contrast between human-level and machine-level work in NLI;

linguistics semantics and contemporary NLI.

dialogue systems, QA and information retrieval systems that use (natural) logic and machine learning.

We accept 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- Archival (long or short) papers should report on complete, original and unpublished research.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 will 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. Extended abstracts will be linked at the workshop webpage.

Both accepted papers and extended abstracts are expected to be presented at the workshop. Extended abstracts will be presented as talks or posters if selected by the program committee.

Authors must submit non-anonymized extended abstracts or papers before April 15. Both extended abstracts and papers must be formatted according to the ACL style. 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 EasyChair at https://easychair.org/conferences/?conf=nlmml20 <https://easychair.org/conferences/?conf=nlmml20>


Lauri Karttunen, Stanford University Ellie Pavlick, Brown University Mark Steedman, University of Edinburgh


Submission of papers & extended abstracts: April 15 Notification: May 1 Final versions due: June 1 Workshop: July 12-17


Lawrence S. Moss (Chair), Indiana University Lasha Abziniadize, University of Groningen Stergios Chatzikyriakidis, University of Gothenburg Hai Hu, Indiana University Thomas Icard, Stanford University Aikaterini-Lida Kalouli, University of Konstanz Hitomi Yanaka, Riken

CONTACT: naloma20 at easychair.org <mailto:naloma20 at easychair.org>

URL: https://typo.uni-konstanz.de/naloma20/ <https://typo.uni-konstanz.de/naloma20/>

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