2nd CfP: Natural Logic meets Machine Learning III (NALOMA 2022)

SC
Stergios Chatzikyriakidis
Tue, Mar 15, 2022 9:47 AM

apologies for x-postings

SECOND CALL FOR PAPERS - Natural Logic Meets Machine Learning III (NALOMA22)

After the successful completion of NALOMA’20 and NALOMA’21, NALOMA'22 seeks to continue the series and attract exciting contributions. Particularly, this year NALOMA expands its focus to the whole field of Natural Language Understanding (NLU) . The workshop aims to bridge the gap between ML/DL and symbolic/logic-based approaches to NLU and lay a focus on hybrid approaches. NALOMA'22 will take place August 8-18, 2022, during ESSLLI 2022 organized at the National University of Ireland Galway (a hybrid format is planned).

This workshop invites submissions on any (theoretical or computational) aspect of hybrid methods in any subfield of NLU, including but not limited to NLI, QA, Sentiment Analysis, Dialog, Machine Translation, Summarization, etc. The topics include but are not limited to:

• hybrid NLU systems that integrate logic-based/symbolic methods with neural networks
• explainable NLU models
• opening the black-box of deep learning in NLU
• downstream hybrid NLU applications
• probabilistic semantics for NLU
• comparison and contrast between symbolic and deep learning work on NLU
• creation, evaluation, and criticism of NLU datasets and how hybrid methods can be used for data cleaning and augmentation
• comparison and contrast between human-level and machine-level work in NLU
• theoretical notions and necessary refinements of the NLU tasks to address inherent human disagreements

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• Archival (long or short) papers should report on complete, original and unpublished research.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. The workshop is endorsed by SIGSEM.
• 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 Thus, the unpublished work will retain the status and can be submitted to another venue.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 anonymized extended abstracts or papers by April 15. Both extended abstracts and papers must be formatted according to the ACL style-files or the ACL Overleaf template.  All submissions must adhere to the ACL Guidelines. 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 coming soon) .

More info to be found on the workshop’s webpage: https://sites.google.com/view/naloma22/home https://sites.google.com/view/naloma22/home

apologies for x-postings SECOND CALL FOR PAPERS - Natural Logic Meets Machine Learning III (NALOMA22) After the successful completion of NALOMA’20 and NALOMA’21, NALOMA'22 seeks to continue the series and attract exciting contributions. Particularly, this year NALOMA expands its focus to the whole field of Natural Language Understanding (NLU) . The workshop aims to bridge the gap between ML/DL and symbolic/logic-based approaches to NLU and lay a focus on hybrid approaches. NALOMA'22 will take place August 8-18, 2022, during ESSLLI 2022 organized at the National University of Ireland Galway (a hybrid format is planned). This workshop invites submissions on any (theoretical or computational) aspect of hybrid methods in any subfield of NLU, including but not limited to NLI, QA, Sentiment Analysis, Dialog, Machine Translation, Summarization, etc. The topics include but are not limited to: • hybrid NLU systems that integrate logic-based/symbolic methods with neural networks • explainable NLU models • opening the black-box of deep learning in NLU • downstream hybrid NLU applications • probabilistic semantics for NLU • comparison and contrast between symbolic and deep learning work on NLU • creation, evaluation, and criticism of NLU datasets and how hybrid methods can be used for data cleaning and augmentation • comparison and contrast between human-level and machine-level work in NLU • theoretical notions and necessary refinements of the NLU tasks to address inherent human disagreements 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. The workshop is endorsed by SIGSEM. • 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 anonymized extended abstracts or papers by April 15. Both extended abstracts and papers must be formatted according to the ACL style-files or the ACL Overleaf template. All submissions must adhere to the ACL Guidelines. 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 coming soon) . More info to be found on the workshop’s webpage: https://sites.google.com/view/naloma22/home <https://sites.google.com/view/naloma22/home>
WG
Wijnholds, G.J. (Gijs)
Mon, May 16, 2022 12:26 PM

With apologies for cross-posting

==== Deadline extension until 23 May 2022 ====

End-to-End Compositional Models of Vector-Based Semantics

                  15-16 August 2022

Workshop at ESSLLI 2022, National University of Ireland, Galway

 https://compositioncalculus.sites.uu.nl/workshop/

Organisation

Michael Moortgat, Gijs Wijnholds (Utrecht University)

Invited Speakers

  • Mehrnoosh Sadrzadeh (UCL)
  • Richard Moot (LIRMM)
  • Bob Coecke (Cambridge Quantum Computing)

Description

Compositionality models the syntax-semantics interface as a
structure-preserving map relating syntactic categories (types) and
derivations to their counterparts in a corresponding meaning algebra. In
a distributional setting, the basic building blocks are vector-based
representations of word meanings (embeddings) obtained from data. These
word meanings then have to be combined into meanings for larger
expressions in a way that reflects the structure of their syntactic
composition.

The workshop focuses on end-to-end implementations of such
vector-based compositional architectures. This means not only the
elementary word embeddings are obtained from data, but also the
categories/types and their internal composition so that neural methods
can then be applied to learn how the structure of syntactic derivations
can be systematically mapped to operations on the data-driven word
representations.

On the evaluation side, we welcome work on modern NLP tasks for
evaluating sentence embeddings such as Natural Language Inference,
sentence-level classification, and sentence disambiguation tasks.
Special interest goes out to work that uses compositionality to
investigate the syntactic sensitivity of large-scale language models.

Topics

The workshop welcomes but is not limited to contributions addressing the
following topics:

  • End-to-end models of compositional vector-based semantics
  • Supervised and unsupervised models for wide-coverage supertagging
    and parsing
  • Approaches to learning word/sentence representations
  • Tasks and datasets requiring or benefiting from syntax
  • Analysis of model performance on syntactically motivated tasks
  • Multi-task learning/joint training of syntactic and semantic
    representations
  • Using compositional methods to assess neural network behaviour
  • Explainable models of sentence representation

Submissions

Submissions consist of papers of up to 12 pages reporting on original
work that has not been published or submitted elsewhere. Each
submissions will be refereed by at least two PC members. You can prepare
your submission using LaTeX, using the EPTCS style available at
http://www.eptcs.orghttp://www.eptcs.org/, and upload the pdf to Easychair
(https://www.easychair.org/my/conference?conf=e2ecompvec).

Accepted contributions will be published as a volume of Electronic
Proceedings in Theoretical Computer Science, to be made available to
ESSLLI participants at the time of the event.

In addition, a post-ESSLLI volume is planned with selected
revised/expanded versions of workshop contributions together with
reports on the results of the funding NWO project.

Important dates

  • 16 May 2022: Submission deadline (Extended deadline until 23 May)
  • 24 June 2022: Notification to authors
  • 8 July 2022: Final copy due
  • 15-16 August 2022: Workshop

Program Committee

  • Gemma Boleda, Universitat Pompeu Fabra
  • Daisuke Bekki, Ochanomizu University
  • Stergios Chatzikyriakides, University of Crete
  • Stephen Clark, Cambridge Quantum
  • Bob Coecke, Cambridge Quantum
  • Giuseppe Greco, Vrije Universiteit Amsterdam
  • Martha Lewis, Bristol University
  • Michael Moortgat, Utrecht University (chair)
  • Richard Moot, CNRS/LIRMM Montpellier
  • Matthew Purver, Queen Mary University of Londen/Jožef Stefan Institute
  • Mehrnoosh Sadrzadeh, University College of London
  • Gijs Wijnholds, Utrecht University (chair)

Funding

NWO project 'A composition calculus for vector-based semantic
modelling with a localization for Dutch' (2017--2022),
https://compositioncalculus.sites.uu.nl/project/

With apologies for cross-posting ==== Deadline extension until 23 May 2022 ==== End-to-End Compositional Models of Vector-Based Semantics 15-16 August 2022 Workshop at ESSLLI 2022, National University of Ireland, Galway https://compositioncalculus.sites.uu.nl/workshop/ ## Organisation Michael Moortgat, Gijs Wijnholds (Utrecht University) ## Invited Speakers - Mehrnoosh Sadrzadeh (UCL) - Richard Moot (LIRMM) - Bob Coecke (Cambridge Quantum Computing) ## Description Compositionality models the syntax-semantics interface as a structure-preserving map relating syntactic categories (types) and derivations to their counterparts in a corresponding meaning algebra. In a distributional setting, the basic building blocks are vector-based representations of word meanings (embeddings) obtained from data. These word meanings then have to be combined into meanings for larger expressions in a way that reflects the structure of their syntactic composition. The workshop focuses on *end-to-end* implementations of such vector-based compositional architectures. This means not only the elementary word embeddings are obtained from data, but also the categories/types and their internal composition so that neural methods can then be applied to learn how the structure of syntactic derivations can be systematically mapped to operations on the data-driven word representations. On the evaluation side, we welcome work on modern NLP tasks for evaluating sentence embeddings such as Natural Language Inference, sentence-level classification, and sentence disambiguation tasks. Special interest goes out to work that uses compositionality to investigate the syntactic sensitivity of large-scale language models. ## Topics The workshop welcomes but is not limited to contributions addressing the following topics: - End-to-end models of compositional vector-based semantics - Supervised and unsupervised models for wide-coverage supertagging and parsing - Approaches to learning word/sentence representations - Tasks and datasets requiring or benefiting from syntax - Analysis of model performance on syntactically motivated tasks - Multi-task learning/joint training of syntactic and semantic representations - Using compositional methods to assess neural network behaviour - Explainable models of sentence representation ## Submissions Submissions consist of papers of up to 12 pages reporting on original work that has not been published or submitted elsewhere. Each submissions will be refereed by at least two PC members. You can prepare your submission using LaTeX, using the EPTCS style available at http://www.eptcs.org<http://www.eptcs.org/>, and upload the pdf to Easychair (https://www.easychair.org/my/conference?conf=e2ecompvec). Accepted contributions will be published as a volume of Electronic Proceedings in Theoretical Computer Science, to be made available to ESSLLI participants at the time of the event. In addition, a post-ESSLLI volume is planned with selected revised/expanded versions of workshop contributions together with reports on the results of the funding NWO project. ## Important dates - 16 May 2022: Submission deadline (Extended deadline until 23 May) - 24 June 2022: Notification to authors - 8 July 2022: Final copy due - 15-16 August 2022: Workshop ## Program Committee - Gemma Boleda, Universitat Pompeu Fabra - Daisuke Bekki, Ochanomizu University - Stergios Chatzikyriakides, University of Crete - Stephen Clark, Cambridge Quantum - Bob Coecke, Cambridge Quantum - Giuseppe Greco, Vrije Universiteit Amsterdam - Martha Lewis, Bristol University - Michael Moortgat, Utrecht University (chair) - Richard Moot, CNRS/LIRMM Montpellier - Matthew Purver, Queen Mary University of Londen/Jožef Stefan Institute - Mehrnoosh Sadrzadeh, University College of London - Gijs Wijnholds, Utrecht University (chair) ## Funding NWO project 'A composition calculus for vector-based semantic modelling with a localization for Dutch' (2017--2022), https://compositioncalculus.sites.uu.nl/project/