[Deadline Extension] The 3rd Deep Learning for Low-resource NLP (DeepLo) workshop (NAACL 2022)
[Deadline Extended to April 15]
The 3rd Deep Learning for Low-resource NLP (DeepLo) workshop is co-located with NAACL 2022.
[Deadline Extended to April 15]
The 3rd Deep Learning for Low-resource NLP (DeepLo) workshop is co-located with NAACL 2022.
[2nd Call for Papers]
The 3rd Deep Learning for Low-resource NLP (DeepLo) workshop is co-located with NAACL 2022.
The 3rd Deep Learning for Low-resource NLP (DeepLo) workshop is co-located with NAACL 2022.
Deadline: April 26, 2021
The 6th Workshop on Representation Learning for NLP (RepL4NLP-2021), co-located with ACL 2021 in Bangkok, Thailand, invites papers of a theoretical or experimental nature describing recent advances in vector space models of meaning, compositionality, and the application of deep neural networks and spectral methods to NLP.
We encourage submissions in the following topics, including but not limited to:
After the successful completion of NALOMA’20 (NAtural LOgic Meets MAchine Learning), NALOMA’21 seeks to continue the series and attract exciting contributions. It will take place on June 16, 2021, during IWCS 2021.
** Call for Papers **
The workshop invites submissions on any (theoretical or computational) topic concerning NLI, including but not limited to:
Final CFP for SemDeep-6@IJCAI-PRICAI 2020
http://www.dfki.de/semdeep-6/
Online-Event in January, 2021
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SemDeep extended submission deadline: 17 September 2020 (00:00 CEST)
WiC-TSV Challenge end of evaluation: 17 September 2020 (00:00 CEST)
WiC-TSV Challenge system description paper: 8 October 2020 (optional)
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The European Conference on Information Retrieval (ECIR) is the prime European forum for the presentation of original research in the field of Information Retrieval. ECIR will be held fully online, organised from Lucca, Italy.
ECIR 2021 is seeking high-quality and original submissions on theory, experimentation, and practice regarding the retrieval, representation, management, and usage of textual, visual and multi-modal information.
Topics of Interest
News
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- The deadline for registration to the task has been extended to October 1!
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Overview
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Publication of negative results is difficult in most fields, but in NLP the problem is exacerbated by the near-universal focus on improvements in benchmarks. This situation implicitly discourages hypothesis-driven research, and it turns creation and fine-tuning of NLP models into art rather than science. Furthermore, it increases the time, effort, and carbon emissions spent on developing and tuning models, as the researchers have no opportunity to learn what has already been tried and failed.
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Call for Participation
AthNLP 2019 - 1ST ATHENS NLP SUMMER SCHOOL
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We invite everyone interested in Natural Language Processing and Machine Learning to attend the 1st Athens Natural Language Processing Summer School - AthNLP 2019: