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{{Event | {{Event | ||
|Acronym=CoNLL 2020 | |Acronym=CoNLL 2020 | ||
| − | |Title=Conference on Natural Language Learning | + | |Title=24th Conference on Computational Natural Language Learning |
| + | |Ordinal=24 | ||
|In Event Series=Event Series:CoNLL | |In Event Series=Event Series:CoNLL | ||
|Single Day Event=no | |Single Day Event=no | ||
| − | |Start Date=2020/11/ | + | |Start Date=2020/11/19 |
| − | |End Date=2020/11/ | + | |End Date=2020/11/20 |
|Event Status=as scheduled | |Event Status=as scheduled | ||
|Event Mode=online | |Event Mode=online | ||
|Academic Field=Natural Language Processing | |Academic Field=Natural Language Processing | ||
|Official Website=https://www.conll.org/2020 | |Official Website=https://www.conll.org/2020 | ||
| + | |DOI=10.25798/rc6c-s565 | ||
|Type=Conference | |Type=Conference | ||
|Twitter account=@conll_conf | |Twitter account=@conll_conf | ||
| Line 23: | Line 25: | ||
{{Organizer | {{Organizer | ||
|Contributor Type=organization | |Contributor Type=organization | ||
| − | |Organization=Special Interest Group on Natural Language Learning, Association for | + | |Organization=Special Interest Group on Natural Language Learning, Association for Computational Linguistics |
}} | }} | ||
{{Event Metric}} | {{Event Metric}} | ||
Latest revision as of 08:09, 10 July 2023
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The 24th SIGNLL Conference on Computational Natural Language Learning (CoNLL 2020). SIGNLL (pronounce as signal) is the Special Interest Group on Natural Language Learning of the Association for Computational Linguistics (ACL).
CoNLL 2020 - originally planned: Punta Cana, Dominican Republic. CoNLL will be colocated with EMNLP 2020, and like EMNLP will be a fully virtual conference.
Topics
- Computational models of human language acquisition
- Computational models of the origins and evolution of language
- Machine learning methods applied to natural language processing tasks (speech processing, phonology, morphology, syntax, semantics, discourse processing, *language engineering applications)
- Symbolic learning methods (Rule Induction and Decision Tree Learning, Lazy Learning, Inductive Logic Programming, Analytical Learning, Transformation- *based Error-driven Learning)
- Biologically-inspired methods (Neural Networks, Evolutionary Computing)
- Statistical methods (Bayesian Learning, HMM, maximum entropy, SNoW, Support Vector Machines)
- Reinforcement Learning
- Active learning, ensemble methods, meta-learning
- Computational Learning Theory analyses of language learning
- Empirical and theoretical comparisons of language learning methods
- Models of induction and analogy in Linguistics
Submissions
Submitted papers must be anonymous and adhere to the CoNLL format by using our LaTeX style files or Word template. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers' comments in the camera-ready version (9 pages of content in total, excluding references). Anonymized supplementary materials are allowed as an optional PDF appendix, in line with EMNLP 2020 guidelines. Submission is electronic, using the Softconf START conference management system.
CoNLL adheres to the ACL anonymity policy, as described in the EMNLP 2020 Call for Papers.
Important Dates
May 5, 2020: Anonymity period starts
June 5, 2020: Paper submission deadline
August 28, 2020: Notification of acceptance and end of anonymity period
November 11-12, 2020: Conference (immediately after EMNLP 2020)
All deadlines are at 11:59pm UTC-12h ("anywhere on earth").
