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| {{Event | | {{Event |
− | |Acronym=CoNLL 2020 | + | |Acronym=SC 2012 |
− | |Title=Conference on Natural Language Learning | + | |Title=Conference for High Performance Computing, Networking, Storage and Analysis |
− | |Type=Conference
| + | |In Event Series=Event Series:344e48dd-f750-4658-9c75-26f463b93744 |
− | |Homepage=https://www.conll.org/2020
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− | |Twitter account=@conll_conf
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− | |City=Punta Cana
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− | |State=Online
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− | |Country=Country:DO
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− | |has general chair=Raquel Fernández, Tal Linzen
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− | |pageCreator=User:Curator 89
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− | |pageEditor=User:Curator 72
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− | |contributionType=1
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− | |In Event Series=Event Series:CoNLL | |
| |Single Day Event=no | | |Single Day Event=no |
− | |Start Date=2020/11/11 | + | |Start Date=2012/11/11 |
− | |End Date=2020/11/12 | + | |End Date=2012/11/15 |
| |Event Status=as scheduled | | |Event Status=as scheduled |
| |Event Mode=on site | | |Event Mode=on site |
− | }}
| + | |City=Salt Lake City |
− | {{Event Deadline
| + | |Region=Utah |
− | |Paper Deadline=2020/06/05 | + | |Country=Country:US |
− | |Notification Deadline=2020/08/28 | |
| }} | | }} |
| {{Event Deadline}} | | {{Event Deadline}} |
| {{S Event}} | | {{S Event}} |
− | 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).
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− | '''CoNLL 2020''' - originally planned: Punta Cana, Dominican Republic.
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− | CoNLL will be colocated with [[EMNLP 2020]], and like EMNLP will be a '''fully virtual conference'''.
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− | ==Topics==
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− | *Computational models of human language acquisition
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− | *Computational models of the origins and evolution of language
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− | *Machine learning methods applied to natural language processing tasks (speech processing, phonology, morphology, syntax, semantics, discourse processing, *language engineering applications)
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− | *Symbolic learning methods (Rule Induction and Decision Tree Learning, Lazy Learning, Inductive Logic Programming, Analytical Learning, Transformation- *based Error-driven Learning)
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− | *Biologically-inspired methods (Neural Networks, Evolutionary Computing)
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− | *Statistical methods (Bayesian Learning, HMM, maximum entropy, SNoW, Support Vector Machines)
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− | *Reinforcement Learning
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− | *Active learning, ensemble methods, meta-learning
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− | *Computational Learning Theory analyses of language learning
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− | *Empirical and theoretical comparisons of language learning methods
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− | *Models of induction and analogy in Linguistics
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− | ==Submissions==
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− | Submitted papers must be anonymous and adhere to the CoNLL format by
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− | using our LaTeX style files or Word template. Submitted papers may
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− | consist of up to 8 pages of content plus unlimited space for
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− | references. Authors of accepted papers will have an additional page
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− | to address reviewers' comments in the camera-ready version (9 pages
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− | of content in total, excluding references). Anonymized supplementary
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− | materials are allowed as an optional PDF appendix, in line with
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− | EMNLP 2020 guidelines. Submission is electronic, using the Softconf
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− | START conference management system.
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− | CoNLL adheres to the ACL anonymity policy, as described in the
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− | EMNLP 2020 Call for Papers.
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− | ==Important Dates==
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− | May 5, 2020: Anonymity period starts<br>
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− | June 5, 2020: Paper submission deadline<br>
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− | August 28, 2020: Notification of acceptance and end of anonymity period<br>
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− | November 11-12, 2020: Conference (immediately after EMNLP 2020)<br>
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− | All deadlines are at 11:59pm UTC-12h ("anywhere on earth").
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