The SIGNLL Conference on Computational Natural Language Learning — October 31 - November 1, 2018 — Brussels, Belgium #NLProc
Joined March 2018
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CoNLL 2018 retweeted
2 Nov 2018
Thanks for coming to @conll2018. A pleasure to see so many excellent presentations! Special thanks to our invited speakers @wellingmax @asifa_majid and the amazing org team, incl. @iatitov - the best co-chair ever! Looking forward to CoNLL 2019 at EMNLP-IJCNLP 2019, Hong Kong!
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29 Oct 2018
We are delighted to announce the winners of the #conll2018 paper awards: 1) best paper aclweb.org/anthology/K18-102… @artetxem @glabaka @eagirre @lgazpio; 2) special award aclweb.org/anthology/K18-103… M. Barrett @joabingel @norahollenstein @MarekRei A. Søgaard. Compliments to the authors!
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26 Sep 2018
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7 Sep 2018
Check out the final list of accepted papers on our website: conll.org/accepted-2018 We are excited about the variety and quality of the papers and look forward to the talks and posters in Brussels!
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7 Sep 2018
Proud to announce this year's invited talks: @asifa_majid on "Semantic Spaces across Diverse Languages" and @wellingmax on "Inductive Bias in Deep Learning". Abstracts and bios at conll.org/keynotes-2018
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21 Aug 2018
#conll2018 registration is now open! Don't forget to select CoNLL as a workshop at the following link: emnlp2018.org/registration #NLProc
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CoNLL 2018 retweeted
28 Jul 2018
Our paper "2D Convolutional Input-Output Coding for Sequence-to-Sequence Prediction" has been accepted @conll2018. Pre-print soon #NLProc
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We are happy to announce that our paper “Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks” has been accepted to @conll2018. Congratulations to our team for all the hard work. Going to Brussels in November. #CoNLL2018
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CoNLL 2018 retweeted
29 Jul 2018
I'm happy to announce that our paper on the link between the neighborhood and transposition effects in word reading got accepted to @conll2018!
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CoNLL 2018 retweeted
28 Jul 2018
Our paper "Code-Mixed Question Generation and a Neural Framework for Code-Mixed Question Answering" has been accepted at @conll2018.
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CoNLL 2018 retweeted
28 Jul 2018
Our paper "Challenge or Empower: Revisiting Argumentation Quality in a News Editorial Corpus" with Roxanne El Baff, Henning Wachsmuth, and @bennostein has been accepted at @conll2018.
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CoNLL 2018 retweeted
27 Jul 2018
Our paper “DIMSIM: An Accurate Chinese Phonetic Similarity Algorithm based on Learned High Dimensional Encoding” has been accepted @conll2018. This “Chinese Soundex” will help many Chinese #NLP and #IR tasks such as #spell #correction, #text #normalization, #semantic #search
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CoNLL 2018 retweeted
27 Jul 2018
Work, 'Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit' got selected as a full paper in CoNLL 2018 (@conll2018). Collaboration at @cnerg with @krishnamrith12, @rajeshbhatpesit, and Pawan Goyal. #NLProc #CoNLL2018
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27 Jul 2018
Compliments to the authors of all the 57 accepted papers! The competition was very tough this year, with an acceptance rate of 20.65%
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CoNLL 2018 retweeted
27 Jul 2018
Our paper "Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation" (w/ @glabaka @lgazpio & @eagirre) has been accepted at @conll2018. Pre-print and code coming soon!
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CoNLL 2018 retweeted
27 Jul 2018
I'm super happy that our paper on generating adversarial examples for neural NLI models and adversarial training, all *without labeled data* but by violating logic constraints, was accepted at @conll2018! More on this later :)
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CoNLL 2018 retweeted
2 Jul 2018
The shared task has been extended! SIGMORPHON 2018 systems have 10 more days!
sigmorphon.github.io/sharedt…
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In case you did not notice yet: @conll2018 parsing shared task results are now available at universaldependencies.org/co…. Congrats to HIT-SCIR, UDPipe Future and TurkuNLP!
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29 Jun 2018
CoNLL 2018 received a record-breaking 295 submissions - a small increase from last year despite inviting long paper submissions only and disallowing dual submissions with EMNLP. Many thanks to everyone who has submitted their work and to those involved in the reviewing process!
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UDPipe baseline models for #ParsingFun available on the @conll2018 shared task web. Training data with predicted morphology released too.
universaldependencies.org/co…
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