Top Tweets for #CoNLL2018
๐๐ฎ๐ซ ๐ฉ๐ข๐๐ค ๐จ๐ ๐ญ๐ก๐ ๐ฐ๐๐๐ค: #emnlp2018 & #conll2018 papers on two-dimensional models for #NMT. By @mdigangiPA #nlproc #machinetranslation #deeplearning #seq2seq #convolutional #LSTM
Nov1 #CoNLL2018: And here is Tong Niu (@mrnt0810) presenting his work on adversarial-dialogue (over-sensitivity and over-stability) at @conll2018! ๐
Paper/code: https://t.co/3eaBL4XIb6, https://t.co/izglkLQqL8
#EMNLP2018 #NLProc
Back to work! Lanera buelta! Thanks to #CoNLL2018 and #sigmorphon for a great conference and shared task! Now enjoy #emnlp2018!
How words influence thoughts ... Great talk by @asifa_majid, which should trigger a wider discussion on using cog sci findings for NLP! #emnlp2018 #conll2018
They will start with the presentation now! #CoNLL2018 #bestpaper @IxaGroup @IxaTaldea @artetxem @glabaka @lgazpio @eagirre
Excited to be at #EMNLP2018 to present our contribution to the #CoNLL2018 Universal Dependency Parsing Shared Task. Learning to parse 57 languages in 57 days : "ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing" https://t.co/71ZuYPKsIX @buzzganesh @zehavoc
Max Welling on inductive bias in deep learning at #CoNLL2018 #emnlp2018
1) including symmetries in DL
2) including the generative process in DL
BMS-HAS system at #conll2018 #sigmorphon shared task (Acs et al.) sez: random seeds have more effect than you expect #emnlp2018
Folks in Brussels this week, pls check out these #EMNLP2018, #CoNLL2018, #TACL, and #FEVER presentations by our @UNCNLP students & collaborators! Schedule attached: video-QA/dialog, stylistic-dialog, advers-dialog, summrz, fact-verif, harassment, commonsense-QA/videocapt
#NLProc
Today mostly at #conll2018 , livetweets expected to start in about an hour after I regroup #emnlp2018
Good news! Come check out our CoNLL paper "Sequence Classification with Human Attention", which just won the award for the best paper on research inspired by human language learning and processing. Presentation on Thursday, 12:15 ๐ at #conll2018
We are delighted to announce the winners of the #conll2018 paper awards: 1) best paper https://t.co/vCEqNS02PY @artetxem @glabaka @eagirre @lgazpio; 2) special award https://t.co/vrjOrdl0rL M. Barrett @joabingel @norahollenstein @MarekRei A. Sรธgaard. Compliments to the authors!
Check out the #conll2018 best papers:
- Artetxe et al. reveal that word embeddings capture more information than typically assumed. https://t.co/vvN4sVtXYR
- Barrett et al. show that human attention is a good inductive bias for attention. https://t.co/dvNLj9HGjE
We are delighted to announce the winners of the #conll2018 paper awards: 1) best paper https://t.co/vCEqNS02PY @artetxem @glabaka @eagirre @lgazpio; 2) special award https://t.co/vrjOrdl0rL M. Barrett @joabingel @norahollenstein @MarekRei A. Sรธgaard. Compliments to the authors!
More good news: We won a "Special award for the best paper on research inspired by human language learning and processing" at #conll2018. Come check it out on Thursday, Nov 1, at 12:15.
We are delighted to announce the winners of the #conll2018 paper awards: 1) best paper https://t.co/vCEqNS02PY @artetxem @glabaka @eagirre @lgazpio; 2) special award https://t.co/vrjOrdl0rL M. Barrett @joabingel @norahollenstein @MarekRei A. Sรธgaard. Compliments to the authors!
We are delighted to announce the winners of the #conll2018 paper awards: 1) best paper https://t.co/vCEqNS02PY @artetxem @glabaka @eagirre @lgazpio; 2) special award https://t.co/vrjOrdl0rL M. Barrett @joabingel @norahollenstein @MarekRei A. Sรธgaard. Compliments to the authors!
Looking forward to next week's @conll2018 conference, where we will be presenting the findings from our paper. See you in Brussels! #CoNLL2018 #NLProc #NLU #SLU #MachineLeaning
Check our @EMNLP2018 and @CONLL2018 papers online:
Adversarial entity and relation extraction: https://t.co/GdFWhfBWQ9
Character-level patterns in NNs: https://t.co/xoZePW0crM
Predefined Sparseness in NNs: https://t.co/QeV7KnXq0B
#emnlp2018 #conll2018
The system description paper "Towards JointUD: Part-of-speech Tagging and Lemmatization using Recurrent Neural Networks" is available in the Proceedings of the CoNLL 2018 Shared Task: https://t.co/0a1jnCn6RB
We will present it in a poster session of #CoNLL2018 conference.
We are very pleased to announce that our group got one paper accepted for presentation at the @conll2018 #conll2018 !
#multiturn #dialoguesystems #MachineLearning #DeepLearning #embeddings #GRU
More details at https://t.co/qL3qnetZAw
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