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Huge congratulations to
@XiangLisaLi2 on winning#emnlp2019 Best Paper! (From 2800+ submissions.) And on her delightful talk: video online. Lisa did this work with me as a junior. First time any *ACL best paper award has gone to an undergrad project?? http://cs.jhu.edu/~jason/papers/#li-eisner-2019 …Prikaži ovu nit -
Congratulations to the
#EMNLP2019 best paper award winners! 4/4 == Best Demo Paper Award == AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models https://allennlp.org/interpret Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh -
slides from my keynote talk at
#emnlp2019 https://drive.google.com/file/d/1HGzv6n9hAj-GL63POUZCO6nCrIHF9y35/view?usp=sharing … -
Our pick of the week: Almarwani et al.
#emnlp2019 paper on "Efficient Sentence Embedding using Discrete Cosine Transform". By@mgaido91#NLProchttps://twitter.com/mgaido91/status/1224639032765943809 … -
Just uploaded the GoldEn Retriever poster we presented at
#emnlp2019 (exactly) two weeks ago: http://qipeng.me/research/slides_posters/golden-retriever-poster.pdf … Lots of interesting discussions at EMNLP, looking forward to more advances in multi-hop QA in the wild!
: https://nlp.stanford.edu/pubs/qi2019answering.pdf …
:https://github.com/qipeng/golden-retriever … -
Of the many excellent papers at
#emnlp2019, this is the one I can't stop thinking about. On NMT Search Errors and Model Errors: Cat Got Your Tongue? by Felix Stahlberg & Bill Byrne https://www.aclweb.org/anthology/D19-1331/ … Our current NMT models might be "wrong"
thread
1/7Prikaži ovu nit -
Congrats to the
#EMNLP2019 best paper award winners! 3/4 = Best Resource Paper Award = The FLORES Evaluation Datasets for Low-Resource Machine Translation: Nepali–English and Sinhala–English Guzmán, Chen, Ott, Pino, Lample, Koehn, Chaudhary, Ranzato https://www.aclweb.org/anthology/D19-1632/ … -
You couldn't make it to
#emnlp2019? You missed some sessions or are interested what other liked? Our impressions with@laurent_besacie,@hadyelsahar and Vassilina are out for you to read over the weekend.https://europe.naverlabs.com/blog/emnlp2019-what-we-saw-and-liked/ … -
Congratulations to
@johnhewtt &@percyliang for being the#emnlp2019 best paper runner up for Designing and Interpreting Probes with Control Tasks https://arxiv.org/abs/1909.03368 . And hearty congratulations to the winner,@XiangLisaLi2, of course!pic.twitter.com/IYei71O09X
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A nice slide about embedding specialization methods, which covers from classical word2vec to the latest contextualized vector representations such as BERT. 分散表現を目的特化でチューニングする手法を網羅的に紹介したチュートリアル資料。最後の章が特にオススメです。
#EMNLP2019 https://twitter.com/gg42554/status/1192124655533867009 … -
Now available: slides for
#EMNLP2019 tutorial on Data Collection and End-to-End Learning for Conversational AI. Presenters: Paweł Budzianowski, Iñigo Casanueva, Ivan Vulić (@licwu). University of Cambridge,@poly_ai. URL:https://www.polyai.com/emnlp19/ -
Proud of
@umasscs undergrads Jack Merullo and Luke Yeh for doing a great job presenting our#emnlp2019 work on characterizing racial bias in football commentary! This was their first time attending an#NLProc conference. Also FYI: Jack is currently applying to PhD programs!pic.twitter.com/lICLDiTz8U
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Struggling to understand how
#emnlp2019 has managed to accept a paper titled “Charge Based Prison Term Prediction with Deep Gating Network”, this is real brain dead stupid stuffPrikaži ovu nit -
Day3 talk2
#EMNLP2019 in 201A–C:@HaoTan5's talk on "LXMERT: Learning Cross-Modality Encoder Representations from Transformers" w. several new visualizations/analyses (+SotA on 3-4 vis-lang tasks) PS. I am hiring *POSTDOCS* & still around all day today+tmrw so pls chat/share!
https://twitter.com/mohitban47/status/1163978512094715904 …pic.twitter.com/YiMJ3aMAYt
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Really excited to see
@kchonyc sharing his successes *and* failures! Also loving the shade thrown at bad reviewers who complain about not getting SOTA#EMNLP2019 -
Humble start of
@kchonyc's keynote at#emnlp2019 acknowledging@MikelForcada among others for coming up with neural nets for machine translation :) https://twitter.com/lspecia/status/1192247462892720128/photo/1pic.twitter.com/vfjppDEyeK pic.twitter.com/tLXamnBJr8
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Your comprehensive guide on papers that use
#KnowledgeGraphs in#NLProc from#emnlp2019
Part I - Language Models, Conversational AI, KGs from text, KG embeddings. Part II is coming soon! @emnlp2019
https://medium.com/@mgalkin/knowledge-graphs-nlp-emnlp-2019-part-i-e4e69fd7957c … -
Interested in knowing whether/how the open-domain NLG is biased? First, you need to go beyond sentiment analysis. Come to Emily’s talk at 4:00pm at
#emnlp2019 session 7C AWE 203-205 to learn more. pic.twitter.com/pOdmX7OP0n
Prikaži ovu nit -
Phd student
@sepidehmesbah87 presenting today at#emnlp2019 Nice joint work between@wisdelft (@ChristophLofi,@gjhouben,@mvallet91),@yangjiera from Amazon, and@myTomorrows (@rsips )https://twitter.com/MKrallinger/status/1191920581937025024 …
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If you’re attending
#emnlp2019, we’re presenting a live demo today at 13:30 – 15:00 of VizSeq, a visual analysis tool for text generation tasks. Hope to see you there! You can also learn more about VizSeq here: Paper: https://arxiv.org/pdf/1909.05424.pdf … Code: https://github.com/facebookresearch/vizseq …pic.twitter.com/UoWAnQBQe6
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