Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp

sivareddyg's tweet image. Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp
sivareddyg's tweet image. Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp

@IAugenstein is presenting NLP beyond sentence-level now at #SPNLP workshop @emnlp2017

kaiwei_chang's tweet image. @IAugenstein is presenting NLP beyond sentence-level now at #SPNLP workshop @emnlp2017

Andre is talking about sparsemax at #SPNLP workshop in @emnlp2017

kaiwei_chang's tweet image. Andre is talking about sparsemax at #SPNLP workshop in @emnlp2017

Semantic parsing and QA by Scott #SPNLP

kaiwei_chang's tweet image. Semantic parsing and QA by Scott #SPNLP

Yonatan Bisk @ybisk is presenting unsupervised Neural HMM #spnlp #emnlp2016

kaiwei_chang's tweet image. Yonatan Bisk @ybisk is presenting unsupervised Neural HMM #spnlp #emnlp2016

Our paper "Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations" with Nikos Manginas and @NeuRulller, has been accepted by the Workshop on Structured Prediction for NLP (#SPNLP). Arxiv pre-print: arxiv.org/abs/2010.05763. Brief summary: 1/6

KiddoThe2B's tweet image. Our paper "Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations" with Nikos Manginas and @NeuRulller, has been accepted by the Workshop on Structured Prediction for NLP (#SPNLP). Arxiv pre-print: arxiv.org/abs/2010.05763. Brief summary: 1/6

Talk on Coding Structured Prediction at #SPNLP Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. Video: slideslive.com/38940148 Code: github.com/harvardnlp/pyt…

srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…

負けてるな http://nico.ms/lv31559051#54:18 #spnlp


今北らなんかわけわからんでござるの巻 http://nico.ms/lv31201352#1:59:37 #spnlp


ニコ生視聴中 : 【すぽぬるぽ】パ・リーグCS​ファイナルス... #spnlp nico.ms/lv29839552


はかせとわっとさんって組み合わせがなんかほっこりする。http://nico.ms/lv28986543#34:02 #spnlp


(´・ω・`) http://nico.ms/lv29476592#2:46:09 #spnlp


日本シリーズを見ている人を見ながら飯をくいながらCDをとりこまんとす http://nico.ms/lv30929311#03:59 #spnlp


とりあえず生すぽぬるぽつけとく  http://nico.ms/lv30857711#03:39 #spnlp


乙でした http://nico.ms/lv31559051#5:17:40 #spnlp


今見始めたんだが、後ろのmocが気になるw http://nico.ms/lv28986543#22:55 #spnlp


あと一人!あと一人!! http://nico.ms/lv31559051#5:07:14 #spnlp


はかせの顔が、昔のフォークシンガーに見える http://nico.ms/lv29476592#2:00:04 #spnlp


Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp

sivareddyg's tweet image. Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp
sivareddyg's tweet image. Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp

Talk on Coding Structured Prediction at #SPNLP Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. Video: slideslive.com/38940148 Code: github.com/harvardnlp/pyt…

srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…

Our paper "Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations" with Nikos Manginas and @NeuRulller, has been accepted by the Workshop on Structured Prediction for NLP (#SPNLP). Arxiv pre-print: arxiv.org/abs/2010.05763. Brief summary: 1/6

KiddoThe2B's tweet image. Our paper "Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations" with Nikos Manginas and @NeuRulller, has been accepted by the Workshop on Structured Prediction for NLP (#SPNLP). Arxiv pre-print: arxiv.org/abs/2010.05763. Brief summary: 1/6

@andrewmccallum opening our Structured Prediction workshop #SPNLP with Energy Networks #NLProc #NAACL2019

zkozareva's tweet image. @andrewmccallum opening our Structured Prediction workshop #SPNLP with Energy Networks #NLProc #NAACL2019

Get keen! Speaker lineup: @andrewmccallum @HannaHajishirzi @hhexiy @redpony Claire Cardie and @adveisner ! #SPNLP

هذه التغريدة لم تعد متوفرة.

Co-organizing the #naacl2019 “Structured Prediction for NLP" #SPNLP workshop. Call for papers is out, submit your papers before March 6. #MachineLearning #NLProc Joint with @zkozareva martins @vlachos_nlp @KreutzerJulia @vnfrombucharest lampouras structuredprediction.github.io/SPNLP19


Semantic parsing and QA by Scott #SPNLP

kaiwei_chang's tweet image. Semantic parsing and QA by Scott #SPNLP

@IAugenstein is presenting NLP beyond sentence-level now at #SPNLP workshop @emnlp2017

kaiwei_chang's tweet image. @IAugenstein is presenting NLP beyond sentence-level now at #SPNLP workshop @emnlp2017

@strubell is talking about how to make a fast and accurate parser at #SPNLP @emnlp2017


Andre is talking about sparsemax at #SPNLP workshop in @emnlp2017

kaiwei_chang's tweet image. Andre is talking about sparsemax at #SPNLP workshop in @emnlp2017

thanks all participants for a successful workshop. See you at 2nd #SPNLP @emnlp2017 in Copenhagen. @viveksrikumar @mchang21 @harvardnlp


Yonatan Bisk @ybisk is presenting unsupervised Neural HMM #spnlp #emnlp2016

kaiwei_chang's tweet image. Yonatan Bisk @ybisk is presenting unsupervised Neural HMM #spnlp #emnlp2016

#spnlp Have an amazing preprint? Submit it to #emnlp2016 Workshop on Structured Prediction for NLP (structuredprediction.github.io)


【ニコ生放送中】【すぽぬるぽ】『キリンカップ』を見てる人を見る放送【サッカー】 #spnlp live.nicovideo.jp/watch/lv125451…


【ニコ生視聴中】【すぽぬるぽ】『プロ野球戦力外通告2012・クビを宣告された男達』を見てる人を見る放送【ぷろ】 #spnlp live.nicovideo.jp/watch/lv120344…


久々にニコ生やります!【ニコ生(2012/12/26 21:00開始)】【すぽぬるぽ】『プロ野球戦力外通告2012・クビを宣告された男達』を見てる人を見る放送【ぷろ】 #spnlp live.nicovideo.jp/watch/lv120344…


Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp

sivareddyg's tweet image. Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp
sivareddyg's tweet image. Today I will be talking at #SPNLP at 15:30 pm Dublin time on "Do we still need inductive biases after Transformer language models?". Come with your answers :), and questions are welcome too. structuredprediction.github.io/SPNLP22/schedu… #acl2022nlp

@IAugenstein is presenting NLP beyond sentence-level now at #SPNLP workshop @emnlp2017

kaiwei_chang's tweet image. @IAugenstein is presenting NLP beyond sentence-level now at #SPNLP workshop @emnlp2017

Semantic parsing and QA by Scott #SPNLP

kaiwei_chang's tweet image. Semantic parsing and QA by Scott #SPNLP

@andrewmccallum opening our Structured Prediction workshop #SPNLP with Energy Networks #NLProc #NAACL2019

zkozareva's tweet image. @andrewmccallum opening our Structured Prediction workshop #SPNLP with Energy Networks #NLProc #NAACL2019

Yonatan Bisk @ybisk is presenting unsupervised Neural HMM #spnlp #emnlp2016

kaiwei_chang's tweet image. Yonatan Bisk @ybisk is presenting unsupervised Neural HMM #spnlp #emnlp2016

Andre is talking about sparsemax at #SPNLP workshop in @emnlp2017

kaiwei_chang's tweet image. Andre is talking about sparsemax at #SPNLP workshop in @emnlp2017

Our paper "Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations" with Nikos Manginas and @NeuRulller, has been accepted by the Workshop on Structured Prediction for NLP (#SPNLP). Arxiv pre-print: arxiv.org/abs/2010.05763. Brief summary: 1/6

KiddoThe2B's tweet image. Our paper "Layer-wise Guided Training for BERT: Learning Incrementally Refined Document Representations" with Nikos Manginas and @NeuRulller, has been accepted by the Workshop on Structured Prediction for NLP (#SPNLP). Arxiv pre-print: arxiv.org/abs/2010.05763. Brief summary: 1/6

Talk on Coding Structured Prediction at #SPNLP Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. Video: slideslive.com/38940148 Code: github.com/harvardnlp/pyt…

srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…
srush_nlp's tweet image. Talk on Coding Structured Prediction at #SPNLP

Covers technical background on CRFs, torch-struct as a probabilistic api, optimizations, and applications of markov transformer. 

Video: slideslive.com/38940148
Code: github.com/harvardnlp/pyt…

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