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Argument Mining: A Survey

Argument Mining: A Survey

Abstract Argument mining is the automatic identification and extraction of the structure of inference and reasoning expressed as arguments presented in natural languag……

word2vec Parameter Learning Explained

word2vec Parameter Learning Explained

Xin Rongronxin@umich.edu Abstract The word2vec model and application by Mikolov et al. have attracted a great amount of attention in recent two years. The vector repre……

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders

This entry is part 1 of 1 in the series Text generation Junxian He, Daniel Spokoyny, Graham NeubigCarnegie Mellon University{junxianh,dspokoyn,gneubig}@cs.cmu.edu&Taylor B……

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

This entry is part 1 of 1 in the series Sentiment analysis Colin Raffel1Noam Shazeer∗Adam Roberts∗Katherine Lee∗Sharan NarangMichael MatenaYanqi ZhouWei LiPet……

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

This entry is part 1 of 1 in the series Language modelling 17 Sep 2019 Mohammad Shoeybi • Mostofa Patwary • Raul Puri • Patrick LeGresley&……

XLNet: Generalized Autoregressive Pretraining for Language Understanding

XLNet: Generalized Autoregressive Pretraining for Language Understanding

This entry is part 1 of 1 in the series Question answering Zhilin Yang∗1, Zihang Dai∗12, Yiming Yang1, Jaime Carbonell1,Ruslan Salakhutdinov1, Quoc V. Le21Carneg……

Riposte! A Large Corpus of Counter-Arguments

Riposte! A Large Corpus of Counter-Arguments

This entry is part 1 of 1 in the series Computational argumentation Paul Reisert†,‡   Benjamin Heinzerling†,‡   Naoya ……