(converted copy of the page https://www.sheffield.ac.uk/dcs/research/groups/nlp#tab05)
The target audience is all the members of the NLP group and other possible interested participants.
The meeting will take place weekly for one hour usually on Tuesdays from 11-12pm.
The meetings of the group will be informal and no necessary preparation will be required with the exception of the moderator reading the current paper and the rest having at least a brief overview of it.
Tuesday 12 June 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, Sergey Levine, ICML 2017
Blog post about the paper by the authors
Tuesday 10 April 2018
Style Transfer from Non-Parallel Text by Cross-Alignment
Shen, T; Lei, T; Barzilay, R; Jaakola, T.
Tuesday 3 April 2018
Generating Natural Adversarial Examples
Zhengli Zhao, Dheeru Dua and Sameer Singh
Tuesday 20 February 2018
ACL Paper submission feedback session
Tuesday 13 February 2018
Unbounded cache model for online language modeling with open vocabulary
Edouard Grave, Moustapha Cisse & Armand Joulin
Tuesday 6 February 2018
Neural Sequence Learning Models for Word Sense Disambiguation
Alessandro Raganato, Claudio Delli Bovi & Roberto Navigli
Tuesday 30 January 2018
End-to-End Differentiable Proving
Tim Rocktäschel & Sebastian Riedel
Tuesday 23 January 2018
Unsupervised Learning of Universal Sentence Representations from NLI Data.
Tuesday 28 November 2017
Google’s Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation
Melvin Johnson, Mike Schuster, Quoc V. Le, et al.
Tuesday 14 November 2017
Representations of language in a model of visually grounded speech signal
Grzegorz Chrupała, Lieke Gelderloos & Afra Alishahi
Tuesday 7 November 2017
A Class of Submodular Functions for Document Summarization
Hui Lin & Jeff Bilmes
Tuesday 31 October 2017
Question Generation for Question Answering
Nan Duan, Duyu Tang, Peng Chen & Ming Zhou
Tuesday 24 October 2017
Morphological Inflection Generation with Hard Monotonic Attention
Roee Aharoni & Yoav Goldberg
Tuesday 17 October 2017
A Factored Neural Network Model for Characterizing Online Discussions in Vector Space
Hao Cheng, Hao Fang, Mari Ostendorf
Tuesday 10 October 2017
Understanding Black-box Predictions via Influence Functions
Pang Wei Koh, Percy Liang; Published in Proceedings of International Conference on Machine Learning, 2017
Tuesday 3 October 2017
Zero-Shot Relation Extraction via Reading Comprehension
Omer Levy, Minjoon Seo, Eunsol Choi and Luke Zettlemoyer
Tuesday 19 September 2017
"Men also like shopping: Reducing Gender Bias Amplification Using Corpus Level Constraints"
Tuesday 29 August 2017
Deeply AggreVaTeD: Differentiable Imitation Learning for Sequential Prediction
Wen Sun, Arun Venkatraman, Geoffrey J. Gordon, Byron Boots, J. Andrew Bagnell
Proceedings of the 34th International Conference on Machine Learning, PMLR 70:3309-3318, 2017.
Tuesday 22 August 2017
Split and Rephrase, Accepted for EMNLP 2017
Shashi Narayan, Claire Gardent, Shay B. Cohen and Anastasia Shimorina
Tuesday 15 August 2017
Attention Is All You need
A new simple network architecture, the Transformer, based solely on attention mechanisms, dispensing with recurrence and convolutions entirely
Tuesday 8 August 2017
Learning to Compute Word Embeddings On the Fly
Dzmitry Bahdanau, Tom Bosc, Stanisław Jastrzębski, Edward Grefenstette, Pascal Vincent, Yoshua Bengio
Tuesday 1 August 2017
Learning to Generate Textual Data, EMNLP 2016
Guillaume Bouchard and Pontus Stenetorp and Sebastian Riedel
Tuesday 11 July 2017
SoundNet: Learning Sound Representations from Unlabeled Video
Yusuf Aytar, Carl Vondrick, Antonio Torralba
Tuesday 4 July 2017
Sentence Simplification with Deep Reinforcement Learning
Xingxing Zhang, Mirella Lapata
Tuesday 27 June 2017
Generation and Comprehension of Unambiguous Object Descriptions
Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan Yuille, Kevin Murphy
Tuesday 20 June 2017
Understanding the BPE algorithm
- https://arxiv.org/pdf/1508.07909.pdf
- http://www.drdobbs.com/a-new-algorithm-for-data-compression/184402829?pgno=1
Tuesday 13 June 2017
Sequence-to-Sequence Models Can Directly Transcribe Foreign Speech
Ron J. Weiss, Jan Chorowski, Navdeep Jaitly, Yonghui Wu, Zhifeng Chen
Tuesday 6 June 2017
Covonlutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin
Tuesday 30 May 2017
Program Induction by Rationale Generation:Learning to Solve and Explain Algebraic Word Problems
Wang Ling, Dani Yogatama, Chris Dyer, Phil Blunsom
Tuesday 9 May 2017
Chatterjee et al.: Online Automatic Post-editing for MT in a Multi-Domain Translation Environment
Tuesday 6 May 2017
Convolutional Sequence to Sequence Learning
Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin
Tuesday 2 May 2017
[Coarse-to-Fine Question Answering for Long Documents](http:// http://homes.cs.washington.edu/~eunsol/papers/acl17eunsol.pdf)
Tuesday 25 April 2017
Re-evaluating Automatic Metrics for Image Captioning
Mert Kilickaya, Aykut Erdem, Nazli Ikizler-Cinbis, Erkut Erdem
Tuesday 18 April 2017
Neural Tree Indexers, EACL2017
Tuesday 11 April 2017
EACL Recap
Tuesday 4 April 2017
Shakir Mohammed's deep learning overview
Tuesday 28 March 2017
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Tuesday 21 March 2017
Unsupervised AMR-Dependency Parse Alignment
Tuesday 14 March 2017
Kim et al. (2016): Examples are not Enough, Learn to Criticize! Criticism for Interpretability, NIPS 2016
Tuesday 7 March 2017
Latent Variable Dialogue Models and their Diversity
Kris Cao and Stephen Clark
Tuesday 28 February 2017
Tuesday 21 February 2017
Tuesday 14 February 2017
CORE: Context-Aware Open Relation Extraction with Factorization Machines
by Fabio Petroni, Luciano Del Corro and Rainer Gemulla
Tuesday 7 February 2017
Adversarial Training Methods for Semi-Supervised Text Classification
Takeru Miyato, Andrew, M.Dai, Ian Goodfellow
Tuesday 31 January 2017
Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira and Jason Eisner
Tuesday 24 January 2017
Matching Networks for One Shot Learning
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, Daan Wierstra
Tuesday 17 January 2017
Learning Structured Predictors from Bandit Feedback for Interactive NLP. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL). Berlin, Germany
Artem Sokolov, Julia Kreutzer, Christopher Lo, Stefan Riezler
Tuesday 13 December 2016
Optimization and Sampling for NLP from a Unified Viewpoint
Marc Dymetman, Guillaume Bouchard, Simon Carter
Tuesday 6 December 2016
Matrix Completion has No Spurious Local Minimum
Rong Ge, Jason D. Lee, Tengyu Ma
Tuesday 29 November 2016
Compositional Semantic Parsing on Semi-Structured Tables
Panupong Pasupat and Percy Liang
Tuesday 22 November 2016
Minimum Risk Training for Neural Machine Translation
Shiqi Shen, Yong Cheng, Zhougjun He, Wei He, Hua Wu, Maosong Sun, Yang Liu
Tuesday 15 November 2016
Generation from Abstract Meaning Representation using Tree Transducers
Jeffrey Flanigan, Chris Dyer, Noah A. Smith and Jaime Carbonell
Tuesday 1 November 2016
Visual Representations for Topic Understanding and Their Effects on Manually Generated Labels Transactions of the Association for Computational Linguistics, 2016.
Alison Smith, Tak Yeon Lee, Forough Poursabzi-Sangdeh, Leah Findlater, Jordan Boyd-Graber, and Niklas Elmqvist
Tuesday 25 October 2016
Learning to Search Better than your Teacher
Talk
Chang et al. ICML 2015
Tuesday 11 October 2016
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Danqi Chen, Jason Bolton, Christopher D. Manning
Tuesday 4 October 2016
Ultradense Word Embeddings by Orthogonal Transformation
Sascha Rothe, Sebastian Ebert, Hinrich Schütze
Tuesday 7 June 2016
Not All Character N-grams Are Created Equal: A Study in Authorship Attribution.
Upendra Sapkota, Steven Bethard, Manuel Montes-y-Gómez & Thamar Solorio (2015)
Tuesday 31 May 2016
Relation extraction with matrix factorization and universal schemas.
Riedel, S., Yao, L., McCallum, A., & Marlin, B. M. (2013)
Tuesday 10 May 2016
Training Deterministic Parsers with Non-Deterministic Oracles, TACL
slides
Goldberg, Y. and Nivre, J. (2013)
Tuesday 3 May 2016
A New Corpus and Imitation Learning Framework for Context-Dependent Semantic Parsing
Vlachos, A. and Clark, S.
Tuesday 22 April 2016
Sequence Level Training with recurrent Neural Networks
Marc'Aurelio Ranzato, Sumit Chopra, Michael Auli, Wojciech Zaremba
Tuesday 22 March 2016
"Distributed Representation of Sentences and Documents"
Quoc Le and Tomas Mikolov
Tuesday 8 March 2016
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes
Sascha Rothe; Hinrich Schütze. ACL2015 (best student paper)
Tuesday 23 February 2016
From Word Embeddings To Document Distances
Kusner et al.
Tuesday 16 February 2016
"Target-Dependent Twitter Sentiment Classification with Rich Automatic Features"
Tuesday 9 February 2016
"Evaluation methods for unsupervised word embeddings"
Tuesday 25 January 2016
Multi-Perspective Sentence Similarity Modeling with Convolutional Neural Networks
Hua He, Kevin Gimpel, and Jimmy Lin. EMNLP2015
Tuesday 19 January 2016
Multilingual Image Description with Neural Sequence Models
Tuesday 12 January 2016
"Improving Distributional Similarity with Lessons Learned from Word Embeddings"
Tuesday 8 December 2015
Using Discourse Structure Improves Machine Translation Evaluation.
F Guzmán, S Joty, L Màrquez, P Nakov
And here are the author's slides
Tuesday 1 December 2015
Practical Bayesian Optimization of Machine Learning Algorithms Advances in Neural Information Processing Systems, 2012
Snoek, J.; Larochelle, H. & Adams, R. P.
Related presentations/lecture slides:
http://becs.aalto.fi/en/research/bayes/courses/4613/Vik_Kamath_Presentation.pdf
http://drona.csa.iisc.ernet.in/~indous/Lectures-2014/slides/jasper.pdf
My reading group presentation slides
Tuesday 24 November 2015
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks ACL 2015
LSTMs? Kai Sheng Tai, Richard Socher, Christopher D. Manning
http://colah.github.io/posts/2015-08-Understanding-LSTMs/
Additional resource about LSTM: "Anyone Can Learn To Code an LSTM-RNN in Python"
Tuesday 17 November 2015
More details on auto encoders for unsupervised pre-training:
http://deeplearning.stanford.edu/wiki/index.php/Autoencoders_and_Sparsity
http://www.jmlr.org/papers/volume11/erhan10a/erhan10a.pdf
http://www.slideshare.net/billlangjun/simple-introduction-to-autoencoder
Tuesday 10 November 2015
Multi-Metric Optimization Using Ensemble Tuning. NAACL2013. Video
Baskaran Sankaran, Anoop Sarkar and Kevin Duh
Tuesday 3 November 2015
Josiah's slides
Other resources:
Different objective functions, multiclass problems
Discussion about different activation functions
Tuesday 27 October 2015
Three blog posts introducing RNNs for language modelling in equations and code
might help to read this NLP primer
Additional material:
a thorough explanation of back propagation
Tuesday 20 October 2015
Teaching Machines to Read and Comprehend. NIPS 2015.
Karl Moritz Hermann, Tomáš Kociský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, Phil Blunsom
Slides (presented at LXMLS)
Background reading:
NAACL 2013 Tutorial "Deep Learning without Magic"
EMNLP 2014 Tutorial "Embedding Methods for NLP"
Related Work:
Entailment with Neural Attention (better description of attention models than in the NIPS paper in my opinion)
Tuesday 13 October 2015
A large annotated corpus for learning natural language inference. Proceedings of EMNLP 2015.
Samuel R. Bowman, Gabor Angeli, Christopher Potts, and Christopher D. Manning
Should compare this to work on (multilingual) textual similarity