edit · history · print

Weekly Meeting

During Spring 2019, we meet on Mondays at 11am in Hackerman 306

Looking for a paper to present? see here

Spring 2019

     Day       Presenter  Topic
May 13-EMNLP paper workshop
May 6Brian ThompsonNAACL Practice Talk
April 29 Cancelled (faculty meeting)
April 22  
April 15- 
April 8Yash Kumar LalEdunov et al (2018): Understanding Backtranslation at Scale
April 1Kelly MarchisioJunczys-Dowmunt (2018): How I Learned to Stop Worrying and Love the Data (Microsoft’s Submission to the WMT2018 News Translation Task)
March 25Huda KhayrallahPractice talk
March 18Arya McCarthyChen et al. (2018) The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation
March 11Rebecca KnowlesFadaee & Monz (2018): Back-Translation Sampling by Targeting Difficult Words in Neural Machine Translation
March 4 Note: this is the ACL deadline
February 25-ACL paper workshop (review form)
February 18Xuan ZhangShah et al. (NeurIPS 2018): Generative Neural Machine Translation
February 11Shuoyang DingZenkel et al. (2018) Adding Interpretable Attention to Neural Translation Models Improves Word Alignment
February 4Gaurav KumarCurrent Research

Fall 2018

     Day       Presenter  Topic
December 17Pamela ShapiroDeng et al. (NeurIPS 2018) Latent Alignment and Variational Attention
December 10 NAACL proofreading
December 3 NAACL paper workshop (review form)
November 26Adi RenduchintalaCherry et al. (EMNLP 2018) Revisiting Character-Based Neural Machine Translation with Capacity and Compression
November 19 EMNLP recap
November 12Xuan ZhangLample et al. (ICLR 2018): Unsupervised Machine Translation Using Monolingual Corpora Only
October 22Huda Khayrallah 
October 15Brian ThompsonWMT practice talk
October 8Yash Kumar LalPlatanios et al (EMNLP2018): Contextual Parameter Generation for Universal Neural Machine Translation
October 1Kelly MarchisioNeubig & Hu (EMNLP 2018): Rapid Adaptation of Neural Machine Translation to New Languages
September 24Rebecca KnowlesCurrent Research
September 17Brian ThompsonKirkpatrick et al. (2017): Overcoming catastrophic forgetting in neural networks
September 10Introductions 

Summer 2018

     Day       Presenter  Topic
July 24Kevin DuhTaku Kudo (ACL 2018) Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
July 17Rebecca KnowlesMaruf and Haffari (ACL 2018): Document Context Neural Machine Translation with Memory Networks
July 10Jen DrexlerZhang and Zong (EMNLP 2016): Exploiting Source-side Monolingual Data in Neural Machine Translation
July 3Xuan ZhangPrabhumoye et al. (ACL 2018): Style Transfer Through Back-Translation, Ding et al. (ACL 2017) Visualizing and Understanding Neural Machine Translation
June 26Chris Callison-BurchCherry et al. (2017): Cost Weighting for Neural Machine Translation Domain Adaptation
June 11Marine CarpuatVilar (NAACL 2018): Learning Hidden Unit Contribution for Adapting Neural Machine Translation Models
June 4Philipp KoehnChen et al. (2018): A Stable and Effective Learning Strategy for Trainable Greedy Decoding, Jiwei Li and Dan Jurafsky (2016): Mutual Information and Diverse Decoding Improve Neural Machine Translation, Myle Ott, Michael Auli, David Grangier and Marc’Aurelio Ranzato (2018): Analyzing Uncertainty in Neural Machine Translation

Spring 2018

     Day       Presenter  Topic
May 10Arya McCarthyPassban et al. (NAACL 2018): Improving Character-based Decoding Using Target-Side Morphological Information for Neural Machine Translation
May 3Pamela ShapiroReview of Attention Mechanisms
Apr 26Gaurav KumarQi et al. (NAACL 2018): When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?
Apr 19Xutai MaGu, et. al. (AAAI 2018) Search Engine Guided Neural Machine Translation, Zhang, et. al. (NAACL2018) Guiding Neural Machine Translation with Retrieved Translation Pieces
Apr 12Adi RenduchintalaYang, et. al. (NAACL2018): https://arxiv.org/pdf/1703.04887.pdf
Apr 5Rebecca KnowlesCurrent research
Mar 29Huda/Brian/KevinCurrent research
Mar 22 no meeting
Mar 15Becky Marvin & Steven ShearingAMTA practice talks
Mar 8Kevin DuhHuang, et. al. (ICLR 2018): Towards Neural Phrase-based Machine Translation
Mar 1Arya McCarthyWang et al. (2018): Translating Pro-Drop Languages with Reconstruction Models
Feb 22Pamela ShapiroBelinkov and Bisk (2018): Synthetic and Natural Noise Both Break Neural Machine Translation
Feb 15Shuoyang DingGu et al. (2018): Non-Autoregressive Neural Machine Translation
Feb 8Juri GanitkevitchJuri Ganitkevitch PhD defense (9am, Malone 107): Large-Scale Paraphrasing for Text-to-Text Generation
Feb 1Gaurav KumarArtetxe et al. (2017): Unsupervised Neural Machine Translation

Fall 2017

     Day       Presenter  Topic
Dec 13Xutai Ma/Shuoyang DingCurrent research
Dec 6Adi RenduchintalaHe et al. (NIPS 2016): Dual Learning for Machine Translation
Nov 29Philipp KoehnGhader and Monz (IJCNLP 2017): What does Attention in Neural Machine Translation Pay Attention to?
Nov 22 No meeting: Thanksgiving break
Nov 15Huda KhayrallahPractice Talk
Nov 8Pamela ShapiroArtxetxe et al. (ACL 2017): Learning bilingual word embeddings with (almost) no bilingual data
Nov 1Becky MarvinNguyen and Chiang. (2017). Improving Lexical Choice in Neural Machine Translation
Oct 25Rebecca KnowlesCarpuat et. al. (2017). Detecting Cross-Lingual Semantic Divergence for Neural Machine Translation
Oct 18CancelledMATERIAL Kickoff meeting
Oct 11Kevin DuhBritz. et. al. (2017). Massive Exploration of Neural Machine Translation Architectures
Oct 4everybody5-10 minute research presentations
Sep 27Shuoyang DingNiehues et al. 2017: Analyzing Neural MT Search and Model Performance Freitag and Al-Onaizan 2017: Beam Search Strategies for Neural Machine Translation
Sep 20Cancelled 
Sep 13Xutai MaRios et al. 2017: Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings
Sep 6Gaurav KumarGoyal, Dyer and Berg-Kirkpatrick: Differentiable Scheduled Sampling for Credit Assignment

Summer 2017

     Day       Presenter  Topic
Aug 29Philipp KoehnState of the art NMT: Sennrich et al. (WMT 2017): The University of Edinburgh’s Neural MT Systems for WMT17, Barone et al. (WMT 2017): Deep Architectures for Neural Machine Translation, Ba et al. (2016): Layer Normalization
Aug 22Rebecca KnowlesIsabelle, Cherry, and Foster (EMNLP 2017): A Challenge Set Approach to Evaluating Machine Translation
Aug 15Pamela ShapiroLee et al. (TACL 2017): Fully Character-Level Neural Machine Translation without Explicit Segmentation
Aug 8Becky MarvinDenkowski & Neubig (ACL NMT wksp 2017): Stronger Baselines for Trustable Results in Neural Machine Translation
Aug 1ACL - No meeting 
July 25Huda KhayrallahChen et. al. (ACL 2017): A Teacher-Student Framework for Zero-Resource Neural Machine Translation
July 18Shuoyang DingTu et. al. (TACL): Context Gates for Neural Machine Translation
July 11Kevin DuhOda et. al. (ACL2017): Neural Machine Translation via Binary Code Prediction; Shi and Knight (ACL2017): Speeding up Neural Machine Translation Decoding by Shrinking Run-time Vocabulary
June 27Rebecca KnowlesHokamp and Liu (ACL 2017): Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
June 20Xutai MaJonas Gehring et al. (2017) Convolutional Sequence to Sequence Learning, Ashish Vaswani et al. (2017) Attention Is All You Need
June 13Philipp KoehnSennrich and Haddow (2017): Practical Neural Machine Translation, Koehn and Knowles (2017): Six Challenges for Neural Machine Translation
May 30-June 8-Marian Source Code

Spring 2017

     Day       Presenter  Topic
May 19Huda KhayrallahHeyman et al. (2017): Bilingual Lexicon Induction by Learning to Combine Word-Level and Character-Level Representations
May 12Shuoyang DingAlvarez-Meils et al. (2017): Tree-structured decoding with doubly recurrent neural networks
May 5Becky MarvinBelinkov et al. (2017): What do Neural Machine Translation Models Learn about Morphology?, Zoph et al. (2016): Transfer Learning for Low-Resource Neural Machine Translation
April 28Matt PostAharoni and Goldberg (2017): Towards String-to-Tree Neural Machine Translation; Eriguchi et al., Learning to Parse and Translate Improves Neural Machine Translation
April 21Philipp KoehnTu et al. (2017): Neural Machine Translation with Reconstruction, Cheng et al. (2016): Semi-Supervised Learning for Neural Machine Translation
April 14 Cancelled
April 7Gaurav KumarPractice Talk
Mar 31Kevin DuhSchamoni et al.: Learning Translational and Knowledge-based Similarities from Relevance Rankings for Cross-Language Retrieval, Hieber and Riezler.: Bag-of-Words Forced Decoding for Cross-Lingual Information Retrieval
Mar 24 JHU spring break
Mar 17Adi RenduchintalaLi et al.: Learning to Decode for Future Success
Mar 10Huda KhayrallahGimpel et al.: A Systematic Exploration of Diversity in Machine Translation
Mar 3 meeting with Haitao Mi
Feb 24Rebecca KnowlesArthur et al. (EMNLP 2016): Incorporating Discrete Translation Lexicons into Neural Machine Translation
Feb 17Gaurav KumarHoang et al.: Decoding as Continuous Optimization in Neural Machine Translation
Feb 9Shuoyang DingYu et al. (ICLR 2017): The Neural Noisy Channel
Jan 31VariousDiscussion of paper drafts

Fall 2016

     Day       Presenter  Topic
Dec 20Winston WuJiajun Zhang and Chengqing Zong: Bridging Neural Machine Translation and Bilingual Dictionaries
Dec 13Becky MarvinBourdaillet, et al. (Machine Translation 2010) TransSearch: from a bilingual concordancer to a translation finder.
Dec 6Pengyu HeMi, et al. (EMNLP 2016) Supervised attentions for neural machine translation.
Nov 29 meet with Jonathan May
Nov 22 Thanksgiving
Nov 15Adi RenduchintalaShi (EMNLP 2016): Does String-Based Neural MT Learn Source Syntax? and Why Neural Translations are the Right Length
Nov 8 Discussion of AMTA & EMNLP
Nov 1 AMTA
Oct 25Huda KhayrallahAMTA practice talk
Oct 18Rebecca KnowlesAMTA practice talk (Neural Interactive Translation Prediction)
Oct 11Adam PoliakLing et al : Character Based Neural Machine Translation
Oct 4Philipp KoehnWu et al: Google’s Neural Machine Translation System: Bridging the Gap between Human and Machine Translation (Press release)
Sep 27Matt PostIglesias et al. (NAACL 2009: Hierarchical Phrase-Based Translation with Weighted Finite State Transducers
Sep 20Gaurav KumarAndor et al. (ACL 2016): Globally Normalized Transition Based Neural Networks
Sep 13Kevin DuhWuebker et al. (ACL 2016): Models and Inference for Prefix-Constrained Machine Translation (alternate link)
Sep 6Shuoyang DingEriguchi et al. (ACL 2016): Tree-to-Sequence Attentional Neural Machine Translation and Stahlberg et al. (ACL 2016): Syntactically Guided Neural Machine Translation
August 30Shuoyang DingEriguchi et al. (ACL 2016): Tree-to-Sequence Attentional Neural Machine Translation and Stahlberg et al. (ACL 2016): Syntactically Guided Neural Machine Translation

Summer 2016

     Day       Presenter  Topic
August 23 Discussion of WMT & ACL
July 26Gaurav KumarDayu Yuan, Ryan Doherty, Julian Richardson, Colin Evans, Eric Altendorf: Word Sense Disambiguation with Neural Language Models
July 19Adam PoliakPado and Lapata (Journal of Artificial Intelligence Research 36 (2009)) Cross-lingual Annotation Projection of Semantic Roles
July 12Rebecca KnowlesMaarten van Gompel and Antal van den Bosch (ACL 2014): Translation Assistance by Translation of L1 Fragments in an L2 Context and Eva Hasler (SemEval 2014): UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT
June 28Philipp KoehnResearch update: Neural machine translation and computer aided translation
June 14Huda KhayrallahKe Tran, Arianna Bisazza and Christof Monz (NAACL 2016): Recurrent Memory Networks for Language Modeling
June 7Huda KhayrallahAndrej Karpathy, Justin Johnson, Li Fei-Fei (ICLR Workshop 2016): Visualizing and Understanding Recurrent Networks
May 24 Discussion of MT Marathon in the Americas
May 17 MT Marathon in the Americas

Spring 2016

     Day       Presenter  Topic
May 10Rebecca KnowlesMarco Turchi, Matteo Negri, Marcello Federico (ACL 2015): MT Quality Estimation for Computer-assisted Translation: Does it Really Help?
May 3Philipp KoehnTips and tricks: living the Unix life and running experiments on the CLSP cluster
Apr 26Amittai AxelrodOrhan Firat, Kyunghyun Cho, and Yoshua Bengio (NAACL 2016): Multi-Way, Multilingual Neural Machine Translation with a Shared Attention Mechanism
April 19Kevin DuhKai Zhao, Hany Hassan, and Michael Auli (NAACL2015): Learning Translation Models from Monolingual Continuous Representations, Lei Yao and Grzegorz Kondrak (NAACL2015): Joint Generation of Transliterations from Multiple Representations
April 12Maria NadejdeCurrent work
April 5Adam PoliakDurrett and DeNero : Supervised Learning of Complete Morphological Paradigms
Mar 29Adi RenduchintalaSomething super interesting (donuts provided)
Mar 22Huda KhayrallahFaruqui et al. : Morphological Inflection Generation Using Character Sequence to Sequence Learning
Mar 15Biman GujralCurrent Research
Mar 8Matt PostCurrent Research
Mar 1Adi RenduchintalaGrefenstette et al. : Learning to Transduce with Unbounded Memory
Feb 23Kyunghyun ChoSeminar Visit
Feb 16Shuoyang DingSennrich et al. : Improving Neural Machine Translation Models with Monolingual Data
Feb 9Gaurav KumarShen et al. : Minimum Risk Training for Neural Machine Translation
Feb 2Rebecca KnowlesStein, Schmidt, and Ney: Sign Language Machine Translation Overkill

Fall 2015

     Day       Presenter  Topic
Dec 8Hainan XuTaghipour et al. Parallel Corpus Refinement as an Outlier Detection Algorithm
Dec 1Brian HoLuong et al. Effective Approaches to Attention-based Neural Machine Translation
Nov 17Kevin DuhLevinboim and Chiang: Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages
Nov 10Amittai AxelrodClass-Based N-gram Language Difference Models for Data Selection
Nov 3Biman GujralTsvetkov et al. Lexicon stratification for translating out-of-vocabulary words
Oct 27Huda KhayrallahSennrich et al. Neural Machine Translation of Rare Words with Subword Units
Oct 20Matt PostPashto speech translation (MT Summit invited keynote preview)
Oct 13Shuoyang DingYu and Zhu (ACL 2015): Recurrent Neural Network based Rule Sequence Model for Statistical Machine Translation Vaswani et al. (ACL 2011): Rule Markov Models for Fast Tree-to-String Translation
Oct 6Philipp KoehnUpdates on CommonCrawl project
Sep 29Gaurav KumarWork from the JSALT workshop
Sep 15Adi RenduchintalaStanojevic and Sima'an (EMNLP 2015): Reordering Grammar Induction

Spring 2015

     Day       Presenter  Topic
June 24Rebecca KnowlesSoricut, Radu and Och, Franz (NAACL 2015): : Unsupervised Morphology Induction Using Word Embeddings
June 10 Discussion of NAACL papers II
June 2 Discussion of NAACL papers I
May 26Rebecca KnowlesBotha & Blunsom (ICML 2014): Compositional Morphology for Word Representations and Language Modelling
May 19 Discussion of MT Marathon in Illinois
May 12 MT Marathon in Illinois
May 5Keisuke SakaguchiFeng et al. (EMNLP 2012): Left-to-Right Tree-to-String Decoding with Prediction (for reference) Huang and Mi (EMNLP 2010): Efficient Incremental Decoding for Tree-to-String Translation
Apr 28 CANCELLED (due to university closure)
Apr 21Matt PostSennrich (TACL 2015): Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation
Apr 14Christian BuckResnik and Smith (2003):The Web as a Parallel Corpus Uszkoreit et al. (2010): Large Scale Parallel Document Mining for Machine Translation Shi et al. (2006): A DOM Tree Alignment Model for Mining Parallel Data from the Web
Apr 7Rebecca KnowlesKoehn and Germann (2014): The Impact of Machine Translation Quality on Human Post-Editing
Mar 31Keisuke SakaguchiBertoldi et al. (2013): Cache-based Online Adaptation for Machine Translation Enhanced Computer Assisted Translation (for future reference) Bertoldi et al. (2014): Online adaptation to post-edits for phrase-based statistical machine translation
Mar 17Shuoyang DingMalone 339 Xie et al. (2014): Augment Dependency-to-String Translation with Fixed and Floating Structures, Xie et al. (2011): A Novel Dependency-to-String Model for Statistical Machine Translation
Mar 10Darcey RileySaluja et al. (2014): Latent-Variable Synchronous CFGs for Hierarchical Translation
Mar 3Matt PostChiang (2010): Learning to Translate with Source and Target Syntax
Feb 24Philipp KoehnFun papers: van Halteren (2008): Source Language Markers in EUROPARL Translations, Lembersky et al.: Improving Statistical Machine Translation by Adapting Translation Models to Translationese
Feb 17Philipp KoehnPlanning meeting: possible topics
Feb 10 Feb 3Gaurav KumarResearch related to Zhang et al (2014): Bilingually-constrained Phrase Embeddings for Machine Translation
Jan 27Philipp KoehnBuilding neural network models with Theano
Jan 20Philipp KoehnBahdanau et al. (2015): Neural Machine Translation by Jointly Learning to Align and Translate

2014

     Day       Presenter  Topic
  Neural Networks
Dec 16Matt PostMinkov et al. (2007): Generating Complex Morphology for Machine Translation, Toutanova et al. (2008): Applying Morphology Generation Models to Machine Translation
Dec 2Philipp KoehnIntroduction to Morphology and Machine Translation
Nov 18Adi RenduchintalaTheano neural network toolkit
Nov 11Philipp KoehnSundermeyer et al. (2014): Translation Modeling with Bidirectional Recurrent Neural Networks
Nov 4Shuoyang DingLu et al. (2014): Learning New Semi-Supervised Deep Auto-encoder Features for Statistical Machine Translation
Oct 28Adithya RenduchintalaYang et al. (2013): Word Alignment Modeling with Context Dependent Deep Neural Network
Oct 21Matt PostLiu et al. (2014): A Recursive Recurrent Neural Network for Statistical Machine Translation
Oct 7Adithya RenduchintalaVaswani et al. (2013): Decoding with Large-Scale NLMs
Sep 30Adam LopezAmmar et al., CRF Autoencoders
Sep 23Philipp KoehnZhang et al (2014): Bilingually-constrained Phrase Embeddings for Machine Translation; Liu et al (2014): A Recursive Recurrent Neural Network for Statistical Machine Translation
Sep 16Naomi Saphra, Adam LopezMore AMR workshop results; Auli and Gao (2014): Expected BLEU training of RNNs
Sep 9Adam LopezKalchbrenner and Blunsom (2013): Recurrent continuous translation models
  Short Intermission: Semantics
Aug 26Adi RenduchintalaMore AMR workshop results based on Flanigan et al. (2014): A Discriminative Graph-Based Parser for the Abstract Meaning Representation
Aug 19Adam LopezReport from the workshop on Cross-Lingual Abstract Meaning Representations (CLAMR) for Machine Translation
  Neural Networks
Aug 12Dan PoveyNeural network language models in speech recognition
Aug 5Adam LopezDevlin et al. (2014): Fast and Robust Neural Network Joint Models for Statistical Machine Translation, pdf
July 29Philipp KoehnBengio et al. (2003): A Neural Probabilistic Language Model, pdf
July 22Philipp KoehnIntroduction to Neural Networks, handout
  Semantics
July 8Matt PostAnonymous (unpublished): A Variant of CYK+ for Decoding with Large SCFGs
July 1Adam LopezStephen Clark, Julia Hockenmaier and Mark Steedman (2002): Building Deep Dependency Structures with a Wide-Coverage CCG Parser, pdf
June 17Philipp KoehnAbstract Meaning Representations
June 10Maria NadejdeState of the Art Syntax-Based Translation, Edinburgh Syntax System at WMT 2014
June 3Naomi SaphraDavid Chiang et al. (2013): Parsing Graphs with Hyperedge Replacement Grammars, ACL, pdf
May 20Adam LopezBevan Jones et al. (2013): Semantics-Based Machine Translation with Hyperedge Replacement Grammars, pdf
  Syntax Decoding
May 13Adam LopezMark Hopkins and Greg Langmead (2009): Cube Pruning as Heuristic Search, ACL, pdf
May 6Philipp KoehnHeafield, Kenneth and Koehn, Philipp and Lavie, Alon (2013): Grouping Language Model Boundary Words to Speed K--Best Extraction from Hypergraphs, NAACL, pdf
April 29Matt PostDeNero, John and Bansal, Mohit and Pauls, Adam and Klein, Dan (2009): Efficient Parsing for Transducer Grammars, NAACL, pdf
April 22Philipp KoehnHopkins, Mark and Langmead, Greg (2010): SCFG Decoding Without Binarization, EMNLP, pdf
April 15Philipp KoehnSyntax-Based Model Decoding, notes
March 18Adam LopezPushdown Automata in Statistical Machine Translation, Hierarchical Phrase-Based Translation Representations
March 6Philipp KoehnInaugural meeting, notes
edit · history · print
Page last modified on April 18, 2019, at 10:01 PM