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2020 – today
- 2021
[c63]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. ACL/IJCNLP (2) 2021: 585-592- [c62]Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. ACL/IJCNLP (Findings) 2021: 4079-4090 - [c61]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Truth-Conditional Captions for Time Series Data. EMNLP (1) 2021: 719-733 - [c60]Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick:
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. EMNLP (1) 2021: 2009-2022 - [c59]Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. EMNLP (1) 2021: 3060-3072 - [c58]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. EMNLP (1) 2021: 5703-5714 - [c57]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. EMNLP (1) 2021: 7476-7485 - [c56]Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick:
Neural Representation Learning for Scribal Hands of Linear B. ICDAR Workshops (2) 2021: 325-338 - [c55]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. ISMIR 2021: 159-166 - [c54]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. ISMIR 2021: 167-173 - [c53]Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim:
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. NAACL-HLT 2021: 3799-3807 - [i52]Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim:
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR abs/2103.07567 (2021) - [i51]Aashi Jain, Taylor Berg-Kirkpatrick:
An Empirical Study of Extrapolation in Text Generation with Scalar Control. CoRR abs/2104.07910 (2021) - [i50]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Paraphrastic Representations at Scale. CoRR abs/2104.15114 (2021) - [i49]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis-Hastings. CoRR abs/2106.02736 (2021) - [i48]Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation. CoRR abs/2106.02833 (2021) - [i47]Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani:
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories. CoRR abs/2106.08364 (2021) - [i46]Maria Ryskina, Eduard H. Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley:
Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction. CoRR abs/2106.12698 (2021) - [i45]Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music. CoRR abs/2107.05916 (2021) - [i44]Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick:
An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition. CoRR abs/2108.01769 (2021) - [i43]Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick:
Neural Representation Learning for Scribal Hands of Linear B. CoRR abs/2108.04199 (2021) - [i42]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Efficient Nearest Neighbor Language Models. CoRR abs/2109.04212 (2021) - [i41]Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick:
Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness. CoRR abs/2109.04624 (2021) - [i40]Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick:
Scalable Font Reconstruction with Dual Latent Manifolds. CoRR abs/2109.06627 (2021) - [i39]Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis:
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis. CoRR abs/2110.00135 (2021) - [i38]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick:
Investigating Robustness of Dialog Models to Popular Figurative Language Constructs. CoRR abs/2110.00687 (2021) - [i37]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Truth-Conditional Captioning of Time Series Data. CoRR abs/2110.01839 (2021) - [i36]Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig:
Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR abs/2110.04366 (2021) - 2020
- [c52]Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. ACL 2020: 2954-2960 - [c51]Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images. ACL 2020: 7189-7202 - [c50]Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick:
Phonetic and Visual Priors for Decipherment of Informal Romanization. ACL 2020: 8308-8319 - [c49]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Domain Adaptation via Context Prediction for Engineering Diagram Search. ECIR (2) 2020: 199-206 - [c48]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. EMNLP (1) 2020: 1581-1594 - [c47]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Narrative Text Generation with a Latent Discrete Plan. EMNLP (Findings) 2020: 3637-3650 - [c46]Taylor Berg-Kirkpatrick, Daniel Spokoyny:
An Empirical Investigation of Contextualized Number Prediction. EMNLP (1) 2020: 4754-4764 - [c45]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. EMNLP (1) 2020: 9194-9206 - [c44]Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. ICLR 2020 - [c43]Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. ISMIR 2020: 77-84 - [c42]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. ISMIR 2020: 101-108 - [c41]Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig:
Learning Sparse Prototypes for Text Generation. NeurIPS 2020 - [i35]Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov:
Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods. CoRR abs/2001.07740 (2020) - [i34]Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick:
A Probabilistic Formulation of Unsupervised Text Style Transfer. CoRR abs/2002.03912 (2020) - [i33]Kartik Goyal, Chris Dyer, Christopher Warren, Max G'Sell, Taylor Berg-Kirkpatrick:
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. CoRR abs/2005.01646 (2020) - [i32]Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick:
Phonetic and Visual Priors for Decipherment of Informal Romanization. CoRR abs/2005.02517 (2020) - [i31]Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig:
Learning Sparse Prototypes for Text Generation. CoRR abs/2006.16336 (2020) - [i30]Ke Chen
, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov:
Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm. CoRR abs/2008.01291 (2020) - [i29]Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick:
MusPy: A Toolkit for Symbolic Music Generation. CoRR abs/2008.01951 (2020) - [i28]Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley:
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions. CoRR abs/2010.03205 (2020) - [i27]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Narrative Text Generation with a Latent Discrete Plan. CoRR abs/2010.03272 (2020) - [i26]Daniel Spokoyny, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Contextualized Number Prediction. CoRR abs/2011.07961 (2020)
2010 – 2019
- 2019
- [c40]Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. ACL (1) 2019: 3211-3223 - [c39]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. ACL (1) 2019: 4344-4355 - [c38]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. ACL (1) 2019: 4602-4608 - [c37]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. EMNLP/IJCNLP (1) 2019: 2195-2205 - [c36]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. EMNLP/IJCNLP (1) 2019: 3601-3612 - [c35]Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. EMNLP/IJCNLP (1) 2019: 6024-6030 - [c34]Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. ICLR (Poster) 2019 - [c33]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. NAACL-HLT (1) 2019: 1724-1733 - [i25]Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick:
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders. CoRR abs/1901.05534 (2019) - [i24]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search. CoRR abs/1904.06834 (2019) - [i23]Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig:
Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections. CoRR abs/1906.02656 (2019) - [i22]Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang:
A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text. CoRR abs/1909.00868 (2019) - [i21]John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig:
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity. CoRR abs/1909.06694 (2019) - [i20]Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick:
Learning Rhyming Constraints using Structured Adversaries. CoRR abs/1909.06743 (2019) - [i19]John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick:
Simple and Effective Paraphrastic Similarity from Parallel Translations. CoRR abs/1909.13872 (2019) - [i18]Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick:
A Deep Factorization of Style and Structure in Fonts. CoRR abs/1910.00748 (2019) - [i17]John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick:
A Bilingual Generative Transformer for Semantic Sentence Embedding. CoRR abs/1911.03895 (2019) - 2018
- [c32]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. AAAI 2018: 3045-3052 - [c31]Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
SPINE: SParse Interpretable Neural Embeddings. AAAI 2018: 4921-4928 - [c30]Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Using Syntax to Ground Referring Expressions in Natural Images. AAAI 2018: 6756-6764 - [c29]Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick:
Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data. ACL (1) 2018: 1661-1671 - [c28]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. EMNLP 2018: 1292-1302 - [c27]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Learning to Describe Differences Between Pairs of Similar Images. EMNLP 2018: 4024-4034 - [c26]Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick:
Modeling Online Discourse with Coupled Distributed Topics. EMNLP 2018: 4673-4682 - [c25]Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick:
Visual Referring Expression Recognition: What Do Systems Actually Learn? NAACL-HLT (2) 2018: 781-787 - [c24]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. NeurIPS 2018: 3318-3329 - [c23]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. NeurIPS 2018: 7298-7309 - [i16]Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria:
OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC 2018 - [i15]Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency:
Using Syntax to Ground Referring Expressions in Natural Images. CoRR abs/1805.10547 (2018) - [i14]Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick:
Unsupervised Text Style Transfer using Language Models as Discriminators. CoRR abs/1805.11749 (2018) - [i13]Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick:
Visual Referring Expression Recognition: What Do Systems Actually Learn? CoRR abs/1805.11818 (2018) - [i12]Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell:
Speaker-Follower Models for Vision-and-Language Navigation. CoRR abs/1806.02724 (2018) - [i11]Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick:
Unsupervised Learning of Syntactic Structure with Invertible Neural Projections. CoRR abs/1808.09111 (2018) - [i10]Harsh Jhamtani, Taylor Berg-Kirkpatrick:
Learning to Describe Differences Between Pairs of Similar Images. CoRR abs/1808.10584 (2018) - [i9]Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick:
Modeling Online Discourse with Coupled Distributed Topics. CoRR abs/1809.07282 (2018) - 2017
- [c22]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. ACL (2) 2017: 366-371 - [c21]Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick:
Automatic Compositor Attribution in the First Folio of Shakespeare. ACL (2) 2017: 411-416 - [c20]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. EMNLP 2017: 2598-2607 - [c19]Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick:
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. ICML 2017: 3881-3890 - [c18]Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing:
Efficient Correlated Topic Modeling with Topic Embedding. KDD 2017: 225-233 - [c17]Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson:
Tools for Automated Analysis of Cybercriminal Markets. WWW 2017: 657-666 - [i8]Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick:
Improved Variational Autoencoders for Text Modeling using Dilated Convolutions. CoRR abs/1702.08139 (2017) - [i7]Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick:
Differentiable Scheduled Sampling for Credit Assignment. CoRR abs/1704.06970 (2017) - [i6]Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick:
Automatic Compositor Attribution in the First Folio of Shakespeare. CoRR abs/1704.07875 (2017) - [i5]Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing:
Efficient Correlated Topic Modeling with Topic Embedding. CoRR abs/1707.00206 (2017) - [i4]Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick:
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models. CoRR abs/1708.00111 (2017) - [i3]Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson:
Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation. CoRR abs/1708.09609 (2017) - [i2]Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy:
SPINE: SParse Interpretable Neural Embeddings. CoRR abs/1711.08792 (2017) - 2016
- [c16]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. ACL (1) 2016 - [i1]Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein:
Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints. CoRR abs/1603.08887 (2016) - 2015
- [c15]Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein:
An Empirical Analysis of Optimization for Max-Margin NLP. EMNLP 2015: 273-279 - [c14]Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein:
Unsupervised Code-Switching for Multilingual Historical Document Transcription. HLT-NAACL 2015: 1036-1041 - [c13]Taylor Berg-Kirkpatrick, Dan Klein:
GPU-Friendly Local Regression for Voice Conversion. HLT-NAACL 2015: 1334-1338 - 2014
- [c12]Taylor Berg-Kirkpatrick, Dan Klein:
Improved Typesetting Models for Historical OCR. ACL (2) 2014: 118-123 - [c11]David Hall, Taylor Berg-Kirkpatrick, Dan Klein:
Sparser, Better, Faster GPU Parsing. ACL (1) 2014: 208-217 - [c10]Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein:
Unsupervised Transcription of Piano Music. NIPS 2014: 1538-1546 - 2013
- [c9]Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein:
Unsupervised Transcription of Historical Documents. ACL (1) 2013: 207-217 - [c8]Taylor Berg-Kirkpatrick, Dan Klein:
Decipherment with a Million Random Restarts. EMNLP 2013: 874-878 - [c7]Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard H. Hovy:
Learning Whom to Trust with MACE. HLT-NAACL 2013: 1120-1130 - 2012
- [c6]Taylor Berg-Kirkpatrick, David Burkett, Dan Klein:
An Empirical Investigation of Statistical Significance in NLP. EMNLP-CoNLL 2012: 995-1005 - 2011
- [c5]Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein:
Jointly Learning to Extract and Compress. ACL 2011: 481-490 - [c4]Taylor Berg-Kirkpatrick, Dan Klein:
Simple Effective Decipherment via Combinatorial Optimization. EMNLP 2011: 313-321 - 2010
- [c3]Taylor Berg-Kirkpatrick, Dan Klein:
Phylogenetic Grammar Induction. ACL 2010: 1288-1297 - [c2]Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein:
Painless Unsupervised Learning with Features. HLT-NAACL 2010: 582-590
2000 – 2009
- 2008
- [c1]Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein:
Learning Bilingual Lexicons from Monolingual Corpora. ACL 2008: 771-779
Coauthor Index
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