Taylor Berg-Kirkpatrick

According to our database, Taylor Berg-Kirkpatrick authored at least 119 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MORL-Prompt: An Empirical Analysis of Multi-Objective Reinforcement Learning for Discrete Prompt Optimization.

Yasaman Jafari, Dheeraj Mekala, Rose Yu, Taylor Berg-Kirkpatrick

CoRR, 2024

DITTO: Diffusion Inference-Time T-Optimization for Music Generation.

Zachary Novack, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan

CoRR, 2024

Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors.

Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation.

Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick

CoRR, 2023

URL-BERT: Training Webpage Representations via Social Media Engagements.

Ayesha Qamar, Chetan Verma, Ahmed El-Kishky, Sumit Binnani, Sneha Mehta, Taylor Berg-Kirkpatrick

CoRR, 2023

Unsupervised Lead Sheet Generation via Semantic Compression.

Zachary Novack, Nikita Srivatsan, Taylor Berg-Kirkpatrick, Julian J. McAuley

CoRR, 2023

Exploring the Relationship Between Model Architecture and In-Context Learning Ability.

Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick

CoRR, 2023

Misusing Tools in Large Language Models With Visual Adversarial Examples.

Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes

CoRR, 2023

MusicLDM: Enhancing Novelty in Text-to-Music Generation Using Beat-Synchronous Mixup Strategies.

Ke Chen, Yusong Wu, Haohe Liu, Marianna Nezhurina, Taylor Berg-Kirkpatrick, Shlomo Dubnov

CoRR, 2023

Text Conditional Alt-Text Generation for Twitter Images.

Nikita Srivatsan, Sofía Samaniego, Omar Florez, Taylor Berg-Kirkpatrick

CoRR, 2023

Smaller Language Models are Better Black-box Machine-Generated Text Detectors.

Fatemehsadat Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick

CoRR, 2023

Universal Source Separation with Weakly Labelled Data.

Qiuqiang Kong, Ke Chen, Haohe Liu, Xingjian Du, Taylor Berg-Kirkpatrick, Shlomo Dubnov, Mark D. Plumbley

CoRR, 2023

ClimaBench: A Benchmark Dataset For Climate Change Text Understanding in English.

Tanmay Laud, Daniel Spokoyny, Tom Corringham, Taylor Berg-Kirkpatrick

CoRR, 2023

Jointly modeling products and resource pages for task-oriented recommendation.

Brendan Duncan, Surya Kallumadi, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models.

Hao-Wen Dong, Xiaoyu Liu, Jordi Pons, Gautam Bhattacharya, Santiago Pascual, Joan Serrà, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Towards Improving Harmonic Sensitivity and Prediction Stability for Singing Melody Extraction.

Keren Shao, Ke Chen, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the 24th International Society for Music Information Retrieval Conference, 2023

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos.

Hao-Wen Dong, Naoya Takahashi, Yuki Mitsufuji, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the Eleventh International Conference on Learning Representations, 2023

EEBO-Verse: Sifting for Poetry in Large Early Modern Corpora Using Visual Features.

Danlu Chen, Nan Jiang, Taylor Berg-Kirkpatrick

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Large-Scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation.

Yusong Wu, Ke Chen, Tianyu Zhang, Yuchen Hui, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the IEEE International Conference on Acoustics, 2023

Multitrack Music Transformer.

Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the IEEE International Conference on Acoustics, 2023

Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN.

Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation.

Jarad Forristal, Fatemehsadat Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.

John Wieting, Jonathan H. Clark, William W. Cohen, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Membership Inference Attacks against Language Models via Neighbourhood Comparison.

Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Attention Networks for Attribution of Early Modern Print.

Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Non-Parametric Temporal Adaptation for Social Media Topic Classification.

Fatemehsadat Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick

CoRR, 2022

Multitrack Music Transformer: Learning Long-Term Dependencies in Music with Diverse Instruments.

Hao-Wen Dong, Ke Chen, Shlomo Dubnov, Julian J. McAuley, Taylor Berg-Kirkpatrick

CoRR, 2022

Memorization in NLP Fine-tuning Methods.

Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David Evans, Taylor Berg-Kirkpatrick

CoRR, 2022

Mix and Match: Learning-free Controllable Text Generation using Energy Language Models.

Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick

CoRR, 2022

TONet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.

Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov

CoRR, 2022

An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization.

Nikolai Vogler, Songlin Li, Yujie Xu, Yujian Mi, Taylor Berg-Kirkpatrick

CoRR, 2022

Lacuna Reconstruction: Self-Supervised Pre-Training for Low-Resource Historical Document Transcription.

Nikolai Vogler, Jonathan Parkes Allen, Matthew Thomas Miller, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context.

Daniel Spokoyny, Ivan Lee, Zhao Jin, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis.

Fatemehsadat Mireshghallah, Vaishnavi Shrivastava, Milad Shokouhi, Taylor Berg-Kirkpatrick, Robert Sim, Dimitrios Dimitriadis

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Checklist Models for Improved Output Fluency in Piano Fingering Prediction.

Nikita Srivatsan, Taylor Berg-Kirkpatrick

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Improving Choral Music Separation through Expressive Synthesized Data from Sampled Instruments.

Ke Chen, Hao-Wen Dong, Yi Luo, Julian J. McAuley, Taylor Berg-Kirkpatrick, Miller S. Puckette, Shlomo Dubnov

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Towards a Unified View of Parameter-Efficient Transfer Learning.

Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Tenth International Conference on Learning Representations, 2022

Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings.

Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick

Proceedings of the Tenth International Conference on Learning Representations, 2022

Deep Performer: Score-to-Audio Music Performance Synthesis.

Hao-Wen Dong, Cong Zhou, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the IEEE International Conference on Acoustics, 2022

Tonet: Tone-Octave Network for Singing Melody Extraction from Polyphonic Music.

Ke Chen, Shuai Yu, Cheng-i Wang, Wei Li, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the IEEE International Conference on Acoustics, 2022

HTS-AT: A Hierarchical Token-Semantic Audio Transformer for Sound Classification and Detection.

Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the IEEE International Conference on Acoustics, 2022

Prompt Consistency for Zero-Shot Task Generalization.

Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Paraphrastic Representations at Scale.

John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

An Empirical Analysis of Memorization in Fine-tuned Autoregressive Language Models.

Fatemehsadat Mireshghallah, Archit Uniyal, Tianhao Wang, David E. Evans, Taylor Berg-Kirkpatrick

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks.

Fatemehsadat Mireshghallah, Kartik Goyal, Archit Uniyal, Taylor Berg-Kirkpatrick, Reza Shokri

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

HeLo: Learning-Free Lookahead Decoding for Conversation Infilling.

Ivan Lee, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models.

Fatemehsadat Mireshghallah, Kartik Goyal, Taylor Berg-Kirkpatrick

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.

Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

HOLM: Hallucinating Objects with Language Models for Referring Expression Recognition in Partially-Observed Scenes.

Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data.

Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Truth-Conditional Captioning of Time Series Data.

Harsh Jhamtani, Taylor Berg-Kirkpatrick

CoRR, 2021

Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction.

Maria Ryskina, Eduard H. Hovy, Taylor Berg-Kirkpatrick, Matthew R. Gormley

CoRR, 2021

An Empirical Study of Extrapolation in Text Generation with Scalar Control.

Aashi Jain, Taylor Berg-Kirkpatrick

CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models.

Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim

CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels.

Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Empirical Evaluation of End-to-End Polyphonic Optical Music Recognition.

Sachinda Edirisooriya, Hao-Wen Dong, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Towards Automatic Instrumentation by Learning to Separate Parts in Symbolic Multitrack Music.

Hao-Wen Dong, Chris Donahue, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Neural Representation Learning for Scribal Hands of Linear B.

Nikita Srivatsan, Jason Vega, Christina Skelton, Taylor Berg-Kirkpatrick

Proceedings of the Document Analysis and Recognition, 2021

Scalable Font Reconstruction with Dual Latent Manifolds.

Nikita Srivatsan, Si Wu, Jonathan T. Barron, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Style Pooling: Automatic Text Style Obfuscation for Improved Classification Fairness.

Fatemehsadat Mireshghallah, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Investigating Robustness of Dialog Models to Popular Figurative Language Constructs.

Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Truth-Conditional Captions for Time Series Data.

Harsh Jhamtani, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Efficient Nearest Neighbor Language Models.

Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.

Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation.

Varun Gangal, Harsh Jhamtani, Eduard H. Hovy, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Where New Words Are Born: Distributional Semantic Analysis of Neologisms and Their Semantic Neighborhoods.

Maria Ryskina, Ella Rabinovich, Taylor Berg-Kirkpatrick, David R. Mortensen, Yulia Tsvetkov

CoRR, 2020

Learning Sparse Prototypes for Text Generation.

Junxian He, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MusPy: A Toolkit for Symbolic Music Generation.

Hao-Wen Dong, Ke Chen, Julian J. McAuley, Taylor Berg-Kirkpatrick

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Music SketchNet: Controllable Music Generation via Factorized Representations of Pitch and Rhythm.

Ke Chen, Cheng-i Wang, Taylor Berg-Kirkpatrick, Shlomo Dubnov

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

A Probabilistic Formulation of Unsupervised Text Style Transfer.

Junxian He, Xinyi Wang, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 8th International Conference on Learning Representations, 2020

A Bilingual Generative Transformer for Semantic Sentence Embedding.

John Wieting, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.

Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Narrative Text Generation with a Latent Discrete Plan.

Harsh Jhamtani, Taylor Berg-Kirkpatrick

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Empirical Investigation of Contextualized Number Prediction.

Taylor Berg-Kirkpatrick, Daniel Spokoyny

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Domain Adaptation via Context Prediction for Engineering Diagram Search.

Harsh Jhamtani, Taylor Berg-Kirkpatrick

Proceedings of the Advances in Information Retrieval, 2020

Phonetic and Visual Priors for Decipherment of Informal Romanization.

Maria Ryskina, Matthew R. Gormley, Taylor Berg-Kirkpatrick

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing.

Kartik Goyal, Chris Dyer, Christopher N. Warren, Max G'Sell, Taylor Berg-Kirkpatrick

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Refer360$^\circ$: A Referring Expression Recognition Dataset in 360$^\circ$ Images.

Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search.

Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Lagging Inference Networks and Posterior Collapse in Variational Autoencoders.

Junxian He, Daniel Spokoyny, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 7th International Conference on Learning Representations, 2019

A Deep Factorization of Style and Structure in Fonts.

Nikita Srivatsan, Jonathan T. Barron, Dan Klein, Taylor Berg-Kirkpatrick

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text.

Bohan Li, Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick, Yiming Yang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Rhyming Constraints using Structured Adversaries.

Harsh Jhamtani, Sanket Vaibhav Mehta, Jaime G. Carbonell, Taylor Berg-Kirkpatrick

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.

John Wieting, Kevin Gimpel, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.

John Wieting, Taylor Berg-Kirkpatrick, Kevin Gimpel, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections.

Junxian He, Zhisong Zhang, Taylor Berg-Kirkpatrick, Graham Neubig

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis.

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

Proceedings of the 2018 Text Analysis Conference, 2018

Unsupervised Text Style Transfer using Language Models as Discriminators.

Zichao Yang, Zhiting Hu, Chris Dyer, Eric P. Xing, Taylor Berg-Kirkpatrick

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Speaker-Follower Models for Vision-and-Language Navigation.

Daniel Fried, Ronghang Hu, Volkan Cirik, Anna Rohrbach, Jacob Andreas, Louis-Philippe Morency, Taylor Berg-Kirkpatrick, Kate Saenko, Dan Klein, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Visual Referring Expression Recognition: What Do Systems Actually Learn?

Volkan Cirik, Louis-Philippe Morency, Taylor Berg-Kirkpatrick

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Modeling Online Discourse with Coupled Distributed Topics.

Nikita Srivatsan, Zachary Wojtowicz, Taylor Berg-Kirkpatrick

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Describe Differences Between Pairs of Similar Images.

Harsh Jhamtani, Taylor Berg-Kirkpatrick

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unsupervised Learning of Syntactic Structure with Invertible Neural Projections.

Junxian He, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning to Generate Move-by-Move Commentary for Chess Games from Large-Scale Social Forum Data.

Harsh Jhamtani, Varun Gangal, Eduard H. Hovy, Graham Neubig, Taylor Berg-Kirkpatrick

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

SPINE: SParse Interpretable Neural Embeddings.

Anant Subramanian, Danish Pruthi, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Eduard H. Hovy

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models.

Kartik Goyal, Graham Neubig, Chris Dyer, Taylor Berg-Kirkpatrick

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Using Syntax to Ground Referring Expressions in Natural Images.

Volkan Cirik, Taylor Berg-Kirkpatrick, Louis-Philippe Morency

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Tools for Automated Analysis of Cybercriminal Markets.

Rebecca S. Portnoff, Sadia Afroz, Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, Vern Paxson

Proceedings of the 26th International Conference on World Wide Web, 2017

Efficient Correlated Topic Modeling with Topic Embedding.

Junxian He, Zhiting Hu, Taylor Berg-Kirkpatrick, Ying Huang, Eric P. Xing

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Improved Variational Autoencoders for Text Modeling using Dilated Convolutions.

Zichao Yang, Zhiting Hu, Ruslan Salakhutdinov, Taylor Berg-Kirkpatrick

Proceedings of the 34th International Conference on Machine Learning, 2017

Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation.

Greg Durrett, Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca S. Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, Vern Paxson

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Automatic Compositor Attribution in the First Folio of Shakespeare.

Maria Ryskina, Hannah Alpert-Abrams, Dan Garrette, Taylor Berg-Kirkpatrick

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Differentiable Scheduled Sampling for Credit Assignment.

Kartik Goyal, Chris Dyer, Taylor Berg-Kirkpatrick

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints.

Greg Durrett, Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Unsupervised Code-Switching for Multilingual Historical Document Transcription.

Dan Garrette, Hannah Alpert-Abrams, Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

GPU-Friendly Local Regression for Voice Conversion.

Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

An Empirical Analysis of Optimization for Max-Margin NLP.

Jonathan K. Kummerfeld, Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Unsupervised Transcription of Piano Music.

Taylor Berg-Kirkpatrick, Jacob Andreas, Dan Klein

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparser, Better, Faster GPU Parsing.

David Hall, Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

Improved Typesetting Models for Historical OCR.

Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Learning Whom to Trust with MACE.

Dirk Hovy, Taylor Berg-Kirkpatrick, Ashish Vaswani, Eduard H. Hovy

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Decipherment with a Million Random Restarts.

Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Unsupervised Transcription of Historical Documents.

Taylor Berg-Kirkpatrick, Greg Durrett, Dan Klein

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

An Empirical Investigation of Statistical Significance in NLP.

Taylor Berg-Kirkpatrick, David Burkett, Dan Klein

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, 2012

2011

Simple Effective Decipherment via Combinatorial Optimization.

Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Jointly Learning to Extract and Compress.

Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010

Painless Unsupervised Learning with Features.

Taylor Berg-Kirkpatrick, Alexandre Bouchard-Côté, John DeNero, Dan Klein

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Phylogenetic Grammar Induction.

Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the ACL 2010, 2010

2008

Learning Bilingual Lexicons from Monolingual Corpora.

Aria Haghighi, Percy Liang, Taylor Berg-Kirkpatrick, Dan Klein

Proceedings of the ACL 2008, 2008