Shane Bergsma

According to our database, Shane Bergsma authored at least 40 papers between 2005 and 2024.

Collaborative distances:

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

2024

Sparse maximal update parameterization: A holistic approach to sparse training dynamics.

Nolan Dey, Shane Bergsma, Joel Hestness

CoRR, 2024

2023

SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting.

Shane Bergsma, Timothy Zeyl, Lei Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Gridiron: A Technique for Augmenting Cloud Workloads with Network Bandwidth Requirements.

Nodir Kodirov, Shane Bergsma, Syed M. Iqbal, Alan J. Hu, Ivan Beschastnikh, Margo I. Seltzer

CoRR, 2022

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting.

Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CoSpot: a cooperative VM allocation framework for increased revenue from spot instances.

Syed M. Iqbal, Haley Li, Shane Bergsma, Ivan Beschastnikh, Alan J. Hu

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

2021

Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks.

Shane Bergsma, Timothy Zeyl, Arik Senderovich, J. Christopher Beck

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

Fundy: A Scalable and Extensible Resource Manager for Cloud Resources.

Xiaodi Ke, Cong Guo, Siqi Ji, Shane Bergsma, Zhenhua Hu, Lei Guo

Proceedings of the 14th IEEE International Conference on Cloud Computing, 2021

2019

Minimum Makespan Workflow Scheduling for Malleable Jobs with Precedence Constraints and Lifetime Resource Demands.

Chen Chen, Xiaodi Ke, Timothy Zeyl, Kaixiang Du, Sam Sanjabi, Shane Bergsma, Reza Pournaghi, Chong Chen

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

2016

Extracting Anaphoric Agreement Properties from Corpora.

Shane Bergsma

Proceedings of the Anaphora Resolution - Algorithms, Resources, and Applications, 2016

2014

Learning to Measure Influence in a Scientific Social Network.

Shane Bergsma, Regan L. Mandryk, Gordon McCalla

Proceedings of the Advances in Artificial Intelligence, 2014

I'm a Belieber: Social Roles via Self-identification and Conceptual Attributes.

Charley Beller, Rebecca Knowles, Craig Harman, Shane Bergsma, Margaret Mitchell, Benjamin Van Durme

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

2013

Learning Domain-Specific, L1-Specific Measures of Word Readability.

Shane Bergsma, David Yarowsky

Trait. Autom. des Langues, 2013

Broadly Improving User Classification via Communication-Based Name and Location Clustering on Twitter.

Shane Bergsma, Mark Dredze, Benjamin Van Durme, Theresa Wilson, David Yarowsky

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

Explicit and Implicit Syntactic Features for Text Classification.

Matt Post, Shane Bergsma

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

Using Conceptual Class Attributes to Characterize Social Media Users.

Shane Bergsma, Benjamin Van Durme

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

2012

Stylometric Analysis of Scientific Articles.

Shane Bergsma, Matt Post, David Yarowsky

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

2011

Using Visual Information to Predict Lexical Preference.

Shane Bergsma, Randy Goebel

Proceedings of the Recent Advances in Natural Language Processing, 2011

Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images.

Shane Bergsma, Benjamin Van Durme

Proceedings of the IJCAI 2011, 2011

NADA: A Robust System for Non-referential Pronoun Detection.

Shane Bergsma, David Yarowsky

Proceedings of the Anaphora Processing and Applications, 2011

Joint Training of Dependency Parsing Filters through Latent Support Vector Machines.

Colin Cherry, Shane Bergsma

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation.

Shane Bergsma, David Yarowsky, Kenneth Ward Church

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

2010

New Tools for Web-Scale N-grams.

Dekang Lin, Kenneth Ward Church, Heng Ji, Satoshi Sekine, David Yarowsky, Shane Bergsma, Kailash Patil, Emily Pitler, Rachel Lathbury, Vikram Rao, Kapil Dalwani, Sushant Narsale

Proceedings of the International Conference on Language Resources and Evaluation, 2010

Predicting the Semantic Compositionality of Prefix Verbs.

Shane Bergsma, Aditya Bhargava, Hua He, Grzegorz Kondrak

Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

Improved Natural Language Learning via Variance-Regularization Support Vector Machines.

Shane Bergsma, Dekang Lin, Dale Schuurmans

Proceedings of the Fourteenth Conference on Computational Natural Language Learning, 2010

Using Web-scale N-grams to Improve Base NP Parsing Performance.

Emily Pitler, Shane Bergsma, Dekang Lin, Kenneth Ward Church

Proceedings of the COLING 2010, 2010

Fast and Accurate Arc Filtering for Dependency Parsing.

Shane Bergsma, Colin Cherry

Proceedings of the COLING 2010, 2010

The nature of noise in linguistic corpora.

Randy Goebel, Shane Bergsma, Ying Xu, Christoph Ringlstetter, Mi-Young Kim

Proceedings of the Fourth Workshop on Analytics for Noisy Unstructured Text Data, 2010

Transliteration Generation and Mining with Limited Training Resources.

Sittichai Jiampojamarn, Kenneth Dwyer, Shane Bergsma, Aditya Bhargava, Qing Dou, Mi-Young Kim, Grzegorz Kondrak

Proceedings of the 2010 Named Entities Workshop, 2010

Creating Robust Supervised Classifiers via Web-Scale N-Gram Data.

Shane Bergsma, Emily Pitler, Dekang Lin

Proceedings of the ACL 2010, 2010

2009

Web-Scale N-gram Models for Lexical Disambiguation.

Shane Bergsma, Dekang Lin, Randy Goebel

Proceedings of the IJCAI 2009, 2009

Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender.

Shane Bergsma, Dekang Lin, Randy Goebel

Proceedings of the Thirteenth Conference on Computational Natural Language Learning, 2009

A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion.

Qing Dou, Shane Bergsma, Sittichai Jiampojamarn, Grzegorz Kondrak

Proceedings of the ACL 2009, 2009

2008

Discriminative Learning of Selectional Preference from Unlabeled Text.

Shane Bergsma, Dekang Lin, Randy Goebel

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Distributional Identification of Non-Referential Pronouns.

Shane Bergsma, Dekang Lin, Randy Goebel

Proceedings of the ACL 2008, 2008

2007

Automatic Answer Typing for How-Questions.

Christopher Pinchak, Shane Bergsma

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Learning Noun Phrase Query Segmentation.

Shane Bergsma, Qin Iris Wang

Proceedings of the EMNLP-CoNLL 2007, 2007

Alignment-Based Discriminative String Similarity.

Shane Bergsma, Grzegorz Kondrak

Proceedings of the ACL 2007, 2007

2006

Bootstrapping Path-Based Pronoun Resolution.

Shane Bergsma, Dekang Lin

Proceedings of the ACL 2006, 2006

2005

An Expectation Maximization Approach to Pronoun Resolution.

Colin Cherry, Shane Bergsma

Proceedings of the Ninth Conference on Computational Natural Language Learning, 2005

Automatic Acquisition of Gender Information for Anaphora Resolution.

Shane Bergsma

Proceedings of the Advances in Artificial Intelligence, 2005