Automatic Acquisition of Gender Information for Anaphora Resolution. - Shane Bergsma (Canadian AI, 2005)

An Expectation Maximization Approach to Pronoun Resolution. - Colin Cherry; Shane Bergsma (CoNLL, 2005)

Bootstrapping Path-Based Pronoun Resolution. - Shane Bergsma; Dekang Lin (ACL, 2006)

Alignment-Based Discriminative String Similarity. - Shane Bergsma; Grzegorz Kondrak (ACL, 2007)

Learning Noun Phrase Query Segmentation. - Shane Bergsma; Qin Iris Wang (EMNLP-CoNLL, 2007)

Automatic Answer Typing for How-Questions. - Christopher Pinchak; Shane Bergsma (HLT-NAACL, 2007)

Distributional Identification of Non-Referential Pronouns. - Shane Bergsma; Dekang Lin; Randy Goebel (ACL, 2008)

Discriminative Learning of Selectional Preference from Unlabeled Text. - Shane Bergsma; Dekang Lin; Randy Goebel (EMNLP, 2008)

A Ranking Approach to Stress Prediction for Letter-to-Phoneme Conversion. - Qing Dou; Shane Bergsma; Sittichai Jiampojamarn; Grzegorz Kondrak (ACL/IJCNLP, 2009)

Glen, Glenda or Glendale: Unsupervised and Semi-supervised Learning of English Noun Gender. - Shane Bergsma; Dekang Lin; Randy Goebel (CoNLL, 2009)

Web-Scale N-gram Models for Lexical Disambiguation. - Shane Bergsma; Dekang Lin; Randy Goebel (IJCAI, 2009)

Creating Robust Supervised Classifiers via Web-Scale N-Gram Data. - Shane Bergsma; Emily Pitler; Dekang Lin (ACL, 2010)

Transliteration Generation and Mining with Limited Training Resources. - Sittichai Jiampojamarn; Kenneth Dwyer; Shane Bergsma; Aditya Bhargava; Qing Dou; Mi-Young Kim; Grzegorz Kondrak (NEWS@ACL, 2010)

The nature of noise in linguistic corpora. - Randy Goebel; Shane Bergsma; Ying Xu 003; Christoph Ringlstetter; Mi-Young Kim (AND, 2010)

Fast and Accurate Arc Filtering for Dependency Parsing. - Shane Bergsma; Colin Cherry (COLING, 2010)

Using Web-scale N-grams to Improve Base NP Parsing Performance. - Emily Pitler; Shane Bergsma; Dekang Lin; Kenneth Ward Church (COLING, 2010)

Improved Natural Language Learning via Variance-Regularization Support Vector Machines. - Shane Bergsma; Dekang Lin; Dale Schuurmans (CoNLL, 2010)

Predicting the Semantic Compositionality of Prefix Verbs. - Shane Bergsma; Aditya Bhargava; Hua He; Grzegorz Kondrak (EMNLP, 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 (LREC, 2010)

Using Large Monolingual and Bilingual Corpora to Improve Coordination Disambiguation. - Shane Bergsma; David Yarowsky; Kenneth Ward Church (ACL, 2011)

Joint Training of Dependency Parsing Filters through Latent Support Vector Machines. - Colin Cherry; Shane Bergsma (ACL (2), 2011)

NADA: A Robust System for Non-referential Pronoun Detection. - Shane Bergsma; David Yarowsky (DAARC, 2011)

Learning Bilingual Lexicons Using the Visual Similarity of Labeled Web Images. - Shane Bergsma; Benjamin Van Durme (IJCAI, 2011)

Using Visual Information to Predict Lexical Preference. - Shane Bergsma; Randy Goebel (RANLP, 2011)

Stylometric Analysis of Scientific Articles. - Shane Bergsma; Matt Post; David Yarowsky (HLT-NAACL, 2012)

Using Conceptual Class Attributes to Characterize Social Media Users. - Shane Bergsma; Benjamin Van Durme (ACL (1), 2013)

Explicit and Implicit Syntactic Features for Text Classification. - Matt Post; Shane Bergsma (ACL (2), 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 (HLT-NAACL, 2013)

Learning Domain-Specific, L1-Specific Measures of Word Readability. - Shane Bergsma; David Yarowsky (Trait. Autom. des Langues, 2013)

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 (ACL (2), 2014)

Learning to Measure Influence in a Scientific Social Network. - Shane Bergsma; Regan L. Mandryk; Gordon McCalla (Canadian AI, 2014)

Extracting Anaphoric Agreement Properties from Corpora. - Shane Bergsma (Anaphora Resolution - Algorithms, Resources, and Applications, 2016)

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 (ICDCS, 2019)

Fundy: A Scalable and Extensible Resource Manager for Cloud Resources. - Xiaodi Ke; Cong Guo; Siqi Ji; Shane Bergsma; Zhenhua Hu; Lei Guo (CLOUD, 2021)

Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks. - Shane Bergsma; Timothy Zeyl; Arik Senderovich; J. Christopher Beck (SOSP, 2021)

CoSpot: a cooperative VM allocation framework for increased revenue from spot instances. - Syed M. Iqbal; Haley Li; Shane Bergsma; Ivan Beschastnikh; Alan J. Hu (SoCC, 2022)

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. - Shane Bergsma; Timothy Zeyl; Javad Rahimipour Anaraki; Lei Guo (NeurIPS, 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)

SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting. - Shane Bergsma; Timothy Zeyl; Lei Guo (NeurIPS, 2023)

Sparse maximal update parameterization: A holistic approach to sparse training dynamics. - Nolan Dey; Shane Bergsma; Joel Hestness (NeurIPS, 2024)

Normalization Layer Per-Example Gradients are Sufficient to Predict Gradient Noise Scale in Transformers. - Gavia Gray; Aman Tiwari; Shane Bergsma; Joel Hestness (NeurIPS, 2024)

Straight to Zero: Why Linearly Decaying the Learning Rate to Zero Works Best for LLMs. - Shane Bergsma; Nolan Simran Dey; Gurpreet Gosal; Gavia Gray; Daria Soboleva; Joel Hestness (ICLR, 2025)

Don't be lazy: CompleteP enables compute-efficient deep transformers. - Nolan Dey; Bin Claire Zhang; Lorenzo Noci; Mufan Bill Li; Blake Bordelon; Shane Bergsma; Cengiz Pehlevan; Boris Hanin; Joel Hestness (CoRR, 2025)

Power Lines: Scaling Laws for Weight Decay and Batch Size in LLM Pre-training. - Shane Bergsma; Nolan Dey; Gurpreet Gosal; Gavia Gray; Daria Soboleva; Joel Hestness (CoRR, 2025)