A Structured Distributional Semantic Model for Event Co-reference. - Kartik Goyal; Sujay Kumar Jauhar; Huiying Li; Mrinmaya Sachan; Shashank Srivastava; Eduard H. Hovy (ACL (2), 2013)

A Structured Distributional Semantic Model : Integrating Structure with Semantics. - Kartik Goyal; Sujay Kumar Jauhar; Huiying Li; Mrinmaya Sachan; Shashank Srivastava; Eduard H. Hovy (CVSM@ACL, 2013)

Unsupervised Word Sense Induction using Distributional Statistics. - Kartik Goyal; Eduard H. Hovy (COLING, 2014)

Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik. - Patrick Littell; Kartik Goyal; David R. Mortensen; Alexa Little; Chris Dyer; Lori S. Levin (COLING, 2016)

PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors. - David R. Mortensen; Patrick Littell; Akash Bharadwaj; Kartik Goyal; Chris Dyer; Lori S. Levin (COLING, 2016)

Posterior regularization for Joint Modeling of Multiple Structured Prediction Tasks with Soft Constraints. - Kartik Goyal; Chris Dyer (SPNLP@EMNLP, 2016)

Bridge-Language Capitalization Inference in Western Iranian: Sorani, Kurmanji, Zazaki, and Tajik. - Patrick Littell; David R. Mortensen; Kartik Goyal; Chris Dyer; Lori S. Levin (LREC, 2016)

Differentiable Scheduled Sampling for Credit Assignment. - Kartik Goyal; Chris Dyer; Taylor Berg-Kirkpatrick (ACL (2), 2017)

A Continuous Relaxation of Beam Search for End-to-End Training of Neural Sequence Models. - Kartik Goyal; Graham Neubig; Chris Dyer; Taylor Berg-Kirkpatrick (AAAI, 2018)

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 (NAACL-HLT (1), 2019)

A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing. - Kartik Goyal; Chris Dyer; Christopher N. Warren; Max G'Sell; Taylor Berg-Kirkpatrick (ACL, 2020)

Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models. - Fatemehsadat Mireshghallah; Kartik Goyal; Taylor Berg-Kirkpatrick (ACL (1), 2022)

Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks. - Fatemehsadat Mireshghallah; Kartik Goyal; Archit Uniyal; Taylor Berg-Kirkpatrick; Reza Shokri (EMNLP, 2022)

Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis–Hastings. - Kartik Goyal; Chris Dyer; Taylor Berg-Kirkpatrick (ICLR, 2022)

Mix and Match: Learning-free Controllable Text Generation using Energy Language Models. - Fatemehsadat Mireshghallah; Kartik Goyal; Taylor Berg-Kirkpatrick (CoRR, 2022)

Characterizing and Overcoming the Limitations of Neural Autoregressive Models - Kartik Goyal (2022)

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 (AAAI, 2023)

Testing the Limits of Neural Sentence Alignment Models on Classical Greek and Latin Texts and Translations. - Caroline Craig; Kartik Goyal; Gregory R. Crane; Farnoosh Shamsian; David A. Smith (CHR, 2023)

MAP's not dead yet: Uncovering true language model modes by conditioning away degeneracy. - Davis Yoshida; Kartik Goyal; Kevin Gimpel (ACL (1), 2024)

Clustering Running Titles to Understand the Printing of Early Modern Books. - Nikolai Vogler; Kartik Goyal; Samuel V. Lemley; D. J. Schuldt; Christopher N. Warren; Max G'Sell; Taylor Berg-Kirkpatrick (ICDAR (3), 2024)

Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities. - Yunxiang Yan; Tomohiro Sawada; Kartik Goyal (CoRR, 2025)

Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models. - Tomohiro Sawada; Kartik Goyal (CoRR, 2025)