UMDeep at SemEval-2017 Task 1: End-to-End Shared Weight LSTM Model for Semantic Textual Similarity. - Joe Barrow; Denis Peskov (SemEval@ACL, 2017)

Can You Unpack That? Learning to Rewrite Questions-in-Context. - Ahmed Elgohary; Denis Peskov; Jordan L. Boyd-Graber (EMNLP/IJCNLP (1), 2019)

Multi-Domain Goal-Oriented Dialogues (MultiDoGO): Strategies toward Curating and Annotating Large Scale Dialogue Data. - Denis Peskov; Nancy E. Clarke; Jason Krone; Brigi Fodor; Yi Zhang; Adel Youssef; Mona T. Diab (EMNLP/IJCNLP (1), 2019)

Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts. - Elissa M. Redmiles; Lisa N. Maszkiewicz; Emily Hwang; Dhruv Kuchhal; Everest Liu; Miraida Morales; Denis Peskov; Sudha Rao; Rock Stevens; Kristina Gligoric; Sean Kross; Michelle L. Mazurek; et al. (EMNLP/IJCNLP (1), 2019)

Mitigating Noisy Inputs for Question Answering. - Denis Peskov; Joe Barrow; Pedro Rodriguez 001; Graham Neubig; Jordan L. Boyd-Graber (INTERSPEECH, 2019)

It Takes Two to Lie: One to Lie, and One to Listen. - Denis Peskov; Benny Cheng; Ahmed Elgohary; Joe Barrow; Cristian Danescu-Niculescu-Mizil; Jordan L. Boyd-Graber (ACL, 2020)

ContraCAT: Contrastive Coreference Analytical Templates for Machine Translation. - Dario Stojanovski; Benno Krojer; Denis Peskov; Alexander M. Fraser (COLING, 2020)

Adapting Entities across Languages and Cultures. - Denis Peskov; Viktor Hangya; Jordan L. Boyd-Graber; Alexander Fraser 001 (EMNLP (Findings), 2021)

Is Automated Topic Model Evaluation Broken? The Incoherence of Coherence. - Alexander Miserlis Hoyle; Pranav Goel 001; Andrew Hian-Cheong; Denis Peskov; Jordan L. Boyd-Graber; Philip Resnik (NeurIPS, 2021)

Gathering Natural Language Processing Data Using Experts. - Denis Peskov (2021)