Comparing Distributional Semantics Models for identifying groups of semantically related words. - Venelin Kovatchev; Maria Salamó; M. Antònia Martí (Proces. del Leng. Natural, 2016)

WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of Texts. - Venelin Kovatchev; Toni Martí; Maria Salamó (COLING (Demos), 2018)

ETPC - A Paraphrase Identification Corpus Annotated with Extended Paraphrase Typology and Negation. - Venelin Kovatchev; Toni Martí; Maria Salamó (LREC, 2018)

Annotating and analyzing the interactions between meaning relations. - Darina Gold; Venelin Kovatchev; Torsten Zesch (LAW@ACL, 2019)

A Qualitative Evaluation Framework for Paraphrase Identification. - Venelin Kovatchev; Maria Antònia Martí; Maria Salamó; Javier Beltrán (RANLP, 2019)

Proceedings of the Student Research Workshop Associated with RANLP 2019. - Venelin Kovatchev; Irina P. Temnikova; Branislava Sandrih; Ivelina Nikolova (RANLP Student Research Workshop, 2019)

"What is on your mind?" Automated Scoring of Mindreading in Childhood and Early Adolescence. - Venelin Kovatchev; Phillip Smith; Mark G. Lee; Imogen Grumley Traynor; Irene Luque Aguilera; Rory T. Devine (COLING, 2020)

An Analysis of Natural Language Inference Benchmarks through the Lens of Negation. - Md Mosharaf Hossain; Venelin Kovatchev; Pranoy Dutta; Tiffany Kao; Elizabeth Wei; Eduardo Blanco 002 (EMNLP (1), 2020)

Decomposing and Comparing Meaning Relations: Paraphrasing, Textual Entailment, Contradiction, and Specificity. - Venelin Kovatchev; Darina Gold; Maria Antònia Martí; Maria Salamó; Torsten Zesch (LREC, 2020)

Can vectors read minds better than experts? Comparing data augmentation strategies for the automated scoring of children's mindreading ability. - Venelin Kovatchev; Phillip Smith; Mark G. Lee; Rory T. Devine (ACL/IJCNLP (1), 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

ProtoTEx: Explaining Model Decisions with Prototype Tensors. - Anubrata Das 001; Chitrank Gupta; Venelin Kovatchev; Matthew Lease; Junyi Jessy Li (ACL (1), 2022)

InferES : A Natural Language Inference Corpus for Spanish Featuring Negation-Based Contrastive and Adversarial Examples. - Venelin Kovatchev; Mariona Taulé (COLING, 2022)

Fairly Accurate: Learning Optimal Accuracy vs. Fairness Tradeoffs for Hate Speech Detection. - Venelin Kovatchev; Soumyajit Gupta; Matthew Lease (CoRR, 2022)

longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks. - Venelin Kovatchev; Trina Chatterjee; Venkata Subrahmanyan Govindarajan; Jifan Chen; Eunsol Choi; Gabriella Chronis; Anubrata Das 001; Katrin Erk; Matthew Lease; Junyi Jessy Li; Yating Wu 002; Kyle Mahowald (CoRR, 2022)

Paraphrasing, textual entailment, and semantic similarity above word level. - Venelin Kovatchev (CoRR, 2022)

The state of human-centered NLP technology for fact-checking. - Anubrata Das 001; Houjiang Liu; Venelin Kovatchev; Matthew Lease (Inf. Process. Manag., 2023)

Benchmark Transparency: Measuring the Impact of Data on Evaluation. - Venelin Kovatchev; Matthew Lease (NAACL-HLT, 2024)

Fairly Accurate: Optimizing Accuracy Parity in Fair Target-Group Detection. - Soumyajit Gupta; Venelin Kovatchev; Maria De-Arteaga; Matthew Lease (CoRR, 2024)

Structured Tender Entities Extraction from Complex Tables with Few-short Learning. - Asim Abbas 003; Mark Lee 001; Niloofer Shanavas; Venelin Kovatchev; Mubashir Ali (COLING Workshops, 2025)

Sources of Disagreement in Data for LLM Instruction Tuning. - Russel D'Souza; Venelin Kovatchev (COLING Workshops, 2025)

MTNER: Multiple Tender Named Entities Recognition and Classification from Unstructured Tender Documents. - Asim Abbas 003; Mark Lee 001; Venelin Kovatchev; Niloofer Shanavas (IMCOM, 2025)

Finding Pareto trade-offs in fair and accurate detection of toxic speech. - Soumyajit Gupta; Venelin Kovatchev; Anubrata Das 001; Maria De-Arteaga; Matthew Lease (Inf. Res., 2025)

AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons. - Shaona Ghosh; Heather Frase; Adina Williams; Sarah Luger; Paul Röttger; Fazl Barez; Sean McGregor; Kenneth Fricklas; Mala Kumar; Quentin Feuillade-Montixi; Kurt Bollacker; Felix Friedrich; et al. (CoRR, 2025)