- APLN 505: Semantics and Pragmatics (Spring 2021; Montclair State University)
- COGST 1101: Introduction to Cognitive Science (Spring 2018; Cornell University — with Professor Jennifer Schwade
- LING 1101: Introduction to Linguistics (Fall 2017; Cornell University) — with Professor Miloje Despic
- LING 4424: Computational Linguistics (Spring 2017; Cornell University) — with Professor John Hale
- LING 1100-103: Endangered Languages (Fall 2016; Cornell University)
Jacob Collard
National Institute of Standards and Technology
Information Technology Laboratory
About
I'm a computational linguist/computer scientist currently working at the National Institute of Standards and Technology. The key thread underlying my work is computational epistemology: I study how knowledge is formed, communicated, and represented formally. This begins with linguistics, the interpretive lens through which most of human knowledge is expressed, but extends into a number of related fields including logic, semiotics, and artificial intelligence. Though i work at the foundational level, studying the basic processes that make knowledge work, I strive to consider the practical, real-world impacts of my research, which has led to the development of computational tools that have been applied to industrial standards development, scientific research practices, and engineering.
Selected Publications
Jacob Collard, Spencer Breiner, and Eswaran Subrahmanian. 2026. Workshop Report on Technologies and Use Cases for Smart Standards.
Spencer Breiner, Jacob Collard, Frederic de Vaulx, Eric Simmon, Eswaran Subrahmanian, and Priam Varin. 2025. Smart development for smart standards. OIML Bulletin, 66(3).
Jacob Collard, Eswaran Subrahmanian, Spencer Breiner, and Ram D. Sriram. 2025. Standards as Discourse. International Design Conference.
Jacob Collard, Valeria de Paiva, and Eswaran Subrahmanian. 2024. Mathematical Entities: Corpora and Benchmarks. In Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, and Nianwen Xue, editors, Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 11080–11089, Torino, Italia. ELRA, ICCL.
Jacob Collard, Valeria de Paiva, Brendan Fong, and Eswaran Subrahmanian. 2022. Extracting Mathematical Concepts from Text. In Proceedings of the Eighth Workshop on Noisy User-generated Text (W-NUT 2022), pages 15–23, Gyeongju, South Korea. Association for Computational Linguistics.
Ira Monarch, Jacob Collard, Sangjin Shin, Eswaran Subrahmanian, Talapady N. Bhat, and Ram Sriram. 2022. Making Semantic Structures Explicit: Developing and Evaluating Tools and Techniques to Support Understanding of Large Cybersecurity Corpora.
Jacob Collard. 2020. Unsupervised Formal Grammar Induction with Confidence. In Allyson Ettinger, Gaja Jarosz, and Joe Pater, editors, Proceedings of the Third Annual Meeting of the Society for Computation in Linguistics (SCiL 2020), pages 400–408, New York, New York. Association for Computational Linguistics.
Jacob Collard, Talapady Bhat, Eswaran Subrahmanian, Ira Monarch, Jonah Tash, Ram Sriram, and John Elliot. 2020. A Web Resource for Exploring the CORD-19 Dataset Using Root- and Rule-Based Phrases. Journal of the Indian Institute of Science, 100(4):725–731.
John Elliot, Talapady Bhat, Ursula Kattner, Carelyn Campbell, Ram Sriram, Eswaran Subrahmanian, and Ira Monarch. 2020. Knowledge Management System and Process for Managing Knowledge. Patent Number 10,872,122.
Talapady Bhat, John Elliot, Ursula Kattner, Carelyn Campbell, Eswaran Subrahmanian, Ram Sriram, Jacob Collard, and Ira Monarch. 2018. Generating Domain Terminologies using Root- and Rule-Based Terms. (104).
Jacob Collard. 2018. Finite State Reasoning for Presupposition Satisfaction. In Manjira Sinha and Tirthankar Dasgupta, editors, Proceedings of the First International Workshop on Language Cognition and Computational Models, pages 53–62, Santa Fe, New Mexico. Association for Computational Linguistics.