Szymanik, J. (2013) Backward Induction is PTIME-complete.

In Grossi, D. Roy, O. Huang, H. (Eds.), Logic, Rationality, and Interaction: 4th International Workshop, LORI 2013, Hangzhou, China, October 9-12, 2013 : proceedings (pp 352-356) (Lecture Notes in Computer Science
FoLLI Publications on Logic, Language and Information, Vol. 8196). Springer.

Szymanik, J. (2016) Quantifiers and Cognition: Logical and Computational Perspectives.

Studies in Linguistics and Philosophy, Vol. 96. Springer.

Book | https://doi.org/10.1007/978-3-319-28749-2 | UvA-DARE

Szymanik, J. (2019) Bridging Logic, Philosophy, Computer and Cognitive Science: in the Memory of Marcin Mostowski (1955-2017): Introduction.

Fundamenta Informaticae, Vol. 164 (pp i-ii)

Article | https://doi.org/10.3233/FI-2019-1769 | UvA-DARE

Szymanik, J.K., Thorne, C. (2013) Quantifier Distribution and Semantic Complexity.

Paper | http://events.illc.uva.nl/Tbilisi/Tbilisi2013/uploaded_files/inlineitem/thorne.pdf | UvA-DARE

Szymanik, J.K., Zajenkowski, M. (2011) Contribution of working memory in the parity and proportional judgments.

Belgian Journal of Linguistics, Vol. 25 (pp 176-194)

Article | https://doi.org/10.1075/bjl.25.08szy | UvA-DARE

Szymanik, J.K. (2009) Quantifiers in TIME and SPACE : computational complexity of generalized quantifiers in natural language.

Institute for Logic, Language and Computation.

Thesis, fully internal | UvA-DARE

Tagliola, C., Adriaans, P.W., van Aartrijk, M.L. (2002) Al on the ocean: The Robosail project.

In van Harmelen, F. (Eds.), Ecai 2002 (pp 653-657). IOS Press.

Taitler, Ayal, Alford, R., Espasa, Joan, Behnke, G., Fišer, Daniel, Gimelfarb, Michael, Pommerening, Florian, Sanner, Scott, Scala, Enrico, Schreiber, Dominik, Segovia-Aguas, Javier, Seipp, Jendrik (2024) The 2023 International Planning Competition.

AI Magazine, Vol. 45 (pp 280-296)

Article | https://doi.org/10.1002/aaai.12169 | UvA-DARE

Takmaz, E., Brandizzi, N., Giulianelli, M., Pezzelle, S., Fernández, R. (2023) Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind.

In Rogers, A. Boyd-Graber, J. Okazaki, N. (Eds.), Findings of the Association for Computational Linguistics: ACL 2023: July 9-14, 2023 (pp 4198-4217). Association for Computational Linguistics.

Takmaz, E., Giulianelli, M., Pezzelle, S., Sinclair, A., Fernández, R. (2020) Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts.

In Webber, B. Cohn, T. He, Y. Liu, Y. (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp 4350-4368). The Association for Computational Linguistics.

Takmaz, E., Pezzelle, S., Beinborn, L., Fernández, R. (2020) Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze.

In Webber, B. Cohn, T. He, Y. Liu, Y. (Eds.), 2020 Conference on Empirical Methods in Natural Language Processing: EMNLP 2020 : proceedings of the conference : November 16-20, 2020 (pp 4664–4677). The Association for Computational Linguistics.

Takmaz, E., Pezzelle, S., Fernández, R. (2022) Time Alignment between Gaze and Speech in Image Descriptions: Exploring Theories of Linearization.

Abstract | https://escholarship.org/uc/item/83w56904 | UvA-DARE

Takmaz, E., Pezzelle, S., Fernández, R. (2022) Less Descriptive yet Discriminative: Quantifying the Properties of Multimodal Referring Utterances via CLIP.

In Chersoni, E. Hollenstein, N. Jacobs, C. Oseki, Y. Prévot, L. Santus, E. (Eds.), Workshop on Cognitive Modeling and Computational Linguistics: CMCL 2022 : proceedings of the workshop : May 26, 2022 (pp 36-42). Association for Computational Linguistics.

Takmaz, E. (2022) Team DMG at CMCL 2022 Shared Task: Transformer Adapters for the Multi- and Cross-Lingual Prediction of Human Reading Behavior.

In Chersoni, E. Hollenstein, N. Jacobs, C. Oseki, Y. Prévot, L. Santus, E. (Eds.), Workshop on Cognitive Modeling and Computational Linguistics: CMCL 2022 : proceedings of the workshop : May 26, 2022 (pp 136-144). Association for Computational Linguistics.

Takmaz, E.K. (2024) Visual and linguistic processes in deep neural networks: A cognitive perspective.

ILLC Dissertation series

Thesis, fully internal | UvA-DARE

Takmaz, Ece, Pezzelle, S., Fernández, R. (2024) Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes.

In Graham, Yvette Purver, Matthew (Eds.), EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp 2072-2087). Association for Computational Linguistics (ACL).

Tala, F., Kamps, J., Müller, K.E., de Rijke, M. (2003) The impact of stemming on information retrieval in Bahasa Indonesia.

In 14th Meeting of Computational Linguistics in the Netherlands. Amsterdam University Press.

Talat, Z., Névéol, A., Biderman, S., Clinciu, M., Dey, M., Longpre, S., Luccioni, A.S., Masoud, M., Mitchell, M., Radev, D., Sharma, S., Subramonian, A., Tae, J., Tan, S., Tunuguntla, D., van der Wal, O. (2022) You Reap What You Sow: On the Challenges of Bias Evaluation Under Multilingual Settings.

In Fan, A. Ilic, S. Wolf, T. Gallé, M (Eds.), Challenges & Perspectives in Creating Large Language Models: 2022 : Proceedings of the Workshop : May 27, 2022 (pp 26-41). Association for Computational Linguistics.

Talmina, N., Kochari, A., Szymanik, J. (2017) Quantifiers and verification strategies: connecting the dots.

In Cremers, A. van Gessel, T. Roelofsen, F. (Eds.), Proceedings of the 21st Amsterdam Colloquium (pp 465-473). ILLC.

Tamminga, A.M., Tanaka, K. (1999) A natural deduction system for first degree entailment.

Notre Dame Journal of Formal Logic, Vol. 40 (pp 258-272)

Article | UvA-DARE