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Ece Takmaz
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2020 – today
- 2024
- [c7]Ece Takmaz, Sandro Pezzelle, Raquel Fernández:
Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. EACL (1) 2024: 2072-2087 - [i8]Ece Takmaz, Sandro Pezzelle, Raquel Fernández:
Describing Images Fast and Slow: Quantifying and Predicting the Variation in Human Signals during Visuo-Linguistic Processes. CoRR abs/2402.01352 (2024) - [i7]Hanna-Sophia Widhoelzl, Ece Takmaz:
Decoding Emotions in Abstract Art: Cognitive Plausibility of CLIP in Recognizing Color-Emotion Associations. CoRR abs/2405.06319 (2024) - [i6]Anna Bavaresco, Raffaella Bernardi, Leonardo Bertolazzi, Desmond Elliott, Raquel Fernández, Albert Gatt, Esam Ghaleb, Mario Giulianelli, Michael Hanna, Alexander Koller, André F. T. Martins, Philipp Mondorf, Vera Neplenbroek, Sandro Pezzelle, Barbara Plank, David Schlangen, Alessandro Suglia, Aditya K. Surikuchi, Ece Takmaz, Alberto Testoni:
LLMs instead of Human Judges? A Large Scale Empirical Study across 20 NLP Evaluation Tasks. CoRR abs/2406.18403 (2024) - 2023
- [c6]Ece Takmaz, Nicolo' Brandizzi, Mario Giulianelli, Sandro Pezzelle, Raquel Fernández:
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. ACL (Findings) 2023: 4198-4217 - [i5]Ece Takmaz, Nicolo' Brandizzi, Mario Giulianelli, Sandro Pezzelle, Raquel Fernández:
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind. CoRR abs/2305.19933 (2023) - 2022
- [c5]Ece Takmaz, Sandro Pezzelle, Raquel Fernández:
Time Alignment between Gaze and Speech in Image Descriptions: Exploring Theories of Linearization. CogSci 2022 - 2021
- [j1]Sandro Pezzelle, Ece Takmaz, Raquel Fernández:
Word Representation Learning in Multimodal Pre-Trained Transformers: An Intrinsic Evaluation. Trans. Assoc. Comput. Linguistics 9: 1563-1579 (2021) - [e1]Ionut-Teodor Sorodoc, Madhumita Sushil, Ece Takmaz, Eneko Agirre:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, EACL 2021, Online, April 19-23, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-04-6 [contents] - 2020
- [c4]Ece Takmaz, Mario Giulianelli, Sandro Pezzelle, Arabella Sinclair, Raquel Fernández:
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. EMNLP (1) 2020: 4350-4368 - [c3]Ece Takmaz, Sandro Pezzelle, Lisa Beinborn, Raquel Fernández:
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. EMNLP (1) 2020: 4664-4677 - [i4]Ece Takmaz, Mario Giulianelli, Sandro Pezzelle, Arabella Sinclair, Raquel Fernández:
Refer, Reuse, Reduce: Generating Subsequent References in Visual and Conversational Contexts. CoRR abs/2011.04554 (2020) - [i3]Ece Takmaz, Sandro Pezzelle, Lisa Beinborn, Raquel Fernández:
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human Gaze. CoRR abs/2011.04592 (2020)
2010 – 2019
- 2019
- [c2]Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández:
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. ACL (1) 2019: 1895-1910 - [c1]Ravi Shekhar, Ece Takmaz, Raquel Fernández, Raffaella Bernardi:
Evaluating the Representational Hub of Language and Vision Models. IWCS (1) 2019: 211-222 - [i2]Ravi Shekhar, Ece Takmaz, Raquel Fernández, Raffaella Bernardi:
Evaluating the Representational Hub of Language and Vision Models. CoRR abs/1904.06038 (2019) - [i1]Janosch Haber, Tim Baumgärtner, Ece Takmaz, Lieke Gelderloos, Elia Bruni, Raquel Fernández:
The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue. CoRR abs/1906.01530 (2019)
Coauthor Index
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