Yasemin Altun
Yasemin Altun is a Research Scientist at Google working on natural language understanding. She received her PhD from Brown University. Before joining Google, she was a faculty member in Toyota Technological Institute, Chicago and Max Planck Institute for Biological Cybernetics, Tuebingen.
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MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
Chenxi Pang
Mandar Joshi
Nigel Collier
Under review (2022)
Table-To-Text generation and pre-training with TabT5
Ewa Andrejczuk
Findings of EMNLP (2022)
DePlot: One-shot visual language understanding by plot-to-text translation
Chenxi Pang
Mandar Joshi
Nigel Collier
Under review (2022)
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing by Generating Synthetic Data
Zhongdi Qu
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (Findings), Association for Computational Linguistics (2021) (to appear)
Answering Conversational Questions on Structured Data without Logical Forms
Thomas Müller
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics (2019)
Overcoming the Lack of Parallel Data in Sentence Compression
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP '13), pp. 1481-1491
