Yasemin Altun

According to our database, Yasemin Altun authored at least 38 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TANQ: An open domain dataset of table answered questions.

Mubashara Akhtar, Chenxi Pang, Andreea Marzoca, Yasemin Altun, Julian Martin Eisenschlos

CoRR, 2024

Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches.

Averi Nowak, Francesco Piccinno, Yasemin Altun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering.

Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DePlot: One-shot visual language reasoning by plot-to-table translation.

Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!?

Alice Shoshana Jakobovits, Francesco Piccinno, Yasemin Altun

CoRR, 2022

LAD: Language Models as Data for Zero-Shot Dialog.

Shikib Mehri, Yasemin Altun, Maxine Eskénazi

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2022

Table-To-Text generation and pre-training with TabT5.

Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data.

Massimo Nicosia, Zhongdi Qu, Yasemin Altun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

Answering Conversational Questions on Structured Data without Logical Forms.

Thomas Müller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Logical Forms from Graph Representations of Text and Entities.

Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2016

Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail.

Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup

IEEE Comput. Intell. Mag., 2016

2015

Transfer Learning in Brain-Computer Interfaces.

Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup

CoRR, 2015

2014

Discovering emerging entities with ambiguous names.

Johannes Hoffart, Yasemin Altun, Gerhard Weikum

Proceedings of the 23rd International World Wide Web Conference, 2014

2013

Overcoming the Lack of Parallel Data in Sentence Compression.

Katja Filippova, Yasemin Altun

Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2010

Semi-Supervised Learning via Generalized Maximum Entropy.

Ayse Erkan, Yasemin Altun

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Multitask Learning for Brain-Computer Interfaces.

Morteza Alamgir, Moritz Grosse-Wentrup, Yasemin Altun

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning.

Christian Widmer, Nora C. Toussaint, Yasemin Altun, Gunnar Rätsch

BMC Bioinform., 2010

Leveraging Sequence Classification by Taxonomy-Based Multitask Learning.

Christian Widmer, Jose Leiva, Yasemin Altun, Gunnar Rätsch

Proceedings of the Research in Computational Molecular Biology, 2010

Novel Machine Learning Methods for MHC Class I Binding Prediction.

Christian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch

Proceedings of the Pattern Recognition in Bioinformatics, 2010

Learning probabilistic discriminative models of grasp affordances under limited supervision.

Ayse Erkan, Oliver Kroemer, Renaud Detry, Yasemin Altun, Justus H. Piater, Jan Peters

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Relative Entropy Policy Search.

Jan Peters, Katharina Mülling, Yasemin Altun

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Guest editorial: special issue on structured prediction.

Charles Parker, Yasemin Altun, Prasad Tadepalli

Mach. Learn., 2009

Learning similarity measure for multi-modal 3D image registration.

Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007

Semi-Markov Models for Sequence Segmentation.

Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan

Proceedings of the EMNLP-CoNLL 2007, 2007

2006

Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger.

Massimiliano Ciaramita, Yasemin Altun

Proceedings of the EMNLP 2006, 2006

Transductive Gaussian Process Regression with Automatic Model Selection.

Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun

Proceedings of the Machine Learning: ECML 2006, 2006

Unifying Divergence Minimization and Statistical Inference Via Convex Duality.

Yasemin Altun, Alexander J. Smola

Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005

Discriminative Methods for Label Sequence Learning.

Yasemin Altun

PhD thesis, 2005

Large Margin Methods for Structured and Interdependent Output Variables.

Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun

J. Mach. Learn. Res., 2005

Margin Semi-Supervised Learning for Structured Variables.

Yasemin Altun, David A. McAllester, Mikhail Belkin

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004

Exponential Families for Conditional Random Fields.

Yasemin Altun, Alexander J. Smola, Thomas Hofmann

Proceedings of the UAI '04, 2004

Support vector machine learning for interdependent and structured output spaces.

Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun

Proceedings of the Machine Learning, 2004

Gaussian process classification for segmenting and annotating sequences.

Yasemin Altun, Thomas Hofmann, Alexander J. Smola

Proceedings of the Machine Learning, 2004

Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech.

Michelle L. Gregory, Yasemin Altun

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003

Large margin methods for label sequence learning.

Yasemin Altun, Thomas Hofmann

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Hidden Markov Support Vector Machines.

Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann

Proceedings of the Machine Learning, 2003

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences.

Yasemin Altun, Mark Johnson, Thomas Hofmann

Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003

2002

Discriminative Learning for Label Sequences via Boosting.

Yasemin Altun, Thomas Hofmann, Mark Johnson

Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002