Yasemin Altun

According to our database1, Yasemin Altun authored at least 36 papers between 2002 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering.
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.
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!?
CoRR, 2022

LAD: Language Models as Data for Zero-Shot Dialog.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019
Answering Conversational Questions on Structured Data without Logical Forms.
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.
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.
IEEE Comput. Intell. Mag., 2016

2015
Transfer Learning in Brain-Computer Interfaces.
CoRR, 2015

2014
Discovering emerging entities with ambiguous names.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Overcoming the Lack of Parallel Data in Sentence Compression.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2010
Semi-Supervised Learning via Generalized Maximum Entropy.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Multitask Learning for Brain-Computer Interfaces.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Inferring latent task structure for Multitask Learning by Multiple Kernel Learning.
BMC Bioinform., 2010

Leveraging Sequence Classification by Taxonomy-Based Multitask Learning.
Proceedings of the Research in Computational Molecular Biology, 2010

Novel Machine Learning Methods for MHC Class I Binding Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

Learning probabilistic discriminative models of grasp affordances under limited supervision.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Relative Entropy Policy Search.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Guest editorial: special issue on structured prediction.
Mach. Learn., 2009

Learning similarity measure for multi-modal 3D image registration.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2007
Semi-Markov Models for Sequence Segmentation.
Proceedings of the EMNLP-CoNLL 2007, 2007

2006
Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger.
Proceedings of the EMNLP 2006, 2006

Transductive Gaussian Process Regression with Automatic Model Selection.
Proceedings of the Machine Learning: ECML 2006, 2006

Unifying Divergence Minimization and Statistical Inference Via Convex Duality.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006

2005
Discriminative Methods for Label Sequence Learning.
PhD thesis, 2005

Large Margin Methods for Structured and Interdependent Output Variables.
J. Mach. Learn. Res., 2005

Margin Semi-Supervised Learning for Structured Variables.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Exponential Families for Conditional Random Fields.
Proceedings of the UAI '04, 2004

Support vector machine learning for interdependent and structured output spaces.
Proceedings of the Machine Learning, 2004

Gaussian process classification for segmenting and annotating sequences.
Proceedings of the Machine Learning, 2004

Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003
Large margin methods for label sequence learning.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Hidden Markov Support Vector Machines.
Proceedings of the Machine Learning, 2003

Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences.
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003

2002
Discriminative Learning for Label Sequences via Boosting.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002


  Loading...