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2020 – today
- 2024
[c30]Averi Nowak, Francesco Piccinno, Yasemin Altun:
Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches. NAACL-HLT 2024: 5488-5505- [i11]Mubashara Akhtar, Chenxi Pang, Andreea Marzoca, Yasemin Altun, Julian Martin Eisenschlos:
TANQ: An open domain dataset of table answered questions. CoRR abs/2405.07765 (2024) - 2023
- [c29]Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. ACL (Findings) 2023: 10381-10399 - [c28]Fangyu Liu, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. ACL (1) 2023: 12756-12770 - 2022
- [c27]Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun:
Table-To-Text generation and pre-training with TabT5. EMNLP (Findings) 2022: 6758-6766 - [c26]Shikib Mehri, Yasemin Altun, Maxine Eskénazi:
LAD: Language Models as Data for Zero-Shot Dialog. SIGDIAL 2022: 595-604 - [i10]Alice Shoshana Jakobovits, Francesco Piccinno, Yasemin Altun:
What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!? CoRR abs/2203.03431 (2022) - [i9]Shikib Mehri, Yasemin Altun, Maxine Eskénazi:
LAD: Language Models as Data for Zero-Shot Dialog. CoRR abs/2207.14393 (2022) - [i8]Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun:
Table-To-Text generation and pre-training with TabT5. CoRR abs/2210.09162 (2022) - [i7]Fangyu Liu
, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Yasemin Altun, Nigel H. Collier, Julian Martin Eisenschlos:
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering. CoRR abs/2212.09662 (2022) - [i6]Fangyu Liu, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Chenxi Pang, Kenton Lee, Mandar Joshi, Wenhu Chen, Nigel Collier, Yasemin Altun:
DePlot: One-shot visual language reasoning by plot-to-table translation. CoRR abs/2212.10505 (2022) - 2021
- [c25]Massimo Nicosia, Zhongdi Qu, Yasemin Altun:
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data. EMNLP (Findings) 2021: 3272-3284 - [i5]Massimo Nicosia, Zhongdi Qu, Yasemin Altun:
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data. CoRR abs/2109.04319 (2021)
2010 – 2019
- 2019
- [c24]Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. ACL (1) 2019: 95-106 - [c23]Thomas Müller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun:
Answering Conversational Questions on Structured Data without Logical Forms. EMNLP/IJCNLP (1) 2019: 5901-5909 - [i4]Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun:
Generating Logical Forms from Graph Representations of Text and Entities. CoRR abs/1905.08407 (2019) - [i3]Thomas Müller, Francesco Piccinno, Massimo Nicosia, Peter Shaw, Yasemin Altun:
Answering Conversational Questions on Structured Data without Logical Forms. CoRR abs/1908.11787 (2019) - 2017
- [e1]Yasemin Altun, Kamalika Das, Taneli Mielikäinen, Donato Malerba, Jerzy Stefanowski, Jesse Read, Marinka Zitnik, Michelangelo Ceci, Saso Dzeroski:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18-22, 2017, Proceedings, Part III. Lecture Notes in Computer Science 10536, Springer 2017, ISBN 978-3-319-71272-7 [contents] - 2016
- [j4]Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Transfer Learning in Brain-Computer Interfaces Abstract\uFFFDThe performance of brain-computer interfaces (BCIs) improves with the amount of avail. IEEE Comput. Intell. Mag. 11(1): 20-31 (2016) - 2015
- [i2]Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup:
Transfer Learning in Brain-Computer Interfaces. CoRR abs/1512.00296 (2015) - 2014
- [c22]Johannes Hoffart, Yasemin Altun, Gerhard Weikum:
Discovering emerging entities with ambiguous names. WWW 2014: 385-396 - 2013
- [c21]Katja Filippova, Yasemin Altun:
Overcoming the Lack of Parallel Data in Sentence Compression. EMNLP 2013: 1481-1491 - 2012
- [i1]Yasemin Altun, Alexander J. Smola, Thomas Hofmann:
Exponential Families for Conditional Random Fields. CoRR abs/1207.4131 (2012) - 2010
- [j3]Christian Widmer, Nora C. Toussaint, Yasemin Altun, Gunnar Rätsch:
Inferring latent task structure for Multitask Learning by Multiple Kernel Learning. BMC Bioinform. 11(S-8): S5 (2010) - [c20]Jan Peters, Katharina Mülling, Yasemin Altun:
Relative Entropy Policy Search. AAAI 2010: 1607-1612 - [c19]Ayse Erkan, Oliver Kroemer, Renaud Detry, Yasemin Altun, Justus H. Piater, Jan Peters:
Learning probabilistic discriminative models of grasp affordances under limited supervision. IROS 2010: 1586-1591 - [c18]Christian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch:
Novel Machine Learning Methods for MHC Class I Binding Prediction. PRIB 2010: 98-109 - [c17]Christian Widmer, Jose Leiva, Yasemin Altun, Gunnar Rätsch:
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. RECOMB 2010: 522-534 - [c16]Morteza Alamgir, Moritz Grosse-Wentrup, Yasemin Altun:
Multitask Learning for Brain-Computer Interfaces. AISTATS 2010: 17-24 - [c15]Ayse Erkan, Yasemin Altun:
Semi-Supervised Learning via Generalized Maximum Entropy. AISTATS 2010: 209-216
2000 – 2009
- 2009
- [j2]Charles Parker, Yasemin Altun, Prasad Tadepalli:
Guest editorial: special issue on structured prediction. Mach. Learn. 77(2-3): 161-164 (2009) - [c14]Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf:
Learning similarity measure for multi-modal 3D image registration. CVPR 2009: 186-193 - 2007
- [c13]Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan:
Semi-Markov Models for Sequence Segmentation. EMNLP-CoNLL 2007: 640-648 - 2006
- [c12]Yasemin Altun, Alexander J. Smola:
Unifying Divergence Minimization and Statistical Inference Via Convex Duality. COLT 2006: 139-153 - [c11]Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun:
Transductive Gaussian Process Regression with Automatic Model Selection. ECML 2006: 306-317 - [c10]Massimiliano Ciaramita, Yasemin Altun:
Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger. EMNLP 2006: 594-602 - 2005
- [b1]Yasemin Altun:
Discriminative Methods for Label Sequence Learning. Brown University, USA, 2005 - [j1]Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun:
Large Margin Methods for Structured and Interdependent Output Variables. J. Mach. Learn. Res. 6: 1453-1484 (2005) - [c9]Yasemin Altun, David A. McAllester, Mikhail Belkin:
Margin Semi-Supervised Learning for Structured Variables. NIPS 2005: 33-40 - 2004
- [c8]Michelle L. Gregory, Yasemin Altun:
Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech. ACL 2004: 677-683 - [c7]Yasemin Altun, Thomas Hofmann, Alexander J. Smola:
Gaussian process classification for segmenting and annotating sequences. ICML 2004 - [c6]Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun:
Support vector machine learning for interdependent and structured output spaces. ICML 2004 - [c5]Yasemin Altun, Alexander J. Smola, Thomas Hofmann:
Exponential Families for Conditional Random Fields. UAI 2004: 2-9 - 2003
- [c4]Yasemin Altun, Mark Johnson, Thomas Hofmann:
Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. EMNLP 2003 - [c3]Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann:
Hidden Markov Support Vector Machines. ICML 2003: 3-10 - [c2]Yasemin Altun, Thomas Hofmann:
Large margin methods for label sequence learning. INTERSPEECH 2003: 993-996 - 2002
- [c1]Yasemin Altun, Thomas Hofmann, Mark Johnson:
Discriminative Learning for Label Sequences via Boosting. NIPS 2002: 977-984
Coauthor Index
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