Yasemin Altun

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 18

Top Topics

Semantic Parsing

Structured Databases

Transfer Learning

Graph Representations

Top Venues

EMNLP (Findings)

Publications

Mubashara Akhtar, Chenxi Pang, Andreea Marzoca, Yasemin Altun, Julian Martin Eisenschlos
TANQ: An open domain dataset of table answered questions. CoRR (2024)
Averi Nowak, Francesco Piccinno, Yasemin Altun
Multimodal Chart Retrieval: A Comparison of Text, Table and Image Based Approaches. NAACL-HLT (2024)
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)
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)
Shikib Mehri, Yasemin Altun, Maxine Eskénazi
LAD: Language Models as Data for Zero-Shot Dialog. CoRR (2022)
Ewa Andrejczuk, Julian Martin Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun
Table-To-Text generation and pre-training with TabT5. CoRR (2022)
Alice Shoshana Jakobovits, Francesco Piccinno, Yasemin Altun
What Did You Say? Task-Oriented Dialog Datasets Are Not Conversational!? CoRR (2022)
Ewa Andrejczuk, Julian Eisenschlos, Francesco Piccinno, Syrine Krichene, Yasemin Altun
Table-To-Text generation and pre-training with TabT5. EMNLP (Findings) (2022)
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 (2022)
Shikib Mehri, Yasemin Altun, Maxine Eskénazi
LAD: Language Models as Data for Zero-Shot Dialog. SIGDIAL (2022)
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 (2022)
Massimo Nicosia, Zhongdi Qu, Yasemin Altun
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data. EMNLP (Findings) (2021)
Massimo Nicosia, Zhongdi Qu, Yasemin Altun
Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data. CoRR (2021)
Thomas Müller, Francesco Piccinno, Peter Shaw, Massimo Nicosia, Yasemin Altun
Answering Conversational Questions on Structured Data without Logical Forms. EMNLP/IJCNLP (1) (2019)
Thomas Müller, Francesco Piccinno, Massimo Nicosia, Peter Shaw, Yasemin Altun
Answering Conversational Questions on Structured Data without Logical Forms. CoRR (2019)
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun
Generating Logical Forms from Graph Representations of Text and Entities. CoRR (2019)
Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun
Generating Logical Forms from Graph Representations of Text and Entities. ACL (1) (2019)
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) (2016)
Vinay Jayaram, Morteza Alamgir, Yasemin Altun, Bernhard Schölkopf, Moritz Grosse-Wentrup
Transfer Learning in Brain-Computer Interfaces. CoRR (2015)
Johannes Hoffart, Yasemin Altun, Gerhard Weikum
Discovering emerging entities with ambiguous names. WWW (2014)
Katja Filippova, Yasemin Altun
Overcoming the Lack of Parallel Data in Sentence Compression. EMNLP (2013)
Yasemin Altun, Alexander J. Smola, Thomas Hofmann
Exponential Families for Conditional Random Fields CoRR (2012)
Christian Widmer, Nora C. Toussaint, Yasemin Altun, Oliver Kohlbacher, Gunnar Rätsch
Novel Machine Learning Methods for MHC Class I Binding Prediction. PRIB (2010)
Ayse Erkan, Yasemin Altun
Semi-Supervised Learning via Generalized Maximum Entropy. AISTATS (2010)
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) (2010)
Christian Widmer, Jose Leiva, Yasemin Altun, Gunnar Rätsch
Leveraging Sequence Classification by Taxonomy-Based Multitask Learning. RECOMB (2010)
Morteza Alamgir, Moritz Grosse-Wentrup, Yasemin Altun
Multitask Learning for Brain-Computer Interfaces. AISTATS (2010)
Jan Peters, Katharina Mülling, Yasemin Altun
Relative Entropy Policy Search. AAAI (2010)
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)
Charles Parker, Yasemin Altun, Prasad Tadepalli
Guest editorial: special issue on structured prediction. Mach. Learn. 77 (2-3) (2009)
Daewon Lee, Matthias Hofmann, Florian Steinke, Yasemin Altun, Nathan D. Cahill, Bernhard Schölkopf
Learning similarity measure for multi-modal 3D image registration. CVPR (2009)
Qinfeng Shi, Yasemin Altun, Alexander J. Smola, S. V. N. Vishwanathan
Semi-Markov Models for Sequence Segmentation. EMNLP-CoNLL (2007)
Quoc V. Le, Alexander J. Smola, Thomas Gärtner, Yasemin Altun
Transductive Gaussian Process Regression with Automatic Model Selection. ECML (2006)
Massimiliano Ciaramita, Yasemin Altun
Broad-Coverage Sense Disambiguation and Information Extraction with a Supersense Sequence Tagger. EMNLP (2006)
Yasemin Altun, Alexander J. Smola
Unifying Divergence Minimization and Statistical Inference Via Convex Duality. COLT (2006)
Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun
Large Margin Methods for Structured and Interdependent Output Variables. J. Mach. Learn. Res. 6 (2005)
Yasemin Altun, David A. McAllester, Mikhail Belkin
Margin Semi-Supervised Learning for Structured Variables. NIPS (2005)
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten Joachims, Yasemin Altun
Support vector machine learning for interdependent and structured output spaces. ICML (2004)
Yasemin Altun, Thomas Hofmann, Alexander J. Smola
Gaussian process classification for segmenting and annotating sequences. ICML (2004)
Yasemin Altun, Alexander J. Smola, Thomas Hofmann
Exponential Families for Conditional Random Fields. UAI (2004)
Michelle L. Gregory, Yasemin Altun
Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech. ACL (2004)
Yasemin Altun, Thomas Hofmann
Large margin methods for label sequence learning. INTERSPEECH (2003)
Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann
Hidden Markov Support Vector Machines. ICML (2003)
Yasemin Altun, Mark Johnson, Thomas Hofmann
Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences. EMNLP (2003)
Yasemin Altun, Thomas Hofmann, Mark Johnson
Discriminative Learning for Label Sequences via Boosting. NIPS (2002)