Kuzman Ganchev

According to our database, Kuzman Ganchev authored at least 36 papers between 2003 and 2023.

Collaborative distances:

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

2023

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation.

Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

2022

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models.

Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

CoRR, 2022

Towards Computationally Verifiable Semantic Grounding for Language Models.

Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba

CoRR, 2022

QAmeleon: Multilingual QA with Only 5 Examples.

Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata

CoRR, 2022

Conditional Generation with a Question-Answering Blueprint.

Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata

CoRR, 2022

2018

State-of-the-art Chinese Word Segmentation with Bi-LSTMs.

Ji Ma, Kuzman Ganchev, David Weiss

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Globally Normalized Transition-Based Neural Networks.

Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

Efficient Inference and Structured Learning for Semantic Role Labeling.

Oscar Täckström, Kuzman Ganchev, Dipanjan Das

Trans. Assoc. Comput. Linguistics, 2015

Semantic Role Labeling with Neural Network Factors.

Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, Dipanjan Das

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Context-Dependent Fine-Grained Entity Type Tagging.

Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh

CoRR, 2014

Semantic Frame Identification with Distributed Word Representations.

Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013

Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization.

Kuzman Ganchev, Dipanjan Das

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

Universal Dependency Annotation for Multilingual Parsing.

Ryan T. McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith B. Hall, Slav Petrov, Hao Zhang, Oscar Täckström, Claudia Bedini, Núria Bertomeu Castelló, Jungmee Lee

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

Using Search-Logs to Improve Query Tagging.

Kuzman Ganchev, Keith B. Hall, Ryan T. McDonald, Slav Petrov

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011

Posterior Sparsity in Unsupervised Dependency Parsing.

Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar

J. Mach. Learn. Res., 2011

Controlling Complexity in Part-of-Speech Induction.

João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Benjamin Taskar

J. Artif. Intell. Res., 2011

Rich Prior Knowledge in Learning for Natural Language Processing.

Gregory Druck, Kuzman Ganchev, João Graça

Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010

Posterior Regularization for Structured Latent Variable Models.

Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar

J. Mach. Learn. Res., 2010

Learning Tractable Word Alignment Models with Complex Constraints.

João Graça, Kuzman Ganchev, Ben Taskar

Comput. Linguistics, 2010

Censored exploration and the dark pool problem.

Kuzman Ganchev, Yuriy Nevmyvaka, Michael J. Kearns, Jennifer Wortman Vaughan

Commun. ACM, 2010

Sparsity in Dependency Grammar Induction.

Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar

Proceedings of the ACL 2010, 2010

2009

PostCAT - Posterior Constrained Alignment Toolkit.

João Graça, Kuzman Ganchev, Ben Taskar

Prague Bull. Math. Linguistics, 2009

A Joint Model for Normalizing Gene and Organism Mentions in Text.

Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Deyan Peychev, Vassil Momtchev

Proceedings of the Workshop on Biomedical Information Extraction@RANLP 2009, Borovets, 2009

Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields.

Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov

Proceedings of the Recent Advances in Natural Language Processing, 2009

Edlin: an Easy to Read Linear Learning Framework.

Kuzman Ganchev, Georgi Georgiev

Proceedings of the Recent Advances in Natural Language Processing, 2009

Posterior vs Parameter Sparsity in Latent Variable Models.

João Graça, Kuzman Ganchev, Ben Taskar, Fernando C. N. Pereira

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Tunable Domain-Independent Event Extraction in the MIRA Framework.

Georgi Georgiev, Kuzman Ganchev, Vassil Momtchev, Deyan Peychev, Preslav Nakov, Angus Roberts

Proceedings of the BioNLP 2009 Workshop Companion Volume for Shared Task, BioNLP@HLT-NAACL 2009, 2009

Dependency Grammar Induction via Bitext Projection Constraints.

Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar

Proceedings of the ACL 2009, 2009

2008

Multi-View Learning over Structured and Non-Identical Outputs.

Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar

Proceedings of the UAI 2008, 2008

Better Alignments = Better Translations?

Kuzman Ganchev, João Graça, Ben Taskar

Proceedings of the ACL 2008, 2008

2007

Empirical Price Modeling for Sponsored Search.

Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael J. Kearns

Proceedings of the Internet and Network Economics, Third International Workshop, 2007

Expectation Maximization and Posterior Constraints.

João Graça, Kuzman Ganchev, Ben Taskar

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Frustratingly Hard Domain Adaptation for Dependency Parsing.

Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando C. N. Pereira

Proceedings of the EMNLP-CoNLL 2007, 2007

Automatic Code Assignment to Medical Text.

Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll

Proceedings of the Biological, translational, and clinical language processing, 2007

Semi-Automated Named Entity Annotation.

Kuzman Ganchev, Fernando Pereira, Mark A. Mandel, Steven Carroll, Peter S. White

Proceedings of the Linguistic Annotation Workshop, 2007

2003

Nswap: A Network Swapping Module for Linux Clusters.

Tia Newhall, Sean Finney, Kuzman Ganchev, Michael Spiegel

Proceedings of the Euro-Par 2003. Parallel Processing, 2003