Kuzman Ganchev

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 16

Top Topics

Semantic Role Labeling

Chinese Word Segmentation

Question Answering

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

Chaitanya Malaviya, Priyanka Agrawal, Kuzman Ganchev, Pranesh Srinivasan, Fantine Huot, Jonathan Berant, Mark Yatskar, Dipanjan Das, Mirella Lapata, Chris Alberti
DOLOMITES: Domain-Specific Long-Form Methodical Tasks. CoRR (2024)
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata
Conditional Generation with a Question-Answering Blueprint. Trans. Assoc. Comput. Linguistics 11 (2023)
Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. EACL (System Demonstrations) (2023)
Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata
QAmeleon: Multilingual QA with Only 5 Examples. Trans. Assoc. Comput. Linguistics 11 (2023)
Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. CoRR (2023)
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
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR (2022)
Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata
QAmeleon: Multilingual QA with Only 5 Examples. CoRR (2022)
Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba
Towards Computationally Verifiable Semantic Grounding for Language Models. CoRR (2022)
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata
Conditional Generation with a Question-Answering Blueprint. CoRR (2022)
Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. CoRR (2021)
Ji Ma, Kuzman Ganchev, David Weiss
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. EMNLP (2018)
Ji Ma, Kuzman Ganchev, David Weiss
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. CoRR (2018)
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
Globally Normalized Transition-Based Neural Networks. ACL (1) (2016)
Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins
Globally Normalized Transition-Based Neural Networks. CoRR (2016)
Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, Dipanjan Das
Semantic Role Labeling with Neural Network Factors. EMNLP (2015)
Oscar Täckström, Kuzman Ganchev, Dipanjan Das
Efficient Inference and Structured Learning for Semantic Role Labeling. Trans. Assoc. Comput. Linguistics 3 (2015)
Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev
Semantic Frame Identification with Distributed Word Representations. ACL (1) (2014)
João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Ben Taskar
Controlling Complexity in Part-of-Speech Induction. CoRR (2014)
Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh
Context-Dependent Fine-Grained Entity Type Tagging. CoRR (2014)
Kuzman Ganchev, Dipanjan Das
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization. EMNLP (2013)
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
Universal Dependency Annotation for Multilingual Parsing. ACL (2) (2013)
Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan
Censored Exploration and the Dark Pool Problem CoRR (2012)
Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
Multi-View Learning over Structured and Non-Identical Outputs CoRR (2012)
Kuzman Ganchev, Keith B. Hall, Ryan T. McDonald, Slav Petrov
Using Search-Logs to Improve Query Tagging. ACL (2) (2012)
João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Benjamin Taskar
Controlling Complexity in Part-of-Speech Induction. J. Artif. Intell. Res. 41 (2011)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
Posterior Sparsity in Unsupervised Dependency Parsing. J. Mach. Learn. Res. 12 (2011)
Gregory Druck, Kuzman Ganchev, João Graça
Rich Prior Knowledge in Learning for Natural Language Processing. ACL (Tutorial Abstracts) (2011)
Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar
Sparsity in Dependency Grammar Induction. ACL (2) (2010)
João Graça, Kuzman Ganchev, Ben Taskar
Learning Tractable Word Alignment Models with Complex Constraints. Comput. Linguistics 36 (3) (2010)
Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar
Posterior Regularization for Structured Latent Variable Models. J. Mach. Learn. Res. 11 (2010)
Kuzman Ganchev, Yuriy Nevmyvaka, Michael J. Kearns, Jennifer Wortman Vaughan
Censored exploration and the dark pool problem. Commun. ACM 53 (5) (2010)
Georgi Georgiev, Kuzman Ganchev, Vassil Momtchev, Deyan Peychev, Preslav Nakov, Angus Roberts
Tunable Domain-Independent Event Extraction in the MIRA Framework. BioNLP@HLT-NAACL (Shared Task) (2009)
Kuzman Ganchev, Georgi Georgiev
Edlin: an Easy to Read Linear Learning Framework. RANLP (2009)
Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. RANLP (2009)
Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Deyan Peychev, Vassil Momtchev
A Joint Model for Normalizing Gene and Organism Mentions in Text. BiomedicalIE@RANLP (2009)
Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan
Censored Exploration and the Dark Pool Problem. UAI (2009)
João Graça, Kuzman Ganchev, Ben Taskar
PostCAT - Posterior Constrained Alignment Toolkit. Prague Bull. Math. Linguistics 91 (2009)
Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar
Dependency Grammar Induction via Bitext Projection Constraints. ACL/IJCNLP (2009)
João Graça, Kuzman Ganchev, Ben Taskar, Fernando C. N. Pereira
Posterior vs Parameter Sparsity in Latent Variable Models. NIPS (2009)
Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
Multi-View Learning over Structured and Non-Identical Outputs. UAI (2008)
Kuzman Ganchev, João Graça, Ben Taskar
Better Alignments = Better Translations? ACL (2008)
Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar
Multi-View Learning over Structured and Non-Identical Outputs. UAI (2008)
Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll
Automatic Code Assignment to Medical Text. BioNLP@ACL (2007)
Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael J. Kearns
Empirical Price Modeling for Sponsored Search. WINE (2007)
Kuzman Ganchev, Fernando Pereira, Mark A. Mandel, Steven Carroll, Peter S. White
Semi-Automated Named Entity Annotation. LAW@ACL (2007)
João Graça, Kuzman Ganchev, Ben Taskar
Expectation Maximization and Posterior Constraints. NIPS (2007)
Mark Dredze, John Blitzer, Partha Pratim Talukdar, Kuzman Ganchev, João Graça, Fernando C. N. Pereira
Frustratingly Hard Domain Adaptation for Dependency Parsing. EMNLP-CoNLL (2007)
Tia Newhall, Sean Finney, Kuzman Ganchev, Michael Spiegel
Nswap: A Network Swapping Module for Linux Clusters. Euro-Par (2003)