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ORCIDKuzman Ganchev
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2020 – today
- 2024
[i13]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 abs/2405.05938 (2024)- 2023
- [j9]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: 974-996 (2023) - [j8]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: 1754-1771 (2023) - [c26]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: 105-116 - [i12]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 abs/2305.00034 (2023) - 2022
- [i11]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 abs/2207.00397 (2022) - [i10]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 abs/2211.08264 (2022) - [i9]Chris Alberti, Kuzman Ganchev, Michael Collins, Sebastian Gehrmann, Ciprian Chelba:
Towards Computationally Verifiable Semantic Grounding for Language Models. CoRR abs/2211.09070 (2022) - [i8]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 abs/2212.08037 (2022) - 2021
- [i7]Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov:
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. CoRR abs/2109.15121 (2021)
2010 – 2019
- 2018
- [c25]Ji Ma, Kuzman Ganchev, David Weiss:
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. EMNLP 2018: 4902-4908 - [i6]Ji Ma, Kuzman Ganchev, David Weiss:
State-of-the-art Chinese Word Segmentation with Bi-LSTMs. CoRR abs/1808.06511 (2018) - 2016
- [c24]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 - [i5]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. CoRR abs/1603.06042 (2016) - 2015
- [j7]Oscar Täckström, Kuzman Ganchev, Dipanjan Das:
Efficient Inference and Structured Learning for Semantic Role Labeling. Trans. Assoc. Comput. Linguistics 3: 29-41 (2015) - [c23]Nicholas FitzGerald, Oscar Täckström, Kuzman Ganchev, Dipanjan Das:
Semantic Role Labeling with Neural Network Factors. EMNLP 2015: 960-970 - 2014
- [c22]Karl Moritz Hermann, Dipanjan Das, Jason Weston, Kuzman Ganchev:
Semantic Frame Identification with Distributed Word Representations. ACL (1) 2014: 1448-1458 - [i4]João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Ben Taskar:
Controlling Complexity in Part-of-Speech Induction. CoRR abs/1401.6131 (2014) - [i3]Dan Gillick, Nevena Lazic, Kuzman Ganchev, Jesse Kirchner, David Huynh:
Context-Dependent Fine-Grained Entity Type Tagging. CoRR abs/1412.1820 (2014) - 2013
- [c21]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: 92-97 - [c20]Kuzman Ganchev, Dipanjan Das:
Cross-Lingual Discriminative Learning of Sequence Models with Posterior Regularization. EMNLP 2013: 1996-2006 - 2012
- [c19]Kuzman Ganchev, Keith B. Hall, Ryan T. McDonald, Slav Petrov:
Using Search-Logs to Improve Query Tagging. ACL (2) 2012: 238-242 - [i2]Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan:
Censored Exploration and the Dark Pool Problem. CoRR abs/1205.2646 (2012) - [i1]Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar:
Multi-View Learning over Structured and Non-Identical Outputs. CoRR abs/1206.3256 (2012) - 2011
- [j6]João Graça, Kuzman Ganchev, Luísa Coheur, Fernando Pereira, Benjamin Taskar:
Controlling Complexity in Part-of-Speech Induction. J. Artif. Intell. Res. 41: 527-551 (2011) - [j5]Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar:
Posterior Sparsity in Unsupervised Dependency Parsing. J. Mach. Learn. Res. 12: 455-490 (2011) - [c18]Gregory Druck, Kuzman Ganchev, João Graça:
Rich Prior Knowledge in Learning for Natural Language Processing. ACL (Tutorial Abstracts) 2011: 5 - 2010
- [j4]Kuzman Ganchev, Yuriy Nevmyvaka, Michael J. Kearns, Jennifer Wortman Vaughan:
Censored exploration and the dark pool problem. Commun. ACM 53(5): 99-107 (2010) - [j3]João Graça, Kuzman Ganchev, Ben Taskar:
Learning Tractable Word Alignment Models with Complex Constraints. Comput. Linguistics 36(3): 481-504 (2010) - [j2]Kuzman Ganchev, João Graça, Jennifer Gillenwater, Ben Taskar:
Posterior Regularization for Structured Latent Variable Models. J. Mach. Learn. Res. 11: 2001-2049 (2010) - [c17]Jennifer Gillenwater, Kuzman Ganchev, João Graça, Fernando Pereira, Ben Taskar:
Sparsity in Dependency Grammar Induction. ACL (2) 2010: 194-199
2000 – 2009
- 2009
- [j1]João Graça, Kuzman Ganchev, Ben Taskar:
PostCAT - Posterior Constrained Alignment Toolkit. Prague Bull. Math. Linguistics 91: 27-36 (2009) - [c16]Kuzman Ganchev, Jennifer Gillenwater, Ben Taskar:
Dependency Grammar Induction via Bitext Projection Constraints. ACL/IJCNLP 2009: 369-377 - [c15]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: 95-98 - [c14]João Graça, Kuzman Ganchev, Ben Taskar, Fernando C. N. Pereira:
Posterior vs Parameter Sparsity in Latent Variable Models. NIPS 2009: 664-672 - [c13]Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Deyan Peychev, Vassil Momtchev:
A Joint Model for Normalizing Gene and Organism Mentions in Text. BiomedicalIE@RANLP 2009: 14-20 - [c12]Kuzman Ganchev, Georgi Georgiev:
Edlin: an Easy to Read Linear Learning Framework. RANLP 2009: 94-98 - [c11]Georgi Georgiev, Preslav Nakov, Kuzman Ganchev, Petya Osenova, Kiril Ivanov Simov:
Feature-Rich Named Entity Recognition for Bulgarian Using Conditional Random Fields. RANLP 2009: 113-117 - [c10]Kuzman Ganchev, Michael J. Kearns, Yuriy Nevmyvaka, Jennifer Wortman Vaughan:
Censored Exploration and the Dark Pool Problem. UAI 2009: 185-194 - 2008
- [c9]Kuzman Ganchev, João Graça, Ben Taskar:
Better Alignments = Better Translations? ACL 2008: 986-993 - [c8]Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar:
Multi-View Learning over Structured and Non-Identical Outputs. UAI 2008: 88-96 - [c7]Kuzman Ganchev, João Graça, John Blitzer, Ben Taskar:
Multi-View Learning over Structured and Non-Identical Outputs. UAI 2008: 204-211 - 2007
- [c6]Kuzman Ganchev, Fernando Pereira, Mark A. Mandel, Steven Carroll, Peter S. White:
Semi-Automated Named Entity Annotation. LAW@ACL 2007: 53-56 - [c5]Koby Crammer, Mark Dredze, Kuzman Ganchev, Partha Pratim Talukdar, Steven Carroll:
Automatic Code Assignment to Medical Text. BioNLP@ACL 2007: 129-136 - [c4]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: 1051-1055 - [c3]João Graça, Kuzman Ganchev, Ben Taskar:
Expectation Maximization and Posterior Constraints. NIPS 2007: 569-576 - [c2]Kuzman Ganchev, Alex Kulesza, Jinsong Tan, Ryan Gabbard, Qian Liu, Michael J. Kearns:
Empirical Price Modeling for Sponsored Search. WINE 2007: 541-548 - 2003
- [c1]Tia Newhall, Sean Finney, Kuzman Ganchev, Michael Spiegel:
Nswap: A Network Swapping Module for Linux Clusters. Euro-Par 2003: 1160-1169
Coauthor Index
aka: Benjamin Taskar
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