matt cabgormley 10601 教得怎么样

Matt Gormley | Home
Research Interests
Natural language processing: grammar induction,
dependency parsing, semantic parsing, knowledge base population,
coreference resolution, topic modeling, computational semantics.
Machine learning: approximate inference, unsupervised
learning, decomposition techniques, nonparametrics, global
optimization, low-resource learning,
approximation-aware learning.
Jan. 2016 - I joined the faculty of the
Sep. 2015 - I successfully defended my thesis, "Graphical Models with Structured Factors, Neural Factors, and Approximation-Aware Training"
Jul. 2015 - Our
was accepted -- the model we introduce obtains state-of-the-art results on relation extraction and nearly matches the best systems on relation classification.
Mar. 2015 - We had a
accepted on approximation-aware learning for structured belief propagation.
Feb. 2015 - Our
on fine-grained relation extraction was accepted to NAACL 2015.
Feb. 2015 - Our
was accepted for re-presentation at ACL 2015 in Beijing, China.
Dec. 2014 - I was invited to present a breakout session at
Dec. 2014 -
will be presented at NIPS workshops (AKBC and Learning Semantics).
Sep. 2014 - I received the
academic year.
Jun. 2014 - The
for our tutorial on Structured Belief Propagation for NLP are up.
Jun. 2014 - Check out my , with pre-releases of Pacaya, Prim, and Optimize!
Matthew R. Gormley, Jason Eisner.
2015. Beijing, China.
2014. Baltimore, MD.
Semantic Proto-Role Labeling.
Adam Teichert, Adam Poliak, Benjamin Van Durme, Matthew R. Gormley.
AAAI. 2017.
@inproceedings{teichart_semantic_2017,
author = {Adam Teichert and Adam Poliak and Benjamin Van Durme and Matthew R. Gormley},
title = {Semantic Proto-Role Labeling},
booktitle = {Proceedings of {AAAI} Conference on Artificial Intelligence},
year = {2017},
url = {http://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14997}
Embedding Lexical Features via Low-rank Tensors.
Mo Yu, Mark Dredze, Raman Arora, Matthew R. Gormley.
NAACL. 2016.
@inproceedings{yu_embedding_2016,
author = {Mo Yu and Mark Dredze and Raman Arora and Matthew R. Gormley},
title = {Embedding Lexical Features via Low-rank Tensors},
booktitle = {Proceedings of {NAACL}},
year = {2016},
Graphical Models with Structured Factors, Neural Factors, and Approximation-Aware Training.
Matthew R. Gormley.
Ph.D. Thesis. Johns Hopkins University. 2015.
@thesis{gormley_graphical_2015,
location = {Baltimore, {MD}},
title = {Graphical Models with Structured Factors, Neural Factors, and Approximation-Aware Training},
institution = {Johns Hopkins University},
type = {phdthesis},
author = {Gormley, Matthew R.},
date = {2015}
Improved Relation Extraction with Feature-rich Compositional Embedding Models.
Matthew R. Gormley*, Mo Yu*, Mark Dredze.
(*The first two authors contributed equally.)
EMNLP. 2015.
There is a mistake in our description of the ACE 2005 dataset. Section 6.1 states that the number of relations in the training set (bn+nw) with all pairs was 43,518, but the actual number was 43,497. Likewise, Appendix A states the number was 35,990 for the Plank & Moschitti (2013) setting, but the actual number was 34,669. Thanks to Thien Nguyen for helping us to find the error.
@inproceedings{gormley_improved_2015,
author = {Matthew R. Gormley and Mo Yu and Mark Dredze},
title = {Improved Relation Extraction with Feature-rich Compositional Embedding Model},
booktitle = {Proceedings of {EMNLP}},
year = {2015},
Approximation-Aware Dependency Parsing by Belief Propagation.
Matthew R. Gormley, Mark Dredze, and Jason Eisner.
TACL. 2015.
@article{gormley_approximation-aware_2015,
author = {Matthew R. Gormley and Mark Dredze and Jason Eisner},
title = {Approximation-aware Dependency Parsing by Belief Propagation},
journal = {Transactions of the Association for Computational Linguistics (TACL)},
year = {2015}
A Concrete Chinese NLP Pipeline.
Nanyun Peng, Francis Ferraro, Mo Yu, Nicholas Andrews, Jay DeYoung, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, Benjamin Van Durme, and Mark Dredze.
NAACL Demonstration Session. 2015.
@inproceedings{peng_concrete_2015,
author = {Nanyun Peng and Francis Ferraro and Mo Yu and Nicholas Andrews and Jay DeYoung and Max Thomas and Matthew R. Gormley and Travis Wolfe and Craig Harman and Benjamin Van Durme and Mark Dredze},
title = {A {Concrete} {Chinese} {NLP} Pipeline},
booktitle = {Proceedings of the {NAACL} Demonstration Session},
year = {2015}
Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction.
Mo Yu, Matthew R. Gormley, and Mark Dredze.
NAACL. 2015.
@inproceedings{yu_combining_2015,
author = {Yu, Mo and Gormley, Matthew R. and Dredze, Mark},
title = {Combining Word Embeddings and Feature Embeddings for Fine-grained Relation Extraction},
booktitle = {Proceedings of {NAACL}},
year = {2015}
Factor-based Compositional Embedding Models.
Mo Yu, Matthew R. Gormley, and Mark Dredze.
The NIPS 2014 Learning Semantics Workshop. 2014.
@inproceedings{yu_factor-based_2014,
author = {Yu, Mo and Gormley, Matthew R. and Dredze, Mark},
title = {Factor-based Compositional Embedding Models},
booktitle = {The {NIPS} 2014 Learning Semantics Workshop},
month = {December},
year = {2014}
Concretely Annotated Corpora.
Francis Ferraro, Max Thomas, Matthew R. Gormley, Travis Wolfe, Craig Harman, and Benjamin Van Durme.
The NIPS 2014 AKBC Workshop. 2014.
@inproceedings{ferraro_concretely_2014,
author = {Ferraro, Francis and Thomas, Max and Gormley, Matthew R. and Wolfe, Travis and Harman, Craig and Van Durme, Benjamin},
title = {Concretely Annotated Corpora},
booktitle = {The {NIPS} 2014 {AKBC} Workshop},
month = {December},
year = {2014}
Low-Resource Semantic Role Labeling.
Matthew R. Gormley, Margaret Mitchell, Benjamin Van Durme, Mark Dredze.
ACL. 2014.
@InProceedings{gormley_low-resource_2014,
= {Gormley, Matthew R. and Mitchell, Margaret and {Van Durme}, Benjamin and Dredze, Mark},
= {Low-Resource Semantic Role Labeling},
booktitle = {Proceedings of {ACL}},
Nonconvex Global Optimization for Latent-Variable Models.
Matthew R. Gormley, Jason Eisner.
ACL. 2013.
@InProceedings{gormley_nonconvex_2013,
= {Gormley, Matthew R. and Eisner, Jason},
= {Nonconvex Global Optimization for Latent-Variable Models},
booktitle = {Proceedings of {ACL}},
= {August},
Topic Models and Metadata for Visualizing Text Corpora.
Justin Snyder, Rebecca Knowles, Mark Dredze, Matthew R. Gormley, Travis Wolfe.
NAACL Demonstration Session. 2013.
@InProceedings{snyder_topic_2013,
= {Snyder, Justin
Knowles, Rebecca
Dredze, Mark
Gormley, Matthew
Wolfe, Travis},
= {Topic Models and Metadata for Visualizing Text Corpora},
booktitle = {Proceedings of the 2013 {NAACL} {HLT} Demonstration Session},
Shared Components Topic Models.
Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner.
NAACL. 2012.
@InProceedings{gormley_shared_2012,
= {Gormley, Matthew R.
and Dredze, Mark and {Van Durme}, Benjamin and Eisner, Jason},
= {Shared Components Topic Models},
booktitle = {Proceedings of {NAACL}},
Annotated Gigaword.
Courtney Napoles, Matthew Gormley, Benjamin Van Durme.
AKBC-WEKEX workshop at NAACL. 2012.
@InProceedings{napoles_annotated_2012,
= {Napoles, Courtney and Gormley, Matthew and {Van Durme}, Benjamin},
= {Annotated Gigaword},
booktitle = {{AKBC-WEKEX} Workshop at {NAACL} 2012},
Entity Clustering Across Languages.
Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning.
NAACL. 2012.
@InProceedings{green_entity_2012,
= {Spence Green and Nicholas Andrews and Matthew R. Gormley and Mark Dredze and Christopher D. Manning},
= {Entity Clustering Across Languages},
= {Proceedings of {NAACL}},
Shared Components Topic Models with Application to Selectional Preference.
Matthew R. Gormley, Mark Dredze, Benjamin Van Durme, Jason Eisner.
Learning Semantics Workshop at NIPS. 2011.
@InProceedings{gormley_shared_2011,
= {Gormley, Matthew R.
and Dredze, Mark and {Van Durme}, Benjamin and Eisner, Jason},
= {Shared Components Topic Models with Application to Selectional Preference},
booktitle = {Proceedings of Learning Semantics Workshop at {NIPS} 2011},
= {December},
Cross-lingual Coreference Resolution: A New Task for Multilingual Comparable Corpora.
Spence Green, Nicholas Andrews, Matthew R. Gormley, Mark Dredze, Christopher D. Manning.
Technical Report 6. HLTCOE, Johns Hopkins University. 2011.
@techreport{green_cross-lingual_2011,
= {Spence Green and Nicholas Andrews and Matthew R. Gormley and Mark Dredze and Christopher D. Manning},
= {Cross-lingual Coreference Resolution: A New Task for Multilingual Comparable Corpora},
institution = {{HLTCOE}, Johns Hopkins University},
Non-Expert Correction of Automatically Generated Relation Annotations.
Matthew R. Gormley, Adam Gerber, Mary Harper, Mark Dredze.
Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk. 2010.
@InProceedings{gormley_non-expert_2010,
= {Gormley, Matthew R.
Gerber, Adam
Harper, Mary
Dredze, Mark},
= {Non-Expert Correction of Automatically Generated Relation Annotations},
booktitle = {Proceedings of the {NAACL} {HLT} 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk},
= {Los Angeles},
publisher = {Association for Computational Linguistics},
= {204--207},
= {http://www.aclweb.org/anthology/W10-0732}
Carnegie Mellon University
Summer 2017:
- Machine Learning
Spring 2017: .
Fall 2016: , co-taught with .
Fall 2016: , co-taught with .
Spring 2016: , co-taught with .
Johns Hopkins University
Spring 2014:
, guest-lectures on HMMs/CRFs/loopy belief propagation.
Spring 6 Machine Learning in Complex Domains (Graphical Models), TA.
Spring 2012: , co-instructor.
Fall : , guest-lecture on topic modeling.
Reviewer (Natural Language Processing):
Reviewer (Machine Learning):
Entertainment Chair, .
Organizing committee member,
(North American Computational Linguistics Olympiad), .
Ph.D. in Computer Science, Johns Hopkins University, 2009 - 2015.
Advisers: ,
M.S.E. in Computer Science, Johns Hopkins University, 2009 - 2011.
B.S. in Computer Science with a double major in Cognitive Science, Carnegie Mellon University, 2003 - 2006.
Work Experience
Postdoctoral Researcher, Human Language Technology Center of Excellence, Fall 2015.
Google, Software Engineering Intern, Summer 2012.
Endeca Technologies, Software developer, .
Microsoft's Speech and Natural Language Group, Intern, Summer 2006.
Scone Knowledge Base Group at CMU, Research assistant for , .

我要回帖

更多关于 matt hughes 的文章

 

随机推荐