Gideon S. Mann

发表

A Statistical Method for Short Answer Extraction

Gideon S. Mann, 2001, ACL 2001.

Diagnosing Latency in Multi-Tier Black-Box Services

Gideon S. Mann, Mark Sandler, Krzysztof Ostrowski, 2011 .

Penn/Umass/CHOP Biocreative II systems

Koby Crammer, Yang Jin, Gideon S. Mann, 2007 .

Generalized Expectation Criteria for Semi-Supervised Learning of Conditional Random Fields

Gideon S. Mann, Andrew McCallum, A. McCallum, 2008, ACL.

Learning How to Answer Questions Using Trivia Games

Gideon S. Mann, 2002, COLING.

Bootstrapping toponym classifiers

Gideon S. Mann, David A. Smith, 2003, HLT-NAACL 2003.

Leveraging Existing Resources using Generalized Expectation Criteria

Gideon S. Mann, Andrew McCallum, Gregory Druck, 2007 .

YouTube Scale, Large Vocabulary Video Annotation

Christopher Joseph Pal, Gideon S. Mann, Nicholas Morsillo, 2010, Video Search and Mining.

Reducing Annotation Effort Using Generalized Expectation Criteria

Gideon S. Mann, Andrew McCallum, Gregory Druck, 2007 .

Looking Under the Hood : Tools for Diagnosing your Question Answering Engine

Mats Rooth, Gideon S. Mann, Ellen Riloff, 2001, ACL 2001.

Multi-Field Information Extraction and Cross-Document Fusion

David Yarowsky, Gideon S. Mann, 2005, ACL.

Efficient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields

Gideon S. Mann, Andrew McCallum, A. McCallum, 2007, NAACL.

Multipath Translation Lexicon Induction via Bridge Languages

David Yarowsky, Gideon S. Mann, David Yarowsky, 2001, NAACL.

Generalized Expectation Criteria for Semi-Supervised Learning with Weakly Labeled Data

Gideon S. Mann, Andrew McCallum, A. McCallum, 2010, J. Mach. Learn. Res..

Fine-Grained Proper Noun Ontologies for Question Answering

Gideon S. Mann, 2002, COLING 2002.

Semi-supervised Learning of Dependency Parsers using Generalized Expectation Criteria

Gideon S. Mann, Andrew McCallum, Gregory Druck, 2009, ACL/IJCNLP.

Bibliometric impact measures leveraging topic analysis

Gideon S. Mann, Andrew McCallum, David Mimno, 2006, Proceedings of the 6th ACM/IEEE-CS Joint Conference on Digital Libraries (JCDL '06).

Analyses for elucidating current question answering technology

Gideon S. Mann, Ellen Riloff, Marc Light, 2001, Natural Language Engineering.

Multi-document statistical fact extraction and fusion

David Yarowsky, Gideon S. Mann, David Yarowsky, 2006 .

MapReduce/Bigtable for Distributed Optimization

Gideon S. Mann, Keith B. Hall, Keith Hall, 2010 .

Learning from labeled features using generalized expectation criteria

Gideon S. Mann, Andrew McCallum, Gregory Druck, 2008, SIGIR '08.

Unsupervised Personal Name Disambiguation

David Yarowsky, Gideon S. Mann, David Yarowsky, 2003, CoNLL.

Fun with Reading Comprehension

Mats Rooth, Gideon S. Mann, Marc Light, 2000 .

Reverse-Engineering Question/Answer Collections From Ordinary Text

Gideon S. Mann, Ellen Riloff, William Phillips, 2008 .

Simple, robust, scalable semi-supervised learning via expectation regularization

Gideon S. Mann, Andrew McCallum, A. McCallum, 2007, ICML '07.

Multi-Document Relationship Fusion via Constraints on Probabilistic Databases

Gideon S. Mann, 2007, NAACL.

Restricted Transfer learning for Text Categorization

Gideon S. Mann, Rajhans Samdani, 2013 .

Distributed Training Strategies for the Structured Perceptron

Gideon S. Mann, Keith B. Hall, Ryan T. McDonald, 2010, NAACL.

Efficient Large-Scale Distributed Training of Conditional Maximum Entropy Models

Gideon S. Mann, Mehryar Mohri, Nathan Silberman, 2009, NIPS.

Putting Semantic Information Extraction on the Map : Noisy Label Models for Fact Extraction

Gideon S. Mann, Chris Pal, Richard Minerich, 2007 .

Generalized Expectation Criteria

Gideon S. Mann, A. McCallum, Gregory Druck, 2007 .

Modeling Human Sentence Processing Data with a Statistical Parts-of-speech Tagger On2l – a Framework for Incremental Ontology Learning in Spoken Dialog Systems Organizers Co-chairs: Workshop Program Unsupervised Part-of-speech Tagging Employing Efficient Graph Clustering Annotation Schemes and Their

Gideon S. Mann, Eric K. Ringger, Ryan T. McDonald, 2006 .

Efficient Transfer Learning Method for Automatic Hyperparameter Tuning

Gideon S. Mann, Dani Yogatama, Gideon Mann, 2014, AISTATS.

Efﬁcient Computation of Entropy Gradient for Semi-Supervised Conditional Random Fields

Gideon S. Mann, A. McCallum, 2019 .

Simple, robust, scalable semi-supervised learning via expectation regularization

Gideon S. Mann, A. McCallum, 2007, ICML '07.