Sciweavers

CVPR
2011
IEEE
13 years 8 months ago
Learning Message-Passing Inference Machines for Structured Prediction
Nearly every structured prediction problem in computer vision requires approximate inference due to large and complex dependencies among output labels. While graphical models prov...
Stephane Ross, Daniel Munoz, J. Andrew Bagnell
EMNLP
2010
13 years 9 months ago
Collective Cross-Document Relation Extraction Without Labelled Data
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
Limin Yao, Sebastian Riedel, Andrew McCallum
NAACL
2010
13 years 10 months ago
Constraint-Driven Rank-Based Learning for Information Extraction
Most learning algorithms for undirected graphical models require complete inference over at least one instance before parameter updates can be made. SampleRank is a rankbased lear...
Sameer Singh, Limin Yao, Sebastian Riedel, Andrew ...
NAACL
2010
13 years 10 months ago
Relaxed Marginal Inference and its Application to Dependency Parsing
Recently, relaxation approaches have been successfully used for MAP inference on NLP problems. In this work we show how to extend the relaxation approach to marginal inference use...
Sebastian Riedel, David A. Smith
EMNLP
2010
13 years 10 months ago
Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective
With the proliferation of user-generated articles over the web, it becomes imperative to develop automated methods that are aware of the ideological-bias implicit in a document co...
Amr Ahmed, Eric P. Xing
EMNLP
2010
13 years 10 months ago
Learning First-Order Horn Clauses from Web Text
Even the entire Web corpus does not explicitly answer all questions, yet inference can uncover many implicit answers. But where do inference rules come from? This paper investigat...
Stefan Schoenmackers, Jesse Davis, Oren Etzioni, D...
ACL
2010
13 years 10 months ago
Generating Entailment Rules from FrameNet
Many NLP tasks need accurate knowledge for semantic inference. To this end, mostly WordNet is utilized. Yet WordNet is limited, especially for inference between predicates. To hel...
Roni Ben Aharon, Idan Szpektor, Ido Dagan
PERCOM
2010
ACM
13 years 10 months ago
Faster Bayesian context inference by using dynamic value ranges
—This paper shows how to reduce evaluation time for context inference. Probabilistic Context Inference has proven to be a good representation of the physical reality with uncerta...
Korbinian Frank, Patrick Robertson, Sergio Fortes ...
PAMI
2010
238views more  PAMI 2010»
13 years 10 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
AMAI
2002
Springer
14 years 5 days ago
An Empirical Test of Patterns for Nonmonotonic Inference
: It is claimed that human inferential apparatus offers interesting ground in order to consider the intuitions of artificial intelligence researchers about the inference patterns a...
Rui Da Silva Neves, Jean-François Bonnefon,...