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» A Global Joint Model for Semantic Role Labeling
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EMNLP
2004
15 years 1 months ago
The Influence of Argument Structure on Semantic Role Assignment
We present a data and error analysis for semantic role labelling. In a first experiment, we build a generic statistical model for semantic role assignment in the FrameNet paradigm...
Sebastian Padó, Gemma Boleda
109
Voted
EMNLP
2009
14 years 9 months ago
On the Role of Lexical Features in Sequence Labeling
We use the technique of SVM anchoring to demonstrate that lexical features extracted from a training corpus are not necessary to obtain state of the art results on tasks such as N...
Yoav Goldberg, Michael Elhadad
TMM
2010
270views Management» more  TMM 2010»
14 years 6 months ago
Sequence Multi-Labeling: A Unified Video Annotation Scheme With Spatial and Temporal Context
Abstract--Automatic video annotation is a challenging yet important problem for content-based video indexing and retrieval. In most existing works, annotation is formulated as a mu...
Yuanning Li, YongHong Tian, Ling-Yu Duan, Jingjing...
111
Voted
ICML
2008
IEEE
16 years 14 days ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
105
Voted
EMNLP
2010
14 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