Sciweavers

Share
4 search results - page 1 / 1
» Weakly Supervised Natural Language Learning Without Redundan...
Sort
View
NAACL
2003
8 years 11 months ago
Weakly Supervised Natural Language Learning Without Redundant Views
We investigate single-view algorithms as an alternative to multi-view algorithms for weakly supervised learning for natural language processing tasks without a natural feature spl...
Vincent Ng, Claire Cardie
AAAI
2015
3 years 6 months ago
Learning to Describe Video with Weak Supervision by Exploiting Negative Sentential Information
Most previous work on video description trains individual parts of speech independently. It is more appealing from a linguistic point of view, for word models for all parts of spe...
Haonan Yu, Jeffrey Mark Siskind
CICLING
2010
Springer
9 years 5 months ago
Multi-view Bootstrapping for Relation Extraction by Exploring Web Features and Linguistic Features
Binary semantic relation extraction from Wikipedia is particularly useful for various NLP and Web applications. Currently frequent pattern miningbased methods and syntactic analysi...
Yulan Yan, Haibo Li, Yutaka Matsuo, Mitsuru Ishizu...
WWW
2007
ACM
9 years 10 months ago
Organizing and searching the world wide web of facts -- step two: harnessing the wisdom of the crowds
As part of a large effort to acquire large repositories of facts from unstructured text on the Web, a seed-based framework for textual information extraction allows for weakly sup...
Marius Pasca
books