Graph-Based Semi-Supervised Learning

Shortage of manually labeled data is an obstacle to supervised relation extraction methods. In this paper we investigate a graph based semi-supervised learning al- gorithm, a label propagation (LP) algo- …...

Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natu- ral language processing. All graph-based algorithms rely on a graph that jointly rep- resents …...

We propose a new graph-based semi- supervised learning (SSL) algorithm and demonstrate its application to document categorization. Each document is represented by a vertex within a weighted undirected graph and …...

Current phrase-based statistical machine translation systems process each test sentence in isolation and do not enforce global consis- tency constraints, even though the test data is often internally consistent with …...

We describe a new approach to disambiguat- ing semantic frames evoked by lexical predi- cates previously unseen in a lexicon or anno- tated data. Our approach makes use of large …...

We propose the weakly supervised Multi- Experts Model (MEM) for analyzing the se- mantic orientation of opinions expressed in natural language reviews. In contrast to most prior work, MEM predicts …...

We present novel methods to construct com- pact natural language lexicons within a graph- based semi-supervised learning framework, an attractive platform suited for propagating soft labels onto new natural language …...

This paper presents a novel method using graph-based semi-supervised learning (SSL) to improve the syntax parsing of unknown words. Different from conventional approaches that uses hand-crafted rules, rich morphological features, …...

AbstractMorpho-syntactic lexicons provide information about the morphological and syntactic roles of words in a language. Such lexicons are not available for all languages and even when available, their coverage can …...

AbstractSemantic parsers critically rely on accurate and high-coverage lexicons. However, traditional semantic parsers usually utilize annotated logical forms to learn the lexicon, which often suffer from the lexicon coverage problem. …...