Proposition Bank II: Delving Deeper

The state of the oceans, part 2: Delving deeper into the sea's bounty.

A Parallel Proposition Bank II For Chinese And English

The Proposition Bank (PropBank) project is aimed at creating a corpus of text annotated with information about semantic propositions. The second phase of the project, PropBank II adds additional levels of semantic annotation which include eventuality variables, co-reference, coarse-grained sense tags, and discourse connectives. This paper presents the results of the parallel PropBank II project...

Automatic Semantic Role Labeling for Chinese Verbs

Recent years have seen a revived interst in semantic parsing by applying statistical and machinelearning methods to semantically annotated corpora such as the FrameNet and the Proposition Bank. So far much of the research has been focused on English due to the lack of semantically annotated resources in other languages. In this paper, we report first results on semantic role labeling using a pr...

Improving Chinese Semantic Role Labeling with English Proposition Bank

Most researches to SRL focus on English. It is still a challenge to improve the SRL performance of other language. In this paper, we introduce a twopass approach to do Chinese SRL with a Recurrent Neural Network (RNN) model. We use English Proposition Bank (EPB) to improve the performance of Chinese SRL. Experimental result shows a significant improvement over the stateof-the-art methods on Chi...

Radical Embedding: Delving Deeper to Chinese Radicals

Languages using Chinese characters are mostly processed at word level. Inspired by recent success of deep learning, we delve deeper to character and radical levels for Chinese language processing. We propose a new deep learning technique, called “radical embedding”, with justifications based on Chinese linguistics, and validate its feasibility and utility through a set of three experiments: two...