ACE Corpus

We extend previous work on tree kernels to estimate the similarity between the dependency trees of sen- tences. Using this kernel within a Support Vector Machine, we detect and classify …...

Extracting semantic relationships between en- tities is challenging. This paper investigates the incorporation of diverse lexical, syntactic and semantic knowledge in feature-based rela- tion extraction using SVM. Our study illus- …...

. This paper studies the problem of mining relational data hidden in natural language text. In particular, it approaches the relation classification problem with the strategy of transductive learning. Dif- …...

This paper proposes a novel composite ker- nel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related features and a convolution …...

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- …...

This paper investigates two strategies for im- proving coreference resolution: (1) training separate models that specialize in particu- lar types of mentions (e.g., pronouns versus proper nouns) and (2) using …...