Hierarchical learning strategy in semantic relation extraction

, , , und . Information Process Managegement 44 (3): 1008--1021 (2008)


This paper proposes a novel tree kernel-based method with rich syntactic and semantic information for the extraction of semantic relations between named entities. With a parse tree and an entity pair, we first construct a rich semantic relation tree structure to integrate both syntactic and semantic information. And then we propose a context-sensitive convolution tree kernel, which enumerates both context-free and context-sensitive sub-trees by considering the paths of their ancestor nodes as their contexts to capture structural information in the tree structure. An evaluation on the Automatic Content Extraction/Relation Detection and Characterization (ACE RDC) corpora shows that the proposed tree kernelbased method outperforms other state-of-the-art methods.

Links und Ressourcen

Suchen auf:

Kommentare und Rezensionen  

Es gibt bisher keine Rezension oder Kommentar. Sie können eine schreiben!


Zitieren Sie diese Publikation