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Analysis of link grammar on biomedical dependency corpus targeted at protein-protein interactions
2004
Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications - JNLPBA '04
unpublished
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In this paper, we present an evaluation of the Link Grammar parser on a corpus consisting of sentences describing protein-protein interactions. We introduce the notion of an interaction subgraph, which is the subgraph of a dependency graph expressing a protein-protein interaction. We measure the performance of the parser for recovery of dependencies, fully correct linkages and interaction subgraphs. We analyze the causes of parser failure and report specific causes of error, and identify
doi:10.3115/1567594.1567598
fatcat:4ga2puq7nvfopgznthphurnwdi