Paper: Joint Entity and Relation Extraction Using Card-Pyramid Parsing

ACL ID W10-2924
Title Joint Entity and Relation Extraction Using Card-Pyramid Parsing
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2010
Authors

Both entity and relation extraction can benefit from being performed jointly, al- lowing each task to correct the errors of the other. We present a new method for joint entity and relation extraction using a graph we call a “card-pyramid.” This graph compactly encodes all possible en- tities and relations in a sentence, reducing the task of their joint extraction to jointly labeling its nodes. We give an efficient la- beling algorithm that is analogous to pars- ing using dynamic programming. Exper- imental results show improved results for our joint extraction method compared to a pipelined approach.