%0 Journal Article %1 min_distant_2013 %A Min, Bonan %A Grishman, Ralph %A Wan, Li %A Wang, Chang %A Gondek, David %D 2013 %K relationsextraktion %T Distant supervision for relation extraction with an incomplete knowledge base %U https://cs.nyu.edu/~min/index_files/BonanMin_NAACL2013.pdf %X Distant supervision, heuristically labeling a corpus using a knowledge base, has emerged as a popular choice for training relation extractors. In this paper, we show that a significant number of '' negative '' examples generated by the labeling process are false negatives because the knowledge base is incomplete. Therefore the heuristic for generating negative examples has a serious flaw. Building on a state-of-the-art distantly-supervised extraction algorithm, we proposed an algorithm that learns from only positive and unlabeled labels at the pair-of-entity level. Experimental results demonstrate its advantage over existing algorithms.

@article{min_distant_2013, abstract = {Distant supervision, heuristically labeling a corpus using a knowledge base, has emerged as a popular choice for training relation extractors. In this paper, we show that a significant number of '' negative '' examples generated by the labeling process are false negatives because the knowledge base is incomplete. Therefore the heuristic for generating negative examples has a serious flaw. Building on a state-of-the-art distantly-supervised extraction algorithm, we proposed an algorithm that learns from only positive and unlabeled labels at the pair-of-entity level. Experimental results demonstrate its advantage over existing algorithms.}, added-at = {2018-11-04T17:02:36.000+0100}, author = {Min, Bonan and Grishman, Ralph and Wan, Li and Wang, Chang and Gondek, David}, biburl = {https://www.bibsonomy.org/bibtex/26caab1a936d36677a98f49088a83db4e/lepsky}, interhash = {994244122f646c1f826af09bc023c8c4}, intrahash = {6caab1a936d36677a98f49088a83db4e}, keywords = {relationsextraktion}, timestamp = {2018-11-04T17:02:36.000+0100}, title = {Distant supervision for relation extraction with an incomplete knowledge base}, url = {https://cs.nyu.edu/~min/index_files/BonanMin_NAACL2013.pdf}, year = 2013 }