%0 Conference Paper %1 elsahar2017unsupervised %A Elsahar, Hady %A Demidova, Elena %A Gottschalk, Simon %A Gravier, Christophe %A Laforest, Frederique %B Proceedings of the ESWC 2017 Satellite Events %D 2017 %I Springer %K alexandria data4urbanmobility gottschalk myown wdaqua %R 10.1007/978-3-319-70407-4_3 %T Unsupervised Open Relation Extraction %V Lecture Notes in Computer Science (LNCS), vol 10577. %X We explore methods to extract relations between named entities from free text in an unsupervised setting. In addition to standard feature extraction, we develop a novel method to re-weight word embeddings. We alleviate the problem of features sparsity using an individual feature reduction. Our approach exhibits a significant improvement by 5.8% over the state-of-the-art relation clustering scoring a F1-score of 0.416 on the NYT-FB dataset.

@inproceedings{elsahar2017unsupervised, abstract = {We explore methods to extract relations between named entities from free text in an unsupervised setting. In addition to standard feature extraction, we develop a novel method to re-weight word embeddings. We alleviate the problem of features sparsity using an individual feature reduction. Our approach exhibits a significant improvement by 5.8% over the state-of-the-art relation clustering scoring a F1-score of 0.416 on the NYT-FB dataset.}, added-at = {2017-05-21T10:23:19.000+0200}, author = {Elsahar, Hady and Demidova, Elena and Gottschalk, Simon and Gravier, Christophe and Laforest, Frederique}, biburl = {https://www.bibsonomy.org/bibtex/20af38519561d89a93971f8ecb8938c7f/demidova}, booktitle = {Proceedings of the ESWC 2017 Satellite Events}, doi = {10.1007/978-3-319-70407-4_3}, interhash = {84347f4d1dbaa3cbb4649be7c8355922}, intrahash = {0af38519561d89a93971f8ecb8938c7f}, keywords = {alexandria data4urbanmobility gottschalk myown wdaqua}, publisher = {Springer}, timestamp = {2018-10-23T09:52:15.000+0200}, title = {Unsupervised Open Relation Extraction}, volume = {Lecture Notes in Computer Science (LNCS), vol 10577.}, year = 2017 }