%0 Journal Article %1 journals/ail/NguyenNTSS18 %A Nguyen, Truong-Son %A Nguyen, Le-Minh %A Tojo, Satoshi %A Satoh, Ken %A Shimazu, Akira %D 2018 %J Artif. Intell. Law %K dblp %N 2 %P 169-199 %T Recurrent neural network-based models for recognizing requisite and effectuation parts in legal texts. %U http://dblp.uni-trier.de/db/journals/ail/ail26.html#NguyenNTSS18 %V 26

@article{journals/ail/NguyenNTSS18, added-at = {2022-10-18T00:00:00.000+0200}, author = {Nguyen, Truong-Son and Nguyen, Le-Minh and Tojo, Satoshi and Satoh, Ken and Shimazu, Akira}, biburl = {https://www.bibsonomy.org/bibtex/2bfd6748f1e4e2f1fa0fdc7e328f9515e/dblp}, ee = {https://doi.org/10.1007/s10506-018-9225-1}, interhash = {2cccf5dab211134f58c7150e5f06f647}, intrahash = {bfd6748f1e4e2f1fa0fdc7e328f9515e}, journal = {Artif. Intell. Law}, keywords = {dblp}, number = 2, pages = {169-199}, timestamp = {2024-04-09T05:18:03.000+0200}, title = {Recurrent neural network-based models for recognizing requisite and effectuation parts in legal texts.}, url = {http://dblp.uni-trier.de/db/journals/ail/ail26.html#NguyenNTSS18}, volume = 26, year = 2018 }