default search action

combined dblp search
author search
venue search
publication search

ask others

"Recurrent neural network-based models for recognizing requisite and ..."

Truong-Son Nguyen et al. (2018)

> Home

Details and statistics

DOI: 10.1007/S10506-018-9225-1

access: closed

type: Journal Article

metadata version: 2022-10-18

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ail/NguyenNTSS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ail/NguyenNTSS18
Truong-Son Nguyen, Le-Minh Nguyen, Satoshi Tojo, Ken Satoh, Akira Shimazu:
Recurrent neural network-based models for recognizing requisite and effectuation parts in legal texts. Artif. Intell. Law 26(2): 169-199 (2018)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.