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One Size Fits All? A Simple LSTM for Non-literal Token- and Construction-level Classification

Do Dinh, Erik-Lân ; Eger, Steffen ; Gurevych, Iryna (2018):
One Size Fits All? A Simple LSTM for Non-literal Token- and Construction-level Classification.
In: Proceedings of LaTeCH-CLfL 2018, pp. 70-80,
LaTeCH-CLfL 2018, Santa Fe, NM, USA, 25.08.2018, [Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Do Dinh, Erik-Lân ; Eger, Steffen ; Gurevych, Iryna
Title: One Size Fits All? A Simple LSTM for Non-literal Token- and Construction-level Classification
Language: English
Book Title: Proceedings of LaTeCH-CLfL 2018
Uncontrolled Keywords: UKP_a_DLinNLP; UKP_reviewed; CEDIFOR
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Title: LaTeCH-CLfL 2018
Event Location: Santa Fe, NM, USA
Event Dates: 25.08.2018
Date Deposited: 12 Jul 2018 14:29
URL / URN: http://aclweb.org/anthology/W18-4508
PPN:
Projects: CEDIFOR
Funders: German Federal Ministry of Education and Research (BMBF)
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