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Building the Turkish FrameNet

Title	Building the Turkish FrameNet
Author	Marşan, B., Kara, N., Özçelik, M., Arıcan, B. N., Cesur, N., Kuzgun, A., Sanıyar, E., Yıldız, Olcay Taner
Publication Date:	2021
Publication Place	- Global WordNet Association
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-946402731-0
Record ID	e2d06b06-6db8-4b90-a606-568f006bee46
Library Location	Computer Science
Date	2021
Sample Text	FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments. Having uses in many NLP applications, FrameNet has proven itself as a valuable resource. The main goal of this study is laying the foundation for building a comprehensive and cohesive Turkish FrameNet that is compatible with other resources like PropBank (Kara et al., 2020) or WordNet (Bakay et al., 2019; Ehsani, 2018; Ehsani et al., 2018; Parlar et al., 2019; Bakay et al., 2020) in the Turkish language.

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Özyeğin University

Building the Turkish FrameNet

Author Marşan, B., Kara, N., Özçelik, M., Arıcan, B. N., Cesur, N., Kuzgun, A., Sanıyar, E., Yıldız, Olcay Taner

Publication Date 2021

Publication Place - Global WordNet Association

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-946402731-0

Record ID e2d06b06-6db8-4b90-a606-568f006bee46

Library Location Computer Science

Date 2021

Sample Text FrameNet (Lowe, 1997; Baker et al., 1998; Fillmore and Atkins, 1998; Johnson et al., 2001) is a computational lexicography project that aims to offer insight into the semantic relationships between predicate and arguments. Having uses in many NLP applications, FrameNet has proven itself as a valuable resource. The main goal of this study is laying the foundation for building a comprehensive and cohesive Turkish FrameNet that is compatible with other resources like PropBank (Kara et al., 2020) or WordNet (Bakay et al., 2019; Ehsani, 2018; Ehsani et al., 2018; Parlar et al., 2019; Bakay et al., 2020) in the Turkish language.