Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
Automatic identification of pronominal anaphora in Turkish texts
Date
2007-11-09
Author
Kucuk, Dilek
Yondem, Meltem Turhan
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
1
views
0
downloads
Anaphora identification is an important problem especially for its impact on anaphora and coreference resolution systems. In this paper, a system that automatically identifies anaphoric pronouns in Turkish is presented. The proposed system takes a decision tree learning approach, that of Quinlan's C 4.5, where a corpus examination is carried out to determine linguistic features specific to Turkish which are to be used by the decision tree learner. The proposed system is significant especially for its ease of incorporation into any anaphora resolution system for Turkish. The system is evaluated on two different Turkish text samples and its performance on these samples is close to that of human identification.
Subject Keywords
Decision trees
,
Usability
,
Data preprocessing
,
Machine learning
,
Natural languages
,
Information retrieval
,
Natural language processing
,
Humans
URI
https://hdl.handle.net/11511/64506
DOI
https://doi.org/10.1109/iscis.2007.4456858
Collections
Department of Computer Engineering, Conference / Seminar