Ruket Çakıcı

Also published as: Ruken Cakici, Ruken Çakıcı, Ruket Cakici


Noisy Uyghur Text Normalization
Osman Tursun | Ruket Cakici
Proceedings of the 3rd Workshop on Noisy User-generated Text

Uyghur is the second largest and most actively used social media language in China. However, a non-negligible part of Uyghur text appearing in social media is unsystematically written with the Latin alphabet, and it continues to increase in size. Uyghur text in this format is incomprehensible and ambiguous even to native Uyghur speakers. In addition, Uyghur texts in this form lack the potential for any kind of advancement for the NLP tasks related to the Uyghur language. Restoring and preventing noisy Uyghur text written with unsystematic Latin alphabets will be essential to the protection of Uyghur language and improving the accuracy of Uyghur NLP tasks. To this purpose, in this work we propose and compare the noisy channel model and the neural encoder-decoder model as normalizing methods.

Initial Explorations of CCG Supertagging for Universal Dependency Parsing
Burak Kerim Akkus | Heval Azizoglu | Ruket Cakici
Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

In this paper we describe the system by METU team for universal dependency parsing of multilingual text. We use a neural network-based dependency parser that has a greedy transition approach to dependency parsing. CCG supertags contain rich structural information that proves useful in certain NLP tasks. We experiment with CCG supertags as additional features in our experiments. The neural network parser is trained together with dependencies and simplified CCG tags as well as other features provided.


A Distributed Representation Based Query Expansion Approach for Image Captioning
Semih Yagcioglu | Erkut Erdem | Aykut Erdem | Ruket Cakici
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)


Effect of Using Regression on Class Confidence Scores in Sentiment Analysis of Twitter Data
Itir Onal | Ali Mert Ertugrul | Ruken Cakici
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis


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Categorization of Turkish News Documents with Morphological Analysis
Burak Kerim Akkuş | Ruket Cakici
51st Annual Meeting of the Association for Computational Linguistics Proceedings of the Student Research Workshop


METU Turkish Discourse Bank Browser
Utku Şirin | Ruket Çakıcı | Deniz Zeyrek
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

In this paper, the METU Turkish Discourse Bank Browser, a tool developed for browsing the annotated annotated discourse relations in Middle East Technical University (METU) Turkish Discourse Bank (TDB) project is presented. The tool provides both a clear interface for browsing the annotated corpus and a wide range of search options to analyze the annotations.

Morpheme Segmentation in the METU-Sabancı Turkish Treebank
Ruket Cakici
Proceedings of the Sixth Linguistic Annotation Workshop


Annotating Subordinators in the Turkish Discourse Bank
Deniz Zeyrek | Umit Deniz Turan | Cem Bozsahin | Ruket Cakici | Ayisigi B. Sevdik-Calli | Isin Demirsahin | Berfin Aktas | İhsan Yalcinkaya | Hale Ogel
Proceedings of the Third Linguistic Annotation Workshop (LAW III)


Multi-lingual Dependency Parsing with Incremental Integer Linear Programming
Sebastian Riedel | Ruket Çakıcı | Ivan Meza-Ruiz
Proceedings of the Tenth Conference on Computational Natural Language Learning (CoNLL-X)


Automatic Induction of a CCG Grammar for Turkish
Ruken Çakıcı
Proceedings of the ACL Student Research Workshop