Search Results for author: Kemal Oflazer

Found 30 papers, 1 papers with code

Semantic Similarity Based Evaluation for Abstractive News Summarization

1 code implementation ACL (GEM) 2021 Figen Beken Fikri, Kemal Oflazer, Berrin Yanikoglu

To achieve this, we translated the English STSb dataset into Turkish and presented the first semantic textual similarity dataset for Turkish as well.

Abstractive Text Summarization News Summarization +2

Event Coreference Resolution Using Neural Network Classifiers

no code implementations9 Oct 2018 Arun Pandian, Lamana Mulaffer, Kemal Oflazer, Amna AlZeyara

This paper presents a neural network classifier approach to detecting both within- and cross- document event coreference effectively using only event mention based features.

Cross Document Coreference Resolution Event Coreference Resolution +1

Guidelines and Framework for a Large Scale Arabic Diacritized Corpus

no code implementations LREC 2016 Wajdi Zaghouani, Houda Bouamor, Abdelati Hawwari, Mona Diab, Ossama Obeid, Mahmoud Ghoneim, Sawsan Alqahtani, Kemal Oflazer

This paper presents the annotation guidelines developed as part of an effort to create a large scale manually diacritized corpus for various Arabic text genres.

Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation

no code implementations LREC 2016 Wajdi Zaghouani, Nizar Habash, Ossama Obeid, Behrang Mohit, Houda Bouamor, Kemal Oflazer

We present our guidelines and annotation procedure to create a human corrected machine translated post-edited corpus for the Modern Standard Arabic.

Machine Translation Translation

YouDACC: the Youtube Dialectal Arabic Comment Corpus

no code implementations LREC 2014 Ahmed Salama, Houda Bouamor, Behrang Mohit, Kemal Oflazer

This paper presents YOUDACC, an automatically annotated large-scale multi-dialectal Arabic corpus collected from user comments on Youtube videos.

Large Scale Arabic Error Annotation: Guidelines and Framework

no code implementations LREC 2014 Wajdi Zaghouani, Behrang Mohit, Nizar Habash, Ossama Obeid, Nadi Tomeh, Alla Rozovskaya, Noura Farra, Sarah Alkuhlani, Kemal Oflazer

Finally, we present the annotation tool that was developed as part of this project, the annotation pipeline, and the quality of the resulting annotations.

Machine Translation

Annotating and Learning Morphological Segmentation of Egyptian Colloquial Arabic

no code implementations LREC 2012 Emad Mohamed, Behrang Mohit, Kemal Oflazer

Using a per letter classification scheme in which each letter is classified as either a segment boundary or not, and using a memory-based classifier, with only word-internal context, prove effective and achieve a 92{\%} exact match accuracy at the word level.

General Classification Part-Of-Speech Tagging

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