Search Results for author: Olcay Taner Yildiz

Found 13 papers, 1 papers with code

From Constituency to UD-Style Dependency: Building the First Conversion Tool of Turkish

no code implementations RANLP 2021 Aslı Kuzgun, Oğuz Kerem Yıldız, Neslihan Cesur, Büşra Marşan, Arife Betül Yenice, Ezgi Sanıyar, Oguzhan Kuyrukçu, Bilge Nas Arıcan, Olcay Taner Yildiz

Within the scope of this project, these Turkish phrase structure trees were automatically converted into UD-style dependency structures, using both a rule-based algorithm and a machine learning algorithm specific to the requirements of the Turkish language.

BIG-bench Machine Learning

English-Turkish Parallel Semantic Annotation of Penn-Treebank

no code implementations GWC 2019 Bilge Nas Arıcan, Özge Bakay, Begüm Avar, Olcay Taner Yildiz, Özlem Ergelen

This paper reports our efforts in constructing a sense-labeled English-Turkish parallel corpus using the traditional method of manual tagging.

Comparing Sense Categorization Between English PropBank and English WordNet

no code implementations GWC 2019 Özge Bakay, Begüm Avar, Olcay Taner Yildiz

Given the fact that verbs play a crucial role in language comprehension, this paper presents a study which compares the verb senses in English PropBank with the ones in English WordNet through manual tagging.

Building the Turkish FrameNet

no code implementations EACL (GWC) 2021 Büşra Marşan, Neslihan Kara, Merve Özçelik, Bilge Nas Arıcan, Neslihan Cesur, Aslı Kuzgun, Ezgi Sanıyar, Oğuzhan Kuyrukçu, Olcay Taner Yildiz

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.

Creating Domain Dependent Turkish WordNet and SentiNet

no code implementations EACL (GWC) 2021 Bilge Nas Arıcan, Merve Özçelik, Deniz Baran Aslan, Elif Sarmış, Selen Parlar, Olcay Taner Yildiz

In the sentiment analysis we did with the data we received on the Tourism WordNet, we performed a domain-specific sentiment analysis study by annotating the data.

LEMMA Sentiment Analysis

WordNet and Wikipedia Connection in Turkish WordNet KeNet

no code implementations gwll (LREC) 2022 Merve Doğan, Ceren Oksal, Arife Betül Yenice, Fatih Beyhan, Reyyan Yeniterzi, Olcay Taner Yildiz

This paper aims to present WordNet and Wikipedia connection by linking synsets from Turkish WordNet KeNet with Wikipedia and thus, provide a better machine-readable dictionary to create an NLP model with rich data.

Multivariate Comparison of Classification Algorithms

no code implementations16 Sep 2014 Olcay Taner Yildiz, Ethem Alpaydin

For example, error is the sum of false positives and false negatives and a univariate test on error cannot make a distinction between these two sources, but a 2-variate test can.

Classification General Classification +1

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