Search Results for author: Çağrı Çöltekin

Found 12 papers, 2 papers with code

Dialect Identification under Domain Shift: Experiments with Discriminating Romanian and Moldavian

no code implementations VarDial (COLING) 2020 Çağrı Çöltekin

This paper describes a set of experiments for discriminating between two closely related language varieties, Moldavian and Romanian, under a substantial domain shift.

Dialect Identification Position

ROFF - A Romanian Twitter Dataset for Offensive Language

no code implementations RANLP 2021 Mihai Manolescu, Çağrı Çöltekin

This paper describes the annotation process of an offensive language data set for Romanian on social media.

Verification, Reproduction and Replication of NLP Experiments: a Case Study on Parsing Universal Dependencies

no code implementations UDW (COLING) 2020 Çağrı Çöltekin

As in any field of inquiry that depends on experiments, the verifiability of experimental studies is important in computational linguistics.

ParlaMint II: The Show Must Go On

no code implementations ParlaCLARIN (LREC) 2022 Maciej Ogrodniczuk, Petya Osenova, Tomaž Erjavec, Darja Fišer, Nikola Ljubešić, Çağrı Çöltekin, Matyáš Kopp, Meden Katja

In ParlaMint I, a CLARIN-ERIC supported project in pandemic times, a set of comparable and uniformly annotated multilingual corpora for 17 national parliaments were developed and released in 2021.

Emotions Running High? A Synopsis of the state of Turkish Politics through the ParlaMint Corpus

no code implementations ParlaCLARIN (LREC) 2022 Gül M. Kurtoğlu Eskişar, Çağrı Çöltekin

We present the initial results of our quantitative study on emotions (Anger, Disgust, Fear, Happiness, Sadness and Surprise) in Turkish parliament (2011–2021).

What do complexity measures measure? Correlating and validating corpus-based measures of morphological complexity

1 code implementation11 Apr 2022 Çağrı Çöltekin, Taraka Rama

We present an analysis of eight measures used for quantifying morphological complexity of natural languages.

Resources for Turkish Natural Language Processing: A critical survey

no code implementations11 Apr 2022 Çağrı Çöltekin, A. Seza Doğruöz, Özlem Çetinoğlu

This paper presents a comprehensive survey of corpora and lexical resources available for Turkish.

Tübingen-Oslo system: Linear regression works the best at Predicting Current and Future Psychological Health from Childhood Essays in the CLPsych 2018 Shared Task

no code implementations13 Sep 2018 Çağrı Çöltekin, Taraka Rama

We experimented with a number of different models, including recurrent and convolutional networks, Poisson regression, support vector regression, and L1 and L2 regularized linear regression.

regression

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