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Deniz Yuret

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Learning to follow navigational instructions
Can, Ozan Arkan and Yuret, Deniz. 2017. International Symposium on Brain and Cognitive Science ( ISBCS2017 ) . Invited talk.

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Relational Symbol Grounding through Affordance Learning: An Overview of the ReGround Project
Antanas, Laura et al. Grounding Language Understanding ( GLU 2017 ) ISCA Satellite Workshop of Interspeech 2017. ( PDF , PPT ) Abstract: Symbol grounding is the problem of associating symbols from
language with a corresponding referent in the environment. T...

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FaceBook'un yapay zeka programı dünyayı ele geçirmeyi düşünmüyor
Son zamanlarda Facebook'un bir yapay zeka çalışması ile ilgili çıkan sansasyonel haberlerin gerçekle pek ilgisi yok: Orijinal çalışma ve program . Facebook blog haberi . Uydurma haber örneği . Bir iki mantıklı cevap: Wired , Gizmodo .

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Parsing with context embeddings
Ömer Kırnap, Berkay Furkan Önder and Deniz Yuret. In Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies , Vancouver, 2017. ( PDF , poster , presentation , related posts ). Abstract. We introduce context e...

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JuliaCon 2017, Berkeley, June 20-24

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Congratulations to the Koç parsing team
Our neural net based dependency parser was number 7 overall out of 33 teams participating in the CoNLL 2017 Shared Task "Multilingual Parsing from Raw Text to Universal Dependencies" in which participating teams had to parse 68 corpora in 50 languages. I w...

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The third deep learning revolution
The first revolution took place 1958-1969. We figured out how to train perceptrons. We proved the perceptron convergence theorem. Interest waned after a book ( Perceptrons ) written by mathematicians. The second revolution took place 1986-1995. We figured o...

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Overfitting, underfitting, regularization, dropout
Here is an IJulia notebook demonstrating overfitting, underfitting, regularization and dropout in Knet for my machine learning class.

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CharNER: Character-Level Named Entity Recognition
Onur Kuru, Ozan Arkan Can and Deniz Yuret. 2016. COLING . Osaka. ( PDF , Presentation ) Abstract We describe and evaluate a character-level tagger for language-independent Named Entity
Recognition (NER). Instead of words, a sentence is represented as a sequ...

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Learning grammatical categories using paradigmatic representations: Substitute words for language acquisition
Mehmet Ali Yatbaz, Volkan Cirik, Aylin Küntay and Deniz Yuret. 2016. COLING . Osaka. ( PDF , Poster ) Abstract Learning word categories is a fundamental task in language acquisition. Previous studies show
that co-occurrence patterns of preceding and followi...
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