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G. Ercan, Yildiz, O. T., 2025.
Grammar or Crammer? The Role of Morphology in Distinguishing Orthographically Similar but Semantically Unrelated Words
IEEE Access
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[Code]
[Paper]
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G. Ercan, 2024.
PhD Thesis: Semantic Relation Extraction by Enriching Word Embeddings Exploiting Turkish Morphology
Arıcan, B.N., Kuzgun, A., Marsan, B., Aslan, D.B., Sanıyar, E., Cesur, N., Kara, N., Kuyrukçu, O., Ozçelik, M., Yenice, A.B. and Dogan, M., 2022, June.
Morpholex Turkish: A Morphological Lexicon for Turkish.
In
LREC 2022 Workshop
Language Resources and Evaluation Conference 20-25 June 2022 (p. 68).
[Paper]
Yildiz, O. T., B. Avar, G. Ercan, 2019, September.
An Open, Extendible, and Fast Turkish Morphological Analyzer
Recent Advances in Natural Language Processing (
RANLP 2019
).
[Paper]
[Code]
G. Ercan, Yildiz, O. T., 2018, August.
AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness
The 27th International Conference on Computational Linguistics (
COLING 2018
).
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[Slides]
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Best resource paper
Uludogan, G., Özçelik, R., Parlar, S., Ercan, G. and Yıldız, O.T.,
Türkçe Doğal Dil İşleme İçin Arayüzler.
Signal Processing and Communication Applications Conference, 2019, April
[Paper]
[Code]
G. Ercan, O. Erkek, O. Açıkgöz, R. Özçelik, S. Parlar, O.T. Yıldız.
Türkçe Anlamsal Söylem ve Cümle Benzerliği Analizleri için Veri Kümesi Oluşturma Yöntemi.
In Computer Science and Engineering (UBMK), 2018 International Conference.
[Paper]
Yildiz, O. T., K. Ak, G. Ercan, O. Topsakal, C. Asmazoglu., 2018, April.
A Multilayer Annotated Corpus for Turkish.
International Conference on Natural Language and Speech Processing (ICNLSP).
[Paper]
Ertopçu, B., Kanburoğlu, A.B., Topsakal, O., Açıkgöz, O., Gürkan, A.T., Özenç, B., Çam, İ., Avar, B., Ercan, G. and Yıldız, O.T., 2017, October.
A new approach for named entity recognition.
In Computer Science and Engineering (UBMK), 2017 International Conference on (pp. 474-479). IEEE.
[Paper]
[Slides]
Açıkgöz, O., Gürkan, A.T., Ertopçu, B., Topsakal, O., Özenç, B., Kanburoğlu, A.B., Çam, İ., Avar, B., Ercan, G. and Yıldız, O.T., 2017, October.
All-words word sense disambiguation for Turkish.
In Computer Science and Engineering (UBMK), 2017 International Conference on (pp. 490-495). IEEE.
[Paper]
Topsakal, O., Açıkgöz, O., Gürkan, A.T., Kanburoğlu, A.B., Ertopçu, B., Özenç, B., Çam, İ., Avar, B., Ercan, G. and Yıldız, O.T., 2017, October.
Shallow parsing in Turkish.
In Computer Science and Engineering (UBMK), 2017 International Conference on (pp. 480-485). IEEE.
[Paper]
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Signal Processing and Communications Applications Conference (SIU):
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2019
Artificial Intelligence Review - An International Science and Engineering Journal
(2019)
Gökhan Ercan
See it on X
A pleasure to teach Agentic AI this term at Istanbul Technical University.
We covered 17 agentic patterns: Agentic RAG, ReAct, Memory, Guardrails, multi-agent, Graph-of-Thoughts. Best part: seeing 40 student projects move from "use an LLM" to "design an agent."
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Jun 25, 2026
Gökhan Ercan
See it on X
My latest paper is out in IEEE Access:
📄Grammar or Crammer? The Role of Morphology in Distinguishing Orthographically Similar but Semantically Unrelated Words
A 47-page study on morphology and semantic modeling in English and Turkish.
t.co/gf663FIG5A
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Jun 11, 2025
Gökhan Ercan
See it on X
“As a leader, you’re the force multiplier for your organization. Force multiplying is a vector quantity, not a scalar quantity. It’s a vector quantity because the direction is very important. It’s not just the magnitude. It’s the direction, too.”
t.co/HePyFKJ84S
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Feb 27, 2025
Gökhan Ercan
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Let’s come up with a new name for
#Agile
, create our own backlogs, and start fresh. Keep it secret from the business folks.
t.co/yAulbTeMW2
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Nov 12, 2024
Gökhan Ercan
See it on X
"...I don't think that anybody really thinks that AlphaGo is happy when it wins the game..."
"...We can use a knife to cook and to kill.."
Yuval Noah Harari (Sapiens) versus Yann Le Cun (Meta) on artificial intelligence
t.co/IlgRKDWaNc
via
@LePoint
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May 16, 2023
Gökhan Ercan
See it on X
Even experts cannot predict social changes (e.g., prejudice, violence, individualism, political polarization). They're no better than naive people or basic statistical models. They're more aware of the uncertainty and complexity, though.
t.co/EV95EXZ1gw
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Mar 25, 2023
Gokhan Ercan, 2026