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Publications
Külçe, A., Esen, A., Fikir, Ç., Kurt, B., Arar, K., Ercan, G. and Tek, F.B., 2026.
ECHO: A Locally-Deployable Agentic Health Assistant with Temporal Memory, Safety Guardrails, and Speech Assessment
arXiv preprint arXiv:2608.06110
[Paper]
[DOI]
Ercan, G. and Yıldız, O.T., 2025.
Grammar or Crammer? The Role of Morphology in Distinguishing Orthographically Similar but Semantically Unrelated Words
IEEE Access
[Data]
[Code]
[Paper]
[Details]
Top Journal
Ercan, G., 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., Dogan, M., Oksal, C., Ercan, G. and Yıldız, O.T., 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]
Yıldız, O.T., Avar, B. and Ercan, G., 2019, September.
An Open, Extendible, and Fast Turkish Morphological Analyzer
Recent Advances in Natural Language Processing (
RANLP 2019
).
[Paper]
[Code]
Ercan, G. and Yıldız, O.T., 2018, August.
AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and Relatedness
The 27th International Conference on Computational Linguistics (
COLING 2018
).
[Paper]
[Code]
[Data]
[Slides]
Top Conference
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]
Ercan, G., Erkek, O., Açıkgöz, O., Özçelik, R., Parlar, S. and Yıldız, O.T., 2018.
Türkçe Anlamsal Söylem ve Cümle Benzerliği Analizleri için Veri Kümesi Oluşturma Yöntemi.
In Computer Science and Engineering (UBMK), 2018 International Conference.
[Paper]
Yıldız, O.T., Ak, K., Ercan, G., Topsakal, O. and Asmazoglu, C., 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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International Conference on Computer Science and Engineering (UBMK): 2026
Artificial Intelligence Review - An International Science and Engineering Journal
(2019)
Gökhan Ercan
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The best programmers today will be the next generation of product managers.
Companies should stop this non-technical “Product Owner + Scrum Master” nonsense and start empowering their strongest engineers to own, prioritize, and deliver the backlog.
t.co/qGDM3zBUaQ
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Oct 3, 2026
Gökhan Ercan
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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
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RT @:
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Dec 12, 2025
Gökhan Ercan
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RT
@ealpaydin
: "Scientists undertake basic research to generate new knowledge with no specific end goal in mind. Applied research is different in that it aims to find solutions to real-world problems."
t.co/3zQAg87EUy
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Oct 5, 2025
Gökhan Ercan
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RT
@rohanpaul_ai
: "Hallucinations need not be mysterious—they originate simply as errors in binary classification.
If incorrect statements cannot be distinguished from facts, then hallucinations in pretrained language models will arise through natural statistical pressures."
- OpenAI Paper
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Sep 6, 2025
Gökhan Ercan
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I really liked this OS analogy for LLMs. Strongly encourage watching the full speech by Karpathy.
t.co/df0wB6JqnU
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Aug 23, 2025
Gokhan Ercan, 2026