Tolgahan Çakaloğlu
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Researcher
Also affiliated: Walmart (United States) (2018–2023)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Tolgahan Çakaloğlu's research focuses on the development and application of novel machine learning techniques, particularly in the domain of natural language processing and information retrieval. His work includes the investigation of advanced methods for topic modeling, such as n-stage Latent Dirichlet Allocation, and the creation of sophisticated neural network architectures. One such contribution is MRNN, a Multi-Resolution Neural Network incorporating Duplex Attention designed for deep ad-hoc retrieval tasks. He has also developed EmBoost, a method utilizing embedding boosting to learn multilevel abstract text representations for document retrieval. These efforts aim to enhance the accuracy and efficiency of systems that process and understand large volumes of text data. Çakaloğlu has authored 18 publications with 76 citations and maintains an h-index of 6, indicating recent activity in his research field.
Metrics
- h-index: 6
- Publications: 18
- Citations: 78
Selected Publications
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MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval (2023)
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EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval (2022)
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Duygu analizi için n-aşamalı Gizli Dirichlet Ayırımı ile diğer konu modelleme yöntemlerinin karşılaştırılması (2020)
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Text Embeddings for Retrieval from a Large Knowledge Base (2020)
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Comparison Method for Emotion Detection of Twitter Users (2019)
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Comparison of Topic Modeling Methods for Type Detection of Turkish News (2019)
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MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering (2019)
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Emotion Detection with n-stage Latent Dirichlet Allocation for Turkish Tweets (2019)
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A Multi-Resolution Word Embedding for Document Retrieval from Large Unstructured Knowledge Bases (2019)
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Text Embeddings for Retrieval From a Large Knowledge Base (2018)
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Classification of TurkishTweet emotions by n- stage Latent Dirichlet Allocation (2018)
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Medi-Deep: Deep control in a medication usage (2017)
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AAA: Accident Avoidance Agent (2016)
Collaboration Network
Top Collaborators
- EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval
- MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval
- EmBoost: Embedding Boosting to Learn Multilevel Abstract Text Representation for Document Retrieval
- MRNN: A Multi-Resolution Neural Network with Duplex Attention for Deep Ad-Hoc Retrieval
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