I am the Director of AI at Apziva. I received my PhD in Computer Engineering from Hacettepe University where I focused on multimodal comprehension of how-to instructions. Previously, I was a Group Lead at STM. I am interested in learning algorithms and work at the intersection of language and vision. I want to understand intelligence and help machines solve challenging problems.

News

• 2024: I haven't been updating the website for a while. Please contact via email or through LinkedIn.
• 2019: Our paper on Detecting Cybersecurity Events from Noisy Short Text has been accepted at NAACL 2019.
• 2019: We're looking for two Sr. Full Stack Software Engineers to work on AI projects at STM.
• 2019: I'll be a guest lecturer at TOBB University for BIL529 on Jan 26.
• 2018: I'll be speaking at KTU about AI in Product Development on Dec 11.
• 2018: I'll be a guest lecturer at Bilkent University for CS491 on Dec 10.
• 2018: I'll be speaking at Konya Technical University about AI in Defence on Nov 6.
• 2018: Our work on Multimodal Comprehension is covered by MIT Technology Review.
• 2018: Our paper on Multimodal Machine Comprehension is accepted to EMNLP 2018.
• 2018: I'll be speaking at METU about Learning Algorithms on Apr 24.
• 2017: I'll be speaking at IWICS about AI and its Applications in Cybersecurity on Dec 8.
• 2017: We are organizing an AI and ML meetup in Ankara, starting on Nov 6.
• 2017: We are looking for AI and ML enthusiasts at STM.
• 2017: I'll be speaking at PyData Istanbul on Apr 15.
• 2016: We released TasvirEt dataset, containing Turkish captions for Flickr8K dataset.
• 2016: Our paper on Turkish image captioning won the Alper Atalay Best Student Paper Award (First Prize) at SIU 2016.
• 2016: Our work on Turkish image description generation is featured on national TV.

Research
I am interested in machine intelligence and how machines learn. Broadly, I do research in Computer Vision and Natural Language Processing. More specifically, I am interested in the following research areas.

• Reading Comprehension and Visual Reasoning
• Deep Learning and its applications

Posts

• What's Hot In Your Field
• Setting Up a Machine for Deep Learning
• Image Captioning: A Retrospect on Our Latest Study

Talks

• AI in Cybersecurity, TOBB ETU
• AI in Product Development, Karadeniz Technical University
• Machine Learning in the Wild, CS491 at Bilkent University
• Learning Algorithms, METU
• How Machines Learn, AI and ML Meetup
• Teaching Machines to Understand What They See, PyData Istanbul

Papers

• Procedural Reasoning Networks for Understanding Multimodal Procedures
  Mustafa Sercan Amac, Semih Yagcioglu, Aykut Erdem, and Erkut Erdem
  [CoNLL19] [pdf] [project]
  
  
• Detecting Cybersecurity Events from Noisy Short Text
  S. Yagcioglu, M. S. Seyfioglu, B. Citamak, B. Bardak, S. Guldamlasioglu, A. Yuksel and E. I. Tatli
  [NAACL19] [pdf] [project]
  
  
• RecipeQA: A Challenge Dataset for Multimodal Comprehension of Cooking Recipes
  S. Yagcioglu, A. Erdem, E. Erdem, N. Ikizler-Cinbis
  [EMNLP18] [pdf] [project]
  
  
• TasvirEt: A Benchmark Dataset for Automatic Turkish Description Generation from Images
  M. E. Unal, B. Citamak, S. Yagcioglu, A. Erdem, E. Erdem, N. Ikizler-Cinbis, R. Cakici
  [SIU16] [pdf] [project] Best Paper Award
  
  
• A Distributed Representation Based Query Expansion Approach for Image Captioning
  S. Yagcioglu, E. Erdem, A. Erdem, R. Cakici
  [ACL15] [pdf] [project]
  
  
• City Scale Image Geolocalization via Dense Scene Alignment
  S. Yagcioglu, E. Erdem, A. Erdem
  [WACV15] [pdf] [project]