activity
20222024
most citedAbstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

The Design of a 3D Character Animation System for Digital Twins in the Metaverse

Senem Tanberk, Dilek Bilgin Tukel, Kadir Acar

In the context of Industry 4.0, digital twin technology has emerged with rapid advancements as a powerful tool for visualizing and analyzing industrial assets. This technology has…

cs.CL2023

Resume Information Extraction via Post-OCR Text Processing

Selahattin Serdar Helli, Senem Tanberk, Sena Nur Cavsak

Information extraction (IE), one of the main tasks of natural language processing (NLP), has recently increased importance in the use of resumes. In studies on the text to extract…

cs.CL2023★ 2 cited

Abstractive Text Summarization for Resumes With Cutting Edge NLP Transformers and LSTM

Öykü Berfin Mercan, Sena Nur Cavsak, Aysu Deliahmetoglu +1

Text summarization is a fundamental task in natural language processing that aims to condense large amounts of textual information into concise and coherent summaries. With the exp…

cs.CV2023★ 1 cited

Key Frame Extraction with Attention Based Deep Neural Networks

Samed Arslan, Senem Tanberk

Automatic keyframe detection from videos is an exercise in selecting scenes that can best summarize the content for long videos. Providing a summary of the video is an important ta…

cs.AI2022

Smart Journey in Istanbul: A Mobile Application in Smart Cities for Traffic Estimation by Harnessing Time Series

Senem Tanberk, Mustafa Can

In recent decades, mobile applications (apps) have gained enormous popularity. Smart services for smart cities increasingly gain attention. The main goal of the proposed research i…