2 citations · 3 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
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…
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…