MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish

no code implementations • 13 Dec 2020 • Begum Citamak, Ozan Caglayan, Menekse Kuyu, Erkut Erdem, Aykut Erdem, Pranava Madhyastha, Lucia Specia

We hope that the MSVD-Turkish dataset and the results reported in this work will lead to better video captioning and multimodal machine translation models for Turkish and other morphology rich and agglutinative languages.

Multimodal Machine Translation Sentence +3

Detecting Cybersecurity Events from Noisy Short Text

no code implementations • NAACL 2019 • Semih Yagcioglu, Mehmet Saygin Seyfioglu, Begum Citamak, Batuhan Bardak, Seren Guldamlasioglu, Azmi Yuksel, Emin Islam Tatli

In this study, we propose a method that leverages both domain-specific word embeddings and task-specific features to detect cyber security events from tweets.

2k Word Embeddings