@inproceedings{arslan-2020-pin,
    title = "Pin{\_}cod{\_} at {S}em{E}val-2020 Task 12: Injecting Lexicons into Bidirectional Long Short-Term Memory Networks to Detect {T}urkish Offensive Tweets",
    author = "Arslan, Pinar",
    editor = "Herbelot, Aurelie  and
      Zhu, Xiaodan  and
      Palmer, Alexis  and
      Schneider, Nathan  and
      May, Jonathan  and
      Shutova, Ekaterina",
    booktitle = "Proceedings of the Fourteenth Workshop on Semantic Evaluation",
    month = dec,
    year = "2020",
    address = "Barcelona (online)",
    publisher = "International Committee for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.semeval-1.281/",
    doi = "10.18653/v1/2020.semeval-1.281",
    pages = "2117--2122",
    abstract = "This paper describes a system (pin{\_}cod{\_}) built for SemEval 2020 Task 12: OffensEval: Multilingual Offensive Language Identification in Social Media (Zampieri et al., 2020). I present the system based on the architecture of bidirectional long short-term memory networks (BiLSTM) concatenated with lexicon-based features and a social-network specific feature and then followed by two fully connected dense layers for detecting Turkish offensive tweets. The pin cod `s system achieved a macro F1-score of 0.7496 for Sub-task A - Offensive language identification in Turkish."
}