no code implementations • WS 2018 • Utpal Kumar Sikdar, Biswanath Barik, Bj{\"o}rn Gamb{\"a}ck
Named Entity Recognition is an important information extraction task that identifies proper names in unstructured texts and classifies them into some pre-defined categories.
no code implementations • SEMEVAL 2018 • Biswanath Barik, Utpal Kumar Sikdar, Bj{\"o}rn Gamb{\"a}ck
For relation identification and classification in subtask 2, it achieved F1 scores of 33. 9{\%} and 17. 0{\%},
no code implementations • SEMEVAL 2018 • Utpal Kumar Sikdar, Biswanath Barik, Bj{\"o}rn Gamb{\"a}ck
Cybersecurity risks such as malware threaten the personal safety of users, but to identify malware text is a major challenge.
no code implementations • SEMEVAL 2017 • Erwin Marsi, Utpal Kumar Sikdar, Cristina Marco, Biswanath Barik, Rune S{\ae}tre
We present NTNU{'}s systems for Task A (prediction of keyphrases) and Task B (labelling as Material, Process or Task) at SemEval 2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications (Augenstein et al., 2017).
no code implementations • SEMEVAL 2017 • Biswanath Barik, Erwin Marsi
This paper presents our relation extraction system for subtask C of SemEval-2017 Task 10: ScienceIE.