Flytxt\_NTNU at SemEval-2018 Task 8: Identifying and Classifying Malware Text Using Conditional Random Fields and Na\"\ive Bayes Classifiers

2018-06-01 · SEMEVAL 2018 6 · 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. The paper proposes a supervised learning approach to identifying malware sentences given a document (subTask1 of SemEval 2018, Task 8), as well as to classifying malware tokens in the sentences (subTask2). The approach achieved good results, ranking second of twelve participants for both subtasks, with F-scores of 57{\%} for subTask1 and 28{\%} for subTask2.

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NTNU-1@ScienceIE at SemEval-2017 Task 10: Identifying and Labelling Keyphrases with Conditional Random Fields

2017-08-01 · SEMEVAL 2017 8 · Erwin Marsi, Utpal Kumar Sikdar, Cristina Marco, Biswanath Barik 외

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 …

Dependency Parsing Named Entity Recognition (NER)Relation Extraction

NTNUSentEval at SemEval-2016 Task 4: Combining General Classifiers for Fast Twitter Sentiment Analysis

2016-06-01 · SEMEVAL 2016 6 · Brage Ekroll Jahren, Valerij Fredriksen, Bj{\"o}rn Gamb{\"a}ck, Lars Bungum

Sentiment Analysis Twitter Sentiment Analysis

The NTNU System at SemEval-2017 Task 10: Extracting Keyphrases and Relations from Scientific Publications Using Multiple Conditional Random Fields

2017-08-01 · SEMEVAL 2017 8 · Lung-Hao Lee, Kuei-Ching Lee, Yuen-Hsien Tseng

This study describes the design of the NTNU system for the ScienceIE task at the SemEval 2017 workshop. We use self-defined feature templates and multiple conditional random fields with extracted features to identify key…

Multi-Task Learning

IDI@NTNU at SemEval-2016 Task 6: Detecting Stance in Tweets Using Shallow Features and GloVe Vectors for Word Representation

2016-06-01 · SEMEVAL 2016 6 · Henrik B{\o}hler, Petter Asla, Erwin Marsi, Rune S{\ae}tre

Sentiment Analysis Stance Detection

NTNU at SemEval-2018 Task 7: Classifier Ensembling for Semantic Relation Identification and Classification in Scientific Papers

2018-06-01 · SEMEVAL 2018 6 · Biswanath Barik, Utpal Kumar Sikdar, Bj{\"o}rn Gamb{\"a}ck

The paper presents NTNU{'}s contribution to SemEval-2018 Task 7 on relation identification and classification. The class weights and parameters of five alternative supervised classifiers were optimized through grid searc…

Classification feature selection General Classification Relation+2