Role Labeling

This paper describes a system for semantic role labeling for the CoNLL2005 Shared task. We divide the task into two sub-tasks: boundary recognition by a general tree- based predicate-argument recognition …...

We present a series of empirical studies aimed at illuminating more precisely the likely contribution of semantic roles in im- proving statistical machine translation ac- curacy. The experiments reported study …...

Event extraction is a particularly challenging type of information extraction (IE) that may require inferences from the whole article. However, most current event extraction systems rely on local information at …...

We introduce the social study of bullying to the NLP community. Bullying, in both physi- cal and cyber worlds (the latter known as cy- berbullying), has been recognized as a …...

. Information Extraction systems must cope with two problems : they heavily depend on the considered domain but the cost of development for a domain-specific system is important. We propose …...

The current approaches to Semantic Role Labeling (SRL) usually perform role clas- sification for each predicate separately and the interaction among individual predi- cate’s role labeling is ignored if there …...

AbstractWe present our system for semantic frame induction that showed the best performance in Subtask B.1 and finished as the runner-up in Subtask A of the SemEval 2019 Task 2 …...