Traditional event extraction methods require predefined event types and their corresponding
annotations to learn event extractors. These prerequisites are often hard to be satisfied in …

Event schema provides a conceptual, structural and formal language to represent events
and model the world event knowledge. Unfortunately, it is challenging to automatically …

Abstract This paper presents Unsupervised Lexical Frame Induction, Task 2 of the
International Workshop on Semantic Evaluation in 2019. Given a set of prespecified …

Semantic frames are formal structures describing situations, actions or events, eg,
Commerce buy, Kidnapping, or Exchange. Each frame provides a set of frame elements or …

We 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 on …

Building large datasets annotated with semantic information, such as FrameNet, is an
expensive process. Consequently, such resources are unavailable for many languages and …

Although FrameNet is recognized as one of the most fine-grained lexical databases, its
coverage of lexical units is still limited. To tackle this issue, we propose a two-step frame …

Contextualized word representations have proven useful for various natural language
processing tasks. However, it remains unclear to what extent these representations can …

This paper begins with the premise that adverbs are neglected in computational linguistics.
This view derives from two analyses: a literature review and a novel adverb dataset to probe …

We present a detailed theoretical and computational analysis of the Watset meta-algorithm
for fuzzy graph clustering, which has been found to be widely applicable in a variety of …