Computers understand very little of the meaning of human language. This profoundly limits
our ability to give instructions to computers, the ability of computers to explain their actions to …

Frame semantics is a linguistic theory that has been instantiated for English in the FrameNet
lexicon. We solve the problem of frame-semantic parsing using a two-stage statistical model …

Owing to the need for a deep understanding of linguistic items, semantic representation is
considered to be one of the fundamental components of several applications in Natural …

This paper contributes a formalization of frame-semantic parsing as a structure prediction
problem and describes an implemented parser that transforms an English sentence into a …

We describe a new approach to disambiguating semantic frames evoked by lexical
predicates previously unseen in a lexicon or annotated data. Our approach makes use of …

Knowledge graphs have become a fundamental asset for search engines. A fair amount of
user queries seek information on problem-solving tasks such as building a fence or …

This paper presents the Predicate Matrix v1. 1, a new lexical resource resulting from the
integration of multiple sources of predicate information including FrameNet (Baker et al …

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, Kidnap**, or Exchange. Each frame provides a set of frame elements or …

Large-scale annotated corpora are a prerequisite to develo** high-performance semantic
role labeling systems. Unfortunately, such corpora are expensive to produce, limited in size …