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 …

This paper presents a semantic parsing and reasoning approach to automatically solving
math word problems. A new meaning representation language is designed to bridge natural …

We present a new, efficient frame-semantic parser that labels semantic arguments to
FrameNet predicates. Built using an extension to the segmental RNN that emphasizes …

We introduce the syntactic scaffold, an approach to incorporating syntactic information into
semantic tasks. Syntactic scaffolds avoid expensive syntactic processing at runtime, only …

We present a deep neural architecture that parses sentences into three semantic
dependency graph formalisms. By using efficient, nearly arc-factored inference and a …

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 …

Semantic role labeling, the computational identification and labeling of arguments in text,
has become a leading task in computational linguistics today. Although the issues for this …

essential reference work to cognitive linguistics. It encompasses a wide range of
perspectives and approaches, covering all the key areas of cognitive linguistics and drawing …

We have implemented a novel approach for robust ontology design from natural language
texts by combining Discourse Representation Theory (DRT), linguistic frame semantics, and …

The resurgence of effort within computational semantics has led to increased interest in
various types of relation extraction and semantic parsing. While various manually annotated …