Deriving syntax-semantics mappings: node linking, type shifting and scope ambiguity
Code (0)
등록된 구현이 없습니다.
Tasks
Vocal Bursts Type PredictionSimilar Papers 제목 키워드 기반
An Improved Approach for Semantic Graph Composition with CCG
This paper builds on previous work using Combinatory Categorial Grammar (CCG) to derive a transparent syntax-semantics interface for Abstract Meaning Representation (AMR) parsing. We define new semantics for the CCG comb…
Abstract Meaning RepresentationAMR ParsingRelationDALL-E 2 Fails to Reliably Capture Common Syntactic Processes
Machine intelligence is increasingly being linked to claims about sentience, language processing, and an ability to comprehend and transform natural language into a range of stimuli. We systematically analyze the ability…
NegationExploring Semantic Incrementality with Dynamic Syntax and Vector Space Semantics
One of the fundamental requirements for models of semantic processing in dialogue is incrementality: a model must reflect how people interpret and generate language at least on a word-by-word basis, and handle phenomena …
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities
Past research has examined how well these models grasp code syntax, yet their understanding of code semantics still needs to be explored. We extensively analyze seven code models to investigate how code models represent …
Code CompletionCode SearchLanguage ModellingProgram SynthesisIncorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension
Machine reading comprehension (MRC) is one of the most critical yet challenging tasks in natural language understanding(NLU), where both syntax and semantics information of text are essential components for text understa…
Machine Reading ComprehensionNatural Language UnderstandingReading Comprehension