English Resource Semantics

Recent years have seen a dramatic increase in interest in semantically­informed natural language processing, including parsing into semantic representations, grounded language processing that connects linguistic structures to world representations, proposals to integrate compositional and distributional approaches to semantics, and approaches to semantically­sensitive tasks including sentiment analysis, summarization, generation, machine translation, and information extraction which take into account linguistic structure beyond n­grams. The semantic inputs to this work include a wide range of representations, from word embeddings, to syntactic dependencies used as a proxy for semantic dependencies, to sentence­level semantic representations either partial (e.g. semantic role labels) or fully articulated.