Complex Sentence

Complex sentence processing is a crucial area of natural language processing (NLP) research focused on improving the understanding and manipulation of syntactically intricate sentences. Current research emphasizes developing models, often leveraging large language models (LLMs) and compositional semantic parsing techniques, to accurately decompose complex sentences into simpler, semantically equivalent units, addressing challenges like quantifier scope ambiguity and ensuring well-formed output representations. This work has significant implications for improving the performance of downstream NLP tasks, such as text simplification, question answering, and database querying, and for creating more user-friendly interfaces for interacting with complex information.

Papers