mlsanityData to 7 Oct 2026

Getting More Out Of Syntax with PropS

arXiv 1603.01648 ↗First posted 4 Mar 2016cs.CLcited by 8

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Abstract (arXiv)

Semantic NLP applications often rely on dependency trees to recognize major elements of the proposition structure of sentences. Yet, while much semantic structure is indeed expressed by syntax, many phenomena are not easily read out of dependency trees, often leading to further ad-hoc heuristic post-processing or to information loss. To directly address the needs of semantic applications, we present PropS -- an output representation designed to explicitly and uniformly express much of the proposition structure which is implied from syntax, and an associated tool for extracting it from dependency trees.

Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 Mar 2016.

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Citing papers per year: 2021: 4; 2022: 3; 2023: 0; 2024: 1.

8 papers.