scofield7419/HeSyFu
Code for the ACL2021 paper: Better Combine Them Together! Integrating Syntactic Constituency and Dependency Representations for Semantic Role Labeling
This tool helps natural language processing researchers improve how computers understand the meaning of sentences. It takes a sentence's grammatical structure (both constituency and dependency information) and common word embeddings as input. The output is a more accurate identification of 'who did what to whom' in the sentence, which is useful for NLP researchers and developers working on advanced language understanding systems.
No commits in the last 6 months.
Use this if you are an NLP researcher working on semantic role labeling and want to experiment with combining different types of syntactic information to improve model performance.
Not ideal if you are a non-developer seeking a ready-to-use application for general text analysis or a simple API for common NLP tasks.
Stars
14
Forks
8
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 14, 2023
Commits (30d)
0
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