zmtdya's repositories
fact_triple_extraction
使用句法依存分析抽取事实三元组
Language:Python000
PRGC
PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
Language:Python000
TaBERT
This repository contains source code for the TaBERT model, a pre-trained language model for learning joint representations of natural language utterances and (semi-)structured tables for semantic parsing. TaBERT is pre-trained on a massive corpus of 26M Web tables and their associated natural language context, and could be used as a drop-in replacement of a semantic parsers original encoder to compute representations for utterances and table schemas (columns).
Language:PythonNOASSERTION000
Language:Jupyter Notebook000