Pytorch

N-LTP: A Open-source Neural Chinese Language Technology Platform with Pretrained Models

An open-source neural language technology platform supporting six fundamental Chinese NLP tasks:

lexical analysis (Chinese word segmentation, part-of-speech tagging, and named entity recognition)
syntactic parsing (dependency parsing)
semantic parsing (semantic dependency parsing and semantic role labeling)

HIT-SCIR at MRP 2020: Transition-based Parser and Iterative Inference Parser

This paper describes our submission system (HIT-SCIR) for the CoNLL 2020 shared task: Cross-Framework and Cross-Lingual Meaning Representation Parsing.
Our solution consists of two sub-systems:

transition-based parser for Flavor (1) frameworks (UCCA, EDS, PTG)
and iterative inference parser for Flavor (2) frameworks (DRG, AMR)

In the final evaluation, our system is ranked 3rd among the seven team both in Cross-Framework Track and Cross-Lingual Track, with the macro-averaged MRP F1 score of 0.81/0.69.