NLP

Huggingface/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Read More

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.

Read More