ArcEager

In this project, we perform neural dependency parsing using the ArcEager model with both Bi-LSTM and BERT as oracles.

Contents

• Arc-Eager: Parser and static oracle

• Dataset: Analysis and preprocessing

• Baseline Model: Bi-LSTM (from scratch)

• BERT-based model (from scratch)

• Error analysis

• Discussion: Procedures, results, and comparison with SOTA

Team Members

Dejan Dichoski	José Chacón Mejía