aghie / parsing-as-pretrainingLinks
Parsing only with Pretraining Networks
☆16Updated last year
Alternatives and similar repositories for parsing-as-pretraining
Users that are interested in parsing-as-pretraining are comparing it to the libraries listed below
Sorting:
- Modular implementation of an AM dependency parser in AllenNLP.☆32Updated last year
- Dependency Grammar Induction☆18Updated 6 years ago
- Dependency Parsing as Sequence Labeling☆26Updated last year
- ☆19Updated 5 years ago
- Constituency parser for English and Chinese, built on the RNNG and In-Order parsers with BERT☆38Updated 5 years ago
- Dependency Parsing as Sequence Labeling with Python3+ and PyTorch1+ and MTL☆10Updated 5 years ago
- ☆22Updated 5 years ago
- Code for Evaluating Explanations for Reading Comprehension with Realistic Counterfactuals.☆18Updated 4 years ago
- ☆25Updated last year
- Graph-based and Transition-based dependency parsers based on BiLSTMs☆30Updated 6 years ago
- Explicit Alignment Objectives for Multilingual Bidirectional Encoders☆14Updated 4 years ago
- UDapter is a multilingual dependency parser that uses "contextual" adapters together with language-typology features for language-specifi…☆31Updated 2 years ago
- ☆25Updated 3 years ago
- Chu-Lui-Edmonds decoding extracted from TurboParser☆14Updated 8 years ago
- ☆19Updated 5 years ago
- Cross-lingual TRansfer Evaluation of Multilingual Encoders (XTREME)☆22Updated 5 years ago
- Frame-Semantic and PropBank Semantic Role Labeling with Syntactic Scaffolding.☆50Updated 4 years ago
- Question-Answer Meaning Representation☆48Updated 3 years ago
- Dynet-based Biaffine Parser☆33Updated 6 years ago
- ☆31Updated 6 years ago
- Automatically harvested multilingual contrastive word sense disambiguation test sets for machine translation☆17Updated 4 years ago
- Pytorch implementation of Graph-to-Graph Transformer for Transition-based Dependency Parsing accepted to EMNLP 2020☆21Updated 2 years ago
- ☆13Updated 3 years ago
- Source code for "Improving Robustness of Neural Machine Translation with Multi-task Learning"☆19Updated 6 years ago
- ☆17Updated 3 years ago
- ☆13Updated 4 years ago
- Pytorch implementation of models described in "Grounded compositional outputs for adaptive language modeling", EMNLP 2020.☆18Updated 4 years ago
- Python code for training models in the ACL paper, "Beyond BLEU:Training Neural Machine Translation with Semantic Similarity".☆52Updated 5 years ago
- Code and data for the paper "Soft Gazetteers for Low-resource Named Entity Recognition"☆19Updated 5 years ago
- TACL 2017☆27Updated 7 years ago