Pinned Repositories
AMR-gs
AMR Parsing via Graph-Sequence Iterative Inference
amr-metric-suite
This project collects methods that enhance the comparison between AMR graphs.
amrlib
A python library that makes AMR parsing, generation and visualization simple.
AstroNvim
AstroNvim is an aesthetic and feature-rich neovim config that is extensible and easy to use with a great set of plugins
awesome-deep-learning-papers
The most cited deep learning papers
bert_score
BERT score for text generation
BlogTwoTest.github.io
jamr
JAMR Parser and Generator
REALSumm
REALSumm: Re-evaluating Evaluation in Text Summarization
smatch
Smatch tool: evaluation of AMR semantic structures
bzhao2718's Repositories
bzhao2718/amr-metric-suite
This project collects methods that enhance the comparison between AMR graphs.
bzhao2718/jamr
JAMR Parser and Generator
bzhao2718/smatch
Smatch tool: evaluation of AMR semantic structures
bzhao2718/AMR-gs
AMR Parsing via Graph-Sequence Iterative Inference
bzhao2718/awesome-deep-learning-papers
The most cited deep learning papers
bzhao2718/DIP-SumEval
The DIP Summary Evaluation Corpus
bzhao2718/emnlp-ws-2017-s3
Summarization evaluation tool for content selection evaluation.
bzhao2718/EMNLP_17_submission
The dataset and statistical analysis code released with the submission of EMNLP 2017 paper "Why We Need New Evaluation Metrics for NLG"
bzhao2718/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
bzhao2718/GRUEN
GRUEN for Evaluating Linguistic Quality of Generated Text
bzhao2718/HierarchicalSummarization
A Multi-faceted Hierarchical Summarization Corpus of Large Heterogeneous Data
bzhao2718/joeynmt
Minimalist NMT for educational purposes
bzhao2718/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
bzhao2718/PreSumm
code for EMNLP 2019 paper Text Summarization with Pretrained Encoders
bzhao2718/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
bzhao2718/qags
Question Answering and Generation for Summarization
bzhao2718/xsum_hallucination_annotations
Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (https://www.aclweb.org/anthology/2020.acl-main.173.pdf).