Alternatives and similar repositories for NLPMetrics:

Users that are interested in NLPMetrics are comparing it to the libraries listed below

• jiangqn / Text-Style-Transfer
  A list of resources about Text Style Transfer
  ☆59Updated 4 years ago
• facebookresearch / UnsupervisedQA
  Unsupervised Question answering via Cloze Translation
  ☆219Updated 2 years ago
• sebastianGehrmann / bottom-up-summary
  ☆177Updated 6 years ago
• sosuperic / MeanSum
  ☆112Updated 5 years ago
• facebookresearch / SentAugment
  SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…
  ☆361Updated 2 years ago
• AndriyMulyar / bert_document_classification
  architectures and pre-trained models for long document classification.
  ☆154Updated 4 years ago
• Eric-Wallace / interpretability-tutorial-emnlp2020
  Materials for the EMNLP 2020 Tutorial on "Interpreting Predictions of NLP Models"
  ☆198Updated 4 years ago
• pltrdy / files2rouge
  Calculating ROUGE score between two files (line-by-line)
  ☆192Updated 3 years ago
• facebookresearch / MLQA
  New dataset
  ☆302Updated 3 years ago
• artetxem / monoses
  Unsupervised Statistical Machine Translation
  ☆229Updated 4 years ago
• neulab / compare-mt
  A tool for holistic analysis of language generations systems
  ☆467Updated 2 years ago
• Diego999 / py-rouge
  Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.
  ☆157Updated 5 years ago
• nelson-liu / contextual-repr-analysis
  A toolkit for evaluating the linguistic knowledge and transferability of contextual representations. Code for "Linguistic Knowledge and T…
  ☆210Updated 3 years ago
• kedz / nnsum
  An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarizat…
  ☆107Updated 5 years ago
• CZWin32768 / XNLG
  AAAI-20 paper: Cross-Lingual Natural Language Generation via Pre-Training
  ☆129Updated 3 years ago
• qipeng / golden-retriever
  Authors' implementation of EMNLP-IJCNLP 2019 paper "Answering Complex Open-domain Questions Through Iterative Query Generation"
  ☆195Updated 5 years ago
• nlpyang / hiersumm
  Code for paper Hierarchical Transformers for Multi-Document Summarization in ACL2019
  ☆230Updated 5 years ago
• raosudha89 / GYAFC-corpus
  This is the Grammarly's Yahoo Answers Formality Corpus
  ☆106Updated last year
• jiacheng-xu / DiscoBERT
  Code for paper "Discourse-Aware Neural Extractive Text Summarization" (ACL20)
  ☆163Updated 4 years ago
• allenai / vampire
  Variational Methods for Pretraining in Resource-limited Environments
  ☆174Updated 4 years ago
• martiansideofthemoon / squash-generation
  Official code and data repository for our ACL 2019 long paper "Generating Question-Answer Hierarchies" (https://arxiv.org/abs/1906.02622)…
  ☆93Updated 6 months ago
• hsm207 / bert_attn_viz
  Visualize BERT's self-attention layers on text classification tasks
  ☆47Updated 5 years ago
• strubell / LISA
  Linguistically-Informed Self-Attention implemented in TensorFlow
  ☆201Updated 5 years ago
• BinWang28 / SBERT-WK-Sentence-Embedding
  IEEE/ACM TASLP 2020: SBERT-WK: A Sentence Embedding Method By Dissecting BERT-based Word Models
  ☆178Updated 4 years ago
• Andrew03 / transformer-abstractive-summarization
  Code for the paper "Efficient Adaption of Pretrained Transformers for Abstractive Summarization"
  ☆71Updated 5 years ago
• epwalsh / nlp-models
  NLP research experiments, built on PyTorch within the AllenNLP framework.
  ☆91Updated 11 months ago
• zphang / bert_on_stilts
  Fork of huggingface/pytorch-pretrained-BERT for BERT on STILTs
  ☆106Updated 2 years ago
• ShilinHe / interpretableNLP
  A list of publications on NLP interpretability (Welcome PR)
  ☆167Updated 4 years ago
• cbaziotis / neat-vision
  Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Process…
  ☆250Updated 6 years ago
• armancohan / long-summarization
  Resources for the NAACL 2018 paper "A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents"
  ☆364Updated last year