Alternatives and similar repositories for frank:

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

• tagoyal / factuality-datasets
  ☆46Updated last year
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated last year
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• vidhishanair / FactEdit
  ☆14Updated last year
• google-research-datasets / xsum_hallucination_annotations
  Faithfulness and factuality annotations of XSum summaries from our paper "On Faithfulness and Factuality in Abstractive Summarization" (h…
  ☆82Updated 4 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 3 years ago
• mcao516 / EntFA
  ☆26Updated 2 years ago
• tingofurro / summac
  Codebase, data and models for the SummaC paper in TACL
  ☆93Updated 3 months ago
• GXimingLu / neurologic_decoding
  ☆82Updated 2 years ago
• amazon-science / fact-check-summarization
  ☆77Updated last year
• mcao516 / Factual-Error-Correction
  ☆24Updated 2 years ago
• tagoyal / dae-factuality
  ☆27Updated 2 years ago
• McGill-NLP / FaithDial
  ☆48Updated 2 years ago
• stangelid / qt
  ☆44Updated 3 years ago
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆39Updated 2 years ago
• Yale-LILY / DYLE
  Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization
  ☆55Updated last year
• ryokamoi / wice
  This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.
  ☆41Updated last year
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆25Updated last year
• Yale-LILY / ROSE
  ☆38Updated last year
• salesforce / QAFactEval
  ☆46Updated 2 years ago
• mingdachen / WikiTableT
  Code, data, and pretrained models for the paper "Generating Wikipedia Article Sections from Diverse Data Sources"
  ☆20Updated 4 years ago
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆41Updated 2 years ago
• kite99520 / DialSummEval
  Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"
  ☆15Updated 2 years ago
• danieldeutsch / qaeval
  ☆15Updated 3 years ago
• wangpf3 / Commonsense-Path-Generator
  ☆34Updated 4 years ago
• TalSchuster / VitaminC
  Contrastive Fact Verification
  ☆71Updated 2 years ago
• ShuyangCao / cliff_summ
  Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"
  ☆46Updated 3 years ago
• dapascual / K2T
  ☆71Updated 3 years ago
• goodbai-nlp / AMRBART
  Code for our paper "Graph Pre-training for AMR Parsing and Generation" in ACL2022
  ☆96Updated last year
• Shikib / usr
  Code for ACL 2020 paper: USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation (https://arxiv.org/pdf/2005.0045…
  ☆50Updated 2 years ago