Alternatives and similar repositories for DialSummEval:

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

• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated last year
• 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
• Liyan06 / AggreFact
  Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)
  ☆25Updated last year
• mcao516 / Factual-Error-Correction
  ☆24Updated 2 years ago
• Yale-LILY / ROSE
  ☆38Updated last year
• esdurmus / feqa
  Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)
  ☆48Updated last year
• yumoxu / oreo
  ☆13Updated 2 years ago
• thu-coai / CTRLEval
  Codes for our paper "CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation" (ACL 2022)
  ☆31Updated 2 years ago
• tagoyal / factuality-datasets
  ☆45Updated last year
• meetdavidwan / factpegasus
  PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)
  ☆38Updated 2 years ago
• shiquanyang / NS-Dial
  An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
  ☆23Updated 3 years ago
• dapascual / K2T
  ☆71Updated 3 years ago
• yumoxu / marge
  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
  ☆33Updated 2 years ago
• psunlpgroup / MACSum
  Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.
  ☆34Updated last year
• tagoyal / dae-factuality
  ☆27Updated 2 years ago
• artidoro / frank
  FRANK: Factuality Evaluation Benchmark
  ☆54Updated 2 years ago
• xu1998hz / InstructScore_SEScore3
  First explanation metric (diagnostic report) for text generation evaluation
  ☆62Updated last month
• princeton-nlp / EvalConvQA
  [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering
  ☆45Updated 2 years ago
• Yushi-Hu / IC-DST
  Code base of In-Context Learning for Dialogue State tracking
  ☆45Updated last year
• PlusLabNLP / AESOP
  Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)
  ☆27Updated 3 years ago
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆28Updated 3 years ago
• vidhishanair / FactEdit
  ☆14Updated last year
• Yale-LILY / ConvoSumm
  ☆38Updated 2 years ago
• McGill-NLP / FaithDial
  ☆48Updated 2 years ago
• shuo-git / VecConstNMT
  ☆25Updated 2 years ago
• peterwestuw / surface-form-competition
  ☆58Updated 2 years ago
• 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
• littlehacker26 / Discriminator-Cooperative-Unlikelihood-Prompt-Tuning
  The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…
  ☆26Updated last year
• swj0419 / kNN_prompt
  TBC
  ☆26Updated 2 years ago
• dmis-lab / excord
  Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)
  ☆32Updated 2 years ago