Alternatives and similar repositories for Training-Free-and-Ref-Free-Summ-Evaluation

Users that are interested in Training-Free-and-Ref-Free-Summ-Evaluation are comparing it to the libraries listed below

• yumoxu / marge
  Code for ACL 21: Generating Query Focused Summaries from Query-Free Resources
  ☆33Updated 3 years ago
• AkariAsai / unanswerable_qa
  The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".
  ☆28Updated 4 years ago
• wxjiao / UncSamp
  Implementation of our paper "Self-training Sampling with Monolingual Data Uncertainty for Neural Machine Translation" to appear in ACL-20…
  ☆31Updated 4 years ago
• chaojun-wang / Exposure-Bias-Hallucination-Domain-Shift
  Introduction and scripts for ACL-2020 paper "On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation"
  ☆21Updated 5 years ago
• ZhangShiyue / extractive_is_not_faithful
  ☆17Updated 2 years ago
• nxphi47 / data_diversification
  Instruction to data diversification
  ☆25Updated 4 years ago
• Yifan-Gao / multilingual_keyphrase_generation
  [NAACL'22-Findings] Dataset for "Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training"
  ☆18Updated 2 years ago
• INK-USC / XCSR
  Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
  ☆22Updated 3 years ago
• SiyuanWangw / StepwiseQA
  The code of Paper "Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering".
  ☆21Updated 2 years ago
• wxjiao / Data-Rejuvenation
  Implementation of our paper "Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation" in EMNLP-2020.
  ☆23Updated 4 years ago
• Yifan-Gao / Discern
  [EMNLP 2020] Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading
  ☆36Updated 2 years ago
• SAP-samples / acl2020-commonsense
  Source code for paper on commonsense reasoning for 2020 Annual Conference of the Association for Computational Linguistics (ACL) 2020.
  ☆29Updated last year
• HanNight / RE-T5
  Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).
  ☆29Updated 3 years ago
• facebookresearch / reconsider
  ReConsider is a re-ranking model that re-ranks the top-K (passage, answer-span) predictions of an Open-Domain QA Model like DPR (Karpukhi…
  ☆49Updated 4 years ago
• yanzhangnlp / BSL
  Bootstrapped Unsupervised Sentence Representation Learning (ACL 2021)
  ☆30Updated 3 years ago
• yxuansu / NAG-BERT
  [EACL'21] Non-Autoregressive with Pretrained Language Model
  ☆62Updated 2 years ago
• shiquanyang / NS-Dial
  An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation
  ☆24Updated 3 years ago
• SunbowLiu / PTvsBT
  On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation (Findings of EMNLP 2021))
  ☆13Updated 3 years ago
• Neutralzz / RefQA
  The implementation of the paper "Harvesting and Refining Question-Answer Pairs for Unsupervised QA"
  ☆33Updated 4 years ago
• LHRYANG / CRL_EGPG
  Pytorch Implementation of "Contrastive Representation Learning for Exemplar-Guided Paraphrase Generation"
  ☆26Updated 2 years ago
• luciusssss / why-learn-shortcut
  [ACL'21 Findings] Why Machine Reading Comprehension Models Learn Shortcuts?
  ☆16Updated 2 years ago
• jxhe / self-training-text-generation
  Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"
  ☆46Updated 3 years ago
• urvashik / knnmt
  ☆45Updated 4 years ago
• PlusLabNLP / AESOP
  Code for Aesop: Paraphrase Generation with Adaptive Syntactic Control (EMNLP 2021)
  ☆26Updated 3 years ago
• lipiji / uChecker
  Code of the COLING22 paper "uChecker: Masked Pretrained Language Models as Unsupervised Chinese Spelling Checkers"
  ☆19Updated 3 years ago
• jiacheng-xu / text-sum-uncertainty
  Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)
  ☆30Updated 4 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
• salesforce / DialFact
  We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…
  ☆42Updated 2 years ago
• google / BEGIN-dataset
  A benchmark dataset for evaluating dialog system and natural language generation metrics.
  ☆39Updated 3 years ago
• princeton-nlp / MADE
  EMNLP 2021: Single-dataset Experts for Multi-dataset Question-Answering
  ☆69Updated 3 years ago