mcao516 / rej-summ
☆8Updated last year
Alternatives and similar repositories for rej-summ:
Users that are interested in rej-summ are comparing it to the libraries listed below
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆39Updated 2 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆25Updated last year
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- Mutual Information Predicts Hallucinations in Abstractive Summarization☆12Updated 2 years ago
- ☆13Updated last year
- 🤖 Code for our EMNLP 2022 paper: "BotsTalk: Machine-sourced Framework for Automatic Curation of Large-scale Multi-skill Dialogue Dataset…☆16Updated 6 months ago
- Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"☆15Updated 2 years ago
- ACL 2023 short: Balancing Lexical and Semantic Quality in Abstractive Summarization☆15Updated last year
- ☆17Updated last year
- KETOD Knowledge-Enriched Task-Oriented Dialogue☆32Updated 2 years ago
- ☆32Updated last month
- PyTorch reimplementation of the paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization"☆16Updated 3 years ago
- Perturbation CheckLists for Evaluating NLG Evaluation Metrics, EMNLP 2021☆9Updated 3 years ago
- ☆48Updated 2 years ago
- The official implementation for ACL 2021 "Challenges in Information Seeking QA: Unanswerable Questions and Paragraph Retrieval".☆27Updated 3 years ago
- The implementation of <Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation> in PyTorch.☆16Updated 3 years ago
- The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".☆17Updated 2 years ago
- ☆26Updated 2 years ago
- Code for "Unsupervised Abstractive Dialogue Summarization with Word Graphs and POV Conversion"☆12Updated 2 years ago
- ☆38Updated 2 years ago
- The contrastive token loss function for reducing generative repetition of autoregressive neural language models.☆12Updated 2 years ago
- Research code for the paper "How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models"☆26Updated 3 years ago
- [ICLR 2023] PyTorch code of Summarization Programs: Interpretable Abstractive Summarization with Neural Modular Trees☆24Updated last year
- The official implemetation of "Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks" (NAACL 2022).☆43Updated 2 years ago
- The corresponding code from our paper " COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion (ACL …☆18Updated 2 years ago
- ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy☆14Updated 3 years ago
- ☆24Updated 2 years ago
- [COLING 2022] Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization☆25Updated last year
- ☆16Updated 3 years ago
- The purpose of this repository is to introduce new dialogue-level commonsense inference datasets and tasks. We chose dialogues as the dat…☆64Updated 2 years ago