vidhishanair / FactEditLinks
☆14Updated 2 years ago
Alternatives and similar repositories for FactEdit
Users that are interested in FactEdit are comparing it to the libraries listed below
Sorting:
- FRANK: Factuality Evaluation Benchmark☆59Updated 2 years ago
- Data and code for "A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization" (ACL 2020)☆49Updated 2 years ago
- ☆24Updated 3 years ago
- Question Answering and Generation for Summarization☆71Updated 2 years ago
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated 2 years ago
- Code for paper "Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation" EMNLP 2021 and "…☆18Updated 3 years ago
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆46Updated 3 years ago
- doc2dial data includes a set of documents from multiple domains; and conversations between an assisting agent and an end user that are gr…☆40Updated 3 years ago
- Code for ACL 2022 Paper "SUMM^N: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents"☆63Updated 3 years ago
- [AAAI'21] Code and dataset for our paper: Enhancing Scientific Papers Summarization with Citation Graph☆25Updated 3 years ago
- ☆46Updated 2 years ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆43Updated 3 years ago
- The code repository for NAACL 2021 paper "AdaptSum: Towards Low-Resource Domain Adaptation for Abstractive Summarization".☆35Updated 4 years ago
- Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization☆55Updated 2 years ago
- Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)☆32Updated 2 years ago
- ☆27Updated 2 years ago
- GSum: A General Framework for Guided Neural Abstractive Summarization☆115Updated last month
- ☆44Updated 4 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆27Updated last year
- ☆101Updated 3 years ago
- ☆28Updated 2 years ago
- The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".☆17Updated 3 years ago
- ☆17Updated 2 years ago
- ☆30Updated 4 years ago
- ☆58Updated 4 years ago
- ☆39Updated 2 years ago
- MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents☆69Updated 3 years ago
- Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)☆15Updated 3 years ago
- ☆71Updated 4 years ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆40Updated 3 years ago