HLTCHKUST / cqr4cqa
☆13Updated 2 years ago
Alternatives and similar repositories for cqr4cqa:
Users that are interested in cqr4cqa are comparing it to the libraries listed below
- The implementation of the paper "Retrieval-Free Knowledge-Grounded Dialogue Response Generation with Adapters".☆17Updated 2 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆25Updated last year
- Learn to Resolve Conversational Dependency: A Consistency Training Framework for Conversational Question Answering (Kim et al., ACL 2021)☆32Updated 2 years ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆41Updated 2 years ago
- Official code for "Continual Prompt Tuning for Dialog State Tracking" (ACL 2022).☆27Updated last year
- Code base of In-Context Learning for Dialogue State tracking☆45Updated last year
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated last year
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆23Updated 10 months ago
- Codes for "NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer" (ACL 2021 findings)☆15Updated 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
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆38Updated 2 years ago
- [COLING'22] Code for our paper: "COLO: A Contrastive Learning based Re-ranking Framework for One-Stage Summarization"☆22Updated 2 years ago
- Repository for ACL'22 paper: Dynamic Latent Extraction for Abstractive Long-Input Summarization☆55Updated last year
- ☆21Updated last year
- Code for ACL 2022 paper "Semi-Supervised Formality Style Transfer with Consistency Training".☆17Updated 2 years ago
- ☆14Updated last year
- ☆82Updated last year
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆45Updated 3 years ago
- [EMNLP 2022] Salience Allocation as Guidance for Abstractive Summarization☆25Updated last year
- EMNLP 2022: ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization☆35Updated last year
- 🐥 Code and Dataset for our EMNLP 2022 paper - "ProsocialDialog: A Prosocial Backbone for Conversational Agents"☆61Updated last year
- Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation☆18Updated 10 months ago
- [ACL 2022] Ditch the Gold Standard: Re-evaluating Conversational Question Answering☆45Updated 2 years ago
- ☆13Updated 2 years ago
- ☆25Updated 2 years ago
- Resources for paper "DialSummEval: Revisiting summarization evaluation for dialogues"☆14Updated 2 years ago
- Mutual Information Predicts Hallucinations in Abstractive Summarization☆12Updated 2 years ago
- ☆47Updated 2 years ago
- ☆58Updated 2 years ago
- FRANK: Factuality Evaluation Benchmark☆52Updated 2 years ago