amazon-science / intent-aware-encoderLinks
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
☆15Updated last year
Alternatives and similar repositories for intent-aware-encoder
Users that are interested in intent-aware-encoder are comparing it to the libraries listed below
Sorting:
- MultiSpanQA: A Dataset for Multi-Span Question Answering☆28Updated 2 years ago
- The codes for ACL2022 paper “CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation☆23Updated 2 years ago
- ALIGNIE: Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation☆21Updated 2 years ago
- [NAACL 2022] Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning.☆57Updated last year
- ☆16Updated 3 years ago
- ☆17Updated 2 years ago
- The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Gene…☆26Updated last year
- Dataset for TACL 2022 paper: "FeTaQA: Free-form Table Question Answering"☆82Updated 2 years ago
- Code and dataset for the emnlp paper titled Instruct and Extract: Instruction Tuning for On-Demand Information Extraction☆53Updated last year
- This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Sh…☆133Updated 2 years ago
- Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors (ACL 2023)☆27Updated last year
- code for modular summarization work published in ACL2021 by Krishna et al☆30Updated 3 years ago
- Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"☆101Updated 2 years ago
- ☆60Updated 3 years ago
- Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"☆71Updated 2 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 3 years ago
- An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation☆24Updated 3 years ago
- PyTorch code for "FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization" (NAACL 2022)☆40Updated 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
- Collection of scripts to pretrain T5 in unsupervised text, using PyTorch Lightning. CORD-19 pretraining provided as example.☆32Updated 4 years ago
- Source for the ACL 2021 Findings paper "Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models"☆50Updated 2 years ago
- Token-level Reference-free Hallucination Detection☆96Updated 2 years ago
- ☆27Updated 3 years ago
- ☆117Updated 3 years ago
- ☆39Updated 2 years ago
- We construct and introduce DIALFACT, a testing benchmark dataset crowd-annotated conversational claims, paired with pieces of evidence fr…☆42Updated 2 years ago
- Dataset, metrics, and models for TACL 2023 paper MACSUM: Controllable Summarization with Mixed Attributes.☆34Updated 2 years ago
- Code for EMNLP 2021 paper "CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive Summarization"☆46Updated 3 years ago
- PyTorch implementation and pre-trained models for ASP - Autoregressive Structured Prediction with Language Models, EMNLP 22. https://arxi…☆107Updated last year
- [EMNLP 2022 Findings] Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study☆34Updated last year