facebookresearch / online_dialog_evalLinks
Code for the paper "Learning an Unreferenced Metric for Online Dialogue Evaluation", ACL 2020
☆28Updated last year
Alternatives and similar repositories for online_dialog_eval
Users that are interested in online_dialog_eval are comparing it to the libraries listed below
Sorting:
- A framework for training and evaluating AI models on a variety of openly available dialogue datasets.☆36Updated 4 years ago
- ☆42Updated 4 years ago
- code and data for EMNLP-19 paper "Counterfactual Story Reasoning and Generation" https://arxiv.org/abs/1909.04076☆101Updated 5 years ago
- Code and Data for the paper Investigating Evaluation of Open-Domain Dialogue Systems With Human Generated Multiple References SIGdial 201…☆28Updated 5 years ago
- code, data, and model for ACL-19 paper "Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading"☆77Updated 4 years ago
- Contains data/code for the paper "Neural Syntactic Preordering for Controlled Paraphrase Generation" (ACL 2020).☆76Updated 11 months ago
- Implementation of ICLR 2020 paper "Revisiting Self-Training for Neural Sequence Generation"☆46Updated 2 years ago
- Code for ACL 2020 paper: USR: An Unsupervised and Reference Free Evaluation Metric for Dialog Generation (https://arxiv.org/pdf/2005.0045…☆50Updated 2 years ago
- Code and Data for our EMNLP 2020 paper titled 'Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multiho…☆28Updated 3 years ago
- Plug-and-Play Conversational Models☆29Updated 3 years ago
- The official implementation of ACL 2020, "Logic-Guided Data Augmentation and Regularization for Consistent Question Answering".☆71Updated 11 months ago
- ☆46Updated 5 years ago
- NLG and NLU for dialogue processing☆42Updated 2 years ago
- The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020)☆54Updated 4 years ago
- The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020…☆66Updated 4 years ago
- A unified approach to explain conditional text generation models. Pytorch. The code of paper "Local Explanation of Dialogue Response Gene…☆17Updated 3 years ago
- MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems☆66Updated 3 years ago
- The official Keras implementation of ACL 2020 paper "Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-En…☆48Updated 2 years ago
- Progressively Pretrained Dense Corpus Index for Open-Domain QA and Information Retrieval☆43Updated 2 years ago
- [ACL 2020] Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading☆39Updated 2 years ago
- Data & Code for ACCENTOR: "Adding Chit-Chat to Enhance Task-Oriented Dialogues" (NAACL 2021)☆71Updated 3 years ago
- PyTorch implementation of A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (EMNLP 2019)☆48Updated 5 years ago
- Code for "Understanding Neural Abstractive Summarization Models via Uncertainty" (EMNLP20)☆30Updated 4 years ago
- ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation☆25Updated 4 years ago
- This repository contains the code for "How many data points is a prompt worth?"☆48Updated 4 years ago
- The source code of the paper "A Generative Model for Joint Natural Language Understanding and Generation" published at ACL 2020.☆32Updated 10 months ago
- The implementation of the paper "Evaluating Coherence in Dialogue Systems using Entailment"☆74Updated 9 months ago
- Code for our EACL-2021 paper "Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs".☆39Updated last year
- ☆43Updated 5 years ago
- NILE : Natural Language Inference with Faithful Natural Language Explanations☆30Updated 2 years ago