This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Utilities for Processing the Switchboard Dialogue Act Corpus

Utilities for Processing the Meeting Recorder Dialogue Act Corpus

Code for EMNLP 2019 paper "Modeling Multi-Action Policy for Task-Oriented Dialogues"

Label dialogue with Dialogue Acts and Adjacency Pairs

Utilities for Processing the HCRC Map Task Corpus

DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model

Conversation Analysis Annotation Schema for Computational Modelling of Dialogue

A medical dialogue annotation tool that supports multi-level annotation for doctor-patient conversations, including named entities, dialog intents, and medical reports.

This Google Collab notebook uses nltk and sklearn to classify the dialogue act in a sentence. The model is trained on the NPS Chat Corpus.

Utilities for Processing the BT Oasis Corpus

Two Conditional Random Field Taggers for the Switchboard corpus.

Works of NTCIR14 STC-3 Nugget Detection & Dialogue Quality tasks

Dialogue Act Tagging

Data and code for the paper "LEDA: a Large-Organization Email-Based Decision-Dialogue-Act Analysis Dataset" at ACL 2023

Dialogue