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

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

Conversation Analysis Annotation Schema for Computational Modelling of Dialogue

Utilities for Processing the BT Oasis Corpus

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.

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

Dialogue Act Tagging

Two Conditional Random Field Taggers for the Switchboard corpus.

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

Dialogue