Complex Answer Generation For Conversational Search Systems.

Code for Does Structure Matter? Leveraging Data-to-Text Generation for Answering Complex Information Needs

Most of this code is based on Huggingface

Datasets

TREC CAR dataset is used: benchmarkY1test for testing and Large-scale training data for training. Download from : http://trec-car.cs.unh.edu/

Various adaptations are created using data_construction/make_data.py file. The data construction uses TREC CAR TOOLS (must be cloned/copied in data-contruction folder)

Models

cogecsea folder contains implementation of: a finetuned T5 (from huggingface), a sequential planning-model based on T5, and an end-to-end planning model using T5.