README.md

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

Long Paper Accepted at the EMNLP 2022 Main Conference!

Paper: https://aclanthology.org/2022.emnlp-main.748/

Poster: https://rajdeep345.github.io/files/pdf/research/ECTSum_EMNLP2022_Poster.pdf

Pre-recorded Video: https://drive.google.com/file/d/1DW2i2ApgiE6V7ViiayX5zdJSRXdAEbsy/view

Dataset

The ECTSum dataset can be found under the data folder.

Codes

Codes and instructions for our proposed model ECT-BPS can be found under codes/ECT-BPS
Codes and instructions for our baseline models can be found under codes/baselines

Data Preparation for ECT-BPS

Preparing the data for training the Extractive Module

Imports

pip install sentence-transformers
pip install num2words
pip install word2number

Prepare the data

python prepare_data_ectbps_ext.py

Data Location

The data is saved at codes/ECT-BPS/ectbps_ext/data/.
Processed data is already uploaded at this location.

Preparing the data for training the Paraphrasing Module

Imports

pip install sentence-transformers
pip install num2words
pip install word2number

Prepare the data

python prepare_data_ectbps_para.py

Data Location

The data is saved at codes/ECT-BPS/ectbps_para/data/para/.
Processed data is already uploaded at this location.

Prepare the data with numericals masked

python prepare_data_ectbps_para_mask.py

Data Location

The data is saved at codes/ECT-BPS/ectbps_para/data/para_mask/.
Processed data is already uploaded at this location.

Updates

1st November 2022 - ECTSum Dataset released

30th November 2022 - Codes and Instructions released for training the Extractive Module of ECT-BPS

3rd March 2023 - Added the Prediction Pipeline for the Extractive module.

5th March 2023 - Codes released to prepare the data for training the Paraphrasing Module

7th March 2023 - Codes released to train the Paraphrasing Module of ECT-BPS

8th March 2023 - Google Colab Notebook released for training and testing the Paraphrasing Module