GenGO: ACL Paper Explorer with Semantic Features
Sotaro Takeshita, Simone Ponzetto, Kai Eckert
Abstract
We present GenGO, a system for exploring papers published in ACL conferences. Paper data stored in our database is enriched with multi-aspect summaries, extracted named entities, a field of study label, and text embeddings by our data processing pipeline. These metadata are used in our web-based user interface to enable researchers to quickly find papers relevant to their interests, and grasp an overview of papers without reading full-text of papers. To make GenGO to be available online as long as possible, we design GenGO to be simple and efficient to reduce maintenance and financial costs. In addition, the modularity of our data processing pipeline lets developers easily extend it to add new features. We make our code available to foster open development and transparency: https://gengo.sotaro.io.
BibTeX
@inproceedings{takeshita-etal-2024-gengo,
title = "{G}en{GO}: {ACL} Paper Explorer with Semantic Features",
author = "Takeshita, Sotaro and
Ponzetto, Simone and
Eckert, Kai",
editor = "Cao, Yixin and
Feng, Yang and
Xiong, Deyi",
booktitle = "Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = aug,
year = "2024",
address = "Bangkok, Thailand",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.acl-demos.12/",
doi = "10.18653/v1/2024.acl-demos.12",
pages = "117--126"
}