@inproceedings{renslow-neumann-2018-lightrel,
title = "{L}ight{R}el at {S}em{E}val-2018 Task 7: Lightweight and Fast Relation Classification",
author = {Renslow, Tyler and
Neumann, G{\"u}nter},
editor = "Apidianaki, Marianna and
Mohammad, Saif M. and
May, Jonathan and
Shutova, Ekaterina and
Bethard, Steven and
Carpuat, Marine",
booktitle = "Proceedings of the 12th International Workshop on Semantic Evaluation",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/S18-1123/",
doi = "10.18653/v1/S18-1123",
pages = "778--782",
abstract = "We present LightRel, a lightweight and fast relation classifier. Our goal is to develop a high baseline for different relation extraction tasks. By defining only very few data-internal, word-level features and external knowledge sources in the form of word clusters and word embeddings, we train a fast and simple linear classifier"
}
Markdown (Informal)
[LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification](https://preview.aclanthology.org/jlcl-multiple-ingestion/S18-1123/) (Renslow & Neumann, SemEval 2018)
ACL