From 83b479ff8034e21926a8a8d7211111b873598072 Mon Sep 17 00:00:00 2001
From: Mateusz Klimaszewski <mklimasz@e-science.pl>
Date: Thu, 4 Nov 2021 15:09:00 +0000
Subject: [PATCH] Update README.md with EMNLP bibtex.
---
README.md | 25 ++++++++++++++-----------
1 file changed, 14 insertions(+), 11 deletions(-)
diff --git a/README.md b/README.md
index 76e436b..ce43fb4 100644
--- a/README.md
+++ b/README.md
@@ -42,21 +42,24 @@ We encourage you to use the [beginner's tutorial](https://colab.research.google.
## Citing
-### Accepted at EMNLP'21 demo session :tada: :fire:
-
-If you use COMBO in your research, please cite [COMBO: State-of-the-Art Morphosyntactic Analysis](https://arxiv.org/abs/2109.05361)
+If you use COMBO in your research, please cite [COMBO: State-of-the-Art Morphosyntactic Analysis](https://aclanthology.org/2021.emnlp-demo.7)
```bibtex
-@misc{klimaszewski2021combo,
- title={COMBO: State-of-the-Art Morphosyntactic Analysis},
- author={Mateusz Klimaszewski and Alina Wróblewska},
- year={2021},
- eprint={2109.05361},
- archivePrefix={arXiv},
- primaryClass={cs.CL}
+@inproceedings{klimaszewski-wroblewska-2021-combo-state,
+ title = "{COMBO}: State-of-the-Art Morphosyntactic Analysis",
+ author = "Klimaszewski, Mateusz and
+ Wr{\'o}blewska, Alina",
+ booktitle = "Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+ month = nov,
+ year = "2021",
+ address = "Online and Punta Cana, Dominican Republic",
+ publisher = "Association for Computational Linguistics",
+ url = "https://aclanthology.org/2021.emnlp-demo.7",
+ pages = "50--62",
+ abstract = "We introduce COMBO {--} a fully neural NLP system for accurate part-of-speech tagging, morphological analysis, lemmatisation, and (enhanced) dependency parsing. It predicts categorical morphosyntactic features whilst also exposes their vector representations, extracted from hidden layers. COMBO is an easy to install Python package with automatically downloadable pre-trained models for over 40 languages. It maintains a balance between efficiency and quality. As it is an end-to-end system and its modules are jointly trained, its training is competitively fast. As its models are optimised for accuracy, they achieve often better prediction quality than SOTA. The COMBO library is available at: https://gitlab.clarin-pl.eu/syntactic-tools/combo.",
}
```
-If you use an EUD module in your research, please cite [COMBO: A New Module for EUD Parsing](https://aclanthology.org/2021.iwpt-1.16/)
+If you use an EUD module in your research, please cite [COMBO: A New Module for EUD Parsing](https://aclanthology.org/2021.iwpt-1.16)
```bibtex
@inproceedings{klimaszewski-wroblewska-2021-combo,
title = "{COMBO}: A New Module for {EUD} Parsing",
--
GitLab