This repository contains the dataset released in the paper: My Heart Skipped a Beat! Recognizing Expressions of Embodied Emotion in Natural Language.
Dataset: The training, development and test data can be found in the data directory. Each data file is a json file, where instances are stored in a list. An instance contains a target body part to classify, and it is represented by a dictionary with the following keys and values:
label: the gold label produced by human annotators. It is either Embodied Emotion or Neutral.tokens: a list of tokens of the sentence that contains the target body part mention.lemmatized_tokens: a list of lemmatized tokens of the sentence that contains the target body part mention.body_part_token_idx: the index of the target body part mention in tokens. The index starts from 0.preceding_context_tokens: tokens of the preceding sentences, which are stored in a nested list.preceding_context_lemmatized_tokens: lemmatized tokens of the preceding sentences.
If you have any questions regarding our paper or codes, please contact the author via the email: [email protected]
Please cite our work if you use it in your research.
@inproceedings{zhuang-etal-2024-heart,
title = "My Heart Skipped a Beat! Recognizing Expressions of Embodied Emotion in Natural Language",
author = "Zhuang, Yuan and Jiang, Tianyu and Riloff, Ellen",
editor = "Duh, Kevin and Gomez, Helena and Bethard, Steven",
booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)",
month = jun,
year = "2024",
address = "Mexico City, Mexico",
publisher = "Association for Computational Linguistics",
}