TY - GEN
T1 - Investigating Stylistic Profiles for the Task of Empathy Classification in Medical Narrative Essays
AU - Dey, Priyanka
AU - Girju, Roxana
N1 - Publisher Copyright:
© 2023 Association for Computational Linguistics.
PY - 2023
Y1 - 2023
N2 - One important aspect of language is how speakers generate utterances and texts to convey their intended meanings. In this paper, we bring various aspects of the Construction Grammar (CxG) and the Systemic Functional Grammar (SFG) theories in a deep learning computational framework to model empathic language. Our corpus consists of 440 essays written by premed students as narrated simulated patient–doctor interactions. We start with baseline classifiers (state-of-the-art recurrent neural networks and transformer models). Then, we enrich these models with a set of linguistic constructions proving the importance of this novel approach to the task of empathy classification for this dataset. Our results indicate the potential of such constructions to contribute to the overall empathy profile of first-person narrative essays.
AB - One important aspect of language is how speakers generate utterances and texts to convey their intended meanings. In this paper, we bring various aspects of the Construction Grammar (CxG) and the Systemic Functional Grammar (SFG) theories in a deep learning computational framework to model empathic language. Our corpus consists of 440 essays written by premed students as narrated simulated patient–doctor interactions. We start with baseline classifiers (state-of-the-art recurrent neural networks and transformer models). Then, we enrich these models with a set of linguistic constructions proving the importance of this novel approach to the task of empathy classification for this dataset. Our results indicate the potential of such constructions to contribute to the overall empathy profile of first-person narrative essays.
UR - http://www.scopus.com/inward/record.url?scp=85174520082&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174520082&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85174520082
T3 - CxGsNLP 2023 - 1st International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), Proceedings of the Conference
SP - 63
EP - 74
BT - CxGsNLP 2023 - 1st International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), Proceedings of the Conference
PB - Association for Computational Linguistics
T2 - 1st International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023), CxGsNLP 2023
Y2 - 9 March 2023 through 12 March 2023
ER -