TY - GEN
T1 - Using syntactic and semantic context to explore psychodemographic differences in self-reference
AU - Rouhizadeh, Masoud
AU - Ungar, Lyle
AU - Buffone, Anneke
AU - Andrew Schwartz, H.
N1 - Publisher Copyright:
© 2016 Association for Computational Linguistics
PY - 2016
Y1 - 2016
N2 - Psychological analysis of language has repeatedly shown that an individual's rate of mentioning 1st person singular pronouns predicts a wealth of important demographic and psychological factors. However, these analyses are performed out of context - syntactic and semantic - which may change the magnitude or even direction of such relationships. In this paper, we put “pronouns in their context”, exploring the relationship between self-reference and age, gender, and depression depending on syntactic position and verbal governor. We find that pronouns are overall more predictive when taking dependency relations and verb semantic categories into account, and, the direction of the relationship can change depending on the semantic class of the verbal governor.
AB - Psychological analysis of language has repeatedly shown that an individual's rate of mentioning 1st person singular pronouns predicts a wealth of important demographic and psychological factors. However, these analyses are performed out of context - syntactic and semantic - which may change the magnitude or even direction of such relationships. In this paper, we put “pronouns in their context”, exploring the relationship between self-reference and age, gender, and depression depending on syntactic position and verbal governor. We find that pronouns are overall more predictive when taking dependency relations and verb semantic categories into account, and, the direction of the relationship can change depending on the semantic class of the verbal governor.
UR - https://www.scopus.com/pages/publications/85070376414
U2 - 10.18653/v1/d16-1219
DO - 10.18653/v1/d16-1219
M3 - Conference contribution
AN - SCOPUS:85070376414
T3 - EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
SP - 2054
EP - 2059
BT - EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings
PB - Association for Computational Linguistics (ACL)
T2 - 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016
Y2 - 1 November 2016 through 5 November 2016
ER -