Hagyeong Shin


2024

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Do language models capture implied discourse meanings? An investigation with exhaustivity implicatures of Korean morphology
Hagyeong Shin | Sean Trott
Proceedings of the Society for Computation in Linguistics 2024

2018

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Alignment, Acceptance, and Rejection of Group Identities in Online Political Discourse
Hagyeong Shin | Gabriel Doyle
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop

Conversation is a joint social process, with participants cooperating to exchange information. This process is helped along through linguistic alignment: participants’ adoption of each other’s word use. This alignment is robust, appearing many settings, and is nearly always positive. We create an alignment model for examining alignment in Twitter conversations across antagonistic groups. This model finds that some word categories, specifically pronouns used to establish group identity and common ground, are negatively aligned. This negative alignment is observed despite other categories, which are less related to the group dynamics, showing the standard positive alignment. This suggests that alignment is strongly biased toward cooperative alignment, but that different linguistic features can show substantially different behaviors.