Distinguishing Address vs. Reference Mentions of Personal Names in Text

Vinodkumar Prabhakaran, Aida Mostafazadeh Davani, Melissa Ferguson, Stav Atir

Findings: Discourse and Pragmatics Findings Paper

Session 4: Discourse and Pragmatics (Virtual Poster)
Conference Room: Pier 7&8
Conference Time: July 11, 11:00-12:30 (EDT) (America/Toronto)
Global Time: July 11, Session 4 (15:00-16:30 UTC)
Spotlight Session: Spotlight - Metropolitan West (Spotlight)
Conference Room: Metropolitan West
Conference Time: July 10, 19:00-21:00 (EDT) (America/Toronto)
Global Time: July 10, Spotlight Session (23:00-01:00 UTC)
TLDR: Detecting named entities in text has long been a core NLP task. However, not much work has gone into distinguishing whether an entity mention is addressing the entity vs. referring to the entity; e.g., \textit{John, would you turn the light off?} vs. \textit{John turned the light off}. While this di...
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Abstract: Detecting named entities in text has long been a core NLP task. However, not much work has gone into distinguishing whether an entity mention is addressing the entity vs. referring to the entity; e.g., \textit{John, would you turn the light off?} vs. \textit{John turned the light off}. While this distinction is marked by a \textit{vocative case} marker in some languages, many modern Indo-European languages such as English do not use such explicit vocative markers, and the distinction is left to be interpreted in context. In this paper, we present a new annotated dataset that captures the \textit{address} vs. \textit{reference} distinction in English, an automatic tagger that performs at 85\% accuracy in making this distinction, and demonstrate how this distinction is important in NLP and computational social science applications in English language.