Jonathan T. Morgan, Meghan Oxley, Emily M. Bender, Liyi Zhu, V. Gracheva, M. Zachry
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引用次数: 8
Abstract
We present the AAWD and AACD corpora, a collection of discussions drawn from Wikipedia talk pages and small group IRC discussions in English, Russian and Mandarin. Our datasets are annotated with labels capturing two kinds of social acts: alignment moves and authority claims. We describe these social acts, describe our annotation process, highlight challenges we encountered and strategies we employed during annotation, and present some analyses of resulting data set which illustrate the utility of our corpus and identify interactions among social acts and between participant status and social acts and in online discourse.
期刊介绍：
D&D seeks previously unpublished, high quality articles on the analysis of discourse and dialogue that contain -experimental and/or theoretical studies related to the construction, representation, and maintenance of (linguistic) context -linguistic analysis of phenomena characteristic of discourse and/or dialogue (including, but not limited to: reference and anaphora, presupposition and accommodation, topicality and salience, implicature, ---discourse structure and rhetorical relations, discourse markers and particles, the semantics and -pragmatics of dialogue acts, questions, imperatives, non-sentential utterances, intonation, and meta--communicative phenomena such as repair and grounding) -experimental and/or theoretical studies of agents'' information states and their dynamics in conversational interaction -new analytical frameworks that advance theoretical studies of discourse and dialogue -research on systems performing coreference resolution, discourse structure parsing, event and temporal -structure, and reference resolution in multimodal communication -experimental and/or theoretical results yielding new insight into non-linguistic interaction in -communication -work on natural language understanding (including spoken language understanding), dialogue management, -reasoning, and natural language generation (including text-to-speech) in dialogue systems -work related to the design and engineering of dialogue systems (including, but not limited to: -evaluation, usability design and testing, rapid application deployment, embodied agents, affect detection, -mixed-initiative, adaptation, and user modeling). -extremely well-written surveys of existing work. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers on discourse and dialogue and its associated fields, including computer scientists, linguists, psychologists, philosophers, roboticists, sociologists.
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