Victoria Zayats


2018

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Conversation Modeling on Reddit Using a Graph-Structured LSTM
Victoria Zayats | Mari Ostendorf
Transactions of the Association for Computational Linguistics, Volume 6

This paper presents a novel approach for modeling threaded discussions on social media using a graph-structured bidirectional LSTM (long-short term memory) which represents both hierarchical and temporal conversation structure. In experiments with a task of predicting popularity of comments in Reddit discussions, the proposed model outperforms a node-independent architecture for different sets of input features. Analyses show a benefit to the model over the full course of the discussion, improving detection in both early and late stages. Further, the use of language cues with the bidirectional tree state updates helps with identifying controversial comments.

2015

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Talking to the crowd: What do people react to in online discussions?
Aaron Jaech | Victoria Zayats | Hao Fang | Mari Ostendorf | Hannaneh Hajishirzi
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing

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Unediting: Detecting Disfluencies Without Careful Transcripts
Victoria Zayats | Mari Ostendorf | Hannaneh Hajishirzi
Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies