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• W2155707639 abstract "Computational processing of text exchanged in interactive venues in which participants engage in simultaneous conversations can benefit from techniques for automatically grouping overlapping sequences of messages into separate conversations, a problem known as disentanglement. While previous methods exploit both lexical and non-lexical information that exists in conversations for this task, the inter-dependency between the meaning of a message and its temporal and social contexts is largely ignored. Our approach exploits contextual properties (both explicit and hidden) to probabilistically expand each message to provide a more accurate message representation. Extensive experimental evaluations show our approach outperforms the best previously known technique." @default.
• W2155707639 created "2016-06-24" @default.
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• W2155707639 date "2009-01-01" @default.
• W2155707639 modified "2023-10-06" @default.
• W2155707639 title "Context-based message expansion for disentanglement of interleaved text conversations" @default.
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• W2155707639 doi "https://doi.org/10.3115/1620754.1620783" @default.
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