Paper: Context-based Message Expansion for Disentanglement of Interleaved Text Conversations

ACL ID N09-1023
Title Context-based Message Expansion for Disentanglement of Interleaved Text Conversations
Venue Human Language Technologies
Session Main Conference
Year 2009
Authors

Computational processing of text exchanged in interactive venues in which participants en- gage in simultaneous conversations can bene- fit from techniques for automatically grouping overlapping sequences of messages into sepa- rate conversations, a problem known as “dis- entanglement.” While previous methods ex- ploit 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 con- textual properties (both explicit and hidden) to probabilistically expand each message to provide a more accurate message representa- tion. Extensive experimental evaluations show our approach outperforms the best previously known technique.