Acquiring the Meaning of Discourse Markers

This paper applies machine learning techniques to acquiring aspects of the meaning of discourse markers. Three subtasks of acquiring the meaning of a discourse marker are considered: learning its polarity, veridicality, and type (i.e. causal, temporal or additive). Accuracy of over 90% is achieved for all three tasks, well above the baselines.

• Type: Conference
• Year: 2004
• Where: ACL
• Authors: Ben Hutchinson
• Keywords: ACL 2004, ACL 2007, Discourse Marker