Detecting Verbal Participation in Diathesis Alternations

We present a method for automatically identifying verbal participation in diathesis alternations. Automatically acquired subcategorization frames are compared to a hand-crafted classification for selecting candidate verbs. The minimum description length principle is then used to produce a model and cost for storing the head noun instances from a training corpus at the relevant argument slots. Alternating subcategorization frames are identified where the data from corresponding argument slotsin the respective frames can be combined to produce a cheaper model than that produced ifthe data is encoded separately.I.

• Type: Conference
• Year: 1998
• Where: ACL
• Authors: Diana McCarthy, Anna Korhonen
• Keywords: ACL 1998, ACL 2007, Head Noun Instances, Relevant Argument Slots, Subcategorization Frames