Statistical approaches to semantic parsing have recently received considerable attention. However, most of this research has concentrated on supervised methods requiring large amounts of labeled data. These approaches cluster semantically equivalent verbalizations of relations, often relying on syntactic fragments as features for relation extraction and clustering (Lin and Pantel, 2001; Banko et al., 2007) . The success of these methods suggests that semantic parsing can also be tackled as clustering of syntactic realizations of predicate-argument relations. While a similar direction has been previously explored in (Swier and Stevenson, 2004; Abend et al., 2009; Lang and Lapata, 2010) , the recent work of <cite>(Poon and Domingos, 2009</cite> ) takes it one step further by not only predicting predicate-argument structure of a sentence but also assigning sentence fragments to clusters of semantically similar expressions.