ON REPRESENTING GOVERNED PREPOSITIONS AND HANDLING "INCORRECT" AND NOVEL PREPOSITIONS Hatte R. Blejer, Sharon Flank, and A n d r e w K c h l e r SRA Corporation 2000 15th St. N o r t h Arlington, VA 22201, USA ABSTRACT NLP systems, in order to be robust, must h a n d l e novel a n d ill-formed input. One c o m m o n type of error involves the use of n o n - s t a n d a r d prepositions to m a r k arguments. In this paper, we.