Since the arguments can provide useful semantic information , the SRL is crucial to many natural language processing tasks , such as Question and Answering ( Narayanan and Harabagiu 2004 ) , Information Extraction ( Surdeanu et al. 2003 ) , and Machine Translation ( Boas 2002 ) .
question answering based on semantic structures
Srini Narayanan Sanda Harabagiu
Typical tags include Agent , Patient , Source , etc. and some adjuncts such as Temporal , Manner , Extent , etc. . Since the arguments can provide useful semantic information , the SRL is crucial to many natural language processing tasks , such as Question and Answering ( Narayanan and Harabagiu 2004 ) , Information Extraction ( Surdeanu et al. 2003 ) , and Machine Translation ( Boas 2002 ) . With the efforts of many researchers ( Carreras and MÃ rquez 2004 , 2005 , Moschitti 2004 , Pradhan et al 2005 , Zhang et al 2007 ) , different machine learning methods and linguistics resources are applied in this task , which has made SRL task progress fast .
Since the arguments can provide useful semantic information , the SRL is crucial to many natural language processing tasks , such as Question and Answering ( @@CITATION ) , Information Extraction ( Surdeanu et al. 2003 ) , and Machine Translation ( Boas 2002 ) .