<?xml version="1.0" standalone="yes"?>
<Paper uid="W06-2611">
  <Title>Towards Free-text Semantic Parsing: A Unified Framework Based on FrameNet, VerbNet and PropBank</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This article describes a robust semantic parser that uses a broad knowledge base created by interconnecting three major resources: FrameNet, VerbNet and PropBank. The FrameNet corpus contains the examples annotated with semantic roles whereas the VerbNet lexicon provides the knowledge about the syntactic behavior of the verbs. We connect VerbNet and FrameNet by mapping the FrameNet frames to the VerbNet Intersective Levin classes. The PropBank corpus, which is tightly connected to the VerbNet lexicon, is used to increase the verb coverage and also to test the effectiveness of our approach.</Paragraph>
    <Paragraph position="1"> The results indicate that our model is an interesting step towards the design of free-text semantic parsers.</Paragraph>
  </Section>
class="xml-element"></Paper>