FATE: a FrameNet-Annotated Corpus for Textual Entailment

Several studies indicate that the level of predicate-argument structure is relevant for modeling prevalent phenomena in current textual entailment corpora. Although large resources like FrameNet have recently become available, attempts to integrate this type of information into a system for textual entailment did not confirm the expected gain in performance. The reasons for this are not fully obvious; candidates include FrameNet's restricted coverage, limitations of semantic parsers, or insufficient modeling of FrameNet information. To enable further insight on this issue, in this paper we present FATE (FrameNet-Annotated Textual Entailment), a manually crafted, fully reliable frame-annotated RTE corpus. The annotation has been carried out over the 800 pairs of the RTE-2 test set. This dataset offers a safe basis for RTE systems to experiment, and enables researchers to develop clearer ideas on how to effectively integrate frame knowledge in semantic inferenence tasks like recogn...

• Type: Conference
• Year: 2008
• Where: LREC
• Authors: Aljoscha Burchardt, Marco Pennacchiotti
• Keywords: Education, FrameNet-Annotated Textual Entailment, LREC 2008, Textual Entailment, Textual Entailment Corpora