1 research outputs found
Acquisition of Phrase Correspondences using Natural Deduction Proofs
How to identify, extract, and use phrasal knowledge is a crucial problem for
the task of Recognizing Textual Entailment (RTE). To solve this problem, we
propose a method for detecting paraphrases via natural deduction proofs of
semantic relations between sentence pairs. Our solution relies on a graph
reformulation of partial variable unifications and an algorithm that induces
subgraph alignments between meaning representations. Experiments show that our
method can automatically detect various paraphrases that are absent from
existing paraphrase databases. In addition, the detection of paraphrases using
proof information improves the accuracy of RTE tasks.Comment: 11 pages, 4 figures, accepted as long paper of NAACL HLT 201