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Explanation-based learning and finite state transducers: applications to parsing lexicalized tree adjoining grammars
1996
Natural Language Engineering
Explanation-based Learning techniques have been applied in NLP for speeding up parsing in limited domains. In 7], we showed that combining the LTAG representation with the EBL technique provides a novel method for parsing based on a FST mechanism and demonstrated a speedup in parsing times on the ATIS corpus. In this paper, we extend that approach to account for cases of \long distance extractions" and show that the same FST mechanism can be used for these sentences as well.
doi:10.1017/s1351324997001642
fatcat:4yucashhbvgj5h4owfapehpcbi