(Enter summary)
Abstract: Our goal is to identify the features that predict
the occurrence and placement of discourse
cues in tutorial explanations in order
to aid in the automatic generation of
explanations. Previous attempts to devise
rules for text generation were based on intuition
or small numbers of constructed examples.
We apply a machine learning program,
C4.5, to induce decision trees for cue
occurrence and placement from a corpus of
data coded for a variety of features previously
thought to affect cue usage.... (Update)
Context of citations to this paper: More
.... examined the relationship between particular words and phrases and discourse structure as well [Reichman, 1981, Dahlgren, 1996, DiEugenio et al. 1997] Cue words play an important role in the discourse segmentation work of Hirschberg and Litman, among others. They present a...
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BibTeX entry: (Update)
DiEugenio, B., Moore, J., and Paolucci, M. (1997). Learning features that predict cue usage. In Proceedings of the 35 Annual Meeting of the Association for Computational Linguistics, pages 80--87, Madrid. http://citeseer.ist.psu.edu/article/dieugenio97learning.html More
@inproceedings{ dieugenio97learning,
author = "Barbara Dieugenio and Johanna D. Moore and Massimo Paolucci",
title = "Learning Features that Predict Cue Usage",
booktitle = "Proceedings of the Thirty-Fifth Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics and Eighth Conference of the {E}uropean Chapter of the {A}ssociation for {C}omputational {L}inguistics",
publisher = "Association for Computational Linguistics",
address = "Somerset, New Jersey",
editor = "Philip R. Cohen and Wolfgang Wahlster",
pages = "80--87",
year = "1997",
url = "citeseer.ist.psu.edu/article/dieugenio97learning.html" }
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