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CICLING
2003
Springer
15 years 2 months ago
A Maximum Entropy Approach for Spoken Chinese Understanding
: In this paper, we present a spoken language understanding method based on the maximum entropy model. We first extract certain features from the corpus, and then train the maximum...
Guodong Xie, Chengqing Zong, Bo Xu
IJCNLP
2005
Springer
15 years 3 months ago
PP-Attachment Disambiguation Boosted by a Gigantic Volume of Unambiguous Examples
We present a PP-attachment disambiguation method based on a gigantic volume of unambiguous examples extracted from raw corpus. The unambiguous examples are utilized to acquire prec...
Daisuke Kawahara, Sadao Kurohashi
INLG
2010
Springer
14 years 7 months ago
Harvesting Re-usable High-level Rules for Expository Dialogue Generation
This paper proposes a method for extracting high-level rules for expository dialogue generation. The rules are extracted from dialogues that have been authored by expert dialogue ...
Svetlana Stoyanchev, Paul Piwek
AAAI
2007
15 years 1 days ago
Learning Language Semantics from Ambiguous Supervision
This paper presents a method for learning a semantic parser from ambiguous supervision. Training data consists of natural language sentences annotated with multiple potential mean...
Rohit J. Kate, Raymond J. Mooney
EACL
2003
ACL Anthology
14 years 11 months ago
Automatic Acquisition of Script Knowledge from a Text Collection
In this paper, we describe a method for automatic acquisition of script knowledge from a Japanese text collection. Script knowledge represents a typical sequence of actions that o...
Toshiaki Fujiki, Hidetsugu Nanba, Manabu Okumura