Noriko Tomuro
Biographic Data
| ID | 6536266 |
|---|---|
| NAME | Noriko Tomuro |
| GIVEN NAMES | Noriko |
| FAMILY NAME | Tomuro |
| SIGNATURE | TOMURO N |
| AFFILIATIONS | DePaul University |
| ORCID | 0009-0009-8673-5078 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2004 |
| H-INDEX | 0 |
Question terminology and representation for question type classification
Question terminology is a set of terms which appear in keywords, idioms and fixed expressions commonly observed in questions. This paper investigates ways to automatically extract question terminology from a corpus of questions and represent them for the purpose of classifying by question type . Our key interest is to see whether or not semantic features can enhance the representation of strongly lexical nature of question sentences. We compare t…
Nonminimal Derivations in Unification-based Parsing
Shieber's abstract parsing algorithm (Shieber 1992) for unification grammars is an extension of Earley's algorithm (Earley 1970) for context-free grammars to feature structures. In this paper, we show that, under certain conditions, Shieber's algorithm produces what we call a nonminimal derivation: a parse tree which contains additional features that are not in the licensing productions. While Shieber's definition of parse tree allows for such no…
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Nonminimal Derivations in Unification-based Parsing
Shieber's abstract parsing algorithm (Shieber 1992) for unification grammars is an extension of Earley's algorithm (Earley 1970) for context-free grammars to feature structures. In this paper, we show that, under certain conditions, Shieber's algorithm produces what we call a nonminimal derivation: a parse tree which contains additional features that are not in the licensing productions. While Shieber's definition of parse tree allows for such no…
Question terminology and representation for question type classification
Question terminology is a set of terms which appear in keywords, idioms and fixed expressions commonly observed in questions. This paper investigates ways to automatically extract question terminology from a corpus of questions and represent them for the purpose of classifying by question type . Our key interest is to see whether or not semantic features can enhance the representation of strongly lexical nature of question sentences. We compare t…
Artificial Intelligence (2 works) · Computer Science (2 works) · Linguistics (2 works) · Mathematics (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Programming language (2 works) · Algorithm (1 work) · Combinatorics (1 work) · Context (archaeology (1 work)