Clarifying Noun Phrase Semantics
Bibliographic Data
| ID | 22882127 |
|---|---|
| Authors | Matthew Purver (0000-0003-2297-1273, corresponding author) |
| Year | 2004 |
| Volume | 21 |
| Issue | 3 |
| Pages | 283-339 |
| Publication date | 2004-08-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Journal of Semantics (JOURNAL) |
| Journal identifiers | ISSN: 0167-5133 • E-ISSN: 1477-4593 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jos/21.3.283 |
| OpenAlex | W2042792287 |
| Language | EN |
| Citations received | 3 |
| References cited | 13 |
Reprise questions are a common dialogue device allowing a conversational participant to request clarification of the meaning intended by a speaker when uttering a word or phrase. As such they can act as semantic probes, providing us with information about what meaning can be associated with word and phrase types and thus helping to sharpen the principle of compositionality. This paper discusses the evidence provided by reprise questions concerning the meaning of nouns, noun phrases and determiners.
Atomic sentence · Determiner phrase · Linguistics · Meaning (existential) · Natural language processing · Noun · Noun phrase · Phrase · Principle of compositionality · Quantifier (linguistics) · Semantics (computer science) · Sentence · Specifier · Artificial Intelligence · Computer Science · Multi-Agent Systems and Negotiation · Natural Language Processing Techniques · Philosophy · Psychology · Syntax, Semantics, Linguistic Variation
Syntactic theory
Reference to Abstract Objects in Discourse
Quantification and Syntactic Theory
Speaker's Reference and Semantic Reference
The Proper Treatment of Quantification in Ordinary English
Referential and quantificational indefinites
The ZPG Letter
A semantic characterization of natural language determiners
Generalized quantifiers and natural language
Quantifier Scope
Reference and Definite Descriptions
Dynamic predicate logic
Reference to Kinds across Language
| Citations per year | 0.3 |
|---|---|
| Citation span | 2016 - 2025 (10) |
| Highly cited | No |