PhilArchive
open access
Compositionality and Complexity in Multiple Negation
This paper considers negative triggers and the interpretation of simple sentences containing more than one occurrence of those items. In the most typical interpretations those sentences have more negative expressions than negations in their semantic representation. It is first shown that this compositionality problem remains in current approaches. A principled algorithm for deriving the representation of sentences with multiple negative quantifiers in a DRT framework is then introduced. The algorithm is under the control of an on-line check-in, keeping the complexity of negation auto-embedding below a threshold of complexity. This mechanism is seen as a competence limitation imposing the ‘abrogation of compositionality’ observed in the so-called negative concord readings. A solution to the compositionality problem is thus proposed, which is based on a control on the processing input motivated by a limitation of the processing mechanism itself.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Higher-Order Quantification and the Elimination of Abstract Objects#731098
- The Auto-Negation of Judgement: When Attribution Dismantles Its Own Conditions#87366
- A Modality Called ‘Negation’#700664
- Negative Word Production in Bilinguals Triggers Inhibitory Mechanisms: Evidence from Mass Univariate Time-Frequency Analysis#928468
- Negative Word Production in Bilinguals Triggers Inhibitory Mechanisms: Evidence from Mass Univariate Time-Frequency Analysis#928086
Record · ID 712009
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive