Mixing Semantic Networks and Conceptual Vectors Application to Hyperonymy  

Oleh:

Prince, Violaine ; Lafourcade, Mathieu

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Systems, Man, and Cybernetics: Part C Applications and Reviews vol. 36 no. 2 (Mar. 2006), page 152-160.
Topik: Cognitive Linguistics; Knowledge Representation; Natural Language Processing

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II69.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In this paper, we focus on lexical semantics, a key issue in natural language processing that tends to converge with conceptual knowledge representation and ontologies. When ontological representation is needed, hyperonymy, the closest approximation to the is-a relation, is at stake. In this paper we describe the principles of our vector model (conceptual vector model) and show how to account for hyperonymy within the vector-based frame for semantics. We show how hyperonymy diverges from is-a and what measures are more accurate for hyperonymy representation. Our demonstration results in initiating a cooperation process between semantic networks and conceptual vectors. Text automatic rewriting or enhancing, ontology mapping with natural language expressions, are examples of applications that can be derived from the functions we define in this paper.

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