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Hits 1 – 11 of 11

1
How does Attention Affect the Model? ...
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2
Exploiting Position Bias for Robust Aspect Sentiment Classification ...
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3
A Generalized Language Model in Tensor Space ...
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4
A quantum-inspired sentiment representation model for twitter sentiment analysis
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5
Quantum-inspired Complex Word Embedding
Uprety, Sagar; Li, Qiuchi; Song, Dawei. - : Association for Computational Linguistics, 2018
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6
Characterizing pure high-order entanglements in lexical semantic spaces via information geometry
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7
Towards operational abduction from a cognitive perspective
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8
Information flow analysis with Chinese text
Cheong, Paulo; Song, Dawei; Bruza, Peter. - : Springer Verlag, 2005
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9
A Correlation Analysis on LSA and HAL Semantic Space Models
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10
Fuzzy K-means clustering on a high dimensional semantic space
Cao, Guihong; Song, Dawei; Bruza, Peter. - : Springer Verlag, 2004
Abstract: One way of representing semantics is via a high dimensional conceptual space constructed from lexical co-occurrence. Concepts (words) are represented as a vector whereby the dimensions are other words. As the words are represented as dimensional objects, clustering techniques can be applied to compute word clusters. Conventional clustering algorithms, e.g., the K-means method, however, normally produce crisp clusters, i.e., an object is assigned to only one cluster. This is sometimes not desirable. Therefore, a fuzzy membership function can be applied to the K-Means clustering, which models the degree of an object belonging to certain cluster. This paper introduces a fuzzy k-means clustering algorithm and how it is used to word clustering on the high dimensional semantic space constructed by a cognitively motivated semantic space model, namely Hyperspace Analogue to Language. A case study demonstrates the method is promising.
Keyword: 1700 Computer Science; 2614 Theoretical Computer Science
URL: https://espace.library.uq.edu.au/view/UQ:5605a13
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11
Towards context sensitive information inference
In: American Society for Information Science and Technology. Journal of the American Society for Information Science and Technology. - New York, NY : Wiley 54 (2003) 4, 321-334
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