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Found 4 papers, 0 papers with code
An LSTM-Based Deep Learning Approach for Detecting Self-Deprecating Sarcasm in Textual Data
Self-deprecating sarcasm is a special category of sarcasm, which is nowadays popular and useful for many real-life applications, such as brand endorsement, product campaign, digital marketing, and advertisement.
DRCoVe: An Augmented Word Representation Approach using Distributional and Relational Context
In this paper, we propose a novel word representation approach using distributional and relational contexts, DRCoVe, which augments the distributional representation of a word using the relational semantics extracted as syntactic and semantic association among entities from the underlying corpus.
A Comprehensive Empirical Evaluation of Existing Word Embedding Approaches
Vector-based word representations help countless Natural Language Processing (NLP) tasks capture the language's semantic and syntactic regularities.
A Novel Weighted Distance Measure for Multi-Attributed Graph
We have also proposed a MAGDist algorithm, which reads multi-attributed graph stored in CSV files containing the list of vertex vectors and edge vectors, and calculates the distance between each vertex-pair using the proposed weighted distance measure.
