Fragkiskos Malliaros


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Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification
Konstantinos Skianis | Fragkiskos Malliaros | Michalis Vazirgiannis
Proceedings of the Twelfth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-12)

Contrary to the traditional Bag-of-Words approach, we consider the Graph-of-Words(GoW) model in which each document is represented by a graph that encodes relationships between the different terms. Based on this formulation, the importance of a term is determined by weighting the corresponding node in the document, collection and label graphs, using node centrality criteria. We also introduce novel graph-based weighting schemes by enriching graphs with word-embedding similarities, in order to reward or penalize semantic relationships. Our methods produce more discriminative feature weights for text categorization, outperforming existing frequency-based criteria.


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A Graph Degeneracy-based Approach to Keyword Extraction
Antoine Tixier | Fragkiskos Malliaros | Michalis Vazirgiannis
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing