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Enza Messina

LearningToAdapt with word embeddings: Domain adaptation of Named Entity Recognition systems
Which Matters Most? Comparing the Impact of Concept and Document Relationships in Topic Models
CAGE: Constrained deep Attributed Graph Embedding
Word Embeddings for Unsupervised Named Entity Linking
UNIMIB@ NEEL-IT: Named Entity Recognition and Linking of Italian Tweets
Adapting Named Entity Types to New Ontologies in a Microblogging Environment
A Multi-View Sentiment Corpus
Towards adaptation of named entity classification
TWINE: A real-time system for TWeet analysis via INformation Extraction
Deep learning and ensemble methods for Domain Adaptation
Unsupervised Irony Detection: A Probabilistic Model with Word Embeddings
A latent representation model for sentiment analysis in heterogeneous social networks