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Unified Examination of Entity Linking in Absence of Candidate Sets
Nicolas Ong, Hassan Shavarani, Anoop Sarkar
Despite remarkable strides made in the development of entity linking systems in recent years, a comprehensive comparative analysis of these systems using a unified framework is not…
SpEL: Structured Prediction for Entity Linking
Hassan S. Shavarani, Anoop Sarkar
Entity linking is a prominent thread of research focused on structured data creation by linking spans of text to an ontology or knowledge source. We revisit the use of structured p…
Better Neural Machine Translation by Extracting Linguistic Information from BERT
Hassan S. Shavarani, Anoop Sarkar
Adding linguistic information (syntax or semantics) to neural machine translation (NMT) has mostly focused on using point estimates from pre-trained models. Directly using the capa…
Pointer-based Fusion of Bilingual Lexicons into Neural Machine Translation
Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
Neural machine translation (NMT) systems require large amounts of high quality in-domain parallel corpora for training. State-of-the-art NMT systems still face challenges related t…
Multi-class Multilingual Classification of Wikipedia Articles Using Extended Named Entity Tag Set
Hassan S. Shavarani, Satoshi Sekine
Wikipedia is a great source of general world knowledge which can guide NLP models better understand their motivation to make predictions. Structuring Wikipedia is the initial step…
Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū, Hassan S. Shavarani, Anoop Sarkar
The addition of syntax-aware decoding in Neural Machine Translation (NMT) systems requires an effective tree-structured neural network, a syntax-aware attention model and a languag…