148 citations · 781 across the 44 of their papers we have counts for
7 papers · 1 filter
Neural Cross-Lingual Entity Linking
Avirup Sil, Gourab Kundu, Radu Florian +1
A major challenge in Entity Linking (EL) is making effective use of contextual information to disambiguate mentions to Wikipedia that might refer to different entities in different…
One for All: Towards Language Independent Named Entity Linking
Avirup Sil, Radu Florian
Entity linking (EL) is the task of disambiguating mentions in text by associating them with entries in a predefined database of mentions (persons, organizations, etc). Most previou…
Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection
Jian Ni, Georgiana Dinu, Radu Florian
The state-of-the-art named entity recognition (NER) systems are supervised machine learning models that require large amounts of manually annotated data to achieve high accuracy. H…
Improving Multilingual Named Entity Recognition with Wikipedia Entity Type Mapping
Jian Ni, Radu Florian
The state-of-the-art named entity recognition (NER) systems are statistical machine learning models that have strong generalization capability (i.e., can recognize unseen entities…
Improving Slot Filling Performance with Attentive Neural Networks on Dependency Structures
Lifu Huang, Avirup Sil, Heng Ji +1
Slot Filling (SF) aims to extract the values of certain types of attributes (or slots, such as person:cities\_of\_residence) for a given entity from a large collection of source do…
Reinforcement Learning for Transition-Based Mention Detection
Georgiana Dinu, Wael Hamza, Radu Florian
This paper describes an application of reinforcement learning to the mention detection task. We define a novel action-based formulation for the mention detection task, in which a m…