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Weakly-Supervised Neural Response Selection from an Ensemble of Task-Specialised Dialogue Agents
Dialogue engines that incorporate different types of agents to converse with humans are popular.
Multi-Task Learning with Contextualized Word Representations for Extented Named Entity Recognition
The current state-of-the-art (SOTA) model for FG-NER relies heavily on manual efforts for building a dictionary and designing hand-crafted features.
An Empirical Study on Fine-Grained Named Entity Recognition
However, there is little research on fine-grained NER (FG-NER), in which hundreds of named entity categories must be recognized, especially for non-English languages.
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