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NER-MQMRC: Formulating Named Entity Recognition as Multi Question Machine Reading Comprehension
We propose posing NER as a multi-question MRC task, where multiple questions (one question per entity) are considered at the same time for a single text.
Discovering Emotion and Reasoning its Flip in Multi-Party Conversations using Masked Memory Network and Transformer
Therefore, discovering the reasons (triggers) behind the speaker's emotion-flip during a conversation is essential to explain the emotion labels of individual utterances.
Attention Beam: An Image Captioning Approach
The aim of image captioning is to generate textual description of a given image.
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