EZCAT: an Easy Conversation Annotation Tool

In this paper, we present EZCAT, an easy-to-use interface to annotate conversations in a two-level configurable schema, leveraging message-level labels and conversation-level labels at once.

Few-Shot Emotion Recognition in Conversation with Sequential Prototypical Networks

In this work we present ProtoSeq, an adaptation of the Prototypical Networks to enable dealing with sequences in a few-shot learning way, reducing the need for labeling confidential data. [...]

When Collaborative Treebank Curation Meets Graph Grammars

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