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Found 3 papers, 2 papers with code
DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
Recently, the Machine Translation (MT) community has become more interested in document-level evaluation especially in light of reactions to claims of “human parity”, since examining the quality at the level of the document rather than at the sentence level allows for the assessment of suprasentential context, providing a more reliable evaluation.
A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content
This paper describes the research developed at Unbabel, a Portuguese Machine-translation start-up, that combines MT with human post-edition and focuses strictly on customer service content.
Dialogue Quality and Emotion Annotations for Customer Support Conversations
Task-oriented conversational datasets often lack topic variability and linguistic diversity.
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