Search Results for author:
Found 4 papers, 2 papers with code
Reducing Length Bias in Scoring Neural Machine Translation via a Causal Inference Method
In this paper we handle the length bias problem through a perspective of causal inference.
Reduce Indonesian Vocabularies with an Indonesian Sub-word Separator
Indonesian is an agglutinative language since it has a compounding process of word-formation.
Exploring Explainable Selection to Control Abstractive Summarization
A novel pair-wise matrix captures the sentence interactions, centrality, and attribute scores, and a mask with tunable attribute thresholds allows the user to control which sentences are likely to be included in the extraction.
Concept Pointer Network for Abstractive Summarization
A quality abstractive summary should not only copy salient source texts as summaries but should also tend to generate new conceptual words to express concrete details.
Ranked #20 on
Text Summarization
on GigaWord
