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- W3030670566 abstract "In this paper, we present the NUIG system at the TIAD shard task. This system includes graph-based metrics calculated using novel algorithms, with an unsupervised document embedding tool called ONETA and an unsupervised multi-way neural machine translation method. The results are an improvement over our previous system and produce the highest precision among all systems in the task as well as very competitive F-Measure results. Incorporating features from other systems should be easy in the framework we describe in this paper, suggesting this could very easily be extended to an even stronger result." @default.
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- W3030670566 date "2020-05-11" @default.
- W3030670566 modified "2023-10-18" @default.
- W3030670566 title "NUIG at TIAD: Combining Unsupervised NLP and Graph Metrics for Translation Inference." @default.
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