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Related Papers

Representing Text for Joint Embedding of Text and Knowledge Bases

Authors: nan

Publication: TIPSTER (2015)

DOI: nan

Models that learn to represent textual and knowledge base relations in the same con- tinuous latent space are able to perform joint inferences among the two kinds of re- lations …...

34477

NLITrans at SemEval-2018 Task 12: Transfer of Semantic Knowledge for Argument Comprehension

Authors: nan

Publication: TIPSTER (2018)

DOI: nan

AbstractThe Argument Reasoning Comprehension Task is a difficult challenge requiring significant language understanding and complex reasoning over world knowledge. We focus on transfer of a sentence encoder to bootstrap more …...

25941

Improving Speech Translation by Understanding and Learning from the Auxiliary Text Translation Task

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractPretraining and multitask learning are widely used to improve the speech translation performance. In this study, we are interested in training a speech translation model along with an auxiliary text …...

8456

On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractAdapter-based tuning has recently arisen as an alternative to fine-tuning. It works by adding light-weight adapter modules to a pretrained language model (PrLM) and only updating the parameters of adapter …...

8707

An Empirical Study of Leveraging Knowledge Distillation for Compressing Multilingual Neural Machine Translation Models

Authors: nan

Publication: TIPSTER (2023)

DOI: nan

AbstractKnowledge distillation (KD) is a well-known method for compressing neural models. However, works focusing on distilling knowledge from large multilingual neural machine translation (MNMT) models into smaller ones are practically …...

3033