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Hits 1 – 3 of 3
1
DOCmT5: Document-Level Pretraining of Multilingual Language Models ...
Lee, Chia-Hsuan
;
Siddhant, Aditya
;
Ratnakar, Viresh
. - : arXiv, 2021
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2
KaggleDBQA: Realistic Evaluation of Text-to-SQL Parsers ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Lee, Chia-Hsuan
;
Polozov, Oleksandr
. - : Underline Science Inc., 2021
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3
Dialogue State Tracking with a Language Model using Schema-Driven Prompting ...
The 2021 Conference on Empirical Methods in Natural Language Processing 2021
;
Cheng, Hao
;
Lee, Chia-Hsuan
;
Ostendorf, Mari
. - : Underline Science Inc., 2021
Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.404/ Abstract: We introduce a new variation of the language modeling approach that uses schema-driven prompting to provide task-aware history encoding that is used for both categorical and non-categorical slots. We further improve performance by augmenting the prompting with schema descriptions, a naturally occurring source of in-domain knowledge. Our purely generative system achieves state-of-the-art performance onMultiWOZ 2.2 and achieves competitive performance on two other benchmarks: Multi-WOZ 2.1 and M2M. ...
Keyword:
Computational Linguistics
;
Language Models
;
Machine Learning
;
Machine Learning and Data Mining
;
Natural Language Processing
URL:
https://dx.doi.org/10.48448/8qam-2817
https://underline.io/lecture/38021-dialogue-state-tracking-with-a-language-model-using-schema-driven-prompting
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