Cross‑Lingual Structured Sentiment Analysis with Data Augmentation and Auxiliary Tasks

Meituan's Voice Interaction team tackled the lack of low‑resource language annotations and high optimization costs in SemEval‑2022 Task 10 by leveraging the cross‑lingual XLM‑RoBERTa model together with multi‑task learning and two data‑augmentation strategies, achieving first place in the zero‑shot subtask and second place in the monolingual subtask.

Cross-Lingual TransferStructured Sentiment AnalysisXLM-RoBERTa

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Cross‑Lingual Structured Sentiment Analysis with Data Augmentation and Auxiliary Tasks

DataFunSummit

Jan 13, 2022 · Artificial Intelligence

DeltaLM: A Multilingual Pretrained Encoder‑Decoder Model for Neural Machine Translation

DeltaLM is a multilingual pretrained encoder‑decoder model that leverages cross‑lingual transfer from a pretrained encoder and novel decoder architecture, employs span‑corruption and translation‑pair pretraining tasks, and uses a two‑stage fine‑tuning strategy to achieve strong zero‑shot and supervised translation performance across over 100 languages.

Cross-Lingual TransferDeltaLMNeural Machine Translation

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DeltaLM: A Multilingual Pretrained Encoder‑Decoder Model for Neural Machine Translation