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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 5 of 5 1 Pathologies of Pre-trained Language Models in Few-shot Fine-tuning ... Chen, Hanjie; Zheng, Guoqing; Awadallah, Ahmed Hassan. - : arXiv, 2022 BASE Show details 2 MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning ... Xia, Mengzhou; Zheng, Guoqing; Mukherjee, Subhabrata. - : arXiv, 2021 BASE Show details 3 A Dataset and Baselines for Multilingual Reply Suggestion ... Zhang, Mozhi; Wang, Wei; Deb, Budhaditya; Zheng, Guoqing; Shokouhi, Milad; Awadallah, Ahmed Hassan. - : arXiv, 2021 Abstract: Reply suggestion models help users process emails and chats faster. Previous work only studies English reply suggestion. Instead, we present MRS, a multilingual reply suggestion dataset with ten languages. MRS can be used to compare two families of models: 1) retrieval models that select the reply from a fixed set and 2) generation models that produce the reply from scratch. Therefore, MRS complements existing cross-lingual generalization benchmarks that focus on classification and sequence labeling tasks. We build a generation model and a retrieval model as baselines for MRS. The two models have different strengths in the monolingual setting, and they require different strategies to generalize across languages. MRS is publicly available at https://github.com/zhangmozhi/mrs. ... : ACL 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG URL: https://dx.doi.org/10.48550/arxiv.2106.02017 https://arxiv.org/abs/2106.02017 BASE Hide details 4 A Conditional Generative Matching Model for Multi-lingual Reply Suggestion ... Deb, Budhaditya; Zheng, Guoqing; Shokouhi, Milad. - : arXiv, 2021 BASE Show details 5 A Conditional Generative Matching Model for Multi-lingual Reply Suggestion ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Awadallah, Ahmed; Deb, Budhaditya. - : Underline Science Inc., 2021 BASE Show details

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