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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 – 17 of 17 1 A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations ... Yang, Ziyi; Yang, Yinfei; Cer, Daniel. - : arXiv, 2021 BASE Show details 2 Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve ... NAACL 2021 2021; Agarwal, Oshin; Nenkova, Ani. - : Underline Science Inc., 2021 BASE Show details 3 Neural Retrieval for Question Answering with Cross-Attention Supervised Data Augmentation ... 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; Yang, Yinfei. - : Underline Science Inc., 2021 BASE Show details 4 Universal Sentence Representation Learning with Conditional Masked Language Model ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cer, Daniel; Darve, Eric. - : Underline Science Inc., 2021 BASE Show details 5 A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Cer, Daniel; Darve, Eric. - : Underline Science Inc., 2021 BASE Show details 6 LAReQA: Language-agnostic answer retrieval from a multilingual pool ... Roy, Uma; Constant, Noah; Al-Rfou, Rami. - : arXiv, 2020 BASE Show details 7 Language-agnostic BERT Sentence Embedding ... Feng, Fangxiaoyu; Yang, Yinfei; Cer, Daniel. - : arXiv, 2020 BASE Show details 8 Universal Sentence Representation Learning with Conditional Masked Language Model ... Yang, Ziyi; Yang, Yinfei; Cer, Daniel. - : arXiv, 2020 BASE Show details 9 Interpretability Analysis for Named Entity Recognition to Understand System Predictions and How They Can Improve ... Agarwal, Oshin; Yang, Yinfei; Wallace, Byron C.. - : arXiv, 2020 BASE Show details 10 End-to-end Semantics-based Summary Quality Assessment for Single-document Summarization ... Bao, Forrest Sheng; Li, Hebi; Luo, Ge. - : arXiv, 2020 BASE Show details 11 Neural Passage Retrieval with Improved Negative Contrast ... Lu, Jing; Abrego, Gustavo Hernandez; Ma, Ji. - : arXiv, 2020 BASE Show details 12 PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification ... Yang, Yinfei; Zhang, Yuan; Tar, Chris. - : arXiv, 2019 BASE Show details 13 Multilingual Universal Sentence Encoder for Semantic Retrieval ... Yang, Yinfei; Cer, Daniel; Ahmad, Amin. - : arXiv, 2019 BASE Show details 14 Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax ... Yang, Yinfei; Abrego, Gustavo Hernandez; Yuan, Steve; Guo, Mandy; Shen, Qinlan; Cer, Daniel; Sung, Yun-hsuan; Strope, Brian; Kurzweil, Ray. - : arXiv, 2019 Abstract: In this paper, we present an approach to learn multilingual sentence embeddings using a bi-directional dual-encoder with additive margin softmax. The embeddings are able to achieve state-of-the-art results on the United Nations (UN) parallel corpus retrieval task. In all the languages tested, the system achieves P@1 of 86% or higher. We use pairs retrieved by our approach to train NMT models that achieve similar performance to models trained on gold pairs. We explore simple document-level embeddings constructed by averaging our sentence embeddings. On the UN document-level retrieval task, document embeddings achieve around 97% on P@1 for all experimented language pairs. Lastly, we evaluate the proposed model on the BUCC mining task. The learned embeddings with raw cosine similarity scores achieve competitive results compared to current state-of-the-art models, and with a second-stage scorer we achieve a new state-of-the-art level on this task. ... : Accepted by IJCAI'19(International Joint Conference on Artificial Intelligence) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1902.08564 https://arxiv.org/abs/1902.08564 BASE Hide details 15 Effective Parallel Corpus Mining using Bilingual Sentence Embeddings ... Guo, Mandy; Shen, Qinlan; Yang, Yinfei. - : arXiv, 2018 BASE Show details 16 Learning Cross-Lingual Sentence Representations via a Multi-task Dual-Encoder Model ... Chidambaram, Muthuraman; Yang, Yinfei; Cer, Daniel. - : arXiv, 2018 BASE Show details 17 Combining Lexical and Syntactic Features for Detecting Content-dense Texts in News ... Yang, Yinfei; Nenkova, Ani. - : arXiv, 2017 BASE Show details

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