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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 – 14 of 14 1 Cross-lingual Representation Learning for Natural Language Processing Ahmad, Wasi Uddin. - : eScholarship, University of California, 2021 BASE Show details 2 CoDesc: A Large Code-Description Parallel Dataset ... Hasan, Masum; Muttaqueen, Tanveer; Ishtiaq, Abdullah Al. - : arXiv, 2021 BASE Show details 3 BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla ... Bhattacharjee, Abhik; Hasan, Tahmid; Samin, Kazi. - : arXiv, 2021 BASE Show details 4 Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ... Huang, Kuan-Hao; Ahmad, Wasi Uddin; Peng, Nanyun. - : arXiv, 2021 BASE Show details 5 CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs ... Hasan, Tahmid; Bhattacharjee, Abhik; Ahmad, Wasi Uddin. - : arXiv, 2021 BASE Show details 6 Intent Classification and Slot Filling for Privacy Policies ... 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; Ahmad, Wasi Uddin; Chang, Kai-Wei. - : Underline Science Inc., 2021 BASE Show details 7 Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ahmad, Wasi Uddin; Chang, Kai-Wei. - : Underline Science Inc., 2021 BASE Show details 8 Syntax-augmented Multilingual BERT for Cross-lingual Transfer ... Ahmad, Wasi Uddin; Li, Haoran; Chang, Kai-Wei. - : arXiv, 2021 BASE Show details 9 Syntax-augmented Multilingual BERT for Cross-lingual Transfer ... 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; Ahmad, Wasi Uddin; Chang, Kai-Wei. - : Underline Science Inc., 2021 BASE Show details 10 GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction ... Ahmad, Wasi Uddin; Peng, Nanyun; Chang, Kai-Wei. - : arXiv, 2020 BASE Show details 11 Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions. Duong, Dat; Ahmad, Wasi Uddin; Eskin, Eleazar... In: Journal of computational biology : a journal of computational molecular cell biology, vol 26, iss 1 (2019) BASE Show details 12 Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions Duong, Dat; Ahmad, Wasi Uddin; Eskin, Eleazar. - : Mary Ann Liebert, Inc., publishers, 2019 BASE Show details 13 Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions Duong, Dat; Ahmad, Wasi Uddin; Eskin, Eleazar... In: Duong, Dat; Ahmad, Wasi Uddin; Eskin, Eleazar; Chang, Kai-Wei; & Li, Jingyi Jessica. (2018). Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions. JOURNAL OF COMPUTATIONAL BIOLOGY, 26(1), 38 - 52. doi:10.1089/cmb.2018.0093. UCLA: Retrieved from: http://www.escholarship.org/uc/item/3j1294zk (2018) BASE Show details 14 Learning Robust, Transferable Sentence Representations for Text Classification ... Ahmad, Wasi Uddin; Bai, Xueying; Peng, Nanyun; Chang, Kai-Wei. - : arXiv, 2018 Abstract: Despite deep recurrent neural networks (RNNs) demonstrate strong performance in text classification, training RNN models are often expensive and requires an extensive collection of annotated data which may not be available. To overcome the data limitation issue, existing approaches leverage either pre-trained word embedding or sentence representation to lift the burden of training RNNs from scratch. In this paper, we show that jointly learning sentence representations from multiple text classification tasks and combining them with pre-trained word-level and sentence level encoders result in robust sentence representations that are useful for transfer learning. Extensive experiments and analyses using a wide range of transfer and linguistic tasks endorse the effectiveness of our approach. ... : arXiv admin note: substantial text overlap with arXiv:1804.07911 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.1810.00681 https://arxiv.org/abs/1810.00681 BASE Hide details

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