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1
Cross-lingual Representation Learning for Natural Language Processing
Ahmad, Wasi Uddin. - : eScholarship, University of California, 2021
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2
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ...
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3
Intent Classification and Slot Filling for Privacy Policies ...
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4
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training ...
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5
Syntax-augmented Multilingual BERT for Cross-lingual Transfer ...
Abstract: In recent years, we have seen a colossal effort in pre-training multilingual text encoders using large-scale corpora in many languages to facilitate cross-lingual transfer learning. However, due to typological differences across languages, the cross-lingual transfer is challenging. Nevertheless, language syntax, e.g., syntactic dependencies, can bridge the typological gap. Previous works have shown that pre-trained multilingual encoders, such as mBERT \cite{devlin-etal-2019-bert}, capture language syntax, helping cross-lingual transfer. This work shows that explicitly providing language syntax and training mBERT using an auxiliary objective to encode the universal dependency tree structure helps cross-lingual transfer. We perform rigorous experiments on four NLP tasks, including text classification, question answering, named entity recognition, and task-oriented semantic parsing. The experiment results show that syntax-augmented mBERT improves cross-lingual transfer on popular benchmarks, such as PAWS-X and ... : ACL 2021 (camera ready) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2106.02134
https://arxiv.org/abs/2106.02134
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6
Syntax-augmented Multilingual BERT for Cross-lingual Transfer ...
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7
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction ...
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8
Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions.
In: Journal of computational biology : a journal of computational molecular cell biology, vol 26, iss 1 (2019)
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9
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
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10
Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions
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)
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11
Learning Robust, Transferable Sentence Representations for Text Classification ...
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