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1
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction ...
Abstract: Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other language, typically English. While the advance of pretrained multilingual encoders suggests an easy optimism of "train on English, run on any language", we find through a thorough exploration and extension of techniques that a combination of approaches, both new and old, leads to better performance than any one cross-lingual strategy in particular. We explore techniques including data projection and self-training, and how different pretrained encoders impact them. We use English-to-Arabic IE as our initial example, demonstrating strong performance in this setting for event extraction, named entity recognition, part-of-speech tagging, and dependency parsing. We then apply data projection and self-training to three tasks across eight target languages. Because no single set of techniques performs the best across all tasks, we encourage ... : EMNLP 2021 ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2109.06798
https://arxiv.org/abs/2109.06798
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2
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling ...
Mueller, Aaron; Dredze, Mark. - : arXiv, 2021
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3
Improving Zero-Shot Multi-Lingual Entity Linking ...
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4
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking ...
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5
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling ...
NAACL 2021 2021; Dredze, Mark; Mueller, Aaron. - : Underline Science Inc., 2021
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6
Do Explicit Alignments Robustly Improve Multilingual Encoders? ...
Wu, Shijie; Dredze, Mark. - : arXiv, 2020
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7
Sources of Transfer in Multilingual Named Entity Recognition ...
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8
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking ...
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9
Are All Languages Created Equal in Multilingual BERT? ...
Wu, Shijie; Dredze, Mark. - : arXiv, 2020
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10
Learning unsupervised contextual representations for medical synonym discovery
Schumacher, Elliot; Dredze, Mark. - : Oxford University Press, 2019
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11
Feature Generation for Robust Semantic Role Labeling ...
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12
Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Learning ...
Peng, Nanyun; Dredze, Mark. - : arXiv, 2016
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13
Embedding Lexical Features via Low-Rank Tensors ...
Yu, Mo; Dredze, Mark; Arora, Raman. - : arXiv, 2016
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14
Improved Relation Extraction with Feature-Rich Compositional Embedding Models ...
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15
Entity Disambiguation for Knowledge Base Population ...
Dredze, Mark; McNamee, Paul; Rao, Delip. - : My University, 2010
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16
Annotating named entities in Twitter data with crowdsourcing ...
Finin, Tim; Murnane, Will; Karandikar, Anand. - : Association for Computational Linguistics, 2010
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17
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis
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18
Reading the Markets: Forecasting Public Opinion of Political Candidates by News Analysis ...
Lerman, Kevin; Gilder, Ari; Dredze, Mark. - : Columbia University, 2008
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19
Further Results and Analysis of Icelandic Part of Speech Tagging
In: Technical Reports (CIS) (2008)
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