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Semi-Supervised Learning on Meta Structure: Multi-Task Tagging and Parsing in Low-Resource Scenarios
In: Conference of the Association for the Advancement of Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-02895835 ; Conference of the Association for the Advancement of Artificial Intelligence, Association for the Advancement of Artificial Intelligence, Feb 2020, New York, United States ; https://aaai.org/Conferences/AAAI-20/ (2020)
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StructSum: Summarization via Structured Representations ...
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Harnessing Code Switching to Transcend the Linguistic Barrier ...
Abstract: Code mixing (or code switching) is a common phenomenon observed in social-media content generated by a linguistically diverse user-base. Studies show that in the Indian sub-continent, a substantial fraction of social media posts exhibit code switching. While the difficulties posed by code mixed documents to further downstream analyses are well-understood, lending visibility to code mixed documents under certain scenarios may have utility that has been previously overlooked. For instance, a document written in a mixture of multiple languages can be partially accessible to a wider audience; this could be particularly useful if a considerable fraction of the audience lacks fluency in one of the component languages. In this paper, we provide a systematic approach to sample code mixed documents leveraging a polyglot embedding based method that requires minimal supervision. In the context of the 2019 India-Pakistan conflict triggered by the Pulwama terror attack, we demonstrate an untapped potential of harnessing ...
Keyword: Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2001.11258
https://arxiv.org/abs/2001.11258
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4
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020)
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5
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ...
Wang, Zirui; Xie, Jiateng; Xu, Ruochen. - : arXiv, 2019
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Learning Rhyming Constraints using Structured Adversaries ...
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Domain Adaptation of Neural Machine Translation by Lexicon Induction ...
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8
Language Technologies for Humanitarian Aid ...
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Language Technologies for Humanitarian Aid ...
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10
Active Semi-Supervised Learning for Improving Word Alignment ...
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Active Semi-Supervised Learning for Improving Word Alignment ...
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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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An Efficient Interlingua Translation System for Multi-lingual Document Production ...
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ParaMor: Finding Paradigms across Morphology ...
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ParaMor: Minimally-Supervised Induction of Paradigm Structure and Morphological Analysis ...
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ParaMor: Finding Paradigms across Morphology ...
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ParaMor: Finding Paradigms across Morphology ...
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ParaMor: Finding Paradigms across Morphology ...
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19
Neural Cross-Lingual Named Entity Recognition with Minimal Resources ...
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20
Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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