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What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification ...
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On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions ...
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Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
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DaN+: Danish Nested Named Entities and Lexical Normalization ...
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From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ...
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Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ...
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Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging ...
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The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging ...
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Bleaching Text: Abstract Features for Cross-lingual Gender Prediction ...
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ALL-IN-1: Short Text Classification with One Model for All Languages ...
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Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss ...
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Abstract:
Bidirectional long short-term memory (bi-LSTM) networks have recently proven successful for various NLP sequence modeling tasks, but little is known about their reliance to input representations, target languages, data set size, and label noise. We address these issues and evaluate bi-LSTMs with word, character, and unicode byte embeddings for POS tagging. We compare bi-LSTMs to traditional POS taggers across languages and data sizes. We also present a novel bi-LSTM model, which combines the POS tagging loss function with an auxiliary loss function that accounts for rare words. The model obtains state-of-the-art performance across 22 languages, and works especially well for morphologically complex languages. Our analysis suggests that bi-LSTMs are less sensitive to training data size and label corruptions (at small noise levels) than previously assumed. ... : In ACL 2016 (short) ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1604.05529 https://arxiv.org/abs/1604.05529
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Keystroke dynamics as signal for shallow syntactic parsing ...
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