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1
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification ...
Bassignana, Elisa; Plank, Barbara. - : arXiv, 2022
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2
How Universal is Genre in Universal Dependencies? ...
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3
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions ...
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4
Genre as Weak Supervision for Cross-lingual Dependency Parsing ...
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5
DaN+: Danish Nested Named Entities and Lexical Normalization ...
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6
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ...
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7
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ...
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8
Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ...
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9
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging ...
Plank, Barbara; Agić, Željko. - : arXiv, 2018
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10
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging ...
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11
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction ...
Abstract: Gender prediction has typically focused on lexical and social network features, yielding good performance, but making systems highly language-, topic-, and platform-dependent. Cross-lingual embeddings circumvent some of these limitations, but capture gender-specific style less. We propose an alternative: bleaching text, i.e., transforming lexical strings into more abstract features. This study provides evidence that such features allow for better transfer across languages. Moreover, we present a first study on the ability of humans to perform cross-lingual gender prediction. We find that human predictive power proves similar to that of our bleached models, and both perform better than lexical models. ... : Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.1805.03122
https://arxiv.org/abs/1805.03122
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12
ALL-IN-1: Short Text Classification with One Model for All Languages ...
Plank, Barbara. - : arXiv, 2017
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13
Parsing Universal Dependencies without training ...
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14
Semantic Tagging with Deep Residual Networks ...
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15
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss ...
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16
Keystroke dynamics as signal for shallow syntactic parsing ...
Plank, Barbara. - : arXiv, 2016
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