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On the logistical difficulties and findings of Jopara Sentiment Analysis ...
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On the Logistical Difficulties and Findings of Jopara Sentiment Analysis
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Viability of Sequence Labeling Encodings for Dependency Parsing
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Artificially Evolved Chunks for Morphosyntactic Analysis ...
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Abstract:
We introduce a language-agnostic evolutionary technique for automatically extracting chunks from dependency treebanks. We evaluate these chunks on a number of morphosyntactic tasks, namely POS tagging, morphological feature tagging, and dependency parsing. We test the utility of these chunks in a host of different ways. We first learn chunking as one task in a shared multi-task framework together with POS and morphological feature tagging. The predictions from this network are then used as input to augment sequence-labelling dependency parsing. Finally, we investigate the impact chunks have on dependency parsing in a multi-task framework. Our results from these analyses show that these chunks improve performance at different levels of syntactic abstraction on English UD treebanks and a small, diverse subset of non-English UD treebanks. ... : To be published in proceedings of the 18th International Workshop on Treebanks and Linguistic Theories ...
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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.1908.03480 https://arxiv.org/abs/1908.03480
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Grounding the Semantics of Part-of-Day Nouns Worldwide using Twitter ...
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A non-projective greedy dependency parser with bidirectional LSTMs ...
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Compositional language processing for multilingual sentiment analysis
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Tratamiento sintáctico de la negación en análisis del sentimiento monolingüe y multilingüe
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Universal, Unsupervised (Rule-Based), Uncovered Sentiment Analysis ...
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Lyapunov filtering of objectivity for Spanish sentiment model
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One model, two languages: training bilingual parsers with harmonized treebanks ...
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