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Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models

机译：学习单词感觉分布，检测未经证实的感官并使用主题模型识别新感官

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Jey Han Lau; Paul Cook; Diana Mccarthy; Ana Gella; Timothy Baldwin;
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年度 2014
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1. Semi-supervised Learning with Induced Word Senses for State of the Art Word Sense Disambiguation [J] . Ba#351, kaya Osman, Jurgens David The Journal of Artificial Intelligence Research . 2016,第10期

机译：半监督学习与诱导词义相结合，可实现最先进的词义歧义消除
2. Semi-supervised Learning with Induced Word Senses for State of the Art Word Sense Disambiguation [J] . Baskaya Osman, Jurgens David The Journal of Artificial Intelligence Research . 2016,第Null期

机译：半监督学习与诱导词义相结合，可实现最先进的词义歧义消除
3. EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses [J] . Ayetiran Eniafe Festus, Sojka Petr, Novotny Vit Knowledge-Based Systems . 2021,第MAYa11期

机译：EDS-MEMBED：基于增强的分布语义结构的多感测嵌入式通过图形漫游在Word Senses上行走
4. Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models [C] . Jey Han Lau, Paul Cook, Diana McCarthy, Annual meeting of the Association for Computational Linguistics . 2014

机译：使用主题模型学习单词义分布，检测未经检验的义并识别新义
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6. Non-Invasive Tools to Detect Smoke Contamination in Grapevine Canopies Berries and Wine: A Remote Sensing and Machine Learning Modeling Approach [O] . Sigfredo Fuentes, Eden Jane Tongson, Roberta De Bei, 2019

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7. Utilizing Semantic Composition in Distributional Semantic Models for Word Sense Discrimination and Word Sense Disambiguation [O] . Cem Akkaya, Janyce Wiebe, Rada Mihalcea 2013

机译：利用分布式语义模型中的语义构成进行词义识别和词义消歧

Learning Word Sense Distributions, Detecting Unattested Senses and Identifying Novel Senses Using Topic Models

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