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Composing Word Vectors for Japanese Compound Words Using Bilingual Word Embeddings
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Generation and Evaluation of Concept Embeddings Via Fine-Tuning Using Automatically Tagged Corpus
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Automatic Creation of Correspondence Table of Meaning Tags from Two Dictionaries in One Language Using Bilingual Word Embedding
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BASE
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All-words WSDとfine-tuningを利用した分類語彙表の語義の分散表現の構築
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In: https://pj.ninjal.ac.jp/corpus_center/lrw2019.html (2019)
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BASE
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6 |
双方向LSTMによる分類語彙表番号を語義としたall-words WSD
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In: https://pj.ninjal.ac.jp/corpus_center/lrw2018.html (2018)
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BASE
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7 |
日本語歴史コーパスの現代語辞書における未知語義判定システム
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In: https://pj.ninjal.ac.jp/corpus_center/lrw2018.html (2018)
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BASE
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8 |
単語の分散表現を用いた領域における出現単語の特徴分析
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In: https://pj.ninjal.ac.jp/corpus_center/lrw2018.html (2018)
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BASE
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9 |
固有表現抽出におけるアノテーション手法の比較
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In: http://pj.ninjal.ac.jp/corpus_center/lrw2016.html (2017)
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BASE
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10 |
nwjc2vecのfine-tuning
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In: http://pj.ninjal.ac.jp/corpus_center/lrw2017.html (2017)
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BASE
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11 |
単義語と共起する多義語に対する分散表現を利用した語義分析
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In: http://pj.ninjal.ac.jp/corpus_center/lrw2017.html (2017)
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BASE
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『分類語彙表』の類義語と分散表現を利用したall-words語義曖昧性解消
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In: http://pj.ninjal.ac.jp/corpus_center/lrw2016.html (2017)
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BASE
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13 |
SemEval-2010 task: Japanese WSD
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In: http://aclweb.org/anthology/S/S10/S10-1012.pdf (2010)
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Abstract:
An overview of the SemEval-2 Japanese WSD task is presented. It is a lexical sample task, and word senses are defined according to a Japanese dictionary, the Iwanami Kokugo Jiten. This dictionary and a training corpus were distributed to participants. The number of target words was 50, with 22 nouns, 23 verbs, and 5 adjectives. Fifty instances of each target word were provided, consisting of a total of 2,500 instances for the evaluation. Nine systems from four organizations participated in the task. 1
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URL: http://aclweb.org/anthology/S/S10/S10-1012.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.397.4740
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