Frozen BERT features plus a simple neural classifier outperform an LSTM baseline for Chinese polyphone disambiguation.
Analogical Reasoning on Chinese Morphological and Semantic Relations
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abstract
Analogical reasoning is effective in capturing linguistic regularities. This paper proposes an analogical reasoning task on Chinese. After delving into Chinese lexical knowledge, we sketch 68 implicit morphological relations and 28 explicit semantic relations. A big and balanced dataset CA8 is then built for this task, including 17813 questions. Furthermore, we systematically explore the influences of vector representations, context features, and corpora on analogical reasoning. With the experiments, CA8 is proved to be a reliable benchmark for evaluating Chinese word embeddings.
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Disambiguation of Chinese Polyphones in an End-to-End Framework with Semantic Features Extracted by Pre-trained BERT
Frozen BERT features plus a simple neural classifier outperform an LSTM baseline for Chinese polyphone disambiguation.