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Dependency Patterns of Complex Sentences and Semantic Disambiguation for Abstract Meaning Representation Parsing ...
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Nested Named Entity Recognition via Explicitly Excluding the Influence of the Best Path ...
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Neural Machine Translation with Synchronous Latent Phrase Structure ...
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User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization ...
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User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization ...
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Abstract:
Read the paper on the folowing link: https://www.aclweb.org/anthology/2021.naacl-main.438/ Abstract: Morphological analysis (MA) and lexical normalization (LN) are both important tasks for Japanese user-generated text (UGT). To evaluate and compare different MA/LN systems, we have constructed a publicly available Japanese UGT corpus. Our corpus comprises 929 sentences annotated with morphological and normalization information, along with category information we classified for frequent UGT-specific phenomena. Experiments on the corpus demonstrated the low performance of existing MA/LN methods for non-general words and non-standard forms, indicating that the corpus would be a challenging benchmark for further research on UGT. ...
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URL: https://underline.io/lecture/19743-user-generated-text-corpus-for-evaluating-japanese-morphological-analysis-and-lexical-normalization https://dx.doi.org/10.48448/db3t-cy21
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