Article Instance
API Endpoint for journals.
GET /api/articles/29097/?format=api
{ "pk": 29097, "title": "Revealing Long-term Language Change with Subword-incorporated WordEmbedding Models", "subtitle": null, "abstract": "We propose an augmented word embedding model that better incorporates subword information with additional parametersthat characterize the semantic weights of characters in composing words. Our model can reveal some interesting patternsof long-term change in Chinese language, which provides novel evidence and methodology that enriches existing theoriesin evolutionary linguistics. The resulting word vectors also has decent performance in NLP-related tasks.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Poster Presentations with Abstracts", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/1818j7tg", "frozenauthors": [ { "first_name": "Yang", "middle_name": "", "last_name": "Xu", "name_suffix": "", "institution": "San Diego State University", "department": "" }, { "first_name": "Jiasheng", "middle_name": "", "last_name": "Zhang", "name_suffix": "", "institution": "The Pennsylvania State University", "department": "" }, { "first_name": "David", "middle_name": "", "last_name": "Reitter", "name_suffix": "", "institution": "Penn State", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2019-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29097/galley/18968/download/" } ] }