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| "paper_id": "2020", | |
| "header": { | |
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| "date_generated": "2023-01-19T06:34:12.561386Z" | |
| }, | |
| "title": "Manaal Faruqui (Google) Yansong Feng (Peking University) Catherine Finegan-Dollak (IBM Research) Tim Finin (UMBC)", | |
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| "first": "Lucie", | |
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| "last": "Flek", | |
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| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Jiwei", | |
| "middle": [], | |
| "last": "Li", | |
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| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "(", | |
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| "last": "Shannonai", | |
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| "affiliation": {}, | |
| "email": "" | |
| }, | |
| { | |
| "first": "Jessy", | |
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| "Junyi" | |
| ], | |
| "last": "Li", | |
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| "text": "The W-NUT 2020 workshop focuses on a core set of natural language processing tasks on top of noisy user-generated text, such as that found on social media, web forums and online reviews. Recent years have seen a significant increase of interest in these areas. The internet has democratized content creation leading to an explosion of informal user-generated text, publicly available in electronic format, motivating the need for NLP on noisy text to enable new data analytics applications. ", | |
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| "section": "Introduction", | |
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| "back_matter": [ | |
| { | |
| "text": "WNUT 2020 Shared Task-1: Conditional Random Field(CRF) based Named Entity Recognition (NER) ", | |
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| "section": "No Day Set (continued)", | |
| "sec_num": null | |
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