| { | |
| "paper_id": "2020", | |
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| "date_generated": "2023-01-19T12:13:58.851831Z" | |
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| "title": "", | |
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| "year": "", | |
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| "abstract": "", | |
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| "paper_id": "2020", | |
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| "abstract": [], | |
| "body_text": [ | |
| { | |
| "text": "In 2020, the Association for Vietnamese Language and Speech Processing (VLSP) is officially founded, as a chapter of Vietnam Vietnam Association for Information Processing. VLSP consortium is an initiative which came from Institute of Information Technology -Vietnam Academy of Science and Technology, to establish a community working on speech and text processing for Vietnamese language. The first national project KC01.03/06-10 from 2007-2009 which received strong support from Ministry of Science and Technology, gathered eight active research groups from universities and institutes in Vietnam and overseas. A main goal of the first project is to set up long term strategy on Vietnamese language processing in order to provide and to involve community to enrich shared language resources and tools for R&D purpose. Since 2012, the VLSP Consortium has organized a series of workshops, in conjunction with large international conferences organized in Vietnam. Until 2020, six events have taken place with different forms of activities such as technical reports, activity reports, discussion panel, shared tasks on VLSP. From VLSP 2016, organizing shared tasks on Vietnamese processing became the main activities of the workshop series in order to promote the development of essential tools and resources for VLSP.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
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| "text": "The seventh VLSP workshop constitutes the first workshop organized by the Association for VLSP. held in Hanoi in December 2020. To mark this event, seven shared tasks have been proposed and in the end six challenges have been organized:", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "1. Vietnamese Universal Dependency Parsing (UDP): the task of determining syntactic dependencies between words in a sentence.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
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| "text": "2. Vietnamese Relation Extraction (RE): the task of identifying and determining the semantic relations between pairs of named entity mentions within a single sentence.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "3. English-Vietnamese Machine Translation (MT): text translation from English to Vietnamese in the news domain.", | |
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| "section": "Introduction", | |
| "sec_num": null | |
| }, | |
| { | |
| "text": "Network Sites (ReINTEL): the task of identifying a piece of information shared on social network sites (SNSs) as reliable or unreliable.", | |
| "cite_spans": [], | |
| "ref_spans": [], | |
| "eq_spans": [], | |
| "section": "Reliable Intelligence Identification on Vietnamese Social", | |
| "sec_num": "4." | |
| }, | |
| { | |
| "text": "5. Automatic Speech Recognition for Vietnamese (ASR): the task includes two evaluation sub-tasks. For the first sub-task, all participants are required to use only the provided data to develop ASR models including acoustic and language models. For the second one, participants can use all available data sources to develop their ASR models without any limitation.", | |
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| "section": "Reliable Intelligence Identification on Vietnamese Social", | |
| "sec_num": "4." | |
| }, | |
| { | |
| "text": "6. Vietnamese Text-To-Speech on Common Datasets (TTS): the task of building a TTS system with a training voice from the same speech database released by the organizers.", | |
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| "section": "Reliable Intelligence Identification on Vietnamese Social", | |
| "sec_num": "4." | |
| }, | |
| { | |
| "text": "The participants to the evaluation campaign were asked to present their system in a dedicated paper.", | |
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| "section": "Reliable Intelligence Identification on Vietnamese Social", | |
| "sec_num": "4." | |
| }, | |
| { | |
| "text": "We ", | |
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| "section": "Reliable Intelligence Identification on Vietnamese Social", | |
| "sec_num": "4." | |
| } | |
| ], | |
| "back_matter": [], | |
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| "TABREF0": { | |
| "content": "<table><tr><td>Organisers:</td></tr><tr><td>General Chair: Nguy\u03c0n Th \u2021 Minh Huy\u2211n</td></tr><tr><td>Organizing Co-chairs: Nguy\u03c0n V\u00b4n Huy, H\u00e0 Th\u00e0nh L\u00ea, V\u00d9 Xu\u00e2n S\u00cfn, Nguy\u03c0n Th \u2021 Thu Trang, Tr \u00b6n</td></tr><tr><td>Th\u220f Trung, Tr \u00b6n Mai V\u00d9</td></tr><tr><td>Program Committee Co-chairs: Nguy\u03c0n L\u00ea Minh, L\u02dc\u00cfng Chi Mai</td></tr><tr><td>Publication Co-chairs: V\u00d9 Xu\u00e2n S\u00cfn, Nguy\u03c0n Thanh S\u00cfn, H\u00e0 Th\u00e0nh L\u00ea, V\u00d9 Ti\u220fn Th\u00e0nh</td></tr><tr><td>Program Committee:</td></tr><tr><td>Ng\u00f4 Xu\u00e2n B\u00e1ch (PTIT, Vietnam), Nguy\u03c0n Vi\u00aat C\u02dc\u00ccng (INT 2 ), L\u00ea Anh C\u02dc\u00ccng (TDTU, Vietnam),</td></tr><tr><td>Ph \u00a7m Hi\u222bn (IOL, VASS), Phan Xu\u00e2n Hi\u220fu (UET, VNU), L\u00ea Quang H\u00f9ng (QNU, Vietnam), L\u00ea</td></tr><tr><td>Thanh H\u02dc\u00cfng (HUST, Vietnam), Nguy\u03c0n V\u00b4n Huy (VINBDI), Nguy\u03c0n Th \u2021 Minh Huy\u2211n (HUS,</td></tr><tr><td>VNU) H\u00e0 Th\u00e0nh L\u00ea (KIT, Germany & VINBDI, Vietnam), L\u02dc\u00cfng Chi Mai (IOIT, VAST), Nguy\u03c0n</td></tr><tr><td>L\u00ea Minh (JAIST, Japan), Ph \u00a7m Quang Nh\u2122t Minh (Aimesoft Co., Vietnam), Nguy\u03c0n L\u02dcu ThuN</td></tr><tr><td>g\u00e2n (UIT, VNUHCM), L\u00ea H\u00c1ng Ph\u02dc\u00cfng (HUS, VNU), V\u00d9 Xu\u00e2n S\u00cfn (Ume\u00e5 University, Swe-</td></tr><tr><td>den), Nguy\u03c0n Ph\u02dc\u00cfng Th\u00e1i (UET, VNU), L\u00ea C\u00f4ng Th\u00e0nh (InfoRe), Nguy\u03c0n Th \u2021 Thu Trang (HUST,</td></tr><tr><td>Vietnam),</td></tr><tr><td>very much hope that you have had an enjoyable and inspiring time!</td></tr><tr><td>Huyen T M. Nguyen, Xuan-Son Vu, Chi Mai Luong</td></tr><tr><td>Hanoi & Ume\u00e5</td></tr><tr><td>Feburary 2021</td></tr></table>", | |
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| "text": "Tr \u00b6n Th\u220f Trung (FPT, Vietnam), Nguy\u03c0n V\u00b4n Vinh (UET, VNU), Tr \u00b6n Mai V\u00d9 (UET, VNU), L\u00ea \u02d8c Tr\u00c2ng (UET, VNU), Harry Nguyen (University of Glasgow, Singapore), Alex To, (ReML.AI) Nguy\u03c0n Thu\u02ddTrinh (ReML.AI), Nguy\u03c0n Quang (UET, VNU), Linh Le (ReML.AI), Ho\u00e0ng Minh \u02d8c (ReML.AI), Nguy\u03c0n Anh Tu\u00dfn (ReML.AI), L\u00ea Nghaea (ReML.AI)" | |
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| "text": "ReINTEL Challenge 2020: Vietnamese Fake News Detection usingEnsemble Model with PhoBERT embeddings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Thuan Nguyen Hieu, Hieu Cao Nguyen Minh, Hung To Van and Bang Vo Quoc ReINTEL Challenge 2020: A Comparative Study of Hybrid Deep Neural Network for Reliable Intelligence Identification on Vietnamese SNSs . . . . . . . . . . . . . . . . . . . . . . 6 Hoang Viet Trinh, Tung Tien Bui, Tam Minh Nguyen, Huy Quang Dao, Quang Huu Pham and Ngoc N. Tran An Empirical Study of Using Pre-trained BERT Models for Vietnamese Relation Extraction Task at VLSP 2020 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Minh Quang Nhat Pham" | |
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