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Papers Vietnamese Datasets

“Vietnamese Datasets” 태그가 달린 논문 17편 · 필터 해제

Comparative Opinion Mining in Product Reviews: Multi-perspective Prompt-based Learning

2024-12-11 · Hai-Yen Thi Nguyen, Cam-Van Thi Nguyen

Comparative reviews are pivotal in understanding consumer preferences and influencing purchasing decisions. Comparative Quintuple Extraction (COQE) aims to identify five key components in text: the target entity, compare…

Data AugmentationOpinion MiningVietnamese Datasets

New Benchmark Dataset and Fine-Grained Cross-Modal Fusion Framework for Vietnamese Multimodal Aspect-Category Sentiment Analysis

2024-05-01 · Quy Hoang Nguyen, Minh-Van Truong Nguyen, Kiet Van Nguyen

The emergence of multimodal data on social media platforms presents new opportunities to better understand user sentiments toward a given aspect. However, existing multimodal datasets for Aspect-Category Sentiment Analys…

Aspect Category Sentiment AnalysisMultimodal Sentiment AnalysisSentiment AnalysisVietnamese Datasets+3

BKEE: Pioneering Event Extraction in the Vietnamese Language

2024-05-01 · LREC | COLING 2024 5 · Thi-Nhung Nguyen, Bang Tien Tran, Trong-Nghia Luu, Thien Huu Nguyen 외

Event Extraction (EE) is a fundamental task in information extraction, aimed at identifying events and their associated arguments within textual data. It holds significant importance in various applications and serves as…

Event DetectionEvent ExtractionVietnamese Datasets

Complex Word Identification in Vietnamese: Towards Vietnamese Text Simplification

2022-07-01 · NAACL (MIA) 2022 7 · Phuong Nguyen, David Kauchak

Text Simplification has been an extensively researched problem in English, but has not been investigated in Vietnamese. We focus on the Vietnamese-specific Complex Word Identification task, often the first step in Lexica…

Complex Word IdentificationLexical SimplificationText SimplificationVietnamese Datasets

ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining

2022-06-01 · LREC 2022 6 · Minh, Nguyen and Tran, Vu Hoang and Hoang, Vu and Ta 외

Pre-trained language models have become crucial to achieving competitive results across many Natural Language Processing (NLP) problems. For monolingual pre-trained models in low-resource languages, the quantity has been…

Language ModelingLanguage ModellingMedical Named Entity RecognitionNamed Entity Recognition In Vietnamese+3

ViHealthBERT: Pre-trained Language Models for Vietnamese in Health Text Mining

2022-06-01 · LREC 2022 6 · Nguyen Minh, Vu Hoang Tran, Vu Hoang, Huy Duc Ta 외

Pre-trained language models have become crucial to achieving competitive results across many Natural Language Processing (NLP) problems. For monolingual pre-trained models in low-resource languages, the quantity has been…

Language ModelingLanguage ModellingVietnamese Datasets

VLSP 2021 - ViMRC Challenge: Vietnamese Machine Reading Comprehension

2022-03-22 · Kiet Van Nguyen, Son Quoc Tran, Luan Thanh Nguyen, Tin Van Huynh 외

One of the emerging research trends in natural language understanding is machine reading comprehension (MRC) which is the task to find answers to human questions based on textual data. Existing Vietnamese datasets for MR…

Language ModellingMachine Reading ComprehensionNatural Language InferenceNatural Language Understanding+6

VieSum: How Robust Are Transformer-based Models on Vietnamese Summarization?

2021-10-08 · Hieu Nguyen, Long Phan, James Anibal, Alec Peltekian 외

Text summarization is a challenging task within natural language processing that involves text generation from lengthy input sequences. While this task has been widely studied in English, there is very limited research o…

Abstractive Text SummarizationDecoderSelf-Supervised LearningText Generation+3

SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence

2021-05-31 · Luong Luc Phan, Phuc Huynh Pham, Kim Thi-Thanh Nguyen, Tham Thi Nguyen 외

In this paper, we present a process of building a social listening system based on aspect-based sentiment analysis in Vietnamese from creating a dataset to building a real application. Firstly, we create UIT-ViSFD, a Vie…

Aspect-Based Sentiment AnalysisAspect-Based Sentiment Analysis (ABSA)General ClassificationSentiment Analysis+4

Sentence Extraction-Based Machine Reading Comprehension for Vietnamese

2021-05-19 · Phong Nguyen-Thuan Do, Nhat Duy Nguyen, Tin Van Huynh, Kiet Van Nguyen 외

The development of natural language processing (NLP) in general and machine reading comprehension in particular has attracted the great attention of the research community. In recent years, there are a few datasets for m…

ArticlesMachine Reading ComprehensionQuestion AnsweringReading Comprehension+2

Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts

2021-05-04 · Son T. Luu, Mao Nguyen Bui, Loi Duc Nguyen, Khiem Vinh Tran 외

Machine reading comprehension (MRC) is a sub-field in natural language processing that aims to assist computers understand unstructured texts and then answer questions related to them. In practice, the conversation is an…

ArticlesChatbotMachine Reading ComprehensionQuestion Answering+2

Vietnamese Complaint Detection on E-Commerce Websites

2021-04-24 · Nhung Thi-Hong Nguyen, Phuong Phan-Dieu Ha, Luan Thanh Nguyen, Kiet Van Nguyen 외

Customer product reviews play a role in improving the quality of products and services for business organizations or their brands. Complaining is an attitude that expresses dissatisfaction with an event or a product not …

Complaint Comment ClassificationConstructive Comment ClassificationToxic Comment ClassificationVietnamese Datasets

An Empirical Study for Vietnamese Constituency Parsing with Pre-training

2020-10-19 · Tuan-Vi Tran, Xuan-Thien Pham, Duc-Vu Nguyen, Kiet Van Nguyen 외

In this work, we use a span-based approach for Vietnamese constituency parsing. Our method follows the self-attention encoder architecture and a chart decoder using a CKY-style inference algorithm. We present analyses of…

Constituency ParsingDecoderVietnamese DatasetsVietnamese Parsing

A Vietnamese Dataset for Evaluating Machine Reading Comprehension

2020-09-30 · Kiet Van Nguyen, Duc-Vu Nguyen, Anh Gia-Tuan Nguyen, Ngan Luu-Thuy Nguyen

Over 97 million people speak Vietnamese as their native language in the world. However, there are few research studies on machine reading comprehension (MRC) for Vietnamese, the task of understanding a text and answering…

ArticlesMachine Reading ComprehensionQuestion AnsweringReading Comprehension+3

Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture

2020-06-14 · Duc-Vu Nguyen, Dang Van Thin, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

In this paper, we approach Vietnamese word segmentation as a binary classification by using the Support Vector Machine classifier. We inherit features from prior works such as n-gram of syllables, n-gram of syllable type…

Binary ClassificationSegmentationVietnamese DatasetsVietnamese Word Segmentation

UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image Captioning

2020-02-01 · Quan Hoang Lam, Quang Duy Le, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen

Image Captioning, the task of automatic generation of image captions, has attracted attentions from researchers in many fields of computer science, being computer vision, natural language processing and machine learning …

Image CaptioningVietnamese DatasetsVietnamese Image Captioning

Introducing two Vietnamese Datasets for Evaluating Semantic Models of (Dis-)Similarity and Relatedness

2018-04-15 · NAACL 2018 6 · Kim Anh Nguyen, Sabine Schulte im Walde, Ngoc Thang Vu

We present two novel datasets for the low-resource language Vietnamese to assess models of semantic similarity: ViCon comprises pairs of synonyms and antonyms across word classes, thus offering data to distinguish betwee…

Semantic SimilaritySemantic Textual SimilarityVietnamese Datasets
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