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New Vietnamese Corpus for Machine Reading Comprehension of Health News Articles

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-58219-7_1openalex-snapshot
SberQuAD – Russian Reading Comprehension Dataset: Description and Analysis
inferredcites →https://doi.org/10.1007/978-3-030-79457-6_49openalex-snapshot
Constructive and Toxic Speech Detection for Open-Domain Social Media Comments in Vietnamese
inferredcites →https://doi.org/10.1007/978-3-319-07983-7_26openalex-snapshot
From Treebank Conversion to Automatic Dependency Parsing for Vietnamese
inferredcites →https://doi.org/10.1007/s10579-017-9398-3openalex-snapshot
Ensuring annotation consistency and accuracy for Vietnamese treebank
inferredcites →https://doi.org/10.1016/j.csl.2017.12.004openalex-snapshot
An empirical study on POS tagging for Vietnamese social media text
inferredcites →https://doi.org/10.1109/access.2020.3035701openalex-snapshot
Enhancing Lexical-Based Approach With External Knowledge for Vietnamese Multiple-Choice Machine Reading Comprehension
inferredcites →https://doi.org/10.1109/candarw.2019.00039openalex-snapshot
Ensemble Approach for Natural Language Question Answering Problem
inferredcites →https://doi.org/10.1109/ictai.2016.0128openalex-snapshot
SelQA: A New Benchmark for Selection-Based Question Answering
inferredcites →https://doi.org/10.1109/kse.2009.42openalex-snapshot
A Vietnamese Question Answering System
inferredcites →https://doi.org/10.1109/kse.2016.7758049openalex-snapshot
Vietnamese transition-based dependency parsing with supertag features
inferredcites →https://doi.org/10.1109/kse.2018.8573337openalex-snapshot
UIT-VSFC: Vietnamese Students’ Feedback Corpus for Sentiment Analysis
inferredcites →https://doi.org/10.1109/kse.2018.8573397openalex-snapshot
LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese
inferredcites →https://doi.org/10.1109/nics.2018.8606837openalex-snapshot
Deep Learning versus Traditional Classifiers on Vietnamese Students’ Feedback Corpus
inferredcites →https://doi.org/10.1145/1316457.1316460openalex-snapshot
Named entity recognition in Vietnamese using classifier voting
inferredcites →https://doi.org/10.1145/2990191openalex-snapshot
An Approach to Construct a Named Entity Annotated English-Vietnamese Bilingual Corpus
inferredcites →https://doi.org/10.1145/3359988openalex-snapshot
A Deep Neural Network Framework for English Hindi Question Answering
inferredcites →https://doi.org/10.1145/3365679openalex-snapshot
S 3 -NET
inferredcites →https://doi.org/10.1145/3442442openalex-snapshot
Companion Proceedings of the Web Conference 2021
inferredcites →https://doi.org/10.1145/3453651openalex-snapshot
Developing a Vietnamese Tourism Question Answering System Using Knowledge Graph and Deep Learning
inferredcites →https://doi.org/10.1162/tacl_a_00264openalex-snapshot
DREAM: A Challenge Data Set and Models for Dialogue-Based Reading Comprehension
inferredcites →https://doi.org/10.1162/tacl_a_00266openalex-snapshot
CoQA: A Conversational Question Answering Challenge
inferredcites →https://doi.org/10.1162/tacl_a_00300openalex-snapshot
SpanBERT: Improving Pre-training by Representing and Predicting Spans
inferredcites →https://doi.org/10.15625/1813-9663/34/4/13162openalex-snapshot
A TRANSFORMATION METHOD FOR ASPECT-BASED SENTIMENT ANALYSIS
inferredcites →https://doi.org/10.1609/aaai.v32i1.11970openalex-snapshot
Medical Exam Question Answering with Large-scale Reading Comprehension
inferredcites →https://doi.org/10.1609/aaai.v32i1.12053openalex-snapshot
R3: Reinforced Ranker-Reader for Open-Domain Question Answering
inferredcites →https://doi.org/10.17485/ijst/2016/v9i17/93160openalex-snapshot
Improving Question Classification by Feature Extraction and Selection
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.747openalex-snapshot
Unsupervised Cross-lingual Representation Learning at Scale
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.233openalex-snapshot
A Vietnamese Dataset for Evaluating Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.coling-main.589openalex-snapshot
A Sentence Cloze Dataset for Chinese Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.107openalex-snapshot
FQuAD: French Question Answering Dataset
inferredcites →https://doi.org/10.18653/v1/2020.findings-emnlp.364openalex-snapshot
A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
inferredcites →https://doi.org/10.18653/v1/d13-1020openalex-snapshot
MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text
inferredcites →https://doi.org/10.18653/v1/d16-1264openalex-snapshot
SQuAD: 100,000+ Questions for Machine Comprehension of Text
inferredcites →https://doi.org/10.18653/v1/d17-1082openalex-snapshot
RACE: Large-scale ReAding Comprehension Dataset From Examinations
inferredcites →https://doi.org/10.18653/v1/d18-1257openalex-snapshot
Large-scale Cloze Test Dataset Created by Teachers
inferredcites →https://doi.org/10.18653/v1/d18-2012openalex-snapshot
SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
inferredcites →https://doi.org/10.18653/v1/d19-1259openalex-snapshot
PubMedQA: A Dataset for Biomedical Research Question Answering
inferredcites →https://doi.org/10.18653/v1/d19-1600openalex-snapshot
A Span-Extraction Dataset for Chinese Machine Reading Comprehension
inferredcites →https://doi.org/10.18653/v1/k17-1028openalex-snapshot
Making Neural QA as Simple as Possible but not Simpler
inferredcites →https://doi.org/10.18653/v1/n18-1202openalex-snapshot
Deep Contextualized Word Representations
inferredcites →https://doi.org/10.18653/v1/n18-2openalex-snapshot
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/n19-4013openalex-snapshot
End-to-End Open-Domain Question Answering with BERTserini
inferredcites →https://doi.org/10.18653/v1/p17-1018openalex-snapshot
Gated Self-Matching Networks for Reading Comprehension and Question Answering
inferredcites →https://doi.org/10.18653/v1/p17-1171openalex-snapshot
Reading Wikipedia to Answer Open-Domain Questions
inferredcites →https://doi.org/10.18653/v1/p18-1031openalex-snapshot
Universal Language Model Fine-tuning for Text Classification
inferredcites →https://doi.org/10.18653/v1/p18-2124openalex-snapshot
Know What You Don’t Know: Unanswerable Questions for SQuAD
inferredcites →https://doi.org/10.18653/v1/w17-2623openalex-snapshot
NewsQA: A Machine Comprehension Dataset
inferredcites →https://doi.org/10.18653/v1/w18-2605openalex-snapshot
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
inferredcites →https://doi.org/10.18653/v1/w18-2610openalex-snapshot
Comparative Analysis of Neural QA models on SQuAD
inferredcites →https://doi.org/10.26615/978-954-452-056-4_147openalex-snapshot
ETNLP: A Visual-Aided Systematic Approach to Select Pre-Trained Embeddings for a Downstream Task
inferredcites →https://doi.org/10.3115/1698381.1698416openalex-snapshot
Building a large syntactically-annotated corpus of Vietnamese
inferredcites →https://doi.org/10.3115/v1/e14-2005openalex-snapshot
RDRPOSTagger: A Ripple Down Rules-based Part-Of-Speech Tagger
inferredcites →https://doi.org/10.3233/faia355openalex-snapshot
New Trends in Intelligent Software Methodologies, Tools and Techniques
inferredcites →https://doi.org/10.48550/arxiv.1506.03340openalex-snapshot
Teaching Machines to Read and Comprehend
inferredcites →https://doi.org/10.48550/arxiv.1511.02301openalex-snapshot
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
inferredcites →https://doi.org/10.48550/arxiv.1608.07905openalex-snapshot
Machine Comprehension Using Match-LSTM and Answer Pointer
inferredcites →https://doi.org/10.48550/arxiv.1611.01603openalex-snapshot
Bidirectional Attention Flow for Machine Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1711.05073openalex-snapshot
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
inferredcites →https://doi.org/10.48550/arxiv.1711.07341openalex-snapshot
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1806.00920openalex-snapshot
DRCD: a Chinese Machine Reading Comprehension Dataset
inferredcites →https://doi.org/10.48550/arxiv.1909.07005openalex-snapshot
KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension
inferredcites →https://doi.org/10.48550/arxiv.1911.07228openalex-snapshot
Error Analysis for Vietnamese Named Entity Recognition on Deep Neural Network Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Generative Pre‐Trained Transformer for Vietnamese Community‐Based COVID‐19 Question Answering
inferred← citeshttps://doi.org/10.1007/978-3-031-21743-2_45openalex-snapshot
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TVM-SimpleQA: A Factuality Evaluation Dataset for Traditional Vietnamese Medicine
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ViHERMES: A Graph-Grounded Multihop Question Answering Benchmark and System for Vietnamese Healthcare Regulations
inferred← citeshttps://doi.org/10.1007/s00521-024-09744-5openalex-snapshot
Numerical reasoning reading comprehension on Vietnamese COVID-19 news: task, corpus, and challenges
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inferred← citeshttps://doi.org/10.1007/s13042-022-01735-zopenalex-snapshot
Multi-stage transfer learning with BERTology-based language models for question answering system in vietnamese
inferred← citeshttps://doi.org/10.1007/s42452-026-08614-0openalex-snapshot
Research on English semantic modeling and understanding algorithm based on the SemBERT model of natural language processing
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130109openalex-snapshot
A new benchmark dataset and mixture-of-experts language models for adversarial natural language inference in Vietnamese
inferred← citeshttps://doi.org/10.1016/j.eswa.2026.132696openalex-snapshot
Natural language processing and computational linguistics for Vietnamese: A comprehensive review
inferred← citeshttps://doi.org/10.1055/s-0043-1768726openalex-snapshot
Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey
inferred← citeshttps://doi.org/10.1109/icce48956.2021.9352127openalex-snapshot
An Experimental Study of Deep Neural Network Models for Vietnamese Multiple-Choice Reading Comprehension
inferred← citeshttps://doi.org/10.1109/kse56063.2022.9953756openalex-snapshot
Ensemble Learning Methods for Legal Processing Tasks in ALQAC 2022
inferred← citeshttps://doi.org/10.1109/kse63888.2024.11063637openalex-snapshot
Vietnamese Legal Question Answering: An Experimental Study
inferred← citeshttps://doi.org/10.1109/mapr59823.2023.10288738openalex-snapshot
ViQP: Dataset for Vietnamese Question Paraphrasing
inferred← citeshttps://doi.org/10.1109/mapr72750.2026.11685764openalex-snapshot
Evaluating the Robustness of Retrieval-Augmented Generation Against Character-Level Poisoning Attacks in Vietnamese Question Answering
inferred← citeshttps://doi.org/10.1109/nics56915.2022.10013390openalex-snapshot
Integrating Semantic Information into Sketchy Reading Module of Retro-Reader for Vietnamese Machine Reading Comprehension
inferred← citeshttps://doi.org/10.1109/rivf60135.2023.10471875openalex-snapshot
Question Generation: An Experimental Study for Vietnamese Text
inferred← citeshttps://doi.org/10.1142/s2717554525500043openalex-snapshot
ViMMRC 2.0 — Enhancing Machine Reading Comprehension on Vietnamese Literature Text
inferred← citeshttps://doi.org/10.1145/3675781openalex-snapshot
Towards Vietnamese Question and Answer Generation: An Empirical Study
inferred← citeshttps://doi.org/10.1162/dint_a_00210openalex-snapshot
Knowledge Graph based Mutual Attention for Machine Reading Comprehension over Anti-Terrorism Corpus
inferred← citeshttps://doi.org/10.1371/journal.pone.0340771openalex-snapshot
ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering
inferred← citeshttps://doi.org/10.18653/v1/2020.wnut-1.53openalex-snapshot
UIT-HSE at WNUT-2020 Task 2: Exploiting CT-BERT for Identifying COVID-19 Information on the Twitter Social Network
inferred← citeshttps://doi.org/10.18653/v1/2023.eacl-srw.1openalex-snapshot
Revealing Weaknesses of Vietnamese Language Models Through Unanswerable Questions in Machine Reading Comprehension
inferred← citeshttps://doi.org/10.18653/v1/2023.emnlp-industry.70openalex-snapshot
ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations
inferred← citeshttps://doi.org/10.18870/hlrc.v14i2.1557openalex-snapshot
Integrating Corpus Linguistics in Vietnamese English Education: A Qualitative Inquiry into Scholarly Perspectives and Practices
inferred← citeshttps://doi.org/10.25073/2588-1086/vnucsce.316openalex-snapshot
ViMRC - VLSP 2021: Context-Aware Answer Extraction in Vietnamese Question Answering
inferred← citeshttps://doi.org/10.25073/2588-1086/vnucsce.340openalex-snapshot
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inferred← citeshttps://doi.org/10.25073/2588-1086/vnucsce.346openalex-snapshot
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inferred← citeshttps://doi.org/10.25073/2588-1086/vnucsce.364openalex-snapshot
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inferred← citeshttps://doi.org/10.3837/tiis.2023.10.007openalex-snapshot
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inferred← citeshttps://doi.org/10.48550/arxiv.2105.09043openalex-snapshot
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