SOTAVerified

Question Answering

Question answering can be segmented into domain-specific tasks like community question answering and knowledge-base question answering. Popular benchmark datasets for evaluation question answering systems include SQuAD, HotPotQA, bAbI, TriviaQA, WikiQA, and many others. Models for question answering are typically evaluated on metrics like EM and F1. Some recent top performing models are T5 and XLNet.

( Image credit: SQuAD )

Papers

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Showing 6476–6500 of 10817 papers

TitleStatusHype
Mongolian Questions Classification Based on Mulit-Head Attention—0
Barriers in Integrating Medical Visual Question Answering into Radiology Workflows: A Scoping Review and Clinicians' Insights—0
A Neural Question Answering Model Based on Semi-Structured Tables—0
Large language models in healthcare and medical domain: A review—0
Development of Hybrid Algorithm for Automatic Extraction of Multiword Expressions from Monolingual and Parallel Corpus of English and Punjabi—0
Monolingual Social Media Datasets for Detecting Contradiction and Entailment—0
Large Language Models for Social Networks: Applications, Challenges, and Solutions—0
Developing Question-Answering Models in Low-Resource Languages: A Case Study on Turkish Medical Texts Using Transformer-Based Approaches—0
Large Language Models for Multi-Choice Question Classification of Medical Subjects—0
Developing ML-based Systems to Extract Medical Information from Japanese Medical History Summaries—0
Barking Up The Syntactic Tree: Enhancing VLM Training with Syntactic Losses—0
A Neural Network Model for Low-Resource Universal Dependency Parsing—0
MoReVQA: Exploring Modular Reasoning Models for Video Question Answering—0
A Competence-aware Curriculum for Visual Concepts Learning via Question Answering—0
Morpho-syntactic Lexical Generalization for CCG Semantic Parsing—0
Morpho-Syntactic Study of Errors from Speech Recognition System—0
3D Concept Learning and Reasoning from Multi-View Images—0
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks—0
MORTY: Structured Summarization for Targeted Information Extraction from Scholarly Articles—0
Large Language Models for Judicial Entity Extraction: A Comparative Study—0
MOSMOS: Multi-organ segmentation facilitated by medical report supervision—0
Motion-Appearance Co-Memory Networks for Video Question Answering—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Large Language Models Can Self-Improve—0
Developing a How-to Tip Machine Comprehension Dataset and its Evaluation in Machine Comprehension by BERT—0
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All datasetsSQuAD2.0SQuAD1.1HotpotQAPIQABoolQCOPATriviaQASQuAD1.1 devNatural QuestionsOpenBookQATruthfulQAMultiRC

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IE-Net (ensemble)EM90.94—Unverified
2FPNet (ensemble)EM90.87—Unverified
3IE-NetV2 (ensemble)EM90.86—Unverified
4SA-Net on Albert (ensemble)EM90.72—Unverified
5SA-Net-V2 (ensemble)EM90.68—Unverified
6FPNet (ensemble)EM90.6—Unverified
7Retro-Reader (ensemble)EM90.58—Unverified
8EntitySpanFocusV2 (ensemble)EM90.52—Unverified
9TransNets + SFVerifier + SFEnsembler (ensemble)EM90.49—Unverified
10EntitySpanFocus+AT (ensemble)EM90.45—Unverified