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 7526–7550 of 10817 papers

TitleStatusHype
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach—0
Data-Efficient French Language Modeling with CamemBERTa—0
Pretraining and Updates of Domain-Specific LLM: A Case Study in the Japanese Business Domain—0
Joint Inference for Heterogeneous Dependency Parsing—0
Joint Inference for Fine-grained Opinion Extraction—0
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?—0
Pre-training image-language transformers for open-vocabulary tasks—0
Data-Efficient Autoregressive Document Retrieval for Fact Verification—0
Pre-training Language Models with Deterministic Factual Knowledge—0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
Joint Image Captioning and Question Answering—0
Joint Event Trigger Identification and Event Coreference Resolution with Structured Perceptron—0
Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction—0
Pre-training Universal Language Representation—0
Joint Event Extraction along Shortest Dependency Paths using Graph Convolutional Networks—0
Pretrain Knowledge-Aware Language Models—0
PreWoMe: Exploiting Presuppositions as Working Memory for Long Form Question Answering—0
Joint Entity Recognition and Disambiguation—0
Automatic Coupling of Answer Extraction and Information Retrieval—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
JoBimText Visualizer: A Graph-based Approach to Contextualizing Distributional Similarity—0
Data augmentation techniques for the Video Question Answering task—0
Automatic Compound Processing: Compound Splitting and Semantic Analysis for Afrikaans and Dutch—0
Advances in Natural Language Question Answering: A Review—0
Data Augmentation for Visual Question Answering—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