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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7526–7550 of 10817 papers

TitleStatusHype
Indic-Transformers: An Analysis of Transformer Language Models for Indian LanguagesCode0
Analyzing Sustainability Reports Using Natural Language ProcessingCode0
Reasoning Over History: Context Aware Visual Dialog—0
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular TasksCode0
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question AnsweringCode0
Coarse-to-Fine Query Focused Multi-Document Summarization—0
CHIME: Cross-passage Hierarchical Memory Network for Generative Review Question AnsweringCode0
Unsupervised Adaptation of Question Answering Systems via Generative Self-training—0
PALM: Pre-training an Autoencoding\&Autoregressive Language Model for Context-conditioned Generation—0
Open Domain Question Answering based on Text Enhanced Knowledge Graph with Hyperedge Infusion—0
CapWAP: Image Captioning with a Purpose—0
On the effectiveness of small, discriminatively pre-trained language representation models for biomedical text mining—0
Event Extraction as Multi-turn Question Answering—0
Event Extraction as Machine Reading Comprehension—0
Can Pre-training help VQA with Lexical Variations?—0
Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-TuningCode0
Multi-Task Learning using Dynamic Task Weighting for Conversational Question Answering—0
Enhancing Question Answering by Injecting Ontological Knowledge through Regularization—0
Methods for Numeracy-Preserving Word Embeddings—0
AnswerFact: Fact Checking in Product Question Answering—0
Biomedical Event Extraction as Multi-turn Question AnsweringCode0
DSNDM: Deep Siamese Neural Discourse Model with Attention for Text Pairs Categorization and Ranking—0
Do Transformers Dream of Inference, or Can Pretrained Generative Models Learn Implicit Inferential Rules?—0
Don’t Read Too Much Into It: Adaptive Computation for Open-Domain Question Answering—0
Deeply Embedded Knowledge Representation & Reasoning For Natural Language Question Answering: A Practitioner’s Perspective—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