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 8076–8100 of 10817 papers

TitleStatusHype
A Spoken Dialogue System for Spatial Question Answering in a Physical Blocks World—0
Learning from Explanations with Neural Execution TreeCode0
BAS: An Answer Selection Method Using BERT Language Model—0
Question Answering for Privacy Policies: Combining Computational and Legal PerspectivesCode0
MRNN: A Multi-Resolution Neural Network with Duplex Attention for Document Retrieval in the Context of Question Answering—0
Scene Graph based Image Retrieval -- A case study on the CLEVR Dataset—0
How to Pre-Train Your Model? Comparison of Different Pre-Training Models for Biomedical Question Answering—0
Asking Clarification Questions in Knowledge-Based Question Answering—0
Ranking and Sampling in Open-Domain Question Answering—0
Question Answering Using Hierarchical Attention on Top of BERT Features—0
Fine-tune BERT with Sparse Self-Attention Mechanism—0
Finding Generalizable Evidence by Learning to Convince Q\&A Models—0
Proceedings of the 2nd Workshop on Machine Reading for Question Answering—0
Extractive NarrativeQA with Heuristic Pre-Training—0
Exploring Diverse Expressions for Paraphrase Generation—0
A Recurrent BERT-based Model for Question GenerationCode0
On Making Reading Comprehension More Comprehensive—0
Can You Unpack That? Learning to Rewrite Questions-in-Context—0
Evaluating Question Answering Evaluation—0
Revisiting the Evaluation of Theory of Mind through Question Answering—0
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations—0
Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection—0
Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling—0
YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension—0
Answering Naturally: Factoid to Full length Answer GenerationCode0
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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