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 7026–7050 of 10817 papers

TitleStatusHype
Knowledge Base Question Answering through Recursive Hypergraphs—0
Deep Learning and Continuous Representations for Natural Language Processing—0
OMoS-QA: A Dataset for Cross-Lingual Extractive Question Answering in a German Migration Context—0
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning—0
Knowledge Base Question Answering: A Semantic Parsing Perspective—0
Deep Fusion LSTMs for Text Semantic Matching—0
Knowledge Base Inference using Bridging Entities—0
On-Demand Distributional Semantic Distance and Paraphrasing—0
On-demand Injection of Lexical Knowledge for Recognising Textual Entailment—0
Deep Feature Fusion Network for Answer Quality Prediction in Community Question Answering—0
Knowledge Base Index Compression via Dimensionality and Precision Reduction—0
Knowledge-Based Visual Question Answering in Videos—0
Knowledge-Based Question Answering as Machine Translation—0
Deep Exemplar Networks for VQA and VQG—0
AVA: an Automatic eValuation Approach to Question Answering Systems—0
AVA: an Automatic eValuation Approach for Question Answering Systems—0
An Empirical Study on Leveraging Scene Graphs for Visual Question Answering—0
Advancing Question Answering on Handwritten Documents: A State-of-the-Art Recognition-Based Model for HW-SQuAD—0
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach—0
2nd Place Solution to the GQA Challenge 2019—0
On Evaluating Embedding Models for Knowledge Base Completion—0
Knowledge Based Machine Reading Comprehension—0
One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations—0
Knowledge-Based Counterfactual Queries for Visual Question Answering—0
Knowledge-based Conversational Search—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