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 6876–6900 of 10817 papers

TitleStatusHype
Attention-guided Generative Models for Extractive Question Answering—0
A Survey on Legal Question Answering Systems—0
Explainable Fact-checking through Question Answering—0
Beyond Accuracy: A Consolidated Tool for Visual Question Answering BenchmarkingCode0
AskMe: Joint Individual-level and Community-level Behavior Interaction for Question Recommendation—0
Enhance Long Text Understanding via Distilled Gist Detector from Abstractive Summarization—0
A Framework for Rationale Extraction for Deep QA models—0
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design—0
KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering—0
Multi-tasking Dialogue Comprehension with Discourse ParsingCode0
A Comparative Study of Transformer-Based Language Models on Extractive Question Answering—0
Noisy Text Data: Achilles' Heel of popular transformer based NLP models—0
GNN is a Counter? Revisiting GNN for Question Answering—0
COVIDRead: A Large-scale Question Answering Dataset on COVID-19—0
Perhaps PTLMs Should Go to School -- A Task to Assess Open Book and Closed Book QA—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Asking questions on handwritten document collections—0
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to InterfacesCode0
Perhaps PTLMs Should Go to School – A Task to Assess Open Book and Closed Book QA—0
A Flexible and Extensible Framework for Multiple Answer Modes Question Answering—0
Self-Attentive Constituency Parsing for UCCA-based Semantic Parsing—0
Generating Justifications in a Spatial Question-Answering Dialogue System for a Blocks World—0
Breaking Down Questions for Outside-Knowledge VQA—0
Variational Disentangled Attention for Regularized Visual Dialog—0
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models—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