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 8976–9000 of 10817 papers

TitleStatusHype
Focal Visual-Text Attention for Visual Question AnsweringCode0
Multi-Cast Attention Networks for Retrieval-based Question Answering and Response Prediction—0
On the Flip Side: Identifying Counterexamples in Visual Question Answering—0
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning—0
Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog—0
Natural Answer Generation with Heterogeneous Memory—0
EXPR at SemEval-2018 Task 9: A Combined Approach for Hypernym Discovery—0
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings—0
Pay-Per-Request Deployment of Neural Network Models Using Serverless Architectures—0
ArgumenText: Searching for Arguments in Heterogeneous Sources—0
Improve Neural Entity Recognition via Multi-Task Data Selection and Constrained Decoding—0
Looking Beyond the Surface: A Challenge Set for Reading Comprehension over Multiple Sentences—0
Learning Word Embeddings for Low-Resource Languages by PU Learning—0
Scaling Neural Machine TranslationCode0
Detecting and Resolving Shell Nouns in German—0
Domain-Sensitive Temporal Tagging By Jannik Str\"otgen, Michael Gertz—0
Coarse Lexical Frame Acquisition at the Syntax--Semantics Interface Using a Latent-Variable PCFG Model—0
Learning to Collaborate for Question Answering and Asking—0
IUCM at SemEval-2018 Task 11: Similar-Topic Texts as a Comprehension Knowledge SourceCode0
FEUP at SemEval-2018 Task 5: An Experimental Study of a Question Answering System—0
Neural Event Extraction from Movies Description—0
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge—0
Determining Event Durations: Models and Error Analysis—0
Jiangnan at SemEval-2018 Task 11: Deep Neural Network with Attention Method for Machine Comprehension Task—0
Categorizing Concepts With Basic Level for Vision-to-Language—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