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 8351–8375 of 10817 papers

TitleStatusHype
CodeForTheChange at SemEval-2019 Task 8: Skip-Thoughts for Fact Checking in Community Question Answering—0
Fermi at SemEval-2019 Task 8: An elementary but effective approach to Question Discernment in Community QA Forums—0
DUTH at SemEval-2019 Task 8: Part-Of-Speech Features for Question Classification—0
DOMLIN at SemEval-2019 Task 8: Automated Fact Checking exploiting Ratings in Community Question Answering Forums—0
ColumbiaNLP at SemEval-2019 Task 8: The Answer is Language Model Fine-tuning—0
Improving Knowledge Base Construction from Robust Infobox Extraction—0
ProblemSolver at SemEval-2019 Task 10: Sequence-to-Sequence Learning and Expression Trees—0
Improved Lexically Constrained Decoding for Translation and Monolingual Rewriting—0
AUTOHOME-ORCA at SemEval-2019 Task 8: Application of BERT for Fact-Checking in Community Forums—0
Enhancing Key-Value Memory Neural Networks for Knowledge Based Question Answering—0
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with FreebaseCode0
On Knowledge distillation from complex networks for response prediction—0
Is It Dish Washer Safe? Automatically Answering ``Yes/No'' Questions Using Customer Reviews—0
Litigation Analytics: Extracting and querying motions and orders from US federal courts—0
ImageTTR: Grounding Type Theory with Records in Image Classification for Visual Question Answering—0
Predicting Helpful Posts in Open-Ended Discussion Forums: A Neural Architecture—0
BLCU\_NLP at SemEval-2019 Task 8: A Contextual Knowledge-enhanced GPT Model for Fact Checking—0
TueFact at SemEval 2019 Task 8: Fact checking in community question answering forums: context matters—0
SemEval-2019 Task 10: Math Question AnsweringCode0
Sequential Attention with Keyword Mask Model for Community-based Question AnsweringCode0
SolomonLab at SemEval-2019 Task 8: Question Factuality and Answer Veracity Prediction in Community Forums—0
DiffQue: Estimating Relative Difficulty of Questions in Community Question Answering ServicesCode0
Latent Retrieval for Weakly Supervised Open Domain Question AnsweringCode1
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems—0
Dynamic Fusion With Intra- and Inter-Modality Attention Flow for Visual Question Answering—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