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 9426–9450 of 10817 papers

TitleStatusHype
Seq2seq for Morphological Reinflection: When Deep Learning Fails—0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
The Rich Event Ontology—0
SCIR-QA at SemEval-2017 Task 3: CNN Model Based on Similar and Dissimilar Information between Keywords for Question Similarity—0
Towards Harnessing Memory Networks for Coreference Resolution—0
UParse: the Edinburgh system for the CoNLL 2017 UD shared task—0
The Event StoryLine Corpus: A New Benchmark for Causal and Temporal Relation Extraction—0
Ways of Asking and Replying in Duplicate Question Detection—0
Sentence Alignment using Unfolding Recursive Autoencoders—0
MEMEN: Multi-layer Embedding with Memory Networks for Machine Comprehension—0
Exploring the Effectiveness of Convolutional Neural Networks for Answer Selection in End-to-End Question Answering—0
Question Dependent Recurrent Entity Network for Question AnsweringCode0
Hyperbolic Representation Learning for Fast and Efficient Neural Question AnsweringCode0
MatchZoo: A Toolkit for Deep Text MatchingCode0
Adversarial Examples for Evaluating Reading Comprehension SystemsCode0
Improved Bilinear Pooling with CNNs—0
Large-Scale Goodness Polarity Lexicons for Community Question Answering—0
Video Question Answering via Attribute-Augmented Attention Network Learning—0
Visual Question Answering with Memory-Augmented Networks—0
Evaluating Semantic Parsing against a Simple Web-based Question Answering ModelCode0
Quasar: Datasets for Question Answering by Search and ReadingCode0
Effective Approaches to Batch Parallelization for Dynamic Neural Network ArchitecturesCode0
Long-Term Memory Networks for Question Answering—0
An Attention Mechanism for Answer Selection Using a Combined Global and Local View—0
DeepStory: Video Story QA by Deep Embedded Memory Networks—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