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 9001–9025 of 10817 papers

TitleStatusHype
An Evaluation of Image-Based Verb Prediction Models against Human Eye-Tracking Data—0
Inducing Temporal Relations from Time Anchor AnnotationCode0
NLP\_HZ at SemEval-2018 Task 9: a Nearest Neighbor Approach—0
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming—0
CSReader at SemEval-2018 Task 11: Multiple Choice Question Answering as Textual Entailment—0
The Context-Dependent Additive Recurrent Neural Net—0
SemEval-2018 Task 9: Hypernym Discovery—0
Textbook Question Answering Under Instructor Guidance With Memory NetworksCode0
Tree Structured Dirichlet Processes for Hierarchical Morphological SegmentationCode0
SemEval 2018 Task 4: Character Identification on Multiparty Dialogues—0
Visually Guided Spatial Relation Extraction from Text—0
Stacked Latent Attention for Multimodal Reasoning—0
Stacking with Auxiliary Features for Visual Question Answering—0
Self-Training for Jointly Learning to Ask and Answer Questions—0
Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models—0
Syntactically Aware Neural Architectures for Definition Extraction—0
Verb Alternations and Their Impact on Frame Induction—0
SUNNYNLP at SemEval-2018 Task 10: A Support-Vector-Machine-Based Method for Detecting Semantic Difference using Taxonomy and Word Embedding FeaturesCode0
Telling Stories with Soundtracks: An Empirical Analysis of Music in Film—0
YNU-HPCC at Semeval-2018 Task 11: Using an Attention-based CNN-LSTM for Machine Comprehension using Commonsense Knowledge—0
YNU-HPCC at SemEval-2018 Task 12: The Argument Reasoning Comprehension Task Using a Bi-directional LSTM with Attention Model—0
Supervised Open Information Extraction—0
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks—0
Semantic Analysis of (Reflectional) Visual Symmetry: A Human-Centred Computational Model for Declarative Explainability—0
KG^2: Learning to Reason Science Exam Questions with Contextual Knowledge Graph Embeddings—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