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 8801–8825 of 10817 papers

TitleStatusHype
Computing Word Classes Using Spectral Clustering—0
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference—0
Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question AnsweringCode0
Lingke: A Fine-grained Multi-turn Chatbot for Customer Service—0
Learning to Represent Bilingual DictionariesCode0
Learning to Focus when Ranking Answers—0
Question-Guided Hybrid Convolution for Visual Question Answering—0
ODSQA: Open-domain Spoken Question Answering DatasetCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
Visual Reasoning with Multi-hop Feature ModulationCode0
WARP-Text: a Web-Based Tool for Annotating Relationships between Pairs of TextsCode0
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine—0
Scoring and Classifying Implicit Positive Interpretations: A Challenge of Class ImbalanceCode0
Towards Automated Extraction of Business Constraints from Unstructured Regulatory Text—0
The APVA-TURBO Approach To Question Answering in Knowledge Base—0
Semi-Supervised Disfluency Detection—0
Utilizing Graph Measure to Deduce Omitted Entities in Paragraphs—0
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network—0
Learning to Generate Word Representations using Subword Information—0
A LSTM Approach with Sub-Word Embeddings for Mongolian Phrase Break Prediction—0
A Review on Deep Learning Techniques Applied to Answer Selection—0
A Full End-to-End Semantic Role Labeler, Syntactic-agnostic Over Syntactic-aware?—0
Deep Bayesian Learning and Understanding—0
Integrating Question Classification and Deep Learning for improved Answer Selection—0
LCQMC:A Large-scale Chinese Question Matching Corpus—0
Show:102550
← PrevPage 353 of 433Next →
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