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 9901–9925 of 10817 papers

TitleStatusHype
Syntactic Parsing of Web Queries with Question Intent—0
Right-truncatable Neural Word Embeddings—0
Effective Crowd Annotation for Relation Extraction—0
Grounded Semantic Role Labeling—0
Bayesian Supervised Domain Adaptation for Short Text Similarity—0
Explicit Argument Identification for Discourse Parsing In Hindi: A Hybrid Pipeline—0
Question Answering with Knowledge Base, Web and Beyond—0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement—0
Combining syntactic patterns and Wikipedia's hierarchy of hyperlinks to extract meronym relations—0
An End-to-end Approach to Learning Semantic Frames with Feedforward Neural Network—0
Joint Learning with Global Inference for Comment Classification in Community Question Answering—0
Opinion Holder and Target Extraction on Opinion Compounds – A Linguistic Approach—0
Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking—0
Question Answering over Knowledge Base using Factual Memory Networks—0
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories—0
Recent Progress in Deep Learning for NLP—0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Boosting Question Answering by Deep Entity Recognition—0
Hierarchical Memory Networks—0
Ask Your Neurons: A Deep Learning Approach to Visual Question AnsweringCode0
LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues—0
Leveraging Visual Question Answering for Image-Caption Ranking—0
Monolingual Social Media Datasets for Detecting Contradiction and Entailment—0
Question-Answering with Logic Specific to Video Games—0
Using lexical and Dependency Features to Disambiguate Discourse Connectives in Hindi—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