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 9301–9325 of 10817 papers

TitleStatusHype
Data Augmentation for Visual Question Answering—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
deepCybErNet at EmoInt-2017: Deep Emotion Intensities in Tweets—0
Constructing an Alias List for Named Entities during an Event—0
Multimedia Summary Generation from Online Conversations: Current Approaches and Future Directions—0
Deception Detection in News Reports in the Russian Language: Lexics and Discourse—0
Generating titles for millions of browse pages on an e-Commerce site—0
Spatial Language Understanding with Multimodal Graphs using Declarative Learning based Programming—0
Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation—0
Using Question-Answering Techniques to Implement a Knowledge-Driven Argument Mining Approach—0
Rhetorical relations markers in Russian RST Treebank—0
Sparsity and Noise: Where Knowledge Graph Embeddings Fall ShortCode0
Story Comprehension for Predicting What Happens Next—0
Latent Space Embedding for Retrieval in Question-Answer Archives—0
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems—0
No Need to Pay Attention: Simple Recurrent Neural Networks Work!—0
Neural Semantic Parsing with Type Constraints for Semi-Structured TablesCode0
Neural Net Models of Open-domain Discourse Coherence—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
A Question Answering Approach for Emotion Cause Extraction—0
Learning Contextually Informed Representations for Linear-Time Discourse Parsing—0
CROWD-IN-THE-LOOP: A Hybrid Approach for Annotating Semantic Roles—0
Exploiting Morphological Regularities in Distributional Word Representations—0
Importance sampling for unbiased on-demand evaluation of knowledge base population—0
Classification of telicity using cross-linguistic annotation projectionCode0
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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