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 8151–8200 of 10817 papers

TitleStatusHype
A Better Way to Attend: Attention with Trees for Video Question AnsweringCode0
Semantics-aware BERT for Language UnderstandingCode0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
From 'F' to 'A' on the N.Y. Regents Science Exams: An Overview of the Aristo Project—0
Answers Unite! Unsupervised Metrics for Reinforced Summarization ModelsCode0
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks—0
Neural Attentive Bag-of-Entities Model for Text ClassificationCode1
Language Models as Knowledge Bases?Code0
Attention-based Pairwise Multi-Perspective Convolutional Neural Network for Answer Selection in Question Answering—0
PlotQA: Reasoning over Scientific Plots—0
Classification Betters Regression in Query-based Multi-document Summarisation Techniques for Question Answering: Macquarie University at BioASQ7b—0
Question Similarity in Community Question Answering: A Systematic Exploration of Preprocessing Methods and ModelsCode0
Question Answering Systems Approaches and Challenges—0
EoANN: Lexical Semantic Relation Classification Using an Ensemble of Artificial Neural Networks—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
Semantic Textual Similarity with Siamese Neural Networks—0
Discourse-Based Approach to Involvement of Background Knowledge for Question Answering—0
Term-Based Extraction of Medical Information: Pre-Operative Patient Education Use Case—0
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?—0
Automatic Propbank Generation for Turkish—0
FriendsQA: Open-Domain Question Answering on TV Show Transcripts—0
Real Life Application of a Question Answering System Using BERT Language Model—0
QuASE: Question-Answer Driven Sentence EncodingCode0
Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension—0
QAInfomax: Learning Robust Question Answering System by Mutual Information MaximizationCode0
Single Training Dimension Selection for Word Embedding with PCA—0
Answering Conversational Questions on Structured Data without Logical Forms—0
Ellipsis Resolution as Question Answering: An EvaluationCode0
Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering—0
Adversarial Representation Learning for Text-to-Image Matching—0
Interactive Language Learning by Question AnsweringCode1
Visual Question Answering using Deep Learning: A Survey and Performance AnalysisCode0
Interactive Machine Comprehension with Information Seeking AgentsCode0
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning—0
Ensemble approach for natural language question answering problem—0
Attentive History Selection for Conversational Question AnsweringCode0
Propagate-Selector: Detecting Supporting Sentences for Question Answering via Graph Neural NetworksCode0
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering—0
Revisiting Semantic Representation and Tree Search for Similar Question RetrievalCode0
VL-BERT: Pre-training of Generic Visual-Linguistic RepresentationsCode1
LXMERT: Learning Cross-Modality Encoder Representations from TransformersCode1
GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level—0
Align, Mask and Select: A Simple Method for Incorporating Commonsense Knowledge into Language Representation Models—0
Question Answering based Clinical Text Structuring Using Pre-trained Language Model—0
Transfer in Deep Reinforcement Learning using Knowledge Graphs—0
Message Passing for Complex Question Answering over Knowledge GraphsCode0
A Study of BERT for Non-Factoid Question-Answering under Passage Length Constraints—0
What is needed for simple spatial language capabilities in VQA?—0
U-CAM: Visual Explanation using Uncertainty based Class Activation Maps—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—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