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 9901–9950 of 10817 papers

TitleStatusHype
Learning Cross-lingual Representations with Matrix Factorization—0
Question Answering over Knowledge Base using Factual Memory Networks—0
Crowdsourcing for (almost) Real-time Question Answering—0
ArabTAG: from a Handcrafted to a Semi-automatically Generated TAG—0
Cross-Lingual Question Answering Using Common Semantic Space—0
Neural Enquirer: Learning to Query Tables in Natural Language—0
The Physics of Text: Ontological Realism in Information Extraction—0
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures—0
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports—0
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement—0
UofR at SemEval-2016 Task 8: Learning Synchronous Hyperedge Replacement Grammar for AMR Parsing—0
This is how we do it: Answer Reranking for Open-domain How Questions with Paragraph Vectors and Minimal Feature Engineering—0
Watson Discovery Advisor: Question-answering in an industrial setting—0
SemEval-2016 Task 1: Semantic Textual Similarity, Monolingual and Cross-Lingual Evaluation—0
VUACLTL at SemEval 2016 Task 12: A CRF Pipeline to Clinical TempEval—0
UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment ClassificationCode0
SLS at SemEval-2016 Task 3: Neural-based Approaches for Ranking in Community Question Answering—0
SemEval-2016 Task 13: Taxonomy Extraction Evaluation (TExEval-2)—0
Syntactic Parsing of Web Queries with Question Intent—0
Using Confusion Graphs to Understand Classifier Error—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
``Who was Pietro Badoglio?'' Towards a QA system for Italian History—0
Using lexical and Dependency Features to Disambiguate Discourse Connectives in Hindi—0
Dialog-based Language Learning—0
Question Answering via Integer Programming over Semi-Structured Knowledge—0
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions—0
Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering—0
Parallelizing Word2Vec in Shared and Distributed Memory—0
Why Artificial Intelligence Needs a Task Theory --- And What It Might Look Like—0
Moving Beyond the Turing Test with the Allen AI Science ChallengeCode0
Counting Everyday Objects in Everyday ScenesCode0
Method of Tibetan Person Knowledge Extraction—0
Intelligent information extraction based on artificial neural network—0
A Focused Dynamic Attention Model for Visual Question Answering—0
Character-Level Question Answering with AttentionCode0
Multi-Field Structural Decomposition for Question Answering—0
Neural Attention Models for Sequence Classification: Analysis and Application to Key Term Extraction and Dialogue Act Detection—0
Recurrent Batch NormalizationCode0
A Parallel-Hierarchical Model for Machine Comprehension on Sparse DataCode0
Recurrent Neural Network Encoder with Attention for Community Question Answering—0
Learning Executable Semantic Parsers for Natural Language Understanding—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Dynamic Memory Networks for Visual and Textual Question AnsweringCode0
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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