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 9351–9400 of 10817 papers

TitleStatusHype
Coarse-to-Fine Attention Models for Document Summarization—0
oIQa: An Opinion Influence Oriented Question Answering Framework with Applications to Marketing Domain—0
Recognizing Textual Entailment in Twitter Using Word Embeddings—0
From Shakespeare to Twitter: What are Language Styles all about?—0
Context-Aware Representations for Knowledge Base Relation ExtractionCode0
Generating Answering Patterns from Factoid Arabic Questions—0
A Joint Sequential and Relational Model for Frame-Semantic Parsing—0
R^3: Reinforced Reader-Ranker for Open-Domain Question AnsweringCode0
Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events—0
TableQA: Question Answering on Tabular Data—0
Subspace Approximation for Approximate Nearest Neighbor Search in NLP—0
Learning to Paraphrase for Question Answering—0
A Question Answering Approach to Emotion Cause Extraction—0
Natural Language Processing: State of The Art, Current Trends and ChallengesCode0
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic SegmentationCode0
Mining Deep And-Or Object Structures via Cost-Sensitive Question-Answer-Based Active Annotations—0
Beyond Bilinear: Generalized Multimodal Factorized High-order Pooling for Visual Question AnsweringCode0
Learning to Disambiguate by Asking Discriminative Questions—0
Robust Computer Algebra, Theorem Proving, and Oracle AI—0
ISS-MULT: Intelligent Sample Selection for Multi-Task Learning in Question Answering—0
Asking Too Much? The Rhetorical Role of Questions in Political Discourse—0
Automatic Question-Answering Using A Deep Similarity Neural Network—0
Multi-modal Factorized Bilinear Pooling with Co-Attention Learning for Visual Question AnsweringCode0
MemexQA: Visual Memex Question AnsweringCode0
A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering ModelsCode0
Redundancy Localization for the Conversationalization of Unstructured Responses—0
PurdueNLP at SemEval-2017 Task 1: Predicting Semantic Textual Similarity with Paraphrase and Event Embeddings—0
A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB\_PRIR at BioASQ 2017 Task 5B—0
bunji at SemEval-2017 Task 3: Combination of Neural Similarity Features and Comment Plausibility Features—0
Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers—0
A Biomedical Question Answering System in BioASQ 2017—0
FA3L at SemEval-2017 Task 3: A ThRee Embeddings Recurrent Neural Network for Question Answering—0
Detecting Asymmetric Semantic Relations in Context: A Case-Study on Hypernymy Detection—0
FuRongWang at SemEval-2017 Task 3: Deep Neural Networks for Selecting Relevant Answers in Community Question Answering—0
GW\_QA at SemEval-2017 Task 3: Question Answer Re-ranking on Arabic Fora—0
KeLP at SemEval-2017 Task 3: Learning Pairwise Patterns in Community Question Answering—0
MoRS at SemEval-2017 Task 3: Easy to use SVM in Ranking Tasks—0
BIT at SemEval-2017 Task 1: Using Semantic Information Space to Evaluate Semantic Textual Similarity—0
Delexicalized transfer parsing for low-resource languages using transformed and combined treebanks—0
Results of the fifth edition of the BioASQ Challenge—0
Character Sequence-to-Sequence Model with Global Attention for Universal Morphological Reinflection—0
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts—0
Learning What is Essential in QuestionsCode0
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity—0
Assessing the performance of Olelo, a real-time biomedical question answering application—0
Automatic classification of doctor-patient questions for a virtual patient record query task—0
Cross-language Learning with Adversarial Neural Networks—0
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion—0
Hitachi at SemEval-2017 Task 12: System for temporal information extraction from clinical notes—0
Learning to Solve Geometry Problems from Natural Language Demonstrations in Textbooks—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