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 8601–8650 of 10817 papers

TitleStatusHype
Answering Science Exam Questions Using Query Reformulation with Background Knowledge—0
On Generality and Knowledge Transferability in Cross-Domain Duplicate Question Detection for Heterogeneous Community Question Answering—0
Exploiting Sentence Embedding for Medical Question Answering—0
End-to-End Learning for Answering Structured Queries Directly over Text—0
Improving Skin Condition Classification with a Question Answering Model—0
Cross-lingual Short-text Matching with Deep Learning—0
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters—0
Blindfold Baselines for Embodied QACode0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
Holistic Multi-modal Memory Network for Movie Question Answering—0
CQASUMM: Building References for Community Question Answering Summarization CorporaCode0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
Densely Connected Attention Propagation for Reading ComprehensionCode1
Adversarial Sampling and Training for Semi-Supervised Information Retrieval—0
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach—0
Towards Compositional Distributional Discourse Analysis—0
Compositional Language Understanding with Text-based Relational ReasoningCode0
Parser Extraction of Triples in Unstructured TextCode0
Improving Span-based Question Answering Systems with Coarsely Labeled Data—0
ATP: Directed Graph Embedding with Asymmetric Transitivity PreservationCode0
CommonsenseQA: A Question Answering Challenge Targeting Commonsense KnowledgeCode1
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
Zero-Shot Transfer VQA Dataset—0
Automatic Opinion Question GenerationCode0
Exploiting Attention to Reveal Shortcomings in Memory Models—0
MindLab Neural Network Approach at BioASQ 6B—0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
Extraction Meets Abstraction: Ideal Answer Generation for Biomedical Questions—0
An Adaption of BIOASQ Question Answering dataset for Machine Reading systems by Manual Annotations of Answer Spans.—0
Proceedings of the 6th BioASQ Workshop A challenge on large-scale biomedical semantic indexing and question answering—0
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation—0
How much should you ask? On the question structure in QA systems.—0
Preferred Answer Selection in Stack Overflow: Better Text Representations ... and Metadata, Metadata, Metadata—0
AttentionMeSH: Simple, Effective and Interpretable Automatic MeSH Indexer—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
Results of the sixth edition of the BioASQ Challenge—0
Expletives in Universal Dependency TreebanksCode0
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures—0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks—0
Zero-shot Relation Classification as Textual Entailment—0
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets—0
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification—0
Retrieve and Re-rank: A Simple and Effective IR Approach to Simple Question Answering over Knowledge Graphs—0
UNCC QA: Biomedical Question Answering system—0
OpenKE: An Open Toolkit for Knowledge EmbeddingCode0
An Interactive Web-Interface for Visualizing the Inner Workings of the Question Answering LSTM—0
CogCompTime: A Tool for Understanding Time in Natural Language—0
Interactive Instance-based Evaluation of Knowledge Base Question AnsweringCode0
On the Generation of Medical Question-Answer Pairs—0
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA—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