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 8651–8675 of 10817 papers

TitleStatusHype
Translating Natural Language to SQL using Pointer-Generator Networks and How Decoding Order Matters—0
Holistic Multi-modal Memory Network for Movie Question Answering—0
An Introductory Survey on Attention Mechanisms in NLP Problems—0
CQASUMM: Building References for Community Question Answering Summarization CorporaCode0
Blindfold Baselines for Embodied QACode0
ReDecode Framework for Iterative Improvement in Paraphrase Generation—0
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
Learning to Rank Query Graphs for Complex Question Answering over Knowledge GraphsCode0
Zero-Shot Transfer VQA Dataset—0
Semantic role labeling tools for biomedical question answering: a study of selected tools on the BioASQ datasets—0
Zero-shot Relation Classification as Textual Entailment—0
Shifting the Baseline: Single Modality Performance on Visual Navigation & QA—0
Team SWEEPer: Joint Sentence Extraction and Fact Checking with Pointer Networks—0
Textbook Question Answering with Multi-modal Context Graph Understanding and Self-supervised Open-set Comprehension—0
SIRIUS-LTG: An Entity Linking Approach to Fact Extraction and Verification—0
UNCC QA: Biomedical Question Answering system—0
Frame- and Entity-Based Knowledge for Common-Sense Argumentative ReasoningCode0
How much should you ask? On the question structure in QA systems.—0
MindLab Neural Network Approach at BioASQ 6B—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