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 5901–5925 of 10817 papers

TitleStatusHype
Logical Story Representations via FrameNet + Semantic Parsing—0
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization—0
Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents—0
Learning to Transpile AMR into SPARQL—0
Retrieving Visual Facts For Few-Shot Visual Question Answering—0
Disaggregating Hops: Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at each Hop?—0
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation—0
StoryQA: Story Grounded Question Answering Dataset—0
Bayesian Deep Learning for Interactive Community Question Answering—0
An Encoder Attribution Analysis for Dense Passage Retriever in Open-Domain Question Answering—0
Knowledge Base Index Compression via Dimensionality and Precision Reduction—0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering—0
Probing the Role of Positional Information in Vision-Language Models—0
JointLK: Joint Reasoning with Language Models and Knowledge Graphs for Commonsense Question Answering—0
Data Augmentation for Biomedical Factoid Question Answering—0
A Two-Stage Approach towards Generalization in Knowledge Base Question Answering—0
MANGO: Enhancing the Robustness of VQA Models via Adversarial Noise Generation—0
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span Selection—0
Improving Data Augmentation in Low-resource Question Answering with Active Learning in Multiple Stages—0
Improved and Efficient Conversational Slot Labeling through Question Answering—0
Cooperative Self-training of Machine Reading Comprehension—0
Mining Information from Event Structure Relation Graph for Event Argument Extraction—0
Context-guided Triple Matching for Multiple Choice Question Answering—0
CONQRR: Conversational Query Rewriting for Retrieval with Reinforcement Learning—0
Mosaic Augmentation for Text: Cropping and Collaging as Cross-Domain Techniques—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