Question Answering On Wikiqa

Metrics

MAP

MRR

Results

Performance results of various models on this benchmark

			Paper Title
TANDA-DeBERTa-V3-Large + ALL	0.927	0.939	Structural Self-Supervised Objectives for Transformers
RLAS-BIABC	0.924	0.908	RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm
TANDA-RoBERTa (ASNQ, WikiQA)	0.920	0.933	TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection
DeBERTa-V3-Large + ALL	0.909	0.920	Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
DeBERTa-Large + SSP	0.901	0.914	Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
RoBERTa-Base + SSP	0.887	0.899	Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection
RoBERTa-Base Joint MSPP	0.887	0.900	Paragraph-based Transformer Pre-training for Multi-Sentence Inference
Comp-Clip + LM + LC	0.764	0.784	A Compare-Aggregate Model with Latent Clustering for Answer Selection
RE2	0.7452	0.7618	Simple and Effective Text Matching with Richer Alignment Features
HyperQA	0.712	0.727	Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering
PWIM	0.7090	0.7234	-
Key-Value Memory Network	0.7069	0.7265	Key-Value Memory Networks for Directly Reading Documents
LDC	0.7058	0.7226	Sentence Similarity Learning by Lexical Decomposition and Composition
PairwiseRank + Multi-Perspective CNN	0.7010	0.7180	Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency
AP-CNN	0.6886	0.6957	Attentive Pooling Networks
Attentive LSTM	0.6886	0.7069	Neural Variational Inference for Text Processing
LSTM (lexical overlap + dist output)	0.682	0.6988	Neural Variational Inference for Text Processing
MMA-NSE attention	0.6811	0.6993	Neural Semantic Encoders
SWEM-concat	0.6788	0.6908	Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms
LSTM	0.6552	0.6747	Neural Variational Inference for Text Processing

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Question Answering On Wikiqa

Metrics

Results

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Question Answering On Wikiqa

Metrics

Results