WikiQA

Overview edit

Variants: WikiQA

Associated Benchmarks

This dataset is used in 1 benchmark:

• Question Answering - Metrics: MAP, MRR

Recent Benchmark Submissions

Research Papers

Recent papers with results on this dataset:

• Structural Self-Supervised Objectives for Transformers (2023) -
• RLAS-BIABC: A Reinforcement Learning-Based Answer Selection Using the BERT Model Boosted by an Improved ABC Algorithm (2023) -
• Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection (2022) -
• Paragraph-based Transformer Pre-training for Multi-Sentence Inference (2022) -
• TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection (2019) -
• Simple and Effective Text Matching with Richer Alignment Features (2019) -
• A Compare-Aggregate Model with Latent Clustering for Answer Selection (2019) -
• Noise Contrastive Estimation and Negative Sampling for Conditional Models: Consistency and Statistical Efficiency (2018) -
• Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling Mechanisms (2018) -
• Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering (2017) -
• Neural Semantic Encoders (2016) -
• Key-Value Memory Networks for Directly Reading Documents (2016) -
• Sentence Similarity Learning by Lexical Decomposition and Composition (2016) -
• Attentive Pooling Networks (2016) -
• Neural Variational Inference for Text Processing (2015) -
• Deep Learning for Answer Sentence Selection (2014) -
• Distributed Representations of Sentences and Documents (2014) -