Bigram-CNN (lexical overlap + dist output)

Reported on 4 benchmarks across 1 task · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Question AnsweringonQASent
MAP· 2014-12-04
0.7113
best: 0.7339 (Attentive LSTM)
SOTA
Deep Learning for Answer Sentence Selection arXiv:1412.1632
Question AnsweringonQASent
MRR· 2014-12-04
0.7846
best: 0.8117 (Attentive LSTM)
SOTA
Deep Learning for Answer Sentence Selection arXiv:1412.1632
Question AnsweringonWikiQA
MAP· 2014-12-04
0.652
best: 0.927 (TANDA-DeBERTa-V3-Large + ALL)
SOTA
Deep Learning for Answer Sentence Selection arXiv:1412.1632
Question AnsweringonWikiQA
MRR· 2014-12-04
0.6652
best: 0.939 (TANDA-DeBERTa-V3-Large + ALL)
SOTA
Deep Learning for Answer Sentence Selection arXiv:1412.1632