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Natural Language Processing
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Question Answering
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WikiQA
Question Answering on WikiQA
Metric: MRR (higher is better)
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#
Model
↕
MRR
▼
Extra Data
Paper
Date
↕
Code
1
TANDA-DeBERTa-V3-Large + ALL
0.939
Yes
Structural Self-Supervised Objectives for Transf...
2023-09-15
Code
2
TANDA-RoBERTa (ASNQ, WikiQA)
0.933
Yes
TANDA: Transfer and Adapt Pre-Trained Transforme...
2019-11-11
Code
3
DeBERTa-V3-Large + ALL
0.92
No
Pre-training Transformer Models with Sentence-Le...
2022-05-20
-
4
DeBERTa-Large + SSP
0.914
No
Pre-training Transformer Models with Sentence-Le...
2022-05-20
-
5
RLAS-BIABC
0.908
Yes
RLAS-BIABC: A Reinforcement Learning-Based Answe...
2023-01-07
-
6
RoBERTa-Base Joint MSPP
0.9
No
Paragraph-based Transformer Pre-training for Mul...
2022-05-02
Code
7
RoBERTa-Base + SSP
0.899
No
Pre-training Transformer Models with Sentence-Le...
2022-05-20
-
8
Comp-Clip + LM + LC
0.784
No
A Compare-Aggregate Model with Latent Clustering...
2019-05-30
-
9
RE2
0.7618
No
Simple and Effective Text Matching with Richer A...
2019-08-01
Code
10
HyperQA
0.727
No
Hyperbolic Representation Learning for Fast and ...
2017-07-25
Code
11
Key-Value Memory Network
0.7265
No
Key-Value Memory Networks for Directly Reading D...
2016-06-09
Code
12
PWIM
0.7234
No
-
-
-
13
LDC
0.7226
No
Sentence Similarity Learning by Lexical Decompos...
2016-02-23
Code
14
PairwiseRank + Multi-Perspective CNN
0.718
No
Noise Contrastive Estimation and Negative Sampli...
2018-09-06
-
15
Attentive LSTM
0.7069
No
Neural Variational Inference for Text Processing
2015-11-19
Code
16
MMA-NSE attention
0.6993
No
Neural Semantic Encoders
2016-07-14
Code
17
LSTM (lexical overlap + dist output)
0.6988
No
Neural Variational Inference for Text Processing
2015-11-19
Code
18
AP-CNN
0.6957
No
Attentive Pooling Networks
2016-02-11
Code
19
SWEM-concat
0.6908
No
Baseline Needs More Love: On Simple Word-Embeddi...
2018-05-24
Code
20
LSTM
0.6747
No
Neural Variational Inference for Text Processing
2015-11-19
Code
21
Bigram-CNN (lexical overlap + dist output)
0.6652
No
Deep Learning for Answer Sentence Selection
2014-12-04
Code
22
CNN-Cnt
0.6652
No
-
-
-
23
Bigram-CNN
0.6281
No
Deep Learning for Answer Sentence Selection
2014-12-04
Code
24
Paragraph vector (lexical overlap + dist output)
0.6058
No
Distributed Representations of Sentences and Doc...
2014-05-16
Code
25
Paragraph vector
0.516
No
Distributed Representations of Sentences and Doc...
2014-05-16
Code