# Analogical Question Answering on WikiQA (test)

Source: [Analogical Question Answering on WikiQA (test)](<https://www.sota2.com/research/sota/analogical-question-answering-on-wikiqa-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:49:35.239Z

Evaluation of model performance on the test split of the WikiQA dataset for the Analogical Question Answering task, reporting MAP and MRR.

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Analogical Question Answering |
| Dataset (including any stated split) | WikiQA (test) |
| Metric | MAP |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [MAP](<https://www.sota2.com/research/sota/analogical-question-answering-on-wikiqa-test.md?metric=MAP>): Higher is better; unit: SCALAR.

- [MRR](<https://www.sota2.com/research/sota/analogical-question-answering-on-wikiqa-test.md?metric=MRR>): Higher is better; unit: SCALAR.

## Recorded results

| Method | MAP | Result date | Report paper |
| --- | --- | --- | --- |
| Quadruple Siamese Network | 0.677 | Not recorded | 68fa68e11e209131cea1ef2d |
| Sent2Vec | 0.481 | Not recorded | 68fa68e11e209131cea1ef2d |
| Glove | 0.464 | Not recorded | 68fa68e11e209131cea1ef2d |
| Word2Vec | 0.432 | Not recorded | 68fa68e11e209131cea1ef2d |
| InferSent | 0.399 | Not recorded | 68fa68e11e209131cea1ef2d |

### Quadruple Siamese Network

MAP: 0.677. Result ID: 698d8c478b517eb433224a57.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68e11e209131cea1ef2d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68e11e209131cea1ef2d.md>)

Recorded evaluation configuration: {"Embedding Type":"Analogical Embedding (Proposed)"}. This record does not assert independent reproduction.

### Sent2Vec

MAP: 0.481. Result ID: 698d8c478b517eb433224a56.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68e11e209131cea1ef2d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa65381e209131cea09192.md>)

Recorded evaluation configuration: {"Embedding Type":"Dedicated Sentence Embeddings (S.E.)"}. This record does not assert independent reproduction.

### Glove

MAP: 0.464. Result ID: 698d8c478b517eb433224a53.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68e11e209131cea1ef2d.md>)

Recorded evaluation configuration: {"Embedding Type":"Word Embedding Averaging (W.E.)"}. This record does not assert independent reproduction.

### Word2Vec

MAP: 0.432. Result ID: 698d8c478b517eb433224a54.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68e11e209131cea1ef2d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa61151e209131ce9f2ac1.md>)

Recorded evaluation configuration: {"Embedding Type":"Word Embedding Averaging (W.E.)"}. This record does not assert independent reproduction.

### InferSent

MAP: 0.399. Result ID: 698d8c478b517eb433224a55.

[Reporting paper](<https://www.sota2.com/research/paper/68fa68e11e209131cea1ef2d.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa64851e209131cea051f9.md>)

[Implementation](<https://www.github.com/facebookresearch/InferSent>)

Recorded evaluation configuration: {"Embedding Type":"Dedicated Sentence Embeddings (S.E.)"}. This record does not assert independent reproduction.

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