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Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add French and German translation objectives to skip-thought next (ablation) | GenSen shared sentence encoder · Transfer benchmarks (10 tasks) | average improvement over Infersent (AllNLI): -2.56 -> 0.01 | Helped |
| add natural language inference training (ablation) | GenSen shared sentence encoder · Transfer benchmarks (10 tasks) | average improvement over Infersent (AllNLI): 0.01 -> 0.99 | Helped |
| increase encoder capacity with larger hidden units (ablation) | GenSen shared sentence encoder · Transfer benchmarks (10 tasks) | average improvement over Infersent (AllNLI): 0.99 -> 1.33 | Helped |
| add skip-thought previous objective (ablation) | GenSen shared sentence encoder · Transfer benchmarks (10 tasks) | average improvement over Infersent (AllNLI): 1.33 -> 1.44 | Helped |
| add a second encoder layer (ablation) | GenSen shared sentence encoder · Transfer benchmarks (10 tasks) | average improvement over Infersent (AllNLI): 1.44 -> 1.47 | Helped |
| add constituency parsing objective (ablation) | GenSen shared sentence encoder · SICK-R | Pearson correlation: 0.885 -> 0.888 | Helped |
| add constituency parsing objective (ablation) | GenSen shared sentence encoder · SICK-E | accuracy: 86.8 -> 87.8 | Helped |
| add parsing to the multi-task model (ablation) | GenSen shared sentence encoder · Sentence length probe | accuracy: 88.1 -> 93.7 | Helped |
| add parsing to the multi-task model (ablation) | GenSen shared sentence encoder · Word order probe | accuracy: 81.5 -> 83.1 | Helped |
| add NLI training to the multilingual skip-thought encoder (ablation) | GenSen sentence encoder · Passive syntax probe | accuracy: 97.0 -> 96.7 | Hurt |
| add NLI training to the multilingual skip-thought encoder (ablation) | GenSen sentence encoder · Tense syntax probe | accuracy: 97.0 -> 96.8 | Hurt |
| use a 2-layer encoder instead of a 1-layer large encoder (ablation) | GenSen shared sentence encoder · SST | accuracy: 84.0 -> 83.6 | Hurt |
Closest papers by meaning
- An efficient framework for learning sentence representations (ICLR 2018 · similarity 0.91)
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- Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations (ICLR 2022 · similarity 0.89)
- Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model (AAAI 2024 · similarity 0.89)
- Jointly Learning to Label Sentences and Tokens (AAAI 2019 · similarity 0.88)
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