GPT-3: What's it good for?
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. 113, doi. 10.1017/S1351324920000601
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- Publication type:
- Article
Works matching IS 13513249 AND DT 2021 AND VI 27 AND IP 1
Results: 7
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Mining, analyzing, and modeling text written on mobile devices.
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. 1, doi. 10.1017/S1351324919000548
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- Publication type:
- Article
3
Transfer learning for Turkish named entity recognition on noisy text.
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. 35, doi. 10.1017/S1351324919000627
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- Publication type:
- Article
4
NLE volume 27 issue 1 Cover and Back matter.
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. b1, doi. 10.1017/S1351324920000625
- Publication type:
- Article
5
NLE volume 27 issue 1 Cover and Front matter.
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. f1, doi. 10.1017/S1351324920000613
- Publication type:
- Article
6
Learning to rank for multi-label text classification: Combining different sources of information.
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. 89, doi. 10.1017/S1351324920000029
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- Publication type:
- Article
7
Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions.
- Published in:
- Natural Language Engineering, 2021, v. 27, n. 1, p. 65, doi. 10.1017/S1351324920000017
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- Publication type:
- Article