Overcoming Challenges in Corpus Construction: The Spoken British National Corpus 2014.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. 537, doi. 10.1017/S1351324921000085
- By:
- Publication type:
- Article
Works matching IS 13513249 AND DT 2022 AND VI 28 AND IP 4
Results: 8
1
2
NLE volume 28 issue 4 Cover and Front matter.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. f1, doi. 10.1017/S1351324922000249
- Publication type:
- Article
3
TNT-KID: Transformer-based neural tagger for keyword identification.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. 409, doi. 10.1017/S1351324921000127
- By:
- Publication type:
- Article
4
Automated evaluation of the quality of ideas in compositions based on concept maps.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. 449, doi. 10.1017/S1351324921000103
- By:
- Publication type:
- Article
5
Machine Learning for Text.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. 541, doi. 10.1017/S1351324920000637
- By:
- Publication type:
- Article
6
NLE volume 28 issue 4 Cover and Back matter.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. b1, doi. 10.1017/S1351324922000250
- Publication type:
- Article
7
Emerging trends: General fine-tuning (gft).
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. 519, doi. 10.1017/S1351324922000237
- By:
- Publication type:
- Article
8
Automatic question generation based on sentence structure analysis using machine learning approach.
- Published in:
- Natural Language Engineering, 2022, v. 28, n. 4, p. 487, doi. 10.1017/S1351324921000139
- By:
- Publication type:
- Article