Editorial Note.
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 215, doi. 10.1017/S1351324924000020
- By:
- Publication type:
- Article
Works matching IS 13513249 AND DT 2024 AND VI 30 AND IP 2
Results: 8
1
2
Emerging trends: When can users trust GPT, and when should they intervene?
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 417, doi. 10.1017/S1351324923000578
- By:
- Publication type:
- Article
3
Polish natural language inference and factivity: An expert-based dataset and benchmarks.
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 385, doi. 10.1017/S1351324923000220
- By:
- Publication type:
- Article
4
Urdu paraphrase detection: A novel DNN-based implementation using a semi-automatically generated corpus.
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 354, doi. 10.1017/S1351324923000189
- By:
- Publication type:
- Article
5
Determining sentiment views of verbal multiword expressions using linguistic features.
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 256, doi. 10.1017/S1351324923000153
- By:
- Publication type:
- Article
6
What should be encoded by position embedding for neural network language models?
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 294, doi. 10.1017/S1351324923000128
- By:
- Publication type:
- Article
7
Towards diverse and contextually anchored paraphrase modeling: A dataset and baselines for Finnish.
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 319, doi. 10.1017/S1351324923000086
- By:
- Publication type:
- Article
8
Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies.
- Published in:
- Natural Language Engineering, 2024, v. 30, n. 2, p. 217, doi. 10.1017/S1351324923000037
- By:
- Publication type:
- Article