- Kenneth Church 0001, Annika Marie Schoene, John E. Ortega, Raman Chandrasekar, Valia Kordoni. Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable. Natural Language Engineering, 29(2):483-508, March 2023.
- Mohamed Chebel, Chiraz Latiri, Éric Gaussier. Efficient bilingual lexicon extraction from comparable corpora based on formal concepts analysis. Natural Language Engineering, 29(1):138-161, January 2023.
- Yizhu Liu, Xinyue Chen, Xusheng Luo, Kenny Q. Zhu. Reducing repetition in convolutional abstractive summarization. Natural Language Engineering, 29(1):81-109, January 2023.
- Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro. A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding. Natural Language Engineering, 29(1):1-31, January 2023.
- Caio Deutsch, Ivandré Paraboni. Authorship attribution using author profiling classifiers. Natural Language Engineering, 29(1):110-137, January 2023.
- Matej Klemen, Luka Krsnik, Marko Robnik-Sikonja. Enhancing deep neural networks with morphological information. Natural Language Engineering, 29(2):360-385, March 2023.
- Jennifer D'Souza 0001, Isaiah Onando Mulang', Sören Auer. Ranking facts for explaining answers to elementary science questions. Natural Language Engineering, 29(2):228-253, March 2023.
- Weixuan Wang, Choon Meng Lee, Jianfeng Liu, Talha Çolakoglu, Wei Peng. An empirical study of cyclical learning rate on neural machine translation. Natural Language Engineering, 29(2):316-336, March 2023.
- Ahmed Hamdi, Elvys Linhares Pontes, Nicolas Sidere, Mickaël Coustaty, Antoine Doucet. In-depth analysis of the impact of OCR errors on named entity recognition and linking. Natural Language Engineering, 29(2):425-448, March 2023.
- Nurullah Sevim, Furkan Sahinuç, Aykut Koç. Gender bias in legal corpora and debiasing it. Natural Language Engineering, 29(2):449-482, March 2023.