Journal: Natural Language Engineering

Volume 27, Issue 6

647 -- 689Vigneshwaran Muralidaran, Irena Spasic, Dawn Knight. A systematic review of unsupervised approaches to grammar induction
691 -- 720Diana Nicoleta Popa, Julien Perez, James Henderson, Éric Gaussier. Towards syntax-aware token embeddings
721 -- 746Lütfi Kerem Senel, Ihsan Utlu, Furkan Sahinuç, Haldun M. Özaktas, Aykut Koç. Imparting interpretability to word embeddings while preserving semantic structure
747 -- 761Wang Wei, Xinyi Cao, He Li, Lingjie Shen, Yaqin Feng, Paul A. Watters. Improving speech emotion recognition based on acoustic words emotion dictionary
763 -- 778Kenneth Ward Church, Zeyu Chen, Yanjun Ma. Emerging trends: A gentle introduction to fine-tuning

Volume 27, Issue 5

519 -- 543Alakananda Vempala, Eduardo Blanco 0002. Temporally anchored spatial knowledge: Corpora and experiments
545 -- 574Jenna Kanerva, Filip Ginter, Tapio Salakoski. Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks
575 -- 607Khalid Alnajjar, Hannu Toivonen. Computational generation of slogans
609 -- 629Ahmet Üstün, Burcu Can. Incorporating word embeddings in unsupervised morphological segmentation
631 -- 645Kenneth Ward Church, Xiaopeng Yuan, Sheng Guo, Zewu Wu, Yehua Yang, Zeyu Chen. Emerging trends: Deep nets for poets

Volume 27, Issue 4

391 -- 425Nikiforos Pittaras, George Giannakopoulos, Georgios Papadakis 0001, Vangelis Karkaletsis. Text classification with semantically enriched word embeddings
427 -- 454Tirthankar Ghosal, Vignesh Edithal, Asif Ekbal, Pushpak Bhattacharyya, Srinivasa Satya Sameer Kumar Chivukula, George Tsatsaronis 0001. Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection
455 -- 483Cem Rifki Aydin, Tunga Güngör. Sentiment analysis in Turkish: Supervised, semi-supervised, and unsupervised techniques
485 -- 506Noe Casas, Marta R. Costa-Jussà, José A. R. Fonollosa, Juan A. Alonso, Ramón Fanlo. Linguistic knowledge-based vocabularies for Neural Machine Translation
507 -- 510Tsy Yih. Robert C. Berwick and Edward P. Stabler, editors. Minimalist Parsing. Oxford: Oxford University Press, 2019. ISBN: 978-0-19-879508-7. Price. $40.00 (paperback). $84.00 (hardcover). xvi+192 pages
511 -- 518Robert Dale, Jette Viethen. The automated writing assistance landscape in 2021

Volume 27, Issue 3

271 -- 292Sukanta Sen, Mohammed Hasanuzzaman, Asif Ekbal, Pushpak Bhattacharyya, Andy Way. Neural machine translation of low-resource languages using SMT phrase pair injection
293 -- 314Weibo Wang, Aminul Islam 0001, Abidalrahman Moh'd, Axel J. Soto, Evangelos E. Milios. Nonuniform language in technical writing: Detection and correction
315 -- 338Hala Mulki, Hatem Haddad, Mourad Gridach, Ismail Babaoglu. Syntax-ignorant N-gram embeddings for dialectal Arabic sentiment analysis
339 -- 372Hai Hu, Sandra Kübler. Investigating translated Chinese and its variants using machine learning
373 -- 375Haoda Feng, Feng Shi. Deep Learning in Natural Language Processing, edited by Li Deng and Yang Liu. Singapore: Springer, 2018. ISBN 9789811052088. XVII + 329 pages
377 -- 378Alexandra Birch. Neural Machine Translation 2020, by Philipp Koehn, Cambridge, Cambridge University Press, ISBN 978-1-108-49732-9, pages 393
379 -- 390Kenneth Ward Church, Valia Kordoni. Emerging trends: Ethics, intimidation, and the Cold War

Volume 27, Issue 2

119 -- 120Eduardo Blanco 0002, Roser Morante. Processing negation: An introduction to the special issue
121 -- 130Roser Morante, Eduardo Blanco 0002. Recent advances in processing negation
131 -- 152Mariona Taulé, Montserrat Nofre, Mónica González, Maria Antònia Martí. Focus of negation: Its identification in Spanish
153 -- 179Marc Schulder, Michael Wiegand, Josef Ruppenhofer. Automatic generation of lexica for sentiment polarity shifters
181 -- 201Clément Dalloux, Vincent Claveau, Natalia Grabar, Lucas Emanuel Silva e Oliveira, Claudia Maria Cabral Moro, Yohan Bonescki Gumiel, Deborah Ribeiro Carvalho. Supervised learning for the detection of negation and of its scope in French and Brazilian Portuguese biomedical corpora
203 -- 224D. Sykes, Andreas Grivas, Claire Grover, Richard Tobin, Cathie Sudlow, William Whiteley, Andrew M. McIntosh, Heather Whalley, Beatrice Alex. Comparison of rule-based and neural network models for negation detection in radiology reports
225 -- 248Salud María Jiménez Zafra, Noa P. Cruz Díaz, Maite Taboada, María-Teresa Martín Valdivia. Negation detection for sentiment analysis: A case study in Spanish
249 -- 269Jeremy Barnes, Erik Velldal, Lilja Øvrelid. Improving sentiment analysis with multi-task learning of negation

Volume 27, Issue 1

1 -- 33Keith Vertanen, Per Ola Kristensson. Mining, analyzing, and modeling text written on mobile devices
35 -- 64Emre Kagan Akkaya, Burcu Can. Transfer learning for Turkish named entity recognition on noisy text
65 -- 87Danish Contractor, Barun Patra, Mausam, Parag Singla. Constrained BERT BiLSTM CRF for understanding multi-sentence entity-seeking questions
89 -- 111Hosein Azarbonyad, Mostafa Dehghani 0001, Maarten Marx, Jaap Kamps. Learning to rank for multi-label text classification: Combining different sources of information
113 -- 118Robert Dale. GPT-3: What's it good for?