Natural Language Engineering

Papers
(The TQCC of Natural Language Engineering is 6. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2022-05-01 to 2026-05-01.)
ArticleCitations
Emerging trends: Smooth-talking machines175
From unified phrase representation to bilingual phrase alignment in an unsupervised manner44
NLE volume 28 issue 6 Cover and Back matter35
Towards diverse and contextually anchored paraphrase modeling: A dataset and baselines for Finnish26
Neural Arabic singular-to-plural conversion using a pretrained Character-BERT and a fused transformer25
Recognition of visual scene elements from a story text in Persian natural language22
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information21
Linguistically aware evaluation of coreference resolution from the perspective of higher-level applications19
An unsupervised perplexity-based method for boilerplate removal18
Killing me softly: Creative and cognitive aspects of implicitness in abusive language online18
Focusing on potential named entities during active label acquisition14
Emojis as anchors to detect Arabic offensive language and hate speech13
Anisotropic span embeddings and the negative impact of higher-order inference for coreference resolution: An empirical analysis13
Data-to-text generation using conditional generative adversarial with enhanced transformer12
NLP startup funding in 202210
Perceptional and actional enrichment for metaphor detection with sensorimotor norms10
The problem of varying annotations to identify abusive language in social media content8
SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media7
A comparison of latent semantic analysis and correspondence analysis of document-term matrices7
Neural automated writing evaluation for Korean L2 writing7
Creating a large-scale diachronic corpus resource: Automated parsing in the Greek papyri (and beyond)7
How you describe procurement calls matters: Predicting outcome of public procurement using call descriptions7
An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction7
Comparison of text preprocessing methods7
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents6
0.054133892059326