Natural Language Engineering

Papers
(The TQCC of Natural Language Engineering is 3. 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 2020-10-01 to 2024-10-01.)
ArticleCitations
GPT-3: What’s it good for?236
Emerging trends: A gentle introduction to fine-tuning31
Comparison of text preprocessing methods28
A Survey on Machine Reading Comprehension Systems27
The automated writing assistance landscape in 202124
TNT-KID: Transformer-based neural tagger for keyword identification23
Comparison of rule-based and neural network models for negation detection in radiology reports20
Recent advances in processing negation18
Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?17
Automatic question generation based on sentence structure analysis using machine learning approach14
In-depth analysis of the impact of OCR errors on named entity recognition and linking14
Improving sentiment analysis with multi-task learning of negation14
Emojis as anchors to detect Arabic offensive language and hate speech14
Emerging Trends: SOTA-Chasing13
Natural language processing for similar languages, varieties, and dialects: A survey12
Named-entity recognition in Turkish legal texts11
UNLT: Urdu Natural Language Toolkit10
Turkish abstractive text summarization using pretrained sequence-to-sequence models8
Improving short text classification with augmented data using GPT-38
Enhancement of Twitter event detection using news streams8
SwitchNet: Learning to switch for word-level language identification in code-mixed social media text7
Gender bias in legal corpora and debiasing it7
Emerging trends: Deep nets for poets6
Deception detection in text and its relation to the cultural dimension of individualism/collectivism6
Describe the house and I will tell you the price: House price prediction with textual description data6
Automated hate speech detection and span extraction in underground hacking and extremist forums6
Sentence encoding for Dialogue Act classification5
How to do human evaluation: A brief introduction to user studies in NLP5
A survey of the extraction and applications of causal relations4
A note on constituent parsing for Korean4
Authorship attribution using author profiling classifiers4
The voice synthesis business: 2022 update4
SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media4
An empirical study of cyclical learning rate on neural machine translation4
Emerging trends: When can users trust GPT, and when should they intervene?4
Enhancing deep neural networks with morphological information3
Annotating argumentative structure in English-as-a-Foreign-Language learner essays3
Emerging trends: Smooth-talking machines3
Natural Language Processing for Corpus Linguistics by Jonathan Dunn. Cambridge: Cambridge University Press, 2022. ISBN 9781009070447 (PB), ISBN 9781009070447 (OC), vi+88 pages.3
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable3
Creation of annotated country-level dialectal Arabic resources: An unsupervised approach3
Lexicon or grammar? Using memory-based learning to investigate the syntactic relationship between Belgian and Netherlandic Dutch3
Gamified crowdsourcing for idiom corpora construction3
A transformer-based multi-task framework for joint detection of aggression and hate on social media data3
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents3
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information3
Topical language generation using transformers3
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