Natural Language Engineering

Papers
(The TQCC of Natural Language Engineering is 2. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
GPT-3: What’s it good for?177
A Survey on Machine Reading Comprehension Systems18
Comparison of rule-based and neural network models for negation detection in radiology reports17
TNT-KID: Transformer-based neural tagger for keyword identification16
The automated writing assistance landscape in 202116
Neural machine translation of low-resource languages using SMT phrase pair injection15
Natural language generation: The commercial state of the art in 202014
Recent advances in processing negation14
Text classification with semantically enriched word embeddings14
Emerging trends: A gentle introduction to fine-tuning14
Improving sentiment analysis with multi-task learning of negation14
Emerging Trends: SOTA-Chasing12
Automatic question generation based on sentence structure analysis using machine learning approach12
Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?11
Supervised learning for the detection of negation and of its scope in French and Brazilian Portuguese biomedical corpora10
Spoken Arabic dialect recognition using X-vectors10
Universal Lemmatizer: A sequence-to-sequence model for lemmatizing Universal Dependencies treebanks9
Emojis as anchors to detect Arabic offensive language and hate speech9
Natural language processing for similar languages, varieties, and dialects: A survey9
Comparison of text preprocessing methods8
Named-entity recognition in Turkish legal texts8
UNLT: Urdu Natural Language Toolkit7
Improving short text classification with augmented data using GPT-37
Computational generation of slogans7
Enhancement of Twitter event detection using news streams6
SwitchNet: Learning to switch for word-level language identification in code-mixed social media text6
Emerging trends: Deep nets for poets6
Gender bias in legal corpora and debiasing it6
Negation detection for sentiment analysis: A case study in Spanish6
Focus of negation: Its identification in Spanish6
Automatic generation of lexica for sentiment polarity shifters5
In-depth analysis of the impact of OCR errors on named entity recognition and linking5
Turkish abstractive text summarization using pretrained sequence-to-sequence models5
Is your document novel? Let attention guide you. An attention-based model for document-level novelty detection5
Automated hate speech detection and span extraction in underground hacking and extremist forums4
Improving speech emotion recognition based on acoustic words emotion dictionary4
Sentence encoding for Dialogue Act classification4
The voice synthesis business: 2022 update4
Sentiment analysis in Turkish: Supervised, semi-supervised, and unsupervised techniques4
Authorship attribution using author profiling classifiers3
An empirical study of cyclical learning rate on neural machine translation3
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information3
Compression versus traditional machine learning classifiers to detect code-switching in varieties and dialects: Arabic as a case study3
Deception detection in text and its relation to the cultural dimension of individualism/collectivism3
A survey of the extraction and applications of causal relations3
Killing me softly: Creative and cognitive aspects of implicitness in abusive language online3
A note on constituent parsing for Korean3
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable3
Improved feature decay algorithms for statistical machine translation3
A clustering framework for lexical normalization of Roman Urdu3
Natural Language Processing for Corpus Linguistics by Jonathan Dunn. Cambridge: Cambridge University Press, 2022. ISBN 9781009070447 (PB), ISBN 9781009070447 (OC), vi+88 pages.3
Enhancing deep neural networks with morphological information2
Benchmarks and goals2
Towards improving coherence and diversity of slogan generation2
Topical language generation using transformers2
Joint learning of morphology and syntax with cross-level contextual information flow2
Effective multi-dialectal arabic POS tagging2
Incorporating word embeddings in unsupervised morphological segmentation2
Lexicon or grammar? Using memory-based learning to investigate the syntactic relationship between Belgian and Netherlandic Dutch2
Automated evaluation of the quality of ideas in compositions based on concept maps2
SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media2
Linguistic knowledge-based vocabularies for Neural Machine Translation2
Creation of annotated country-level dialectal Arabic resources: An unsupervised approach2
Annotating argumentative structure in English-as-a-Foreign-Language learner essays2
Imparting interpretability to word embeddings while preserving semantic structure2
$NLP: How to spend a billion dollars2
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