Natural Language Engineering

Papers
(The median citation count of Natural Language Engineering is 1. 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 2020-07-01 to 2024-07-01.)
ArticleCitations
GPT-3: What’s it good for?206
Emerging trends: A gentle introduction to fine-tuning24
A Survey on Machine Reading Comprehension Systems24
The automated writing assistance landscape in 202121
TNT-KID: Transformer-based neural tagger for keyword identification20
Comparison of text preprocessing methods19
Comparison of rule-based and neural network models for negation detection in radiology reports18
Recent advances in processing negation18
Improving sentiment analysis with multi-task learning of negation14
Emerging Trends: SOTA-Chasing13
Automatic question generation based on sentence structure analysis using machine learning approach13
Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?12
Natural language processing for similar languages, varieties, and dialects: A survey11
Named-entity recognition in Turkish legal texts11
Emojis as anchors to detect Arabic offensive language and hate speech10
UNLT: Urdu Natural Language Toolkit8
Focus of negation: Its identification in Spanish8
Enhancement of Twitter event detection using news streams8
Negation detection for sentiment analysis: A case study in Spanish8
Gender bias in legal corpora and debiasing it7
In-depth analysis of the impact of OCR errors on named entity recognition and linking7
SwitchNet: Learning to switch for word-level language identification in code-mixed social media text7
Improving short text classification with augmented data using GPT-37
Turkish abstractive text summarization using pretrained sequence-to-sequence models6
Emerging trends: Deep nets for poets6
Automatic generation of lexica for sentiment polarity shifters5
Deception detection in text and its relation to the cultural dimension of individualism/collectivism5
Sentence encoding for Dialogue Act classification5
Automated hate speech detection and span extraction in underground hacking and extremist forums4
Improved feature decay algorithms for statistical machine translation4
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
The voice synthesis business: 2022 update4
A survey of the extraction and applications of causal relations4
A note on constituent parsing for Korean4
Linguistic knowledge-based vocabularies for Neural Machine Translation3
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information3
Emerging trends: Unfair, biased, addictive, dangerous, deadly, and insanely profitable3
Gamified crowdsourcing for idiom corpora construction3
Authorship attribution using author profiling classifiers3
Enhancing deep neural networks with morphological information3
Natural Language Processing for Corpus Linguistics by Jonathan Dunn. Cambridge: Cambridge University Press, 2022. ISBN 9781009070447 (PB), ISBN 9781009070447 (OC), vi+88 pages.3
Towards improving coherence and diversity of slogan generation2
Recognition of visual scene elements from a story text in Persian natural language2
Topical language generation using transformers2
Joint learning of morphology and syntax with cross-level contextual information flow2
NLP startup funding in 20222
Benchmarks and goals2
Korean named entity recognition based on language-specific features2
Annotating argumentative structure in English-as-a-Foreign-Language learner essays2
Killing me softly: Creative and cognitive aspects of implicitness in abusive language online2
Automated evaluation of the quality of ideas in compositions based on concept maps2
Emerging trends: Smooth-talking machines2
Neural Machine Translation 2020, by Philipp Koehn, Cambridge, Cambridge University Press, ISBN 978-1-108-49732-9, pages 393.2
Creation of annotated country-level dialectal Arabic resources: An unsupervised approach2
Emerging trends: When can users trust GPT, and when should they intervene?2
Lexicon or grammar? Using memory-based learning to investigate the syntactic relationship between Belgian and Netherlandic Dutch2
Describe the house and I will tell you the price: House price prediction with textual description data2
$NLP: How to spend a billion dollars2
Towards syntax-aware token embeddings2
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents2
Incorporating word embeddings in unsupervised morphological segmentation2
Processing negation: An introduction to the special issue1
NLE volume 26 issue 5 Cover and Back matter1
Morphosyntactic probing of multilingual BERT models1
An unsupervised perplexity-based method for boilerplate removal1
Towards universal methods for fake news detection1
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task1
OffensEval 2023: Offensive language identification in the age of Large Language Models1
A randomized prospective study of a hybrid rule- and data-driven virtual patient1
Parameter-efficient feature-based transfer for paraphrase identification1
Text Mining with R: A Tidy Approach, by Julia Silge and David Robinson. Sebastopol, CA: O’Reilly Media, 2017. ISBN 978-1-491-98165-8. XI + 184 pages.1
Creating a large-scale diachronic corpus resource: Automated parsing in the Greek papyri (and beyond)1
Lightweight transformers for clinical natural language processing1
A systematic review of unsupervised approaches to grammar induction1
Reducing repetition in convolutional abstractive summarization1
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity1
Abstract meaning representation of Turkish1
A machine translation mechanism of Brazilian Portuguese to Libras with syntactic-semantic adequacy1
A benchmark for evaluating Arabic word embedding models1
Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis1
Explainable lexical entailment with semantic graphs1
SAN-T2T: An automated table-to-text generator based on selective attention network1
Cluster-based ensemble learning model for improving sentiment classification of Arabic documents1
A comparison of latent semantic analysis and correspondence analysis of document-term matrices1
Emerging trends: Ethics, intimidation, and the Cold War1
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task – CORRIGENDUM1
Emerging trends: Deep nets thrive on scale1
Quantifying the impact of context on the quality of manual hate speech annotation1
Machine Learning for Text, by Charu C. Aggarwal, New York, Springer, 2018. ISBN 9783319735306. XXIII + 493 pages.1
Meemi: A simple method for post-processing and integrating cross-lingual word embeddings1
How you describe procurement calls matters: Predicting outcome of public procurement using call descriptions1
How to do human evaluation: A brief introduction to user studies in NLP1
Cluster-based mention typing for named entity disambiguation1
Exploiting native language interference for native language identification1
Towards diverse and contextually anchored paraphrase modeling: A dataset and baselines for Finnish1
Improving semantic coverage of data-to-text generation model using dynamic memory networks1
From unified phrase representation to bilingual phrase alignment in an unsupervised manner1
A transformer-based multi-task framework for joint detection of aggression and hate on social media data1
Unsupervised Arabic dialect segmentation for machine translation1
Lyrics segmentation via bimodal text–audio representation1
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