OOIR: Observatory of International Research

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 2020-10-01 to 2024-10-01.)

Article	Citations
GPT-3: What’s it good for?	236
Emerging trends: A gentle introduction to fine-tuning	31
Comparison of text preprocessing methods	28
A Survey on Machine Reading Comprehension Systems	27
The automated writing assistance landscape in 2021	24
TNT-KID: Transformer-based neural tagger for keyword identification	23
Comparison of rule-based and neural network models for negation detection in radiology reports	20
Recent advances in processing negation	18
Automatic classification of participant roles in cyberbullying: Can we detect victims, bullies, and bystanders in social media text?	17
Emojis as anchors to detect Arabic offensive language and hate speech	14
Automatic question generation based on sentence structure analysis using machine learning approach	14
In-depth analysis of the impact of OCR errors on named entity recognition and linking	14
Improving sentiment analysis with multi-task learning of negation	14
Emerging Trends: SOTA-Chasing	13
Natural language processing for similar languages, varieties, and dialects: A survey	12
Named-entity recognition in Turkish legal texts	11
UNLT: Urdu Natural Language Toolkit	10
Turkish abstractive text summarization using pretrained sequence-to-sequence models	8
Improving short text classification with augmented data using GPT-3	8
Enhancement of Twitter event detection using news streams	8
Gender bias in legal corpora and debiasing it	7
SwitchNet: Learning to switch for word-level language identification in code-mixed social media text	7
Automated hate speech detection and span extraction in underground hacking and extremist forums	6
Emerging trends: Deep nets for poets	6
Deception detection in text and its relation to the cultural dimension of individualism/collectivism	6

Describe the house and I will tell you the price: House price prediction with textual description data	6
How to do human evaluation: A brief introduction to user studies in NLP	5
Sentence encoding for Dialogue Act classification	5
An empirical study of cyclical learning rate on neural machine translation	4
Emerging trends: When can users trust GPT, and when should they intervene?	4
A survey of the extraction and applications of causal relations	4
A note on constituent parsing for Korean	4
Authorship attribution using author profiling classifiers	4
The voice synthesis business: 2022 update	4
SSL-GAN-RoBERTa: A robust semi-supervised model for detecting Anti-Asian COVID-19 hate speech on social media	4
Leveraging machine translation for cross-lingual fine-grained cyberbullying classification amongst pre-adolescents	3
RoLEX: The development of an extended Romanian lexical dataset and its evaluation at predicting concurrent lexical information	3
Topical language generation using transformers	3
Enhancing deep neural networks with morphological information	3
Annotating argumentative structure in English-as-a-Foreign-Language learner essays	3
Emerging trends: Smooth-talking machines	3
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 profitable	3
Creation of annotated country-level dialectal Arabic resources: An unsupervised approach	3
Lexicon or grammar? Using memory-based learning to investigate the syntactic relationship between Belgian and Netherlandic Dutch	3
Gamified crowdsourcing for idiom corpora construction	3
A transformer-based multi-task framework for joint detection of aggression and hate on social media data	3
Lightweight transformers for clinical natural language processing	2
NLP startup funding in 2022	2
Recognition of visual scene elements from a story text in Persian natural language	2
Towards improving coherence and diversity of slogan generation	2
Automated evaluation of the quality of ideas in compositions based on concept maps	2
$NLP: How to spend a billion dollars	2
Perceptional and actional enrichment for metaphor detection with sensorimotor norms	2
Neural Machine Translation 2020, by Philipp Koehn, Cambridge, Cambridge University Press, ISBN 978-1-108-49732-9, pages 393.	2
Abstract meaning representation of Turkish	2
Korean named entity recognition based on language-specific features	2
Killing me softly: Creative and cognitive aspects of implicitness in abusive language online	2
Cluster-based ensemble learning model for improving sentiment classification of Arabic documents	2
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.	2
Quantifying the impact of context on the quality of manual hate speech annotation	2
OffensEval 2023: Offensive language identification in the age of Large Language Models	2
A machine translation mechanism of Brazilian Portuguese to Libras with syntactic-semantic adequacy	2
Navigating the text generation revolution: Traditional data-to-text NLG companies and the rise of ChatGPT	2
Joint learning of morphology and syntax with cross-level contextual information flow	2
Construction Grammar Conceptual Network: Coordination-based graph method for semantic association analysis	1
An unsupervised perplexity-based method for boilerplate removal	1
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task – CORRIGENDUM	1
Towards universal methods for fake news detection	1
SAN-T2T: An automated table-to-text generator based on selective attention network	1
Creating a large-scale diachronic corpus resource: Automated parsing in the Greek papyri (and beyond)	1
Emerging trends: Ethics, intimidation, and the Cold War	1
A systematic review of unsupervised approaches to grammar induction	1
Processing negation: An introduction to the special issue	1
Morphosyntactic probing of multilingual BERT models	1

Overcoming Challenges in Corpus Construction: The Spoken British National Corpus 2014, by Robbie Love. New York: Routledge, 2020. ISBN 978-1-138-36737-1, xviii + 202 pages	1
Meemi: A simple method for post-processing and integrating cross-lingual word embeddings	1
Exploiting native language interference for native language identification	1
A benchmark for evaluating Arabic word embedding models	1
From theories on styles to their transfer in text: Bridging the gap with a hierarchical survey	1
Explainable lexical entailment with semantic graphs	1
Parameter-efficient feature-based transfer for paraphrase identification	1
Lyrics segmentation via bimodal text–audio representation	1
Improving semantic coverage of data-to-text generation model using dynamic memory networks	1
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity	1
Masked transformer through knowledge distillation for unsupervised text style transfer	1
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task	1
Machine Learning for Text, by Charu C. Aggarwal, New York, Springer, 2018. ISBN 9783319735306. XXIII + 493 pages.	1
A randomized prospective study of a hybrid rule- and data-driven virtual patient	1
How you describe procurement calls matters: Predicting outcome of public procurement using call descriptions	1
A comparison of latent semantic analysis and correspondence analysis of document-term matrices	1
Towards diverse and contextually anchored paraphrase modeling: A dataset and baselines for Finnish	1
From unified phrase representation to bilingual phrase alignment in an unsupervised manner	1
Abstractive summarization with deep reinforcement learning using semantic similarity rewards	1
Emerging trends: Deep nets thrive on scale	1
Reducing repetition in convolutional abstractive summarization	1
Focusing on potential named entities during active label acquisition	1