Brian Davis
Brian Davis has 5 papers in our library, in 2018–2026, most of them on Sentiment & emotion, English, Semitic languages; often with Jane Lauren Adkins, Keith Cortis, Mark Andrade.
OpenAlex · ORCID · h-index 16 · 116 works · 1,158 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 Cited 70 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9868
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 4 worksComputer Science · 4 worksDecision Sciences · 1 workEconomics, Econometrics and Finance · 1 workFinance · 1 workManagement Science and Operations Research · 1 workArts and Humanities · 4 worksLanguage and Linguistics · 4 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 6Research subjects and languages the work is about.English · 3 worksSentiment & emotion · 3 worksSemitic languages · 2 worksLanguage models & pretraining · 1 workLow-resource languages · 1 workText generation · 1 work
Works by year
2020s
2010s
Papers
- FinSentiA: Sentiment Analysis in English Financial Microblogs (2018 · 8 citations)
The paper targets investor sentiment in English financial microblogs, a domain where most prior work assigned labels to whole sentences or documents, or scored only text spans that had already been isolated by hand. - Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social Data (2021 · 2 citations)
The paper builds benchmark classifiers for social opinion mining on online comments about Malta's annual Government Budget. - LLM Multi-Agent Systems for Long Triple Set Data-to-Text Generation (2026)
Most data-to-text (D2T) benchmarks pair short inputs with outputs of a few dozen tokens. As a result, it is unclear how LLMs handle large structured inputs, where single-pass generation tends to omit or invent facts. The authors build a new dataset of 669 DBpedia triple sets, each with 8 to 199 triples, drawn from… - Quality and Appropriateness of Large Text Datasets for Irish NLP (2026)
Irish is an official EU language but remains under-resourced. Most Irish text available for training NLP models comes from large, automatically assembled web corpora, and their quality has rarely been checked. Authors from the ADAPT Centre (Dublin City University) audit 14 such resources. These are the Irish portions… - Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony Detection (2022)
The paper sets reference points for opinion classification in a small, imbalanced setting where a low-resourced language is mixed with English.
All works
- SemEval-2017 Task 5: Fine-Grained Sentiment Analysis on Financial Microblogs and News ↗Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) · no summary yetKeith Cortis et al.2017 · 214 citations
- The SSIX Corpora: Three Gold Standard Corpora for Sentiment Analysis in English, Spanish and German Financial Microblogs ↗Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018) · no summary yetThomas Gaillat et al.2018 · 19 citations
- FinSentiA: Sentiment Analysis in English Financial MicroblogsJEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing)Thomas Gaillat, Annanda Sousa, Manel Zarrouk, et al.2018 · 8 citations
- Fine-tuning Neural Language Models for Multidimensional Opinion Mining of English-Maltese Social DataRecent Advances in Natural Language Processing (RANLP)Keith Cortis, Kanishk Verma, Brian Davis2021 · 2 citations
- LLM Multi-Agent Systems for Long Triple Set Data-to-Text GenerationFindings of the Association for Computational LinguisticsChinonso Cynthia Osuji, Simon Mille, Mark Andrade, et al.2026
- Quality and Appropriateness of Large Text Datasets for Irish NLPSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesAbigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.2026
- Baseline English and Maltese-English Classification Models for Subjectivity Detection, Sentiment Analysis, Emotion Analysis, Sarcasm Detection, and Irony DetectionSIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered LanguagesKeith Cortis, Brian Davis2022
Co-authors here
- Jane Lauren Adkins ×2
- Keith Cortis ×2
- Mark Andrade ×2
- Ornait O'Connell ×2
- Anya Belz
- Elaine Uí Dhonnchadha
- Simon Mille
- Thiago Castro Ferreira
- Thomas Gaillat
Venues
- SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages ×2: SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages 2026, SIGUL Joint Workshop with ELE, EURALI, and DCLRL: Towards Inclusivity and Equality: Language Resources and Technologies for Under-Resourced and Endangered Languages 2022
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing): JEP-TALN-RECITAL (the French-speaking conferences on speech and natural language processing) 2018
- Recent Advances in Natural Language Processing (RANLP): RANLP 2021
- Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)
- Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/brian-davis/