Papers by Adriano Veloso
Synthetic Data Fine-Tuning for Effective Team Formation in Enterprises (2026.eacl-industry)
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| Challenge: | Existing algorithms for semantic search fine-tune text embeddings to retrieve and rank documents . word embedders allow search systems to measure semantic similarity between vectors . |
| Approach: | They evaluate the effectiveness of synthetic data fine-tuning for Semantic Search in a real-world Enterprise Team Formation problem scenario. |
| Outcome: | The proposed model outperforms existing models on a human-curated dataset. |
Automated Essay Scoring in the Presence of Biased Ratings (N18-1)
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| Challenge: | Existing studies on rater effects in general settings have not investigated how rater bias affects automated essay scoring. |
| Approach: | They propose to model rater bias by removing essays associated with potentially biased scores from annotated corpus. |
| Outcome: | The proposed model is based on comments provided by raters and is compared with existing corpus. |
Computing with Subjectivity Lexicons (2020.lrec-1)
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Caio L. M. Jeronimo, Claudio E. C. Campelo, Leandro Balby Marinho, Allan Sales, Adriano Veloso, Roberta Viola
| Challenge: | a new set of lexicons for expressing subjectivity in text documents is presented . lexiconics are useful resources for identifying semantics relevant to sentiment, emotion, personality, language bias, mood, and attitude. |
| Approach: | They propose a set of lexicons for expressing subjectivity in Brazilian Portuguese text documents . they use word embedding techniques to capture semantically related words to the ones in the lexicos . |
| Outcome: | The proposed lexicons represent different subjectivity dimensions and are more compact in number of terms. |