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Pablo Gamallo

Pablo Gamallo has 7 papers in our library, in 2014–2026, most of them on Idioms & multiword expressions, Machine translation, Language models & pretraining; often with Marcos Garcia, Lúa Santamaría Montesinos, Michele Joshua Maggini.

7 papers in our library · 2014–2026

OpenAlex · ORCID · h-index 12 · 39 works · 578 citations OpenAlex, 2026-10-14

📄 7 works in our library · 🔗 Cited 27 times in our library · ⭐ Paper Stars ranking: #6082

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Citius: A Naive-Bayes Strategy for Sentiment Analysis on English Tweets (2014 · 135 citations)
    The paper addresses SemEval-2014 Task 9, subtask B: deciding whether an English tweet is positive, negative or neutral.
  2. IberoBench: A Benchmark for LLM Evaluation in Iberian Languages (2025 · 24 citations)
    Multi-task benchmarks are now the standard way to assess base LLMs, but they exist almost only for English and a handful of other high-resource languages.
  3. Figurative, Polysemous, Conventional: Designing a Dataset of Regular Metaphor (2026)
    The authors address a gap in lexical semantics resources. Regular metonymy has dedicated datasets, but no comparable corpus exists for regular metaphor. Regular metaphor refers to conventionalized figurative mappings that recur across many words of a semantic domain and have become ordinary senses of polysemous…
  4. Improving Machine Translation of Idioms: A Spanish–Galician Parallel Dataset and Synthetic Augmentation Approach (2026)
    Neural MT systems, both seq2seq and LLM-based, often translate idioms word for word and miss their figurative meaning.
  5. Incorporating Multiword Expressions in Galician Neural Machine Translation: Compositionality, Efficiency, and Performance (2026)
    Neural MT systems often mistranslate multiword expressions (MWEs), especially idiomatic ones. Adding such knowledge to an existing model is hard: retraining is expensive, and fine-tuning can cause catastrophic forgetting. The authors address this for Galician, a low-resource language, translating into English (a…
  6. Par-ITA: Benchmarking Seq2Seq and LLMs on a Human-Supervised Parallel Corpus for Italian Hyperpartisan Neutralization (2026)
    Most work on rewriting hyperpartisan text into neutral language has targeted English, and Italian has had no dedicated resource. The authors built Par-ITA from the Italian portion of the SemEval 2023 Task 3 news data. It contains 2,475 paragraph pairs created under human supervision.
  7. PartisanLens: A Multilingual Dataset of Hyperpartisan and Conspiratorial Immigration Narratives in European Media (2026)
    Tools for spotting hyperpartisan reporting and Population Replacement Conspiracy Theories (PRCT) mostly rely on English, US-focused data.

 Co-authors here

11 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 27 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

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