Demo Data from VLDB 2026 / reviewers in the wild / expert
Margarita Alonso Ramos
dblp:61/8156
· DBLP profile ↗
6ranked-venue papers
2as first author
0since 2021 · last 2019
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Information extraction and text analysis · 50% Language models and text generation · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis › phrase extraction
collocation extraction |
0.4 | 1 | 2019 | Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations · ACL (1) 2019 |
Natural language and speech › Language models and text generation
text generation |
0.4 | 1 | 2019 | Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations · ACL (1) 2019 |
Methods — techniques the papers use, named apart from their topics
semantic annotation · 0.4dependency-based annotation · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of CollocationsabstractThis paper presents a multilingual corpus with semantic annotation of collocations in English, Portuguese, and Spanish.The whole resource contains 155k tokens and 1, 526 collocations labeled in context.The annotated examples belong to three syntactic structures (adjective-noun, verb-object, and nominal compounds), and represent 60 lexical functions in the Meaning-Text Theory (e.g., Oper, Magn, Bon, etc.).Each collocation was annotated by three linguists and the final resource was revised by a team of experts.The resulting corpora, which are freely available, can serve as a basis to evaluate different approaches for collocation identification and classification in three languages, which in turn can be useful for different NLP tasks such as natural language generation or understanding. Marcos García 0001, Marcos García-Salido, Susana Sotelo, Estela Mosqueira Suárez, Margarita Alonso Ramos |
ACL (1) | 5 |
| 2018 | A Lexical Tool for Academic Writing in Spanish based on Expert and Novice Corpora
Marcos García-Salido, Marcos García 0001, Milka Villayandre-Llamazares, Margarita Alonso Ramos |
LREC | 4 |
| 2010 | Towards a Motivated Annotation Schema of Collocation Errors in Learner Corpora
Margarita Alonso Ramos, Leo Wanner, Orsolya Vincze, Gerard Casamayor, Nancy Vázquez Veiga, Estela Mosqueira Suárez, Sabela Prieto González |
LREC | 1 |
| 2008 | Using Semantically Annotated Corpora to Build Collocation Resources
Margarita Alonso Ramos, Owen Rambow, Leo Wanner |
LREC | 1 |
| 2006 | Local Document Relevance Clustering in IR Using Collocation Information
Leo Wanner, Margarita Alonso Ramos |
LREC | 2 |
| 2004 | Enriching the Spanish EuroWordNet by Collocations
Leo Wanner, Margarita Alonso Ramos, Maria Antònia Martí |
LREC | 2 |