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Estela Mosqueira Suárez

dblp:15/8154 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2

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

TopicWeightPapersLastEvidence papers
Natural language and speech › Information extraction and text analysis › phrase extraction
collocation extraction
0.412019
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
0.412019
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
YearPublicationVenuePosition
2019 Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations
abstract
This 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)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
LREC6