Sandra Collovini

Also published as: S. Collovini


Processo de construção de um corpus anotado com Entidades Geológicas visando REN (Building an annotated corpus with geological entities for NER)[In Portuguese]
Daniela Amaral | Sandra Collovini | Anny Figueira | Renata Vieira | Renata Vieira | Marco Gonzalez
Proceedings of the 11th Brazilian Symposium in Information and Human Language Technology


A Sequence Model Approach to Relation Extraction in Portuguese
Sandra Collovini | Gabriel Machado | Renata Vieira
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

The task of Relation Extraction from texts is one of the main challenges in the area of Information Extraction, considering the required linguistic knowledge and the sophistication of the language processing techniques employed. This task aims at identifying and classifying semantic relations that occur between entities recognized in a given text. In this paper, we evaluated a Conditional Random Fields classifier for the extraction of any relation descriptor occurring between named entities (Organisation, Person and Place categories), as well as pre-defined relation types between these entities in Portuguese texts.

Summ-it++: an Enriched Version of the Summ-it Corpus
Evandro Fonseca | André Antonitsch | Sandra Collovini | Daniela Amaral | Renata Vieira | Anny Figueira
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper presents Summ-it++, an enriched version the Summ-it corpus. In this new version, the corpus has received new semantic layers, named entity categories and relations between named entities, adding to the previous coreference annotation. In addition, we change the original Summ-it format to SemEval


Semantic tagging for resolution of indirect anaphora
R. Vieira | E. Bick | J. Coelho | V. Muller | S. Collovini | J. Souza | L. Rino
Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue