Patricia Gonçalves

Also published as: Patricia Nunes Gonçalves, Patrícia Gonçalves


Answering List Questions using Web as a corpus
Patrícia Gonçalves | António Branco
Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics


Treebanking by Sentence and Tree Transformation: Building a Treebank to support Question Answering in Portuguese
Patrícia Gonçalves | Rita Santos | António Branco
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

This paper presents CINTIL-QATreebank, a treebank composed of Portuguese sentences that can be used to support the development of Question Answering systems. To create this treebank, we use declarative sentences from the pre-existing CINTIL-Treebank and manually transform their syntactic structure into a non-declarative sentence. Our corpus includes two clause types: interrogative and imperative clauses. CINTIL-QATreebank can be used in language science and techology general research, but it was developed particularly for the development of automatic Question Answering systems. The non-declarative entences are annotated with several layers of linguistic information, namely (i) trees with information on constituency and grammatical function; (ii) sentence type; (iii) interrogative pronoun; (iv) question type; and (v) semantic type of expected answer. Moreover, these non-declarative sentences are paired with their declarative counterparts and associated with the expected answer snippets.


Uma abordagem de classificação automática para Tipo de Pergunta e Tipo de Resposta (An Automatic Approach for Classification of Question Type and Answer Type) [in Portuguese]
Patricia Nunes Gonçalves | António Horta Branco
Proceedings of the 8th Brazilian Symposium in Information and Human Language Technology


Top-Performing Robust Constituency Parsing of Portuguese: Freely Available in as Many Ways as you Can Get it
João Silva | António Branco | Patricia Gonçalves
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

In this paper we present LX-Parser, a probabilistic, robust constituency parser for Portuguese. This parser achieves ca. 88% f-score in the labeled bracketing task, thus reaching a state-of-the-art performance score that is in line with those that are currently obtained by top-ranking parsers for English, the most studied natural language. To the best of our knowledge, LX-Parser is the first state-of-the-art, robust constituency parser for Portuguese that is made freely available. This parser is being distributed in a variety of ways, each suited for a different type of usage. More specifically, LX-Parser is being made available (i) as a downloadable, stand-alone parsing tool that can be run locally by its users; (ii) as a Web service that exposes an interface that can be invoked remotely and transparently by client applications; and finally (iii) as an on-line parsing service, aimed at human users, that can be accessed through any common Web browser.