Livy Real


mwetoolkit-lib: Adaptation of the mwetoolkit as a Python Library and an Application to MWE-based Document Clustering
Fernando Zagatti | Paulo Augusto de Lima Medeiros | Esther da Cunha Soares | Lucas Nildaimon dos Santos Silva | Carlos Ramisch | Livy Real
Proceedings of the 18th Workshop on Multiword Expressions @LREC2022

This paper introduces the mwetoolkit-lib, an adaptation of the mwetoolkit as a python library. The original toolkit performs the extraction and identification of multiword expressions (MWEs) in large text bases through the command line. One of the contributions of our work is the adaptation of the MWE extraction pipeline from the mwetoolkit, allowing its usage in python development environments and integration in larger pipelines. The other contribution is the execution of a pilot experiment aiming to show the impact of MWE discovery in data professionals’ work. This experiment found that the addition of MWE knowledge to the Term Frequency-Inverse Document Frequency (TF-IDF) vectorization altered the word relevance order, improving the linguistic quality of the clusters returned by k-means method.


Explaining Simple Natural Language Inference
Aikaterini-Lida Kalouli | Annebeth Buis | Livy Real | Martha Palmer | Valeria de Paiva
Proceedings of the 13th Linguistic Annotation Workshop

The vast amount of research introducing new corpora and techniques for semi-automatically annotating corpora shows the important role that datasets play in today’s research, especially in the machine learning community. This rapid development raises concerns about the quality of the datasets created and consequently of the models trained, as recently discussed with respect to the Natural Language Inference (NLI) task. In this work we conduct an annotation experiment based on a small subset of the SICK corpus. The experiment reveals several problems in the annotation guidelines, and various challenges of the NLI task itself. Our quantitative evaluation of the experiment allows us to assign our empirical observations to specific linguistic phenomena and leads us to recommendations for future annotation tasks, for NLI and possibly for other tasks.


Universal Dependencies for Portuguese
Alexandre Rademaker | Fabricio Chalub | Livy Real | Cláudia Freitas | Eckhard Bick | Valeria de Paiva
Proceedings of the Fourth International Conference on Dependency Linguistics (Depling 2017)

Textual Inference: getting logic from humans
Aikaterini-Lida Kalouli | Livy Real | Valeria de Paiva
IWCS 2017 — 12th International Conference on Computational Semantics — Short papers

Correcting Contradictions
Aikaterini-Lida Kalouli | Valeria de Paiva | Livy Real
Proceedings of the Computing Natural Language Inference Workshop


An overview of Portuguese WordNets
Valeria de Paiva | Livy Real | Hugo Gonçalo Oliveira | Alexandre Rademaker | Cláudia Freitas | Alberto Simões
Proceedings of the 8th Global WordNet Conference (GWC)

Semantic relations between words are key to building systems that aim to understand and manipulate language. For English, the “de facto” standard for representing this kind of knowledge is Princeton’s WordNet. Here, we describe the wordnet-like resources currently available for Portuguese: their origins, methods of creation, sizes, and usage restrictions. We start tackling the problem of comparing them, but only in quantitative terms. Finally, we sketch ideas for potential collaboration between some of the projects that produce Portuguese wordnets.

Semantic Links for Portuguese
Fabricio Chalub | Livy Real | Alexandre Rademaker | Valeria de Paiva
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper describes work on incorporating Princenton’s WordNet morphosemantics links to the fabric of the Portuguese OpenWordNet-PT. Morphosemantic links are relations between verbs and derivationally related nouns that are semantically typed (such as for tune-tuner ― in Portuguese “afinar-afinador” – linked through an “agent” link). Morphosemantic links have been discussed for Princeton’s WordNet for a while, but have not been added to the official database. These links are very useful, they help us to improve our Portuguese WordNet. Thus we discuss the integration of these links in our base and the issues we encountered with the integration.


HAREM and Klue: how to put two tagsets for named entities annotation together
Livy Real | Alexandre Rademaker
Proceedings of the Fifth Named Entity Workshop

Seeing is Correcting: curating lexical resources using social interfaces
Livy Real | Fabricio Chalub | Valeria de Paiva | Claudia Freitas | Alexandre Rademaker
Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications

Anotação de corpus com a OpenWordNet-PT: um exercício de desambiguação (Sense annotation with OpenWordNet-PT: an exercise of word sense disambiguation)
Cláudia Freitas | Livy Real | Alexandre Rademaker
Proceedings of the 10th Brazilian Symposium in Information and Human Language Technology


OpenWordNet-PT: A Project Report
Alexandre Rademaker | Valeria de Paiva | Gerard de Melo | Livy Real | Maira Gatti
Proceedings of the Seventh Global Wordnet Conference

NomLex-PT: A Lexicon of Portuguese Nominalizations
Valeria de Paiva | Livy Real | Alexandre Rademaker | Gerard de Melo
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

This paper presents NomLex-PT, a lexical resource describing Portuguese nominalizations. NomLex-PT connects verbs to their nominalizations, thereby enabling NLP systems to observe the potential semantic relationships between the two words when analysing a text. NomLex-PT is freely available and encoded in RDF for easy integration with other resources. Most notably, we have integrated NomLex-PT with OpenWordNet-PT, an open Portuguese Wordnet.