Papers by Ruben Branco

5 papers
Browsing and Supporting Pluricentric Global Wordnet, or just your Wordnet of Interest (L18-1)

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Challenge: a wordnet browser that allows to consult wordnet content is presented in this paper . the paper presents a browser that meets design requirements and complies with the most ample range of design features.
Approach: They propose a wordnet browser that meets design requirements for wordnets . they use existing browsers to analyze their functionalities and build a new browser .
Outcome: The proposed browser meets design requirements and complies with the most ample range of design features.
Reproduction and Revival of the Argument Reasoning Comprehension Task (2020.lrec-1)

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Challenge: Reproduction of scientific results is essential for scientific development across all disciplines.
Approach: They evaluate scientific reproduction of arguments reasoning comprehension systems . they find reproducing results of previous work is a basic requirement for validating hypothesis .
Outcome: The proposed systems were compared with the revised data set and scored in line with the results of the argument reasoning comprehension task.
Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning (2021.emnlp-main)

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Challenge: a recent study has found that commonsense reasoning models are learning transferable generalizations . commonsensibility is a human capacity that has been a core challenge to Artificial Intelligence since its inception.
Approach: They conduct an analysis of benchmarks that involve commonsense reasoning . they find that most datasets experimented with are problematic . commonsensence is a quintessential human capacity .
Outcome: The proposed model is able to perform well on commonsense reasoning tasks . the model is not learning transferable generalizations or taking advantage of shortcuts .
Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness (2020.coling-main)

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Challenge: lexical semantics theories advocate that the meaning of words is represented as an inference graph, a feature mapping or a cooccurrence vector.
Approach: They propose to probe different lexical semantics theories for their levels of cognitive plausibility and technological usefulness.
Outcome: The proposed approach is superior to the other approaches, the authors argue . they show that the feature-based approach is more useful and more plausible than the other ones .
The MWN.PT WordNet for Portuguese: Projection, Validation, Cross-lingual Alignment and Distribution (2020.lrec-1)

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Challenge: Lexical semantic networks are pervasive in natural language processing . Lexical ontologies play a key role in virtually all major applications .
Approach: The present paper presents the MWN.PT WordNet for Portuguese . it is the largest high quality, manually validated and cross-lingually integrated wordnet of Portuguese based on the Princeton WordNet of English .
Outcome: The MWN.PT WordNet for Portuguese includes 41,000 concepts expressed by 38,000 lexical units.

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