Papers by Chakaveh Saedi

5 papers
Semantic Equivalence Detection: Are Interrogatives Harder than Declaratives? (L18-1)

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Challenge: Semantic Text Similarity (STS) tasks are often not seen as similar to semantic equivalence detection tasks.
Approach: They propose to assess the performance of different approaches to STS over different types of textual segments.
Outcome: The proposed methods differ in performance over different types of textual segments, including declaratives and interrogatives, under conditions of comparability.
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.
Large Scale Author Obfuscation Using Siamese Variational Auto-Encoder: The SiamAO System (2020.starsem-1)

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Challenge: Existing approaches to author obfuscation are largely heuristic, but they can be used to attack author identification.
Approach: They propose a deep learning architecture for constructing adversarial examples against similarity-based learners and explore its application to author obfuscation.
Outcome: The proposed architectures show that they can be used to attack author obfuscation . the proposed architecture shows that it can be applied to obliquacy of text .
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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