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Research#NLP🔬 ResearchAnalyzed: Jan 10, 2026 14:48

Improving Adverb Understanding in WordNet: A Supersense Approach

Published:Nov 14, 2025 12:12
1 min read
ArXiv

Analysis

This research paper explores improvements to WordNet's coverage of adverbs, crucial for natural language understanding. It employs a supersense taxonomy to enhance the semantic representation of adverbs within the lexical database.
Reference

“The study aims to enhance WordNet's coverage of adverbs using a supersense taxonomy.”

PermalinkArXiv
Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:38

Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49

Published:Sep 25, 2017 20:56
1 min read
Practical AI

Analysis

This article summarizes a podcast interview with Jonathan Mugan, CEO of Deep Grammar, focusing on Natural Language Processing (NLP). The interview explores both sub-symbolic and symbolic approaches to NLP, contrasting them with the previous week's interview. It highlights the use of deep learning in grammar checking and discusses topics like attention mechanisms (sequence to sequence) and ontological approaches (WordNet, synsets, FrameNet, SUMO). The article serves as a brief overview of the interview's content, providing context and key topics covered.
Reference

“This interview is a great complement to my conversation with Bruno, and we cover a variety of topics from both the sub-symbolic and symbolic schools of NLP...”

PermalinkPractical AI