Papers with Meaning-Text Theory

2 papers
Pay Attention when you Pay the Bills. A Multilingual Corpus with Dependency-based and Semantic Annotation of Collocations. (P19-1)

Copied to clipboard

Challenge: resulting corpus can be useful for different NLP tasks such as natural language understanding or natural language generation.
Approach: They propose to annotate 155k tokens and 1,526 collocations in context in a multilingual corpus in English, Portuguese, and Spanish.
Outcome: The new corpus can be used to evaluate different approaches for collocation identification, which can be useful for different NLP tasks such as natural language understanding or natural language generation.
Towards a Unified Taxonomy of Deep Syntactic Relations (2024.lrec-main)

Copied to clipboard

Challenge: Currently, UD is the standard for morphology and surface syntax annotations, but it is only one step towards natural language understanding.
Approach: They propose to use a set of universal semantic role labels for morphology and surface syntax in four Indo-European and one Uralic languages to analyze the data.
Outcome: The proposed set of universal semantic role labels is based on the data from four Indo-European and one Uralic languages.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations