Papers with systematic comparative analysis

2 papers
A Systematic Study of Leveraging Subword Information for Learning Word Representations (N19-1)

Copied to clipboard

Challenge: Existing word representation models for morphologically rich languages use subword-level information, but their systematic comparative analysis across typologically diverse languages and tasks is still missing.
Approach: They propose a framework for learning subword-informed word representations that allows for easy experimentation with different segmentation and composition components.
Outcome: The proposed framework allows for easy experimentation with different segmentation and composition components, as well as advanced techniques based on position embeddings and self-attention.
Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics (2020.coling-main)

Copied to clipboard

Challenge: a systematic comparative analysis of linguistic meaning representations from different frameworks is needed.
Approach: They compare a rule-based converter and a supervised delexicalized parser to map meaning representations from different frameworks.
Outcome: The proposed method yields surprisingly accurate representations close to fully supervised UCCA parser quality.

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