Papers by Shiran Dudy

3 papers
Refocusing on Relevance: Personalization in NLG (2021.emnlp-main)

Copied to clipboard

Challenge: a number of negative effects exist when NLG systems are not grounded to a specific input text.
Approach: They argue that NLG systems should focus on making use of additional context . they argue that relevance should be thought of as a crucial tool for user-oriented text-generating tasks .
Outcome: The proposed approach is more of the rule than the exception, the authors argue . they argue that value-sensitive design represents a crucial path forward .
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection (2022.emnlp-main)

Copied to clipboard

Challenge: Neural networks are at the center of a debate about human behavior in inflectional morphology.
Approach: They measure correlation between human judgments and neural network probabilities for unknown word inflections.
Outcome: The proposed model for morphological inflections correlates best with human wug ratings, but not with humans.
A Major Obstacle for NLP Research: Let’s Talk about Time Allocation! (2022.emnlp-main)

Copied to clipboard

Challenge: Subpar time allocation has been a major obstacle for natural language processing research in recent years, argues a new position paper .
Approach: They propose to identify the biggest traps the NLP community falls into and suggest solutions to solve them.
Outcome: The authors outline multiple concrete problems together with their negative consequences and suggest remedies to improve the status quo.

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