Search Results for author: Steven Y. Feng

Found 7 papers, 7 papers with code

SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation

1 code implementation INLG (ACL) 2021 Steven Y. Feng, Jessica Huynh, Chaitanya Narisetty, Eduard Hovy, Varun Gangal

We motivate and propose a suite of simple but effective improvements for concept-to-text generation called SAPPHIRE: Set Augmentation and Post-hoc PHrase Infilling and REcombination.

Concept-To-Text Generation

A Survey of Data Augmentation Approaches for NLP

1 code implementation Findings (ACL) 2021 Steven Y. Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, Eduard Hovy

In this paper, we present a comprehensive and unifying survey of data augmentation for NLP by summarizing the literature in a structured manner.

Data Augmentation

NAREOR: The Narrative Reordering Problem

1 code implementation14 Apr 2021 Varun Gangal, Steven Y. Feng, Malihe Alikhani, Teruko Mitamura, Eduard Hovy

In this paper, we propose and investigate the task of Narrative Reordering (NAREOR) which involves rewriting a given story in a different narrative order while preserving its plot.

ALOHA: Artificial Learning of Human Attributes for Dialogue Agents

1 code implementation18 Oct 2019 Aaron W. Li, Veronica Jiang, Steven Y. Feng, Julia Sprague, Wei Zhou, Jesse Hoey

We propose Human Level Attributes (HLAs) based on tropes as the basis of a method for learning dialogue agents that can imitate the personalities of fictional characters.

Community Detection Language Modelling

Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange

1 code implementation IJCNLP 2019 Steven Y. Feng, Aaron W. Li, Jesse Hoey

In this paper, we present a novel method for measurably adjusting the semantics of text while preserving its sentiment and fluency, a task we call semantic text exchange.

Data Augmentation Text Infilling

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