Ruihong Huang

Detecting Online Hate Speech Using Context Aware Models

2017 · arXiv (Cornell University)

In the wake of a polarizing election, the cyber world is laden with hate speech. Context accompanying a hate speech text is useful for identifying hate speech, which however has been largely overlooked in existing …

Improving Dialogue State Tracking by Discerning the Relevant Context

2019 · arXiv (Cornell University)

A typical conversation comprises of multiple turns between participants where they go back-and-forth between different topics. At each user turn, dialogue state tracking (DST) aims to estimate user's goal by processing the current utterance. However, …

PYInfer: Deep Learning Semantic Type Inference for Python Variables

2021 · arXiv (Cornell University)

Python type inference is challenging in practice. Due to its dynamic properties and extensive dependencies on third-party libraries without type annotations, the performance of traditional static analysis techniques is limited. Although semantics in source code …