activity
20162021
most citedImproved Robust ASR for Social Robots in Public Spaces

3 citations · 3 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CL2021

System Combination for Grammatical Error Correction Based on Integer Programming

Ruixi Lin, Hwee Tou Ng

In this paper, we propose a system combination method for grammatical error correction (GEC), based on nonlinear integer programming (IP). Our method optimizes a novel F score obje…

eess.AS20203 cited

Improved Robust ASR for Social Robots in Public Spaces

Charles Jankowski, Vishwas Mruthyunjaya, Ruixi Lin

Social robots deployed in public spaces present a challenging task for ASR because of a variety of factors, including noise SNR of 20 to 5 dB. Existing ASR models perform well for…

cs.CL2018

Multi-Layer Ensembling Techniques for Multilingual Intent Classification

Charles Costello, Ruixi Lin, Vishwas Mruthyunjaya +2

In this paper we determine how multi-layer ensembling improves performance on multilingual intent classification. We develop a novel multi-layer ensembling approach that ensembles…

cs.CL2018

Combining Word Feature Vector Method with the Convolutional Neural Network for Slot Filling in Spoken Language Understanding

Ruixi Lin

Slot filling is an important problem in Spoken Language Understanding (SLU) and Natural Language Processing (NLP), which involves identifying a user's intent and assigning a semant…

cs.CL2018

Enhancing Chinese Intent Classification by Dynamically Integrating Character Features into Word Embeddings with Ensemble Techniques

Ruixi Lin, Charles Costello, Charles Jankowski

Intent classification has been widely researched on English data with deep learning approaches that are based on neural networks and word embeddings. The challenge for Chinese inte…

cs.CL2016

Towards Empathetic Human-Robot Interactions

Pascale Fung, Dario Bertero, Yan Wan +6

Since the late 1990s when speech companies began providing their customer-service software in the market, people have gotten used to speaking to machines. As people interact more o…