activity
20182023
most citedVAE based Text Style Transfer with Pivot Words Enhancement Learning

5 citations · 9 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2023

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness

Yichuan Li, Jialong Han, Kyumin Lee +3

In recent years, Pre-trained Language Models (PLMs) have shown their superiority by pre-training on unstructured text corpus and then fine-tuning on downstream tasks. On entity-ric…

cs.RO2023

Language-Grounded Control for Coordinated Robot Motion and Speech

Ravi Tejwani, Chengyuan Ma, Paco Gomez-Paz +2

Recent advancements have enabled human-robot collaboration through physical assistance and verbal guidance. However, limitations persist in coordinating robots' physical motions an…

cs.CL2023

CLICKER: Attention-Based Cross-Lingual Commonsense Knowledge Transfer

Ruolin Su, Zhongkai Sun, Sixing Lu +2

Recent advances in cross-lingual commonsense reasoning (CSR) are facilitated by the development of multilingual pre-trained models (mPTMs). While mPTMs show the potential to encode…

cs.CL2022★ 1 cited

Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI

Pragaash Ponnusamy, Clint Solomon Mathialagan, Gustavo Aguilar +2

Self-learning paradigms in large-scale conversational AI agents tend to leverage user feedback in bridging between what they say and what they mean. However, such learning, particu…

cs.CL2022

A Vocabulary-Free Multilingual Neural Tokenizer for End-to-End Task Learning

Md Mofijul Islam, Gustavo Aguilar, Pragaash Ponnusamy +3

Subword tokenization is a commonly used input pre-processing step in most recent NLP models. However, it limits the models' ability to leverage end-to-end task learning. Its freque…

cs.IR2022★ 3 cited

Query Expansion and Entity Weighting for Query Reformulation Retrieval in Voice Assistant Systems

Zhongkai Sun, Sixing Lu, Chengyuan Ma +2

Voice assistants such as Alexa, Siri, and Google Assistant have become increasingly popular worldwide. However, linguistic variations, variability of speech patterns, ambient acous…

cs.LG2022

Incremental user embedding modeling for personalized text classification

Ruixue Lian, Che-Wei Huang, Yuqing Tang +3

Individual user profiles and interaction histories play a significant role in providing customized experiences in real-world applications such as chatbots, social media, retail, an…

cs.CL2021★ 5 cited

VAE based Text Style Transfer with Pivot Words Enhancement Learning

Haoran Xu, Sixing Lu, Zhongkai Sun +2

Text Style Transfer (TST) aims to alter the underlying style of the source text to another specific style while keeping the same content. Due to the scarcity of high-quality parall…

cs.CL2018

LSTM-based Whisper Detection

Zeynab Raeesy, Kellen Gillespie, Zhenpei Yang +6

This article presents a whisper speech detector in the far-field domain. The proposed system consists of a long-short term memory (LSTM) neural network trained on log-filterbank en…