331 citations · 665 across the 20 of their papers we have counts for
6 papers · 1 filter
Word Embedding Dimension Reduction via Weakly-Supervised Feature Selection
Jintang Xue, Yun-Cheng Wang, Chengwei Wei +1
As a fundamental task in natural language processing, word embedding converts each word into a representation in a vector space. A challenge with word embedding is that as the voca…
Bias and Fairness in Chatbots: An Overview
Jintang Xue, Yun-Cheng Wang, Chengwei Wei +3
Chatbots have been studied for more than half a century. With the rapid development of natural language processing (NLP) technologies in recent years, chatbots using large language…
AsyncET: Asynchronous Learning for Knowledge Graph Entity Typing with Auxiliary Relations
Yun-Cheng Wang, Xiou Ge, Bin Wang +1
Knowledge graph entity typing (KGET) is a task to predict the missing entity types in knowledge graphs (KG). Previously, KG embedding (KGE) methods tried to solve the KGET task by…
An Overview on Language Models: Recent Developments and Outlook
Chengwei Wei, Yun-Cheng Wang, Bin Wang +1
Language modeling studies the probability distributions over strings of texts. It is one of the most fundamental tasks in natural language processing (NLP). It has been widely used…
Efficient Sentence Embedding via Semantic Subspace Analysis
Bin Wang, Fenxiao Chen, Yuncheng Wang +1
A novel sentence embedding method built upon semantic subspace analysis, called semantic subspace sentence embedding (S3E), is proposed in this work. Given the fact that word embed…
Evaluating Word Embedding Models: Methods and Experimental Results
Bin Wang, Angela Wang, Fenxiao Chen +2
Extensive evaluation on a large number of word embedding models for language processing applications is conducted in this work. First, we introduce popular word embedding models an…