6 citations · 25 across the 5 of their papers we have counts for
6 papers
Few-Shot Nested Named Entity Recognition
Hong Ming, Jiaoyun Yang, Lili Jiang +2
While Named Entity Recognition (NER) is a widely studied task, making inferences of entities with only a few labeled data has been challenging, especially for entities with nested…
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure
Xuan-Son Vu, Abhishek Santra, Sharma Chakravarthy +1
Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging especially if one wants to do it efficiently and retain the flexibility by choosing features of interest fo…
dpUGC: Learn Differentially Private Representation for User Generated Contents
Xuan-Son Vu, Son N. Tran, Lili Jiang
This paper firstly proposes a simple yet efficient generalized approach to apply differential privacy to text representation (i.e., word embedding). Based on it, we propose a user-…
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task
Xuan-Son Vu, Thanh Vu, Son N. Tran +1
Given many recent advanced embedding models, selecting pre-trained word embedding (a.k.a., word representation) models best fit for a specific downstream task is non-trivial. In th…
Self-adaptive Privacy Concern Detection for User-generated Content
Xuan-Son Vu, Lili Jiang
To protect user privacy in data analysis, a state-of-the-art strategy is differential privacy in which scientific noise is injected into the real analysis output. The noise masks i…
Lexical-semantic resources: yet powerful resources for automatic personality classification
Xuan-Son Vu, Lucie Flekova, Lili Jiang +1
In this paper, we aim to reveal the impact of lexical-semantic resources, used in particular for word sense disambiguation and sense-level semantic categorization, on automatic per…