research
∙
06/24/2023
Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers
Instead of relying on human-annotated training samples to build a classi...
share
research
∙
04/08/2023
Unsupervised Story Discovery from Continuous News Streams via Scalable Thematic Embedding
Unsupervised discovery of stories with correlated news articles in real-...
research
∙
12/12/2022
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts
Instead of mining coherent topics from a given text corpus in a complete...
research
∙
12/05/2022
Entity Set Co-Expansion in StackOverflow
Given a few seed entities of a certain type (e.g., Software or Programmi...
research
∙
02/09/2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations
Topic models have been the prominent tools for automatic topic discovery...
research
∙
10/26/2021
Statistical inference on AR(p) models with non-i.i.d. innovations
The autoregressive process is one of the fundamental and most important ...
research
∙
10/26/2021
Debiased and threshold ridge regression for linear model with heteroskedastic and dependent error
Focusing on a high dimensional linear model y = Xβ + ϵ with dependent, n...
research
∙
09/10/2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training
We study the problem of training named entity recognition (NER) models u...
research
∙
01/18/2021
Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage
Contrastive learning has been applied successfully to learn numerical ve...
research
∙
10/14/2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach
Current text classification methods typically require a good number of h...
research
∙
10/13/2020
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring
Taxonomy is not only a fundamental form of knowledge representation, but...
research
∙
09/17/2020
Ridge Regression Revisited: Debiasing, Thresholding and Bootstrap
In high dimensional setting, the facts that the classical ridge regressi...
research
∙
07/18/2020
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Mining a set of meaningful topics organized into a hierarchy is intuitiv...
research
∙
05/19/2020
Bootstrap prediction intervals with asymptotic conditional validity and unconditional guarantees
Focus on linear regression model, in this paper we introduce a bootstrap...
research
∙
07/18/2019
Consistent bootstrap one-step prediction region for state-vector in state space model
In this paper, we propose a bootstrap algorithm to construct non-paramet...
research
∙
08/24/2018
L_p and almost sure convergence of estimation on heavy tail index under random censoring
In this paper, we prove L_p, p≥ 2 and almost sure convergence of tail in...
research
∙
08/03/2018