b'Jingbo Shang'

research

∙ 08/07/2023

Learning Concise and Descriptive Attributes for Visual Recognition

Recent advances in foundation models present new opportunities for inter...

0 An Yan, et al. ∙

research

∙ 07/14/2023

Generating Efficient Training Data via LLM-based Attribute Manipulation

In this paper, we propose a novel method, Chain-of-Thoughts Attribute Ma...

0 Letian Peng, et al. ∙

research

∙ 07/04/2023

Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs

Knowledge graph embeddings (KGE) have been extensively studied to embed ...

0 Zijie Huang, et al. ∙

research

∙ 06/01/2023

PV2TEA: Patching Visual Modality to Textual-Established Information Extraction

Information extraction, e.g., attribute value extraction, has been exten...

4 Hejie Cui, et al. ∙

research

∙ 05/26/2023

Towards Open-World Product Attribute Mining: A Lightly-Supervised Approach

We present a new task setting for attribute mining on e-commerce product...

0 Liyan Xu, et al. ∙

research

∙ 05/24/2023

ClusterLLM: Large Language Models as a Guide for Text Clustering

We introduce ClusterLLM, a novel text clustering framework that leverage...

0 Yuwei Zhang, et al. ∙

research

∙ 05/24/2023

Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation

Recent advances of incorporating layout information, typically bounding ...

0 Prashant Krishnan, et al. ∙

research

∙ 05/24/2023

Debiasing Made State-of-the-art: Revisiting the Simple Seed-based Weak Supervision for Text Classification

Recent advances in weakly supervised text classification mostly focus on...

0 Chengyu Dong, et al. ∙

research

∙ 05/24/2023

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank

Deep neural classifiers trained with cross-entropy loss (CE loss) often ...

0 Dheeraj Mekala, et al. ∙

research

∙ 05/23/2023

Text Is All You Need: Learning Language Representations for Sequential Recommendation

Sequential recommendation aims to model dynamic user behavior from histo...

0 Jiacheng Li, et al. ∙

research

∙ 05/22/2023

A Benchmark on Extremely Weakly Supervised Text Classification: Reconcile Seed Matching and Prompting Approaches

Etremely Weakly Supervised Text Classification (XWS-TC) refers to text c...

0 Zihan Wang, et al. ∙

research

∙ 05/21/2023

WOT-Class: Weakly Supervised Open-world Text Classification

State-of-the-art weakly supervised text classification methods, while si...

0 Tianle Wang, et al. ∙

research

∙ 03/24/2023

Towards Diverse and Coherent Augmentation for Time-Series Forecasting

Time-series data augmentation mitigates the issue of insufficient traini...

0 Xiyuan Zhang, et al. ∙

research

∙ 02/19/2023

Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space

The output distribution of a neural network (NN) over the entire input s...

0 Weitang Liu, et al. ∙

research

∙ 01/26/2023

Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification

Pre-trained seq2seq models excel at graph semantic parsing with rich ann...

2 Zi Lin, et al. ∙

research

∙ 01/01/2023

Federated Learning with Client-Exclusive Classes

Existing federated classification algorithms typically assume the local ...

0 Jiayun Zhang, et al. ∙

research

∙ 01/01/2023

Modeling Label Semantics Improves Activity Recognition

Human activity recognition (HAR) aims to classify sensory time series in...

0 Xiyuan Zhang, et al. ∙

research

∙ 11/27/2022

MGDoc: Pre-training with Multi-granular Hierarchy for Document Image Understanding

Document images are a ubiquitous source of data where the text is organi...

0 Zilong Wang, et al. ∙

research

∙ 10/25/2022

Progressive Sentiment Analysis for Code-Switched Text Data

Multilingual transformer language models have recently attracted much at...

0 Sudhanshu Ranjan, et al. ∙

research

∙ 10/05/2022

Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform

We propose Waveformer that learns attention mechanism in the wavelet coe...

25 Yufan Zhuang, et al. ∙

research

∙ 09/28/2022

UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation

Personalized natural language generation for explainable recommendations...

0 Jiacheng Li, et al. ∙

research

∙ 06/14/2022

SoTeacher: A Student-oriented Teacher Network Training Framework for Knowledge Distillation

How to train an ideal teacher for knowledge distillation is still an ope...

0 Chengyu Dong, et al. ∙

research

∙ 05/25/2022

Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation

Manually annotating datasets requires domain experts to read through man...

0 Dheeraj Mekala, et al. ∙

research

∙ 05/25/2022

LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification

Weakly supervised text classification methods typically train a deep neu...

0 Dheeraj Mekala, et al. ∙

research

∙ 05/25/2022

Fine-grained Contrastive Learning for Relation Extraction

Recent relation extraction (RE) works have shown encouraging improvement...

0 William Hogan, et al. ∙

research

∙ 05/24/2022

WeDef: Weakly Supervised Backdoor Defense for Text Classification

Existing backdoor defense methods are only effective for limited trigger...

1 Lesheng Jin, et al. ∙

research

∙ 05/24/2022

Formulating Few-shot Fine-tuning Towards Language Model Pre-training: A Pilot Study on Named Entity Recognition

Fine-tuning pre-trained language models has recently become a common pra...

4 Zihan Wang, et al. ∙

research

∙ 04/29/2022

OA-Mine: Open-World Attribute Mining for E-Commerce Products with Weak Supervision

Automatic extraction of product attributes from their textual descriptio...

9 Xinyang Zhang, et al. ∙

research

∙ 02/27/2022

UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining

High-quality phrase representations are essential to finding topics and ...

0 Jiacheng Li, et al. ∙

research

∙ 10/07/2021

Double Descent in Adversarial Training: An Implicit Label Noise Perspective

Here, we show that the robust overfitting shall be viewed as the early p...

0 Chengyu Dong, et al. ∙

research

∙ 09/22/2021

Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data

Existing text classification methods mainly focus on a fixed label set, ...

0 Dheeraj Mekala, et al. ∙

research

∙ 09/22/2021

BFClass: A Backdoor-free Text Classification Framework

Backdoor attack introduces artificial vulnerabilities into the model by ...

0 Zichao Li, et al. ∙

research

∙ 08/26/2021

LayoutReader: Pre-training of Text and Layout for Reading Order Detection

Reading order detection is the cornerstone to understanding visually-ric...

0 Zilong Wang, et al. ∙

research

∙ 07/05/2021

Weakly Supervised Named Entity Tagging with Learnable Logical Rules

We study the problem of building entity tagging systems by using a few r...

0 Jiacheng Li, et al. ∙

research

∙ 05/28/2021

UCPhrase: Unsupervised Context-aware Quality Phrase Tagging

Identifying and understanding quality phrases from context is a fundamen...

0 Xiaotao Gu, et al. ∙

research

∙ 04/18/2021

Unsupervised Deep Keyphrase Generation

Keyphrase generation aims to summarize long documents with a collection ...

0 Xianjie Shen, et al. ∙

research

∙ 04/18/2021

News Meets Microblog: Hashtag Annotation via Retriever-Generator

Hashtag annotation for microblog posts has been recently formulated as a...

0 Xiuwen Zheng, et al. ∙

research

∙ 04/18/2021

"Average" Approximates "First Principal Component"? An Empirical Analysis on Representations from Neural Language Models

Contextualized representations based on neural language models have furt...

0 Zihan Wang, et al. ∙

research

∙ 02/23/2021

Minimally-Supervised Structure-Rich Text Categorization via Learning on Text-Rich Networks

Text categorization is an essential task in Web content analysis. Consid...

0 Xinyang Zhang, et al. ∙

research

∙ 02/15/2021

Data Profiling for Adversarial Training: On the Ruin of Problematic Data

Multiple intriguing problems hover in adversarial training, including ro...

0 Chengyu Dong, et al. ∙

research

∙ 01/01/2021

Sensei: Self-Supervised Sensor Name Segmentation

A sensor name, typically an alphanumeric string, encodes the key context...

25 Jiaman Wu, et al. ∙

research

∙ 10/24/2020

X-Class: Text Classification with Extremely Weak Supervision

In this paper, we explore to conduct text classification with extremely ...

0 Zihan Wang, et al. ∙

research

∙ 10/15/2020

Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training

Our goal is to understand why the robustness drops after conducting adve...

0 Zichao Li, et al. ∙

research

∙ 04/30/2020

User-Guided Aspect Classification for Domain-Specific Texts

Aspect classification, identifying aspects of text segments, facilitates...

0 Peiran Li, et al. ∙

research

∙ 10/17/2019

SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

Corpus-based set expansion (i.e., finding the "complete" set of entities...

0 Jiaming Shen, et al. ∙

research

∙ 10/10/2019

FUSE: Multi-Faceted Set Expansion by Coherent Clustering of Skip-grams

Set expansion aims to expand a small set of seed entities into a complet...

0 Wanzheng Zhu, et al. ∙

research

∙ 09/03/2019

CrossWeigh: Training Named Entity Tagger from Imperfect Annotations

Everyone makes mistakes. So do human annotators when curating labels for...

0 Zihan Wang, et al. ∙

research

∙ 08/14/2019

Raw-to-End Name Entity Recognition in Social Media

Taking word sequences as the input, typical named entity recognition (NE...

0 Liyuan Liu, et al. ∙

research

∙ 09/10/2018

Learning Named Entity Tagger using Domain-Specific Dictionary

Recent advances in deep neural models allow us to build reliable named e...

0 Jingbo Shang, et al. ∙

research

∙ 04/29/2018

Entity Set Search of Scientific Literature: An Unsupervised Ranking Approach

Literature search is critical for any scientific research. Different fro...

0 Jiaming Shen, et al. ∙

Jingbo Shang

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