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08/07/2023
Learning Concise and Descriptive Attributes for Visual Recognition
Recent advances in foundation models present new opportunities for inter...
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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...
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07/04/2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Knowledge graph embeddings (KGE) have been extensively studied to embed ...
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06/01/2023
PV2TEA: Patching Visual Modality to Textual-Established Information Extraction
Information extraction, e.g., attribute value extraction, has been exten...
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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...
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05/24/2023
ClusterLLM: Large Language Models as a Guide for Text Clustering
We introduce ClusterLLM, a novel text clustering framework that leverage...
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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 ...
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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...
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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 ...
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05/23/2023
Text Is All You Need: Learning Language Representations for Sequential Recommendation
Sequential recommendation aims to model dynamic user behavior from histo...
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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...
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05/21/2023
WOT-Class: Weakly Supervised Open-world Text Classification
State-of-the-art weakly supervised text classification methods, while si...
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03/24/2023
Towards Diverse and Coherent Augmentation for Time-Series Forecasting
Time-series data augmentation mitigates the issue of insufficient traini...
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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...
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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...
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01/01/2023
Federated Learning with Client-Exclusive Classes
Existing federated classification algorithms typically assume the local ...
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01/01/2023
Modeling Label Semantics Improves Activity Recognition
Human activity recognition (HAR) aims to classify sensory time series in...
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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...
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10/25/2022
Progressive Sentiment Analysis for Code-Switched Text Data
Multilingual transformer language models have recently attracted much at...
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10/05/2022
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform
We propose Waveformer that learns attention mechanism in the wavelet coe...
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09/28/2022
UCEpic: Unifying Aspect Planning and Lexical Constraints for Explainable Recommendation
Personalized natural language generation for explainable recommendations...
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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...
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05/25/2022
Intermediate Training on Question Answering Datasets Improves Generative Data Augmentation
Manually annotating datasets requires domain experts to read through man...
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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...
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05/25/2022
Fine-grained Contrastive Learning for Relation Extraction
Recent relation extraction (RE) works have shown encouraging improvement...
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05/24/2022
WeDef: Weakly Supervised Backdoor Defense for Text Classification
Existing backdoor defense methods are only effective for limited trigger...
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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...
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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...
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02/27/2022
UCTopic: Unsupervised Contrastive Learning for Phrase Representations and Topic Mining
High-quality phrase representations are essential to finding topics and ...
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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...
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09/22/2021
Coarse2Fine: Fine-grained Text Classification on Coarsely-grained Annotated Data
Existing text classification methods mainly focus on a fixed label set, ...
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09/22/2021
BFClass: A Backdoor-free Text Classification Framework
Backdoor attack introduces artificial vulnerabilities into the model by ...
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08/26/2021
LayoutReader: Pre-training of Text and Layout for Reading Order Detection
Reading order detection is the cornerstone to understanding visually-ric...
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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...
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05/28/2021
UCPhrase: Unsupervised Context-aware Quality Phrase Tagging
Identifying and understanding quality phrases from context is a fundamen...
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04/18/2021
Unsupervised Deep Keyphrase Generation
Keyphrase generation aims to summarize long documents with a collection ...
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04/18/2021
News Meets Microblog: Hashtag Annotation via Retriever-Generator
Hashtag annotation for microblog posts has been recently formulated as a...
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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...
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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...
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02/15/2021
Data Profiling for Adversarial Training: On the Ruin of Problematic Data
Multiple intriguing problems hover in adversarial training, including ro...
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01/01/2021
Sensei: Self-Supervised Sensor Name Segmentation
A sensor name, typically an alphanumeric string, encodes the key context...
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10/24/2020
X-Class: Text Classification with Extremely Weak Supervision
In this paper, we explore to conduct text classification with extremely ...
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10/15/2020
Overfitting or Underfitting? Understand Robustness Drop in Adversarial Training
Our goal is to understand why the robustness drops after conducting adve...
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04/30/2020
User-Guided Aspect Classification for Domain-Specific Texts
Aspect classification, identifying aspects of text segments, facilitates...
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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...
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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...
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09/03/2019
CrossWeigh: Training Named Entity Tagger from Imperfect Annotations
Everyone makes mistakes. So do human annotators when curating labels for...
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08/14/2019
Raw-to-End Name Entity Recognition in Social Media
Taking word sequences as the input, typical named entity recognition (NE...
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09/10/2018
Learning Named Entity Tagger using Domain-Specific Dictionary
Recent advances in deep neural models allow us to build reliable named e...
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04/29/2018
