research
∙
07/16/2023
LafitE: Latent Diffusion Model with Feature Editing for Unsupervised Multi-class Anomaly Detection
In the context of flexible manufacturing systems that are required to pr...
share
research
∙
05/24/2023
CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition
Cross-lingual named entity recognition (NER) aims to train an NER system...
research
∙
05/24/2023
TACR: A Table-alignment-based Cell-selection and Reasoning Model for Hybrid Question-Answering
Hybrid Question-Answering (HQA), which targets reasoning over tables and...
research
∙
03/31/2023
Dataset and Baseline System for Multi-lingual Extraction and Normalization of Temporal and Numerical Expressions
Temporal and numerical expression understanding is of great importance i...
research
∙
11/21/2022
Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text
Self-supervised representation learning has proved to be a valuable comp...
research
∙
10/24/2022
TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases
Pre-trained language models (PLMs) have shown their effectiveness in mul...
research
∙
07/20/2021
BoningKnife: Joint Entity Mention Detection and Typing for Nested NER via prior Boundary Knowledge
While named entity recognition (NER) is a key task in natural language p...
research
∙
06/04/2021
AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER
Neural methods have been shown to achieve high performance in Named Enti...
research
∙
07/15/2020
UniTrans: Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Prior works in cross-lingual named entity recognition (NER) with no/litt...
research
∙
04/26/2020
Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language
To better tackle the named entity recognition (NER) problem on languages...
research
∙
11/14/2019
Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources
For languages with no annotated resources, transferring knowledge from r...
research
∙
04/03/2019
