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09/04/2023
A Survey for Graphic Design Intelligence
Graphic design is an effective language for visual communication. Using ...
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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...
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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...
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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...
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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...
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10/20/2022
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
This paper presents ReasonFormer, a unified reasoning framework for mirr...
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04/14/2022
Rows from Many Sources: Enriching row completions from Wikidata with a pre-trained Language Model
Row completion is the task of augmenting a given table of text and numbe...
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04/12/2022
Decomposed Meta-Learning for Few-Shot Named Entity Recognition
Few-shot named entity recognition (NER) systems aim at recognizing novel...
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01/06/2020
Improving Entity Linking by Modeling Latent Entity Type Information
Existing state of the art neural entity linking models employ attention-...
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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...
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03/08/2019
Towards Time-Aware Distant Supervision for Relation Extraction
Distant supervision for relation extraction heavily suffers from the wro...
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09/08/2018
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation
Recent neural models for data-to-text generation are mostly based on dat...
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08/15/2018
