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09/12/2023
Towards Visual Taxonomy Expansion
Taxonomy expansion task is essential in organizing the ever-increasing v...
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08/17/2023
KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases
Large language models (LLMs) have demonstrated impressive impact in the ...
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06/19/2023
Adaptive Ordered Information Extraction with Deep Reinforcement Learning
Information extraction (IE) has been studied extensively. The existing m...
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06/13/2023
HAUSER: Towards Holistic and Automatic Evaluation of Simile Generation
Similes play an imperative role in creative writing such as story and di...
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05/10/2023
ANALOGYKB: Unlocking Analogical Reasoning of Language Models with A Million-scale Knowledge Base
Analogical reasoning is a fundamental cognitive ability of humans. Howev...
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05/03/2023
Causality-aware Concept Extraction based on Knowledge-guided Prompting
Concepts benefit natural language understanding but are far from complet...
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03/25/2023
GANTEE: Generative Adversatial Network for Taxonomy Entering Evaluation
Taxonomy is formulated as directed acyclic concepts graphs or trees that...
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03/25/2023
Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining
The model's ability to understand synonymous expression is crucial in ma...
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02/18/2023
BBT-Fin: Comprehensive Construction of Chinese Financial Domain Pre-trained Language Model, Corpus and Benchmark
To advance Chinese financial natural language processing (NLP), we intro...
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12/10/2022
MAPS-KB: A Million-scale Probabilistic Simile Knowledge Base
The ability to understand and generate similes is an imperative step to ...
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10/06/2022
Generative Entity Typing with Curriculum Learning
Entity typing aims to assign types to the entity mentions in given texts...
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08/30/2022
Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
The concepts in knowledge graphs (KGs) enable machines to understand nat...
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06/30/2022
FL-Tuning: Layer Tuning for Feed-Forward Network in Transformer
Prompt tuning is an emerging way of adapting pre-trained language models...
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06/25/2022
Language Models as Knowledge Embeddings
Knowledge embeddings (KE) represent a knowledge graph (KG) by embedding ...
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05/17/2022
Tackling Math Word Problems with Fine-to-Coarse Abstracting and Reasoning
Math Word Problems (MWP) is an important task that requires the ability ...
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02/21/2022
Rule Mining over Knowledge Graphs via Reinforcement Learning
Knowledge graphs (KGs) are an important source repository for a wide ran...
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01/07/2022
Semantic-based Data Augmentation for Math Word Problems
It's hard for neural MWP solvers to deal with tiny local variances. In M...
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05/21/2021
Revisiting the Negative Data of Distantly Supervised Relation Extraction
Distantly supervision automatically generates plenty of training samples...
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05/06/2020
Collective Loss Function for Positive and Unlabeled Learning
People learn to discriminate between classes without explicit exposure t...
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02/27/2019