Self-supervised euphemism detection and identification for content moderation
Fringe groups and organizations have a long history of using euphemisms—ordinary-
sounding words with a secret meaning—to conceal what they are discussing. Nowadays …
sounding words with a secret meaning—to conceal what they are discussing. Nowadays …
Contrastive learning with hard negative entities for entity set expansion
Entity Set Expansion (ESE) is a promising task which aims to expand entities of the target
semantic class described by a small seed entity set. Various NLP and IR applications will …
semantic class described by a small seed entity set. Various NLP and IR applications will …
Automatic context pattern generation for entity set expansion
Entity Set Expansion (ESE) is a valuable task that aims to find entities of the target semantic
class described by given seed entities. Various Natural Language Processing (NLP) and …
class described by given seed entities. Various Natural Language Processing (NLP) and …
Corpus-based open-domain event type induction
Traditional event extraction methods require predefined event types and their corresponding
annotations to learn event extractors. These prerequisites are often hard to be satisfied in …
annotations to learn event extractors. These prerequisites are often hard to be satisfied in …
Unsupervised key event detection from massive text corpora
Automated event detection from news corpora is a crucial task towards mining fast-evolving
structured knowledge. As real-world events have different granularities, from the top-level …
structured knowledge. As real-world events have different granularities, from the top-level …
A roadmap for big model
With the rapid development of deep learning, training Big Models (BMs) for multiple
downstream tasks becomes a popular paradigm. Researchers have achieved various …
downstream tasks becomes a popular paradigm. Researchers have achieved various …
Synonym recognition from short texts: A self-supervised learning approach
Synonyms refer to different expressions for the same entity in the text and affect entity-centric
text mining research performance. Therefore, synonym recognition has become a promising …
text mining research performance. Therefore, synonym recognition has become a promising …
Open relation and event type discovery with type abstraction
Conventional closed-world information extraction (IE) approaches rely on human ontologies
to define the scope for extraction. As a result, such approaches fall short when applied to …
to define the scope for extraction. As a result, such approaches fall short when applied to …
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 many kinds of
downstream tasks. It will make the model to better understand the similarity between context …
downstream tasks. It will make the model to better understand the similarity between context …
A Short Review for Ontology Learning from Text: Stride from Shallow Learning, Deep Learning to Large Language Models Trend
R Du, H An, K Wang, W Liu - arxiv preprint arxiv:2404.14991, 2024 - arxiv.org
Ontologies provide formal representation of knowledge shared within Semantic Web
applications and Ontology learning from text involves the construction of ontologies from a …
applications and Ontology learning from text involves the construction of ontologies from a …