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Found 8 papers, 5 papers with code
Enterprise Use Cases Combining Knowledge Graphs and Natural Language Processing
Knowledge management is a critical challenge for enterprises in today's digital world, as the volume and complexity of data being generated and collected continue to grow incessantly.
Exploring the Landscape of Natural Language Processing Research
As an efficient approach to understand, generate, and process natural language texts, research in natural language processing (NLP) has exhibited a rapid spread and wide adoption in recent years.
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge
Generic sentence embeddings provide a coarse-grained approximation of semantic textual similarity but ignore specific aspects that make texts similar.
Efficient Domain Adaptation of Sentence Embeddings Using Adapters
Instead, we only train a small number of additional parameters while keeping the weights of the underlying sentence embedding model fixed.
Evaluating Unsupervised Text Classification: Zero-shot and Similarity-based Approaches
Text classification of unseen classes is a challenging Natural Language Processing task and is mainly attempted using two different types of approaches.
Ranked #1 on
Unsupervised Text Classification
on AG News
(F1-score metric)
Lbl2Vec: An Embedding-Based Approach for Unsupervised Document Retrieval on Predefined Topics
When successively retrieving documents on different predefined topics from publicly available and commonly used datasets, we achieved an average area under the receiver operating characteristic curve value of 0. 95 on one dataset and 0. 92 on another.
Ranked #1 on
Unsupervised Text Classification
on AG News
PatternRank: Leveraging Pretrained Language Models and Part of Speech for Unsupervised Keyphrase Extraction
Keyphrase extraction is the process of automatically selecting a small set of most relevant phrases from a given text.
Ranked #2 on
Keyphrase Extraction
on Inspec
A Decade of Knowledge Graphs in Natural Language Processing: A Survey
In pace with developments in the research field of artificial intelligence, knowledge graphs (KGs) have attracted a surge of interest from both academia and industry.
