1.2k citations · 1.3k across the 6 of their papers we have counts for
6 papers
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting
Chen Chen, Yufei Wang, Aixin Sun +2
Knowledge Graph Completion (KGC) often requires both KG structural and textual information to be effective. Pre-trained Language Models (PLMs) have been used to learn the textual i…
Unifying Large Language Models and Knowledge Graphs: A Roadmap
Shirui Pan, Linhao Luo, Yufei Wang +3
Large language models (LLMs), such as ChatGPT and GPT4, are making new waves in the field of natural language processing and artificial intelligence, due to their emergent ability…
Annotating Columns with Pre-trained Language Models
Yoshihiko Suhara, Jinfeng Li, Yuliang Li +4
Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing…
Enhancing Review Comprehension with Domain-Specific Commonsense
Aaron Traylor, Chen Chen, Behzad Golshan +6
Review comprehension has played an increasingly important role in improving the quality of online services and products and commonsense knowledge can further enhance review compreh…
Essentia: Mining Domain-Specific Paraphrases with Word-Alignment Graphs
Danni Ma, Chen Chen, Behzad Golshan +1
Paraphrases are important linguistic resources for a wide variety of NLP applications. Many techniques for automatic paraphrase mining from general corpora have been proposed. Whil…
Jo: The Smart Journal
Vivian Li, Alon Halevy, Adi Zief-Balteriski Ph. D +9
We introduce Jo, a mobile application that attempts to improve user's well-being. Jo is a journaling application--users log their important moments via short texts and optionally a…