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Found 5 papers, 0 papers with code
Unsupervised Generation of Long-form Technical Questions from Textbook Metadata using Structured Templates
Semi-structured metadata of a textbook — the table of contents and the index — provide rich cues for technical question generation.
A Weak Supervision Approach for Predicting Difficulty of Technical Interview Questions
Predicting difficulty of questions is crucial for technical interviews.
Do the Benefits of Joint Models for Relation Extraction Extend to Document-level Tasks?
Joint models, which capture interactions across triples, are the more recent development, and have been shown to outperform pipeline models for sentence-level extraction tasks.
90% F1 Score in Relational Triple Extraction: Is it Real ?
This approach leads to overall performance improvement in these models within the realistic experimental setting.
Ranked #11 on
Relation Extraction
on NYT
Learning Latent Beliefs and Performing Epistemic Reasoning for Efficient and Meaningful Dialog Management
Our latent belief identification approach shows an accuracy of 87% and this results in efficient and meaningful dialog management.
