Search Results for author:
Found 4 papers, 2 papers with code
SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents
Several datasets exist for summarization with objective intents where, for each document and intent (e. g., “weather”), a single summary suffices for all users.
Neurosymbolic Repair for Low-Code Formula Languages
To address this problem, we developed LaMirage, a LAst-MIle RepAir-engine GEnerator that combines symbolic and neural techniques to perform last-mile repair in low-code formula languages.
Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification
Data management research is showing an increasing presence and interest in topics related to data and algorithmic fairness, including the topic of fair classification.
Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity
In this paper, we present SQuID, a system that performs semantic similarity-aware query intent discovery.
Databases
