Search Results for author: Alexandra Meliou

Found 6 papers, 2 papers with code

SUBSUME: A Dataset for Subjective Summary Extraction from Wikipedia Documents

no code implementations EMNLP (newsum) 2021 Nishant Yadav, Matteo Brucato, Anna Fariha, Oscar Youngquist, Julian Killingback, Alexandra Meliou, Peter Haas

Several datasets exist for summarization with objective intents where, for each document and intent (e. g., “weather”), a single summary suffices for all users.

Extractive Summarization

Stochastic Package Queries in Probabilistic Databases

no code implementations11 Mar 2021 Matteo Brucato, Nishant Yadav, Azza Abouzied, Peter J. Haas, Alexandra Meliou

We provide methods for specifying -- via a SQL extension -- and processing stochastic package queries (SPQs), in order to solve optimization problems over uncertain data, right where the data resides.

Decision Making Decision Making Under Uncertainty +1 Databases

Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification

1 code implementation18 Jan 2021 Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi

Data management research is showing an increasing presence and interest in topics related to data and algorithmic fairness, including the topic of fair classification.

Fairness General Classification

Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity

2 code implementations25 Jun 2019 Anna Fariha, Alexandra Meliou

In this paper, we present SQuID, a system that performs semantic similarity-aware query intent discovery.


Fairness Testing: Testing Software for Discrimination

no code implementations11 Sep 2017 Sainyam Galhotra, Yuriy Brun, Alexandra Meliou

This paper defines software fairness and discrimination and develops a testing-based method for measuring if and how much software discriminates, focusing on causality in discriminatory behavior.


Lifted Inference Seen from the Other Side : The Tractable Features

no code implementations NeurIPS 2010 Abhay Jha, Vibhav Gogate, Alexandra Meliou, Dan Suciu

Lifted inference algorithms for representations that combine first-order logic and probabilistic graphical models have been the focus of much recent research.

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