activity
20122023
most citedEfficient and Effective Tail Latency Minimization in Multi-Stage Retrieval Systems

12 citations · 29 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2023

Bias Beyond English: Counterfactual Tests for Bias in Sentiment Analysis in Four Languages

Seraphina Goldfarb-Tarrant, Adam Lopez, Roi Blanco +1

Sentiment analysis (SA) systems are used in many products and hundreds of languages. Gender and racial biases are well-studied in English SA systems, but understudied in other lang…

cs.CL2019

BookQA: Stories of Challenges and Opportunities

Stefanos Angelidis, Lea Frermann, Diego Marcheggiani +2

We present a system for answering questions based on the full text of books (BookQA), which first selects book passages given a question at hand, and then uses a memory network to…

cs.IR2017★ 12 cited

Efficient and Effective Tail Latency Minimization in Multi-Stage Retrieval Systems

Joel Mackenzie, J. Shane Culpepper, Roi Blanco +3

Scalable web search systems typically employ multi-stage retrieval architectures, where an initial stage generates a set of candidate documents that are then pruned and re-ranked.…

cs.IR2017★ 3 cited

Part of Speech Based Term Weighting for Information Retrieval

Christina Lioma, Roi Blanco

Automatic language processing tools typically assign to terms so-called weights corresponding to the contribution of terms to information content. Traditionally, term weights are c…

cs.DS2015★ 2 cited

Local Ranking Problem on the BrowseGraph

Michele Trevisiol, Luca Maria Aiello, Paolo Boldi +1

The "Local Ranking Problem" (LRP) is related to the computation of a centrality-like rank on a local graph, where the scores of the nodes could significantly differ from the ones c…

cs.DS2014★ 2 cited

Entity-Linking via Graph-Distance Minimization

Roi Blanco, Paolo Boldi, Andrea Marino

Entity-linking is a natural-language-processing task that consists in identifying the entities mentioned in a piece of text, linking each to an appropriate item in some knowledge b…

cs.SI2012★ 10 cited

TwitterPaul: Extracting and Aggregating Twitter Predictions

Naushad UzZaman, Roi Blanco, Michael Matthews

This paper introduces TwitterPaul, a system designed to make use of Social Media data to help to predict game outcomes for the 2010 FIFA World Cup tournament. To this end, we extra…