Search Results for author: Maria Soledad Pera

Found 14 papers, 1 papers with code

Spellchecking for Children in Web Search: a Natural Language Interface Case-study

no code implementations EACL (HCINLP) 2021 Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, Maria Soledad Pera

Given the more widespread nature of natural language interfaces, it is increasingly important to understand who are accessing those interfaces, and how those interfaces are being used.

Information Retrieval Retrieval

A Multi-Perspective Learning to Rank Approach to Support Children's Information Seeking in the Classroom

no code implementations29 Aug 2023 Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera

We introduce a novel re-ranking model that aims to augment the functionality of standard search engines to support classroom search activities for children (ages 6 to 11).

Learning-To-Rank Re-Ranking

Conversational Agents and Children: Let Children Learn

no code implementations23 Feb 2023 Casey Kennington, Jerry Alan Fails, Katherine Landau Wright, Maria Soledad Pera

Using online information discovery as a case study, in this position paper we discuss the need to design, develop, and deploy (conversational) agents that can -- non-intrusively -- guide children in their quest for online resources rather than simply finding resources for them.

Position

Matching Consumer Fairness Objectives & Strategies for RecSys

no code implementations6 Sep 2022 Michael D. Ekstrand, Maria Soledad Pera

The last several years have brought a growing body of work on ensuring that recommender systems are in some sense consumer-fair -- that is, they provide comparable quality of service, accuracy of representation, and other effects to their users.

Fairness Position +1

Let's Learn from Children: Scaffolding to Enable Search as Learning in the Educational Environment

no code implementations6 Sep 2022 Monica Landoni, Maria Soledad Pera, Emiliana Murgia, Theo Huibers

In this manuscript, we argue for the need to further look at search as learning (SAL) with children as the primary stakeholders.

The Impact of User Demographics and Task Types on Cross-App Mobile Search

no code implementations14 Sep 2021 Mohammad Aliannejadi, Fabio Crestani, Theo Huibers, Monica Landoni, Emiliana Murgia, Maria Soledad Pera

Recent developments in the mobile app industry have resulted in various types of mobile apps, each targeting a different need and a specific audience.

To Infinity and Beyond! Accessibility is the Future for Kids' Search Engines

no code implementations15 Jun 2021 Ashlee Milton, Garrett Allen, Maria Soledad Pera

Seminal works have studied how children use mainstream search engines, as well as how to design and evaluate custom search engines explicitly for children.

CASTing a Net: Supporting Teachers with Search Technology

no code implementations7 May 2021 Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera

In this paper, we argue for the need to broaden the research focus to include teachers and how search technology can aid them.

Evaluating Information Retrieval Systems for Kids

no code implementations21 May 2020 Ashlee Milton, Maria Soledad Pera

Evaluation of information retrieval systems (IRS) is a prominent topic among information retrieval researchers--mainly directed at a general population.

Information Retrieval Position +1

A Framework for Hierarchical Multilingual Machine Translation

no code implementations12 May 2020 Ion Madrazo Azpiazu, Maria Soledad Pera

Multilingual machine translation has recently been in vogue given its potential for improving machine translation performance for low-resource languages via transfer learning.

Machine Translation Transfer Learning +1

Hierarchical Mapping for Crosslingual Word Embedding Alignment

no code implementations TACL 2020 Ion Madrazo Azpiazu, Maria Soledad Pera

The alignment of word embedding spaces in different languages into a common crosslingual space has recently been in vogue.

Multiattentive Recurrent Neural Network Architecture for Multilingual Readability Assessment

1 code implementation TACL 2019 Ion Madrazo Azpiazu, Maria Soledad Pera

We present a multiattentive recurrent neural network architecture for automatic multilingual readability assessment.

Cannot find the paper you are looking for? You can Submit a new open access paper.