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Sara Rosenthal

5 accepted papers

2025

InspectorRAGet: An Introspection Platform for RAG Evaluation

NAACL 2025system demonstrations

Large Language Models (LLM) have become a popular approach for implementing Retrieval Augmented Generation (RAG) systems, and a significant amount of effort has been spent on building good models and metrics. In spite of increased recognition of the need for rigorous evaluation of RAG systems, few t…

2023

GAAMA 2.0: An Integrated System That Answers Boolean and Extractive Questions

AAAI 2023technical

Recent machine reading comprehension datasets include extractive and boolean questions but current approaches do not offer integrated support for answering both question types. We present a front-end demo to a multilingual machine reading comprehension system that handles boolean and extractive ques…

2023

Target-Based Offensive Language Identification

ACL 2023short

We present TBO, a new dataset for Target-based Offensive language identification. TBO contains post-level annotations regarding the harmfulness of an offensive post and token-level annotations comprising of the target and the offensive argument expression. Popular offensive language identification d…

2021

Multilingual Transfer Learning for QA using Translation as Data Augmentation

AAAI 2021technical

Prior work on multilingual question answering has mostly focused on using large multilingual pre-trained language models (LM) to perform zero-shot language-wise learning: train a QA model on English and test on other languages. In this work, we explore strategies that improve cross-lingual transfer…

Cited by 43SourcePDFScholar
2020

A Multilingual Reading Comprehension System for more than 100 Languages

COLING 2020system demonstrations

This paper presents M-GAAMA, a Multilingual Question Answering architecture and demo system. This is the first multilingual machine reading comprehension (MRC) demo which is able to answer questions in over 100 languages. M-GAAMA answers questions from a given passage in the same or different langua…