Search Results for author: Sara Rosenthal

Found 24 papers, 4 papers with code

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development

1 code implementation23 Jan 2023 Avirup Sil, Jaydeep Sen, Bhavani Iyer, Martin Franz, Kshitij Fadnis, Mihaela Bornea, Sara Rosenthal, Scott McCarley, Rong Zhang, Vishwajeet Kumar, Yulong Li, Md Arafat Sultan, Riyaz Bhat, Radu Florian, Salim Roukos

The field of Question Answering (QA) has made remarkable progress in recent years, thanks to the advent of large pre-trained language models, newer realistic benchmark datasets with leaderboards, and novel algorithms for key components such as retrievers and readers.

Question Answering Reading Comprehension +1

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

no code implementations16 Jun 2022 Scott McCarley, Mihaela Bornea, Sara Rosenthal, Anthony Ferritto, Md Arafat Sultan, Avirup Sil, Radu Florian

Recent machine reading comprehension datasets include extractive and boolean questions but current approaches do not offer integrated support for answering both question types.

Machine Reading Comprehension

Do Answers to Boolean Questions Need Explanations? Yes

no code implementations14 Dec 2021 Sara Rosenthal, Mihaela Bornea, Avirup Sil, Radu Florian, Scott McCarley

Existing datasets that contain boolean questions, such as BoolQ and TYDI QA , provide the user with a YES/NO response to the question.

Are Multilingual BERT models robust? A Case Study on Adversarial Attacks for Multilingual Question Answering

no code implementations15 Apr 2021 Sara Rosenthal, Mihaela Bornea, Avirup Sil

Recent approaches have exploited weaknesses in monolingual question answering (QA) models by adding adversarial statements to the passage.

Question Answering

Multilingual Transfer Learning for QA Using Translation as Data Augmentation

no code implementations10 Dec 2020 Mihaela Bornea, Lin Pan, Sara Rosenthal, Radu Florian, Avirup Sil

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.

Cross-Lingual Transfer Data Augmentation +4

SOLID: A Large-Scale Semi-Supervised Dataset for Offensive Language Identification

no code implementations Findings (ACL) 2021 Sara Rosenthal, Pepa Atanasova, Georgi Karadzhov, Marcos Zampieri, Preslav Nakov

The widespread use of offensive content in social media has led to an abundance of research in detecting language such as hate speech, cyberbullying, and cyber-aggression.

Language Identification

SemEval-2013 Task 2: Sentiment Analysis in Twitter

no code implementations SEMEVAL 2013 Preslav Nakov, Zornitsa Kozareva, Alan Ritter, Sara Rosenthal, Veselin Stoyanov, Theresa Wilson

To address this issue, we have proposed SemEval-2013 Task 2: Sentiment Analysis in Twitter, which included two subtasks: A, an expression-level subtask, and B, a message-level subtask.

Sentiment Analysis Test

Leveraging Medical Literature for Section Prediction in Electronic Health Records

no code implementations IJCNLP 2019 Sara Rosenthal, Ken Barker, Zhicheng Liang

We propose using sections from medical literature (e. g., textbooks, journals, web content) that contain content similar to that found in EHR sections.

Information Retrieval Retrieval +1

SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media (OffensEval)

1 code implementation SEMEVAL 2019 Marcos Zampieri, Shervin Malmasi, Preslav Nakov, Sara Rosenthal, Noura Farra, Ritesh Kumar

We present the results and the main findings of SemEval-2019 Task 6 on Identifying and Categorizing Offensive Language in Social Media (OffensEval).

Language Identification

Annotating Agreement and Disagreement in Threaded Discussion

no code implementations LREC 2012 Jacob Andreas, Sara Rosenthal, Kathleen McKeown

We introduce a new corpus of sentence-level agreement and disagreement annotations over LiveJournal and Wikipedia threads.

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