S
Siva Reddy
Researcher at University of Cambridge
Publications - 82
Citations - 4168
Siva Reddy is an academic researcher from University of Cambridge. The author has contributed to research in topics: Parsing & Natural language. The author has an hindex of 25, co-authored 82 publications receiving 3321 citations. Previous affiliations of Siva Reddy include McGill University & International Institute of Information Technology, Hyderabad.
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Journal ArticleDOI
CoQA: A Conversational Question Answering Challenge
TL;DR: The CoQA dataset as mentioned in this paper contains 127k questions with answers, obtained from 8k conversations about text passages from seven diverse domains, and the answers are free-form text with their corresponding evidence highlighted in the passage.
Posted Content
StereoSet: Measuring stereotypical bias in pretrained language models
TL;DR: StereoSet, a large-scale natural English dataset to measure stereotypical biases in four domains: gender, profession, race, and religion, is presented and it is shown that popular models like BERT, GPT-2, RoBERTa, and XLnet exhibit strong stereotypical biases.
Proceedings ArticleDOI
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
Daniel Zeman,Martin Popel,Milan Straka,Jan Hajič,Joakim Nivre,Filip Ginter,Juhani Luotolahti,Sampo Pyysalo,Slav Petrov,Martin Potthast,Francis M. Tyers,Elena Badmaeva,Memduh Gökırmak,Anna Nedoluzhko,Silvie Cinková,Jaroslava Hlaváčová,Václava Kettnerová,Zdenka Uresova,Jenna Kanerva,Stina Ojala,Anna Missilä,Christopher D. Manning,Sebastian Schuster,Siva Reddy,Dima Taji,Nizar Habash,Herman Leung,Marie-Catherine de Marneffe,Manuela Sanguinetti,Maria Simi,Hiroshi Kanayama,Valeria dePaiva,Kira Droganova,Héctor Martínez Alonso,Ça ugrı Çöltekin,Umut Sulubacak,Hans Uszkoreit,Vivien Macketanz,Aljoscha Burchardt,Kim Harris,Katrin Marheinecke,Georg Rehm,Tolga Kayadelen,Mohammed Attia,Ali Elkahky,Zhuoran Yu,Emily Pitler,Saran Lertpradit,Michael Mandl,Jesse Kirchner,Hector Fernandez Alcalde,Jana Strnadová,Esha Banerjee,Ruli Manurung,Antonio Stella,Atsuko Shimada,Sookyoung Kwak,Gustavo Mendonça,Tatiana Lando,Rattima Nitisaroj,Josie Li +60 more
TL;DR: The task and evaluation methodology is defined, how the data sets were prepared, report and analyze the main results, and a brief categorization of the different approaches of the participating systems are provided.
Proceedings ArticleDOI
Question Answering on Freebase via Relation Extraction and Textual Evidence
TL;DR: The authors used a neural network based relation extractor to retrieve candidate answers from Freebase, and then infer over Wikipedia to validate these answers, achieving an F_1 of 53.3% on the WebQuestions question answering dataset.
Journal ArticleDOI
Large-scale Semantic Parsing without Question-Answer Pairs
TL;DR: This paper introduces a novel semantic parsing approach to query Freebase in natural language without requiring manual annotations or question-answer pairs and converts sentences to semantic graphs using CCG and subsequently grounds them to Freebase guided by denotations as a form of weak supervision.