Search Results for author: Philip Massey

Found 3 papers, 1 papers with code

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

4 code implementations • 6 Mar 2020 • Michael Broughton, Guillaume Verdon, Trevor McCourt, Antonio J. Martinez, Jae Hyeon Yoo, Sergei V. Isakov, Philip Massey, Ramin Halavati, Murphy Yuezhen Niu, Alexander Zlokapa, Evan Peters, Owen Lockwood, Andrea Skolik, Sofiene Jerbi, Vedran Dunjko, Martin Leib, Michael Streif, David Von Dollen, Hongxiang Chen, Shuxiang Cao, Roeland Wiersema, Hsin-Yuan Huang, Jarrod R. McClean, Ryan Babbush, Sergio Boixo, Dave Bacon, Alan K. Ho, Hartmut Neven, Masoud Mohseni

We introduce TensorFlow Quantum (TFQ), an open source library for the rapid prototyping of hybrid quantum-classical models for classical or quantum data.

BIG-bench Machine Learning Meta-Learning +1

1,737

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Generating Logical Forms from Graph Representations of Text and Entities

no code implementations • ACL 2019 • Peter Shaw, Philip Massey, Angelica Chen, Francesco Piccinno, Yasemin Altun

Structured information about entities is critical for many semantic parsing tasks.

Semantic Parsing

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Annotating Character Relationships in Literary Texts

no code implementations • 2 Dec 2015 • Philip Massey, Patrick Xia, David Bamman, Noah A. Smith

We present a dataset of manually annotated relationships between characters in literary texts, in order to support the training and evaluation of automatic methods for relation type prediction in this domain (Makazhanov et al., 2014; Kokkinakis, 2013) and the broader computational analysis of literary character (Elson et al., 2010; Bamman et al., 2014; Vala et al., 2015; Flekova and Gurevych, 2015).

Type prediction

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