Michael Schmitz | Semantic Scholar

Publications
Influence

Open Language Learning for Information Extraction

Mausam, Michael Schmitz, Stephen Soderland, Robert Bart, Oren Etzioni

Computer Science

EMNLP-CoNLL

2012

Open Information Extraction (IE) systems extract relational tuples from text, without requiring a pre-specified vocabulary, by identifying relation phrases and associated arguments in arbitrary… Continue Reading

Programming Idioms for Transactional Events

Matthew Kehrt, Laura Effinger-Dean, Michael Schmitz, Dan Grossman

Computer Science

PLACES

2009 (First Publication: 4 February 2010)

Transactional events (TE) are an extension of Concurrent ML (CML), a programming model for synchronous message-passing. Prior work has focused on TE's formal semantics and its implementation. This… Continue Reading

A Deep Semantic Natural Language Processing Platform

Matt Gardner, Joel Grus, +6 authors Luke Zettlemoyer

Computer Science

2017

This paper describes AllenNLP, a platform for research on deep learning methods in natural language understanding. AllenNLP is designed to support researchers who want to build novel language… Continue Reading

Open Language Learning for Information Extraction (Author's Manuscript)

Michael Schmitz, Robert Bart, Stephen Soderland, Oren Etzioni

Computer Science

2012 (First Publication: 12 July 2012)

Co‐Subjective Consciousness Constitutes Collectives

Michael Schmitz

Psychology

2018

In this article, I introduce and defend what I call the “subject mode account” of collective intentionality. I propose to understand collectives from joint attention dyads over small informal groups… Continue Reading