activity
19982015
most citedProspects for in-depth story understanding by computer

23 citations · 67 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2015

Using Thought-Provoking Children's Questions to Drive Artificial Intelligence Research

Erik T. Mueller, Henry Minsky

We propose to use thought-provoking children's questions (TPCQs), namely Highlights BrainPlay questions, as a new method to drive artificial intelligence research and to evaluate t…

cs.AI2012★ 12 cited

Reasoning about RoboCup Soccer Narratives

Hannaneh Hajishirzi, Julia Hockenmaier, Erik T. Mueller +1

This paper presents an approach for learning to translate simple narratives, i.e., texts (sequences of sentences) describing dynamic systems, into coherent sequences of events with…

cs.AI2000★ 14 cited

A database and lexicon of scripts for ThoughtTreasure

Erik T. Mueller

Since scripts were proposed in the 1970's as an inferencing mechanism for AI and natural language processing programs, there have been few attempts to build a database of scripts.…

cs.AI2000★ 23 cited

Prospects for in-depth story understanding by computer

Erik T. Mueller

While much research on the hard problem of in-depth story understanding by computer was performed starting in the 1970s, interest shifted in the 1990s to information extraction and…

cs.IR2000★ 1 cited

Making news understandable to computers

Erik T. Mueller

Computers and devices are largely unaware of events taking place in the world. This could be changed if news were made available in a computer-understandable form. In this paper we…

cs.OS1998

A nested transaction mechanism for LOCUS

Erik T. Mueller, Johanna D. Moore, Gerald J. Popek

A working implementation of nested transactions has been produced for LOCUS, an integrated distributed operating system which provides a high degree of network transparency. Severa…