Publications associated with the OpenMind Initiative

(these discuss collection or use of OpenMind data)

• William Pentney, Matthai Philipose, Jeff Bilmes and Henry Kautz (2007), Learning Large Scale Common Sense Models of Everyday Life, In Proceedings of the 27th Annual Conference of AAAI, 2007.

• Robert Speer (2007), Open Mind Commons: An Inquisitive Approach to Learning Common Sense, Workshop on Common Sense and Intelligent User Interfaces, January 28, 2007, Honolulu, Hawaii

• Jason B. Alons (2007), CSAMOA: A Common Sense Application Model of Architecture, Workshop on Common Sense and Intelligent User Interfaces, January 28, 2007, Honolulu, Hawaii

• William Pentney, Henry Kautz, Matthai Philipose, Ana-Maria Popescu, and Shiaokai Wang. Sensor-Based Understanding of Daily Life via Large-Scale Use of Common Sense , Proceedings of the 26th Annual Conference of AAAI, 2006.

• Timothy Chklovski (2005), Towards Managing Knowledge Collection from Volunteer Contributors, Proceedings of AAAI Spring Symposium on Knowledge Collection from Volunteer Contributors (KCVC05), Stanford, CA. 2005.

• Timothy Chklovski and Yolanda Gil (2005), Improving the Design of Intelligent Acquisition Interfaces for Collecting World Knowledge from Web Contributors, Proceedings of the Third International Conference on Knowledge Capture (K-CAP). October 2-5,, Banff, Canada. 2005.

• Timothy Chklovski and Yolanda Gil (2005), An Analysis of Knowledge Collected from Volunteer Contributors, Proceedings of the Twentieth National Conference on Artificial Intelligence (AAAI-05), Pittsburgh, Pennsylvania. 2005.

• Timothy Chklovski (2005), Collecting Paraphrase Corpora from Volunteer Contributors , Proceedings of the Third International Conference on Knowledge Capture (K-CAP). October 2-5,, Banff, Canada. 2005.

• Timothy Chklovski (2005), Designing Interfaces for Guided Collection of Knowledge about Everyday Objects from Volunteers , Proceedings of Conference on Intelligent User Interfaces (IUI05)., San Diego. 2005.

• Timothy Chklovski (2005), 1001 Paraphrases: Incenting Responsible Contributions in Collecting Paraphrases from Volunteers, Proceedings of AAAI Spring Symposium on Knowledge Collection from Volunteer Contributors (KCVC05)., Stanford, CA. 2005.

• Ryan Williams, Barbara Barry, and Push Singh (2005). ComicKit: acquiring story scripts using commonsense feedback. Proceedings of the ACM International Conference on Intelligent User Interfaces (IUI 2005). San Diego, CA.

• Rakesh Gupta and Mykel Kochenderfer (2004). Common Sense Data Acquisition for Indoor Mobile Robots, Nineteenth National Conference on Artificial Intelligence (AAAI-04), July 25-29, 2004, San Jose, California.

• Henry Lieberman, Hugo Liu, Push Singh, and Barbara Barry (2004). Beating common sense into interactive applications. AI Magazine, Winter 2004, 25(4):63-76. AAAI Press. Argues that it is now possible to build commonsense-reasoning-enabled applications, with a number of examples.

• Push Singh, Barbara Barry, and Hugo Liu (2004). Teaching machines about everyday life. BT Technology Journal, 22(4):227-240. Reviews several commonsense reasoning systems we are building at the lab--ConceptNet, LifeNet, and StoryNet.

• Hugo Liu and Push Singh (2004). ConceptNet: a practical commonsense reasoning toolkit. BT Technology Journal, 22(4):211-226. Elaborates on ConceptNet.

• Hugo Liu and Push Singh (2004). Commonsense reasoning in and over natural language. Proceedings of the 8th International Conference on Knowledge-Based Intelligent Information & Engineering Systems (KES-2004). Describes ConceptNet, a semantic network we mined out of the Open Mind Common Sense corpus, and its associated toolkit for making inferences.

• Nathan Eagle and Push Singh (2004). Context sensing using speech and common sense. To appear in Proceedings of the NAACL/HLT 2004 workshop on Higher-Level Linguistic and Other Knowledge for Automatic Speech Processing. Describes two systems, GISTER and OVERHEAR, that infer aspects of a person's context from noisy transcriptions of their speech by using the ConceptNet and LifeNet commonsense knowledge bases.

• C. Lam and David G. Stork (2003), Evaluating classifiers by means of test data with noisy labels, Proceedings of the International Joint Conference on Artificial Intelligence, Acapulco Mexico (2003), pp. 513--518.

• Timothy Chklovski (2003), LEARNER: A System for Acquiring Commonsense Knowledge by Analogy, Proceedings of Second International Conference on Knowledge Capture (K-CAP), October. 2003.

• Timothy Chklovski (2003), Using Analogy to Acquire Commonsense Knowledge from Human Contributors, PhD Thesis, MIT Artificial Intelligence Laboratory, (also AL lab technical report AITR-2003-002). February 2003.

• Push Singh and William Williams (2003). LifeNet: a propositional model of ordinary human activity. Proceedings of the Workshop on Distributed and Collaborative Knowledge Capture (DC-KCAP) at K-CAP 2003. Sanibel Island, FL. Describes a new common sense knowledge base we built from the Open Mind Common Sense corpus, one based on a "first-person" propositional representation over which statistical inference is performed.

• Push Singh and Barbara Barry (2003). Collecting commonsense experiences. Proceedings of the Second International Conference on Knowledge Capture (K-CAP 2003). Sanibel Island, FL. Describes our most recent Open Mind project, "Open Mind Experiences", a web site designed to collect stories and story explanations from the general public. (This site has not yet been launched.)

• Nathan Eagle, Push Singh, and Alex (Sandy) Pentland (2003). Common sense conversations: understanding casual conversation using a common sense database. Proceedings of the Artificial Intelligence, Information Access, and Mobile Computing Workshop (IJCAI 2003). Acapulco, Mexico. Describes a system we built to guess the fine-grained topic of a spoken conversation given noisy speech transcriptions, location information, and common-sense.

• Push Singh, Thomas Lin, Erik T. Mueller, Grace Lim, Travell Perkins and Wan Li Zhu (2002). Open Mind Common Sense: Knowledge acquisition from the general public. Proceedings of the First International Conference on Ontologies, Databases, and Applications of Semantics for Large Scale Information Systems. Irvine, CA. Describes the data we collected in the original Open Mind Common Sense web site, and describes the design of a second-generation version focusing more on templates and a more structured way of doing knowledge acquisition.

• Push Singh (2002). The public acquisition of commonsense knowledge.Proceedings of AAAI Spring Symposium on Acquiring (and Using) Linguistic (and World) Knowledge for Information Access.Palo Alto, CA. Describes the Open Mind Common Sense project, and argues that English itself could be used as an underlying representation for commonsense reasoning. It also describes a simple web search engine application that uses commonsense knowledge to improve search queries.

• Push Singh (2001). The Open Mind Common Sense project. KurzweilAI.net. A high level discussion of the goals and philosophy behind the Open Mind Common Sense project.

• David G. Stork (2001), Toward a Computational Theory of Data Acquisition and Truthing Proceedings of Computational Learning Theory (COLT 01), David Helmbold (editor), Springer Series in Computer Science, 2001.

• David G. Stork (2001), An Architecture Supporting the Collection and Monitoring of Data Openly Contributed Over the World Wide Web Workshop on Enabling Technologies: Infrastructure for Collaborative Enterprises (WET ICE), Massachusetts Institute of Technology, June 2001.

• David G. Stork (2000) Using Open Data Collection for Intelligent Software, Computer, page 104-106, October 2000.

• David G. Stork and Chuck Lam (2000), Open Mind Animals: Insuring the quality of data openly contributed over the World Wide Web to accompany talk "Beyond imbalanced data sets," AAAI Workshop on learning with imbalanced data sets, American Association of Artificial Intelligence Meeting, July 31, 2000.

• David G. Stork (2000), Open data collection for training intelligent software in the Open Mind Initiative Proceedings of the Engineering Intelligent Systems Symposium EIS'2000, U. Paisley Scotland, June 27-30, 2000.

• Jean-Marc Valin and David G. Stork (1999), Open Mind speech recognition, Proceedings of the Automatic Speech Recognition Workshop, ASRU99, Keystone CO, December 12-15, 1999.

• David G. Stork (1999)Character and Document Research in the Open Mind Initiative Proceedings of the Fifth International Conference on Document Analysis and Recognition, pp. 1-12, IEEE Computer Press (1999).

• David G. Stork (1999), The Open Mind Initiative, IEEE Expert Systems and Their Applications pp. 16-20, May/June 1999.