Controlling search for the consequences of new information during knowledge integration
Proceedings of the sixth international workshop on Machine learning
Artificial Intelligence - Special volume on natural language processing
Learning parse and translation decisions from examples with rich context
Learning parse and translation decisions from examples with rich context
A library of generic concepts for composing knowledge bases
Proceedings of the 1st international conference on Knowledge capture
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
Proceedings of the 3rd international conference on Knowledge capture
Indirect anaphora resolution as semantic path search
Proceedings of the 3rd international conference on Knowledge capture
Parsing and question classification for question answering
ODQA '01 Proceedings of the workshop on Open-domain question answering - Volume 12
Interpreting loosely encoded questions
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A statistical semantic parser that integrates syntax and semantics
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Learning by reading: an experiment in text analysis
TSD'06 Proceedings of the 9th international conference on Text, Speech and Dialogue
Proceedings of the 4th international conference on Knowledge capture
Knowledge integration across multiple texts
Proceedings of the fifth international conference on Knowledge capture
Multimodal knowledge capture from text and diagrams
Proceedings of the fifth international conference on Knowledge capture
Journal of Computing Sciences in Colleges
The TextCap semantic interpreter
STEP '08 Proceedings of the 2008 Conference on Semantics in Text Processing
International Journal of Advanced Intelligence Paradigms
Unsupervised techniques for discovering ontology elements from Wikipedia article links
FAM-LbR '10 Proceedings of the NAACL HLT 2010 First International Workshop on Formalisms and Methodology for Learning by Reading
Naturalness vs. predictability: a key debate in controlled languages
CNL'09 Proceedings of the 2009 conference on Controlled natural language
Towards open ontology learning and filtering
Information Systems
An empirical evaluation of data-driven paraphrase generation techniques
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Mavuno: a scalable and effective Hadoop-based paraphrase acquisition system
Proceedings of the Third Workshop on Large Scale Data Mining: Theory and Applications
Heuristic algorithm for extraction of facts using relational model and syntactic data
MICAI'11 Proceedings of the 10th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
When did that happen?: linking events and relations to timestamps
EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics
Dependency-based open information extraction
ROBUS-UNSUP '12 Proceedings of the Joint Workshop on Unsupervised and Semi-Supervised Learning in NLP
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A traditional goal of Artificial Intelligence research has been a system that can read unrestricted natural language texts on a given topic, build a model of that topic and reason over the model. Natural Language Processing advances in syntax and semantics have made it possible to extract a limited form of meaning from sentences. Knowledge Representation research has shown that it is possible to model and reason over topics in interesting areas of human knowledge. It is useful for these two communities to reunite periodically to see where we stand with respect to the common goal of text understanding. In this paper, we describe a coordinated effort among researchers from the Natural Language and Knowledge Representation and Reasoning communities. We routed the output of existing NL software into existing KR software to extract knowledge from texts for integration with engineered knowledge bases. We tested the system on a suite of roughly 80 small English texts about the form and function of the human heart, as well as a handful of "confuser" texts from other domains. We then manually evaluated the knowledge extracted from novel texts. Our conclusion is that the technology from these fields is mature enough to start producing unified machine reading systems. The results of our exercise provide a performance baseline for systems attempting to acquire models from text.