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230
OMCSNet: A Commonsense Inference Toolkit
- In Submission. (2003) Available at: web.media.mit.edu/~hugo/publications
, 2002
"... Large, easy-to-use semantic networks of symbolic linguistic knowledge such as WordNet and MindNet have become staple resources for semantic analysis tasks from query expansion to word-sense disambiguation. However, the knowledge captured by these resources is limited to formal taxonomic relations be ..."
Abstract
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Cited by 6 (1 self)
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knowledge from a webbased community of instructors, OMCSNet is presently a semantic network of 280,000 items of common-sense knowledge, and a set of tools for making inferences using this knowledge. In this paper, we describe OMCSNet, evaluate it in the context of other semantic knowledge bases, and review
From Treebank Parses to Episodic Logic and Commonsense Inference
"... We have developed an approach to broad-coverage semantic parsing that starts with Treebank parses and yields scoped, deindexed formulas in Episodic Logic (EL) that are directly usable for knowledge- ..."
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We have developed an approach to broad-coverage semantic parsing that starts with Treebank parses and yields scoped, deindexed formulas in Episodic Logic (EL) that are directly usable for knowledge-
Commonsense Inference in Dynamic Spatial Systems “Phenomenal and Reasoning Requirements”
"... Spatial changes within an environment are typi-cally a result of interaction — actions and events — occurring within. Reasoning about such changes, when dealt with formally within the context of qualitative spatial calculi and logics of action and change, poses several difficulties along multiple di ..."
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concerning the need to satisfy the intrinsic (axiomatic) proper-ties of the spatial calculi (e.g., compositional con-sistency) being modelled. This paper, encompass-ing the phenomenal and reasoning aspects in (a) and (b) respectively, presents some instances that demonstrate the role of commonsense reasoning
Abstract We introduce CIM, a Commonsense Inference Memory system utilizing both Extended Semantic Networks
"... and Bayesian Networks that builds upon the commonsense ..."
ConceptNet: A Practical Commonsense Reasoning Toolkit
- BT TECHNOLOGY JOURNAL
, 2004
"... ConceptNet is a freely available commonsense knowledgebase and natural-language-processing toolkit which supports many practical textual-reasoning tasks over real-world documents including topic-jisting (e.g. a news article containing the concepts, "gun," "convenience store," &qu ..."
Abstract
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Cited by 343 (7 self)
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"knife" because they are all "sharp," and can be used to "cut something"), and other contextoriented inferences. The knowledgebase is a semantic network presently consisting of over 1.6 million assertions of commonsense knowledge encompassing the spatial, physical, social
The neural basis of human error processing: Reinforcement learning, dopamine, and the error-related negativity
- PSYCHOLOGICAL REVIEW 109:679–709
, 2002
"... The authors present a unified account of 2 neural systems concerned with the development and expression of adaptive behaviors: a mesencephalic dopamine system for reinforcement learning and a “generic ” error-processing system associated with the anterior cingulate cortex. The existence of the error ..."
Abstract
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Cited by 430 (20 self)
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of the error-processing system has been inferred from the error-related negativity (ERN), a component of the event-related brain potential elicited when human participants commit errors in reaction-time tasks. The authors propose that the ERN is generated when a negative reinforcement learning signal
NLog-like Inference and Commonsense Reasoning
"... Recent implementations of Natural Logic (NLog) have shown that NLog provides a quite direct means of going from sentences in ordinary language to many of the obvious entailments of those sentences. We show here that Episodic Logic (EL) and its Epilog implementation are well-adapted to capturing NLog ..."
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NLog-like inferences, but beyond that, also support inferences that require a combination of lexical knowledge and world knowledge. However, broad language understanding and commonsense reasoning are still thwarted by the “knowledge acquisition bottleneck”, and we summarize some of our ongoing
NLog-like Inference and Commonsense Reasoning
, 2014
"... Recent implementations of Natural Logic (NLog) have shown that NLog provides a quite direct means of going from sentences in ordinary language to many of the obvious entailments of those sentences. We show here that Episodic Logic (EL) and its Epilog implementation are well-adapted to capturing NLog ..."
Abstract
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NLog-like inferences, but beyond that, also support inferences that require a combination of lexical knowledge and world knowledge. However, broad language understanding and com-monsense reasoning are still thwarted by the “knowledge acquisition bottleneck”, and we summarize some of our ongoing
Commonsense from the Web: Relation Properties
"... When general purpose software agents fail, it’s often because they’re brittle and need more background commonsense knowledge. In this paper we present relation properties as a valuable type of commonsense knowledge that can be automatically inferred at scale by reading the Web. People base many comm ..."
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Cited by 2 (2 self)
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When general purpose software agents fail, it’s often because they’re brittle and need more background commonsense knowledge. In this paper we present relation properties as a valuable type of commonsense knowledge that can be automatically inferred at scale by reading the Web. People base many
Commonsense reasoning in and over natural language
- PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS (KES-2004
, 2004
"... ConceptNet is a very large semantic network of commonsense knowledge suitable for making various kinds of practical inferences over text. ConceptNet captures a wide range of commonsense concepts and relations like those in Cyc, while its simple semantic network structure lends it an ease-of-use co ..."
Abstract
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Cited by 50 (3 self)
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ConceptNet is a very large semantic network of commonsense knowledge suitable for making various kinds of practical inferences over text. ConceptNet captures a wide range of commonsense concepts and relations like those in Cyc, while its simple semantic network structure lends it an ease
Results 1 - 10
of
230
