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218
The Effectiveness of a Graph-based Algorithm for Stemming
- Digital Libraries: People, Knowledge, and Technology. Proceedings of 5th International Conference on Asian Digital Libraries (ICADL 2002
"... Abstract. In Information Retrieval (IR), stemming enables a match-ing of query and document terms which are related to a same meaning but which can appear in different morphological variants. In this pa-per we will propose and evaluate a statistical graph-based algorithm for stemming. Considering th ..."
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Cited by 8 (3 self)
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Abstract. In Information Retrieval (IR), stemming enables a match-ing of query and document terms which are related to a same meaning but which can appear in different morphological variants. In this pa-per we will propose and evaluate a statistical graph-based algorithm for stemming. Considering
Multimedia and understanding: Expert and novice responses to different representations of chemical phenomena
- Journal of Research in Science Teaching
, 1997
"... Abstract: In two experiments, we examined how professional chemists (i.e., experts) and undergrad-uate chemistry students (i.e., novices) respond to a variety of chemistry representations (video segments, graphs, animations, and equations). In the first experiment, we provided subjects with a range ..."
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Cited by 105 (7 self)
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an equation and asked to draw a graph). Experts were better than novices in providing equivalent representations, particularly verbal descriptions for any given representation. We discuss the role that surface features of representations play in the un-derstanding of chemistry, and we emphasize the importance
Application of graph-based data mining to metabolic pathways. Workshop on Data Mining
- in Bioinfomratics, IEEE International Conference on Data Mining, December 18-22, 2006, Hong Kong, 2006. JM701130Z 654 Journal of Medicinal Chemistry
"... We present a method for finding biologically meaning-ful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data that has been generated by long-term re-search encourages us to move our focus to a systems-level understanding of bio-sys ..."
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Cited by 7 (5 self)
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We present a method for finding biologically meaning-ful patterns on metabolic pathways using the SUBDUE graph-based relational learning system. A huge amount of biological data that has been generated by long-term re-search encourages us to move our focus to a systems-level understanding of bio
A Graph-Based Approach to Commonsense Concept Extraction and Semantic Similarity Detection
"... Commonsense knowledge representation and reasoning support a wide variety of potential applications in fields such as document auto-categorization, Web search enhancement, topic gisting, social process modeling, and concept-level opinion and sentiment analysis. Solutions to these problems, however, ..."
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Cited by 4 (1 self)
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Commonsense knowledge representation and reasoning support a wide variety of potential applications in fields such as document auto-categorization, Web search enhancement, topic gisting, social process modeling, and concept-level opinion and sentiment analysis. Solutions to these problems, however
workshop on Graph-based Algorithms for Natural Language Processing Workshop chairs:
, 2008
"... Recent years have shown an increased interest in bringing the field of graph theory into Natural Language Processing. In many NLP applications entities can be naturally represented as nodes in a graph and relations between them can be represented as edges. Recent research has shown that graphbased r ..."
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Recent years have shown an increased interest in bringing the field of graph theory into Natural Language Processing. In many NLP applications entities can be naturally represented as nodes in a graph and relations between them can be represented as edges. Recent research has shown that graphbased
STORIES in time: a graph-based interface for news tracking and discovery
"... Abstract—We present the STORIES methods and tool for (a) learning an abstracted story representation from a collection of time-indexed documents; (b) visualising it in a way that encourages users to interact and explore in order to discover temporal “story stages ” depending on their interests; and ..."
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Cited by 2 (0 self)
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Abstract—We present the STORIES methods and tool for (a) learning an abstracted story representation from a collection of time-indexed documents; (b) visualising it in a way that encourages users to interact and explore in order to discover temporal “story stages ” depending on their interests
Two Approaches for QA4MRE: Information Retrieval and Graph-based knowledge
"... Abstract. In this paper we present our approaches for tackling the QA4MRE 2013 main task. We have built two different methodologies, one based on information retrieval and the other one based on graph representations of the text, additionally we have built a third hybrid methodology combining both o ..."
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Abstract. In this paper we present our approaches for tackling the QA4MRE 2013 main task. We have built two different methodologies, one based on information retrieval and the other one based on graph representations of the text, additionally we have built a third hybrid methodology combining both
Document Representation and Multilevel Measures of Document Similarity
"... We present our work on combining largescale statistical approaches with local linguistic analysis and graph-based machine learning techniques to compute a combined measure of semantic similarity between terms and documents for application in information extraction, question answering, and summarisat ..."
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Cited by 3 (0 self)
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We present our work on combining largescale statistical approaches with local linguistic analysis and graph-based machine learning techniques to compute a combined measure of semantic similarity between terms and documents for application in information extraction, question answering
C.: A systematic approach to connectors in a multi-level modeling environment
, 2008
"... Abstract. The advantage of supporting a uniform modeling approach across multiple, logical (or ontological) instantiation levels has been well documented in the literature. However, the published approaches for achieving this have focused on making it possible for classes and objects to be treated ..."
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Cited by 5 (0 self)
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uniformly across multiple instantiation levels, but have neglected the problems involved in doing the same thing for "connectors" (i.e. concepts rendered as edges in graph based depiction of models rather than nodes). On closer examination, this turns out to be a significant problem, because
Title of Document: A SENSORY-MOTOR LINGUISTIC FRAMEWORK FOR HUMAN ACTIVITY UNDERSTANDING
"... We empirically discovered that the space of human actions has a linguistic structure. This is a sensory-motor space consisting of the evolution of joint angles of the human body in movement. The space of human activity has its own phonemes, morphemes, and sentences. We present a Human Activity Langu ..."
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with symbols (symbolization). This way, kinetology provides a symbolic representation for human movement that allows synthesis, analysis, and symbolic manipulation. We introduce a kinetological system and propose five basic principles on which such a system should be based: compactness, view
Results 1 - 10
of
218
