tree-structured
Tree structured Decoding for Solving Math Word Problems
... Meanwhile, in similar tasks such as semantic parsing and code generation, which also try to convert natural language into a well-formed ex- ecutable tree structured output, they first decode the function or ...
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Tree Structured Dirichlet Processes for Hierarchical Morphological Segmentation
... This article presents a probabilistic hierarchical clustering model for morphological segmenta- tion. In contrast to existing approaches to morphology learning, our method allows learning hierarchical organization of ...
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Tree Structured Symmetrical Systems of Linear Equations and their Graphical Solution
... Tree structured symmetrical systems of linear equations (TSSSLE) are SLE where the graph repre- senting the SLE is a ...a tree structure can be derived for the SLE representing these ...
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Rumor Detection on Twitter with Tree structured Recursive Neural Networks
... tion flows from source post to the current node. The idea of this top-down approach is to generate a strengthened feature vector for each post consid- ering its propagation path, where rumor-indicative features are ...
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Modelling Sentence Pairs with Tree structured Attentive Encoder
... dependency Tree-LSTM, combine-skip+COCO and ConvNet almost achieve the same performance and our Atten- tive Tree-LSTMs outperforms these three methods around ...Attentive Tree-LSTMs gains an ...
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Models Cascade for Tree Structured Named Entity Detection
... quite poor results. Note also that most syntactic parsing solutions, are designed to perform parsing using Part-of-Speech (POS) tags, annotated upon words, as tree leaves, instead of words. This solu- tion ...
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Investigating Dynamic Routing in Tree Structured LSTM for Sentiment Analysis
... a tree-LSTM model to introduce useful structural information from sentence parse ...the tree-LSTM also heavily emphasizes the root node in the tree to build sentence ...the tree-LSTM still ...
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DETECTION OF MASQUERADERS USING TREE STRUCTURED SVM
... Abstract— Creating and recognizing automatically the behavior profile of a user from the commands in a command line interface. Computer user behavior is represented as a sequence of UNIX commands. This sequence is ...
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PP 2006 15: Tractable Negotiation in Tree structured Domains
... We have further analysed a negotiation framework previ- ously studied by several authors [7, 8, 9, 18]. While most work on negotiation in multiagent systems has addressed either bilateral negotiation [16] or auctions ...
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Statistical tests for large tree structured data
... of tree-structured objects has received appreciable attention in recent years owing to the emergence of datasets wherein the underlying quantities of interest allow for tree-like ...trees; ...
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Head First Linearization with Tree Structured Representation
... the tree-based repre- sentation to the linearization models; (2) we im- prove the linearization algorithm with plausible linguistic intuition; and (3) we conduct a ...
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Online Full Text
... Abstract— Electronic data like XML/HTML doc- uments, called tree structured data, have been rapidly increasing and have become larger day by day. In this paper, we propose an efficient compression and ...
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Reliable Point to Multipoint Hierarchical Routing in Scatternet Sensor Network
... The simulation results and performance analysis are explained through HR algorithm. For the experimental purpose, 31 nodes are used. Except the sink node, remaining 30 nodes are divided into six clusters. First, the ...
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IMPLEMENTATION OF ANONYMIZING COLLECTIONS OF TREE-STRUCTURED DATA
... of tree-structured personal records where values are linked through structural ...Such tree structured data cannot be anonymized effectively with table based anonymization methods since the ...
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Structural Embedding of Syntactic Trees for Machine Comprehension
... information structured by constituency tree and dependency tree into neural attention models for the question answering ...of tree structured in- formation such as knowledge graphs and ...
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How to Achieve High Throughput with Dynamic Tree-Structured Coterie
... Many works focus on quorum systems’ performance improvement. They usually concentrated on the latency between processors that maintain the copies to construct adapted structured-coterie [20, 10, 6]. The authors of ...
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Tree-Structured Neural Decoding
... In the spirit of developing a generic tool for investigating neural decoding, we have not assumed any specific mathematical model (Barbieri et al., 2001; Frank et al., 2000; Wiener and Richmond, 2001; Dimitrov and ...
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Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient
... a Tree-structured Pol- icy Gradient Recommendation (TPGR) framework, where a balanced hierarchical clustering tree is built over the items and picking an item is formulated as seeking a path from the ...
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Boundary Conditions and Uncertainty Quantification for Hemodynamics.
... the structured tree is that its parameters may be directly measured due to their physiological ...The structured tree thus has the potential to allow for rea- sonable simulation results ...
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Learning Sentence Representations over Tree Structures for Target Dependent Classification
... the tree, al- though there are sequentially many words in be- ...biased tree structures. Intuitively, the completely left- and right-biased tree structures are equivalent to forward and backward ...
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