[PDF] Top 20 Graph based Local Coherence Modeling
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Graph based Local Coherence Modeling
... about local coher- ence, ...models local coherence rather generally and has been applied to the generation of refer- ring expressions (Kibble and Power, 2004), to re- solve pronouns (Brennan et ...a ... See full document
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Topic Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information
... highest coherence probabil- ity (Vinyals et ...para- graph based on the pointer network (Vinyals et ...network based decoder fetches the paragraph vec- tor and iteratively outputs sentences in ... See full document
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Lexical Coherence Graph Modeling Using Word Embeddings
... a coherence model is readability ...texts based on their ...Other coherence models (Barzi- lay and Lapata, 2008; Guinaudeau and Strube, 2013; Mesgar and Strube, 2014) are also evaluated on this ... See full document
10
An Empirical Investigation of Structured Output Modeling for Graph based Neural Dependency Parsing
... Table 1 summarizes the methods (normalization and loss function) that we investigate in our ex- periments. For global models, we consider both Projective (Proj) and Non-Projective (NProj) con- straints. Specific ... See full document
7
Evaluating text coherence based on semantic similarity graph
... The Entity Grid model focused on the evaluation of local cohesion developed on top of the Cen- tering theory (Barzilay and Lapata, 2008). The key idea of the Centering theory is that the dis- tribution of entities ... See full document
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Normalized Entity Graph for Computing Local Coherence
... a graph based model (henceforth called entity graph) to compute local entity ...entity graph performs on par with Barzilay and Lapata’s (2005; 2008) supervised en- tity grid on the ... See full document
5
A Unified Local and Global Model for Discourse Coherence
... language modeling. It also uses a model of lexical generation based on the IBM-1 model for machine translation, which produces all words in the document conditioned on words from previous sen- ... See full document
8
Encoding World Knowledge in the Evaluation of Local Coherence
... text coherence, we go beyond strict entity matching and model the se- mantic relatedness between distinct entities through the use of world ...unsupervised graph-based model (G&S), and (2) the ... See full document
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Modeling coherence in ESOL learner texts
... entity-based coherence model, proposed by Barzilay and Lapata (2008), is one of the most pop- ular statistical models of inter-sentential coherence, and learns coherence properties similar to ... See full document
11
Modeling Local Coherence: An Entity Based Approach
... Our study of alternative encodings is not a mere duplication of previous ef- forts (Poesio et al. 2004) that focus on linguistic aspects of parameterization. Because we are interested in an automatically constructed ... See full document
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Modeling Local Coherence: An Entity Based Approach
... the coherence assessment task, since they focus on content similar- ity between system output and reference ...was based on materi- als from the Document Understanding Conference (DUC, 2003), which include ... See full document
8
The Transaction Graph for Modeling Blockchain Semantics
... proper modeling of the mining of new coins, the overall amount of bitcoins must remain ...transaction graph or TDAG for short, a directed acyclic graph that models the transactions occurring on a ... See full document
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Automatically Evaluating Text Coherence Using Discourse Relations
... Barzilay and Lapata (2005) showed that their entity- based model is able to distinguish a source text from its permutation accurately. Thus, it can serve as a good comparison point for our discourse relation- ... See full document
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CLASSIFICATIONS, ASSESSMENTS AND CHARACTERISTICS AS FACTORS TOWARDS ANALYZING ORGANIZATIONAL KNOWLEDGE
... representation based on the ROLE involved in the ...role- based realization graph is to determine the level of confidence factor together with the complexity of data that might attach in a set of sub ... See full document
16
Nested Graph Representation for Visual SLAM based on Local and Global Feature Processing
... simple graph as a map ...the graph is recognized as the current location of the ...systems based on landmarks rely on either artificial or natural landmarks to represent the environment and try to ... See full document
8
Mining Hot-Personae Approach Based on Local Social Microblog Graph
... Each hierarchical structure construction represents a user profile and a lower level indicates higher relevancy with the user. Liu et al. [23] proposed keyword‐based method to mine the microbloggersʹ interests ... See full document
16
Multi Task Learning for Coherence Modeling
... discourse coherence that takes advantage of inductive transfer between two tasks: predicting the GR type of words at the bottom lay- ers of the network and predicting a document-level coherence score at the ... See full document
11
Keyword Query Routing
... relationship graph [9] and apply routing plans over the obtained ...relationship graph. It propose a novel method for computing top-k routing plans based on their potentials to contain results for a ... See full document
7
Methods for Fault Detection, Diagnostics, and Prognostics for Building Systems A Review, Part II
... Sreedharan and Haves (2001) compared three chiller models for their ability to reproduce the observed performance of a centrifugal chiller. Although the evaluation was meant to find the most suitable model for chiller ... See full document
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