نتایج جستجو برای: entity based coherence
تعداد نتایج: 3089785 فیلتر نتایج به سال:
Entity Disambiguation aims to link mentions of ambiguous entities to a knowledge base (e.g., Wikipedia). Modeling topical coherence is crucial for this task based on the assumption that information from the same semantic context tends to belong to the same topic. This paper presents a novel deep semantic relatedness model (DSRM) based on deep neural networks (DNN) and semantic knowledge graphs ...
We propose a computationally efficient graph-based approach for local coherence modeling. We evaluate our system on three tasks: sentence ordering, summary coherence rating and readability assessment. The performance is comparable to entity grid based approaches though these rely on a computationally expensive training phase and face data sparsity problems.
This paper investigates whether the model of local rhetorical coherence suggested in Knott et al. (2001) can boost the performance of the Centering-based metrics of entity coherence employed by Karamanis et al. (2004) for the task of information ordering. Our results indicate that (a) the simplest metric continues to perform better than its competitors even when local rhetorical coherence is ta...
Multiple view points during design phase about entities that are holding data and independent analysis by different organizations lead to different versions of same entity that are structurally incoherent or inconsistent. Hence centralized publishing of minimal definition of entities play useful role in reducing the duplication of effort involved in e-Government projects. E-Government solutions...
We show how the Barzilay and Lapata entitybased coherence algorithm (2008) can be applied to a new, noisy data domain – student essays. We demonstrate that by combining Barzilay and Lapata’s entity-based features with novel features related to grammar errors and word usage, one can greatly improve the performance of automated coherence prediction for student essays for different populations.
Guinaudeau and Strube (2013) introduce a graph based model to compute local entity coherence. We propose a computationally efficient normalization method for these graphs and then evaluate it on three tasks: sentence ordering, summary coherence rating and readability assessment. In all tasks normalization improves the results.
Guinaudeau and Strube (2013) introduce a graph based model to compute local entity coherence. We propose a computationally efficient normalization method for these graphs and then evaluate it on three tasks: sentence ordering, summary coherence rating and readability assessment. In all tasks normalization improves the results.
This paper investigates whether the model of local rhetorical coherence suggested in Knott et al. (2001) can boost the performance of the Centering-based metrics of entity coherence employed by Karamanis et al. (2004) for the task of information ordering. Rhetorical coherence is integrated into the way Centering’s basic data structures are derived from the annotated features of the GNOME corpus...
A matrix representation is introduced for stationary beam-like light fields that allows simultaneous treatment of the orbital angular momentum (OAM) and second-order state spatial coherence. This Coherence-OAM a counterpart 2 x beam Coherence-polarization in Cartesian polarization basis or Coherence-spin (SAM) circular basis. The general properties are discussed then Coherence-SAM-OAM as unifyi...
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