[PDF] Top 20 Learning to Explain Entity Relationships in Knowledge Graphs
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Learning to Explain Entity Relationships in Knowledge Graphs
... Next, we analyze the impact of the feature types. Table 6 shows how performance varies when re- moving one feature type at a time from the full feature set. Relationship type features are the most important, although ... See full document
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Transfer in Deep Reinforcement Learning Using Knowledge Graphs
... implicitly learning a mapping between the games’ state and action ...of knowledge graphs and question- answering pre-training to aid in the problems of partial observability and a combinatorial ... See full document
10
Learning Knowledge Graphs for Question Answering through Conversational Dialog
... the knowledge graphs we produce are targeted, question-specific semantic networks, which could be used in lieu of FrameNet to induce domain-specific dialog models (Chen et ...reinforcement learning ... See full document
11
Meta Relational Learning for Few Shot Link Prediction in Knowledge Graphs
... in knowledge graphs, learns a matching metric based on entity embeddings and local graph structures which also can be regarded as a metric-based ...of learning rapidly by only a few train- ing ... See full document
10
Learning Attention based Embeddings for Relation Prediction in Knowledge Graphs
... We follow a two-step training procedure, i.e., we first train our generalized GAT to encode infor- mation about the graph entities and relations and then train a decoder model like ConvKB (Nguyen et al., 2018) to perform ... See full document
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Yang, Yinchong (2018): Enhancing representation learning with tensor decompositions for knowledge graphs and high dimensional sequence modeling. Dissertation, LMU München: Fakultät für Mathematik, Informatik und Statistik
... The current approaches to model video data are closely re- lated to models for image data. A large majority of these works use deep CNNs to process each frame as image, and aggregate the CNN outputs. (Karpathy et al., ... See full document
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Learning to Update Knowledge Graphs by Reading News
... of entity mentions in the text by the entity embeddings for better alignment of word embedding space and en- tity embedding ...The entity embeddings and relation embeddings are pre-trained using ... See full document
10
Zero Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
... Mart´ın Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Cor- rado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael ... See full document
11
Relation Aware Entity Alignment for Heterogeneous Knowledge Graphs
... deep learning-based approach for many natural language process- ing tasks like semi-supervised node classification [Kipf and Welling, 2017], semantic role labeling [Marcheggiani and Titov, 2017] and neural machine ... See full document
7
KNOWLEDGE INERTIA AND ITS RELATIONSHIPS WITH ORGANIZATIONAL LEARNING AND ORGANIZATIONAL INNOVATION
... past knowledge helps us predict what we will hear next, disambiguate words, resolve pronouns, and make connections between the various things being ...past knowledge of what has happened in some situations ... See full document
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Contextualized ranking of entity types based on knowledge graphs
... each entity type forces the worker to read the type label, thus, reducing spam ...the entity displayed (which was not the goal as clearly explained in the task instructions), while the second task design ... See full document
21
A foundation for machine learning in design
... or knowledge generally can be applied to a wider range of prob- lems for a given domain or complex ...of knowledge related to the design product/process can be derived through the process of ...design ... See full document
18
From Power to Knowledge Relationships: Stakeholder Interactions as Learning Partnerships
... the learning processes that can be shaped outside or across the organisational ...of learning and a space for ...of learning beyond organisational specific issues, it also paves the way for ... See full document
36
Learning Entity Representation for Entity Disambiguation
... ument and entity representations for a fixed simi- larity measure. In fact, the underlying representa- tions for computing similarity measure add inter- nal structure to the given similarity measure. Fea- tures ... See full document
5
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... to explain the acquisition of language, reducing to the bare minimum the role of ...the knowledge accumulated about the mind’s functioning is stimulating psycholinguists to relocate the topic in question to ... See full document
10
Bridge Text and Knowledge by Learning Multi Prototype Entity Mention Embedding
... Entity linking is a core NLP task of identifying the reference entity for mentions in texts. The main difficulty lies in the ambiguity of various en- tities sharing the same mention phrase. Previous work ... See full document
11
Scalable graph based method for individual named entity identification
... atorial optimization problem is NP-hard with re- spect to the number of nodes, since they gener- alize Steiner-tree problem (Hoffart et al., 2011). However heuristics to solve this problem have been experimented: ... See full document
9
Proposition Knowledge Graphs
... Propositional Knowledge Graphs (PKG), a representation which addresses both of Open IE’s mentioned ...background knowledge – by applying methods such as textual entailment recognition (Dagan et ... See full document
6
I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs
... on UCF101 dataset. We also get comparable results on HMDB51 and Olympic Sports benchmark. Compared with another method, Objects2Action,which also adopts objects with semantic embeddings for ZSAR, the proposed TS- GCN ... See full document
9
A new accounting data model
... Aims for New Accounting Systems Entity Sets for Wilson Company Accountability Relationships for Wilson Company Stock-Flow Relationships for Wilson Company Duality Relationships for Wilso[r] ... See full document
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