[PDF] Top 20 Commonsense Knowledge Base Completion and Generation
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Commonsense Knowledge Base Completion and Generation
... For the experiments with English, we used the ConceptNet 100K data released by Li et al. (2016b) 1 . The original ConceptNet is a large- scale and multi-lingual CKB. However, the evalu- ation set, which was created from ... See full document
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
... Commonsense knowledge base completion Existing work on generation of novel common- sense knowledge has also used ConceptNet and A TOMIC as underlying ...for completion and ... See full document
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Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion
... of commonsense is vital to understanding languages in a wide range of tasks such as recognizing textual entailment (LoBue and Yates, ...organize commonsense in logical ...represent knowledge, which ... See full document
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Story Ending Generation with Incremental Encoding and Commonsense Knowledge
... a knowledge base with some pre-specified semantic ...story generation has been widely stud- ied with sequence-to-sequence (seq2seq) learning (Roem- mele ...keywords. Commonsense ... See full document
8
Incorporating Structured Commonsense Knowledge in Story Completion
... roles commonsense knowledge plays in our ...the knowledge graph in Concept- Net, shown in Figure 4, there exists many relations between the correct ending and the story ...the commonsense ... See full document
8
Enhancing Topic to Essay Generation with External Commonsense Knowledge
... topic-to-essay generation. The proposed model in- tegrates commonsense from the external knowl- edge base into the generator through a dynamic memory mechanism to enrich the source informa- ... See full document
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Commonsense Knowledge Mining from Pretrained Models
... for commonsense knowledge base completion (Li et ...edge base, evaluating the model’s performance on a held-out test set from the same ...sense knowledge, to train and validate ... See full document
6
The Weltmodell: A Data-Driven Commonsense Knowledge Base
... observed. An example of this is the statement “[ ] may have [wing]”, which is observed for many different birds, but not the concept “owl”. However, the W ELTMODELL contains enough information to infer such statements, ... See full document
5
CODAH: An Adversarially Authored Question Answering Dataset for Common Sense
... on commonsense knowledge ...tests commonsense knowledge using sentence-completion ques- tions that describe situations observed in ... See full document
7
Automatically Deriving Event Ontologies for a CommonSense Knowledge Base
... After this first iteration, we will have introduced a new set of word senses, both verbs and non verbs, that have not yet been defined. So we then iterate using the same procedure on this new set of words to define them. ... See full document
11
Commonsense Knowledge Base Completion
... of commonsense re- sources by formulating the problem as one of knowledge base ...curated commonsense resource called Con- ceptNet (Speer and Havasi, ...edge base completion so ... See full document
11
Commonsense mining as knowledge base completion? A study on the impact of novelty
... genuine commonsense inference and ...for commonsense mining because of the diversity of the entities, relations, and linguistic expressions thereof in current ... See full document
9
LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
... The current state-of-the-art embedding models include, to the best of our knowledge, ProjE (Shi and Weninger 2017), DistMult (Yang et al. 2014), Ensemble DistMult (Kadlec, Ba- jgar, and Kleindienst 2017), ComplEx ... See full document
8
Improving Neural Knowledge Base Completion with Cross Lingual Projections
... In this paper we present a cross-lingual ex- tension of a neural tensor network model for knowledge base completion. We ex- ploit multilingual synsets from BabelNet to translate English triples to ... See full document
7
WebChild 2 0 : Fine Grained Commonsense Knowledge Distillation
... commonsense knowledge. This goal poses challenges because commonsense knowl- edge is: (i) implicit and sparse, as humans tend not to explicitly express the obvious, (ii) multi- modal, as it is spread ... See full document
6
Reasoning Over Paths via Knowledge Base Completion
... our knowledge this is the first paper that is focused on trying to use path ranking to identify relevant enti- ties bridging a pair of known entities and therefore not directly comparable with other ... See full document
8
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
... for knowledge base completion, with progressive im- provement from the initial TransE, TransH, DistMult et al to the current state-of-the-art ...utilizes knowledge graph node structure, node ... See full document
8
Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
... KB completion. A separate line of research into KB completion can be broadly construed as performing some kind of inference over graphs in order to predict missing instances in a knowledge ... See full document
11
Modeling Large Scale Structured Relationships with Shared Memory for Knowledge Base Completion
... To understand what the model has learned in the shared memory in the KBC tasks, in Table 5, we visualize the shared memory in an IRN trained from FB15k. We compute the average attention scores of each relation type on ... See full document
12
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
... A knowledge base G is a collection of valid fac- tual triples in the form of (head entity, relation, tail entity) denoted as (h, r, t) such that h, t ∈ E and r ∈ R where E is a set of entities and R is a ... See full document
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