[PDF] Top 20 The Weltmodell: A Data-Driven Commonsense Knowledge Base

... We base our knowledge acquisition effort on the Syntactic N -Grams dataset (Goldberg and Orwant, 2013). It was ex- tracted from corpus of 3.5 million digitized English Google Books (Michel et al., 2011) and ... See full document

... interpreting data or devel- oping experimental strategies. Molecular data are typically gene centric in these databases, that is, each gene has its own page of ...SNP data are summarized for a gene ... See full document

... for commonsense knowledge base completion using the world knowledge of pre-trained language mod- ...not commonsense and to gen- erating new commonsense knowledge outside ... See full document

... monsense knowledge for image ...lated commonsense knowledge and retrieves im- ages based on their visual and textual ...and commonsense modalities we make search results more appealing to the ... See full document

... comprehension data sets that require commonsense inference are based on news ...During data collection, full texts were not shown to workers as a basis for question formulation, but only the text’s ... See full document

... Other previous work shares the intuition that the submission of Web search queries is influenced by, and indicative of, various relations. Relations are loosely defined, either by approximating them via distributional ... See full document

... We observe that the proposed distance metric is correlated with human assigned novelty scores (from Sec. 3.4). On the considered datasets Pear- son correlation between automatic novelty score and human assigned novelty ... See full document

... The realization of CAPP development platform design on object-oriented information model-driven is the guarantee to the universal, maintenance, expansion of CAPP system, CAPP system can running in uniform ... See full document

... a commonsense machine comprehension task, has attached many researchers’ attention due to its significant difference from previous machine comprehension ...implicit commonsense knowl- edge, rather than ... See full document

... network-based models are used. DSSM simply used a deep structured semantic model to learn representations for both bodies and endings only achieved an accuracy of 58.5%. Uti- lizing Cai improved neural model performance ... See full document

... For knowledge acquisition, it is well-known that one can attempt to induce patterns based on matches of seed facts, and then use pattern matches to mine new ...Web-scale data (Tandon et ...at ... See full document

... Main Result The experimental results of the baselines and our proposed model on SemEval dataset are reported in Table 1. First, it is observed that SVM 26 performs better than CNN 24 and LSTM 25 , since SVM trains a ... See full document

... ing commonsense questions, which effec- tively utilizes external, structured common- sense knowledge graphs to perform explain- able ...the knowledge-based symbolic space as a schema graph, a related ... See full document

... First, we prepared triple candidates by using the ConceptNet and Ja-KB datasets. We replaced one of the phrases of the existing triple with a simi- lar phrase, where the similarity was calculated by using the average of ... See full document

... Training Comparison. Table 3 shows the re- sults of our models with the two loss functions and three sampling strategies. We find that the binary cross entropy loss with random sampling performs best across models. We ... See full document

... of commonsense knowledge, such as the intents and emotions of the event participants, which are useful for distinguish- ing event pairs when there are only subtle dif- ferences in their surface ...external ... See full document

... of knowledge acquisition from humans because they have a large number of ...acquired knowledge is useful for de- veloping sophisticated dialogue systems and attracting more ...more knowledge from ... See full document

... While data mining products can be very powerful tools, they are not self-sufficient ...successful, data mining requires skilled technical and analytical specialists who can structure the analysis and ... See full document

... Data in a HUMBLE knowledge base (this part of a knowledge base is often called the fact base), as well as rules, can have certainty factors attached to them, to indicate that [r] ... See full document

... of commonsense, most readers would find no difficulty in a reading for (1a) that implies John’s support for the ‘same’ activist in every ...our commonsense knowledge of how the world (the possible ... See full document