[PDF] Top 20 Knowledge Based Open Entity Matching

... an entity (x, y) of an unspecified domain D that x is an event, that y is an event and that x and y have the same causes and ...an entity is part of a class, we need to define the class, and defining the ... See full document

... at matching entities that have different facts in two ...topic entity graph to repre- sent the contextual information of an entity within the KG and view this task as a graph matching ...graph ... See full document

... TREC-style open-domain question answering in this work, we would like to apply the pro- posed technology to other QA scenarios, such as community-based QA ...sentence matching technique can help map ... See full document

... Abstract. Knowledge bases are in widespread use for aiding tasks such as information extraction and information retrieval, for example in Web ...However, knowledge bases are known to be inherently ... See full document

... In CR, radios opportunistically look for holes (non-used spectrum gaps) in the licensed spectrum, which can subse- quently be exploited for setting up a communication link. However, the approach described previously ... See full document

... strict entity matching and model the se- mantic relatedness between distinct entities through the use of world ...world knowledge into two existing frame- works: (1) the unsupervised ... See full document

... an open representation paradigm, our proposal fol- lows and extends the Open Information Extrac- tion (OIE) ...larly, entity coreference links are used to establish reference to real-world ...an ... See full document

... common knowledge between human and computers, different kinds of knowledge bases ( ...of knowledge bases is question answering, where the given ques- tions are first analyzed, followed by retrieving ... See full document

... of entity linking aims to identify con- cepts mentioned in a text fragments and link them to a reference knowledge ...base. Entity linking in long text has been well studied in previous ...text ... See full document

... the entity type. However, an entity is usually not associated to a single generic type in the background knowledge graph but rather to a set of more specific types, which may be relevant or not given ... See full document

... texts for the mention detection and aims on-the- fly annotation of short texts using agreement ap- proach based on Wikipedia link structure. More- over, these approaches focus on global coherence approaches that ... See full document

... the entity matching problem, in most real us- age scenarios, annotating a comprehensive gold stan- dard (such as those of FEIII and DOREMUS) is an extremely time consuming endeavour and the user is able to ... See full document

... Profile matching refers to 2 users comparison their personal ...profile matching while not revealing any data regarding their profiles on the far side the comparison result,Making new connections consistent ... See full document

... change) based on inputs of triples from the CAMEO ontology (Gerner et ...of open information extraction, 8 where no element of a triple need be normalized; for example, the given sentence (The ... See full document

... These results are not consistent with the findings of Brust and co-workers [16]. However, it should be pointed out that their study used asymmetric quality in conjunc- tion with mixed spatial-resolution stereoscopic ... See full document

... A. Similarity Methods. The first category contains methods operating on entities that are either atomic string values or a set of string values. Here, we have various basic similarity techniques (see surveys [9] and ... See full document

... real entity names. Many research appli- cations rely on identifying entity names in text, but people often refer to entities with unexpected nicknames and ...to knowledge base entries, like a ... See full document

... stereo matching was conducted by Scharstein and Szeliski ...stereo matching approaches, belief propagation [18] and graph cut [19], can produce high- quality disparity maps but require very high computa- ... See full document

... that knowledge- based and data-driven approaches remain equally competitive on NER tasks as shown by numerous evaluation ...that knowledge-based approaches outperformed data- driven ones on ... See full document

... monsense knowledge or long range ...model entity spans in the input text and use an entity linker to retrieve relevant entity embeddings from a KB to form knowledge enhanced ... See full document