Relations for Bottom-Most Entity Types
Exploiting Linked Open Data to Uncover Entity Types
... ganisation entity trigger words; “IS LOCKEY”:true if current word is matched with an item in location entity trigger words; “IS COUNTRY”: true if current word is country entity; “IS COUNTRYADJ”:true ...
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Exploiting linked open data to uncover entity types
... ganisation entity trigger words; “IS LOCKEY”:true if current word is matched with an item in location entity trigger words; “IS COUNTRY”: true if current word is country entity; “IS COUNTRYADJ”:true ...
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Framing Named Entity Linking Error Types
... Table 1: Examples of the most common errors detected in the three gold standards investigated in this paper. The entries that have gold links were marked as wrong-link and the others as extra in TAC-KBP primary ...
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Classifying Relations for Biomedical Named Entity Disambiguation
... an entity mention and its surrounding context, a machine learning model classifies the entity into one of the classes, where each class corresponds to a species ...following types of features were ...
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Acquisition of Named-Entity-Related Relations for Searching
... We call our new algorithm NECOE which stands for “Named Entity Category Object Extraction”. 5. Utilizing quadruples for semantic search The extracted 〈ne, category, related-to, object〉 quadruples are valuable for ...
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Determining the Types of Temporal Relations in Discourse
... An example of the applications of temporal information in the NLP task of question answering follows. A system may be asked “When was the current president of the USA elected?”. Typically in question answering scenarios, ...
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Named Entity Recognition for Novel Types by Transfer Learning
... Figure 2: Difficulty of Transfer. The source model is trained on BBN . units computed by W s x on a random sample of tar- get training examples before training on the target corpora. Most values are either highly ...
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Contextualized ranking of entity types based on knowledge graphs
... single entity type to a user browsing the ...the entity; without much context, the worker is prone to subjective interpretation of the entity, that is, he/she associates to the entity the type ...
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Using Entity Features to Classify Implicit Discourse Relations
... discourse relations between ad- jacent sentences in ...discourse relations and properties of the referring expressions that appear in the re- lated ...the most discriminative features conform with ...
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Which Types of Aid Have the Most Impact?
... The bottom part of Table 3 shows the total impact of the aid variables on each ...each types of aid show how increases in one type of aid affect the other types of ...
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Public Relations: Core Principles and Strategies that Contribute to the Bottom Line
... PUBLIC RELATIONS PRACTICES Remain true to your core ...single most important step for any public relations professional and organization to be successful is to remain true to itself and to its ...
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Entity Linking via Joint Encoding of Types, Descriptions, and Context
... missing linked data, and the use of entity embed- dings for related tasks such as type prediction. There are a number of avenues for future work. Further research will include encoding more struc- tured knowledge ...
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FUZZY BINARY RELATIONS AND ITS SPECIAL TYPES
... binary relations generalize the concept of fuzzy sets to multidimensional universes and introduction the Notation of association between the elements of some universe of ...binary relations generalize the ...
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Bottom up Named Entity Recognition using Two stage Machine Learning Method
... Japanese bottom-up named entity recognition using a two- stage machine learning ...method. Most work has formalized Named Entity Recog- nition as a sequential labeling problem, in which only ...
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Unsupervised Coreference Resolution by Utilizing the Most Informative Relations
... the most precise relation that exist between the ...precise relations if more precise ones are ...of relations can be determined based on our linguistic ...
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Exploring Entity Relations for Named Entity Disambiguation
... Named entity disambiguation is the task of linking an entity mention in a text to the cor- rect real-world referent predefined in a knowl- edge base, and is a crucial subtask in many areas like information ...
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One of the most important types
... mechanism to the control circuit contacts (fig. 60). Features: When properly installed, these types of switches are ideal for most hinged guard doors where there is access to the hinge center line. They can ...
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Foreign Entity Types with No Domestic Law. Jurisdiction. Date: May 14, [Foreign Entity Types with No Domestic Law] [ ]
... the entity type provide them information if they need to register with another state ...an entity type that we do not ...an entity type not permitted in Ohio is to file a trade name or fictitious ...
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Joint Bootstrapping of Corpus Annotations and Entity Types
... assigning types to entities in Freebase but not ...the types of unfamiliar entities helps disambiguate mentions, and words in mention contexts help assign types to ...or entity resolution, but ...
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Incremental Joint Extraction of Entity Mentions and Relations
... Troy, NY 12180, USA {liq7,jih}@rpi.edu Abstract We present an incremental joint frame- work to simultaneously extract entity men- tions and relations using structured per- ceptron with efficient ...
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