Structured positional entity language model for enterprise entity retrieval

Author(s):  
Chunliang Lu ◽  
Lidong Bing ◽  
Wai Lam
2012 ◽  
Vol 3 (1) ◽  
pp. 64-77
Author(s):  
Peng Jiang ◽  
Qing Yang ◽  
Chunxia Zhang ◽  
Zhendong Niu ◽  
Hongping Fu

As the Web is becoming the largest knowledge repository which contains various entities and their relations, the task of related entity retrieval excites interest in the field of information retrieval. This challenging task is introduced in TREC 2009 Entity Track. In this task, given an entity and the type of the target entity, a retrieval system is required to return a ranked list of related entities extracted from a given large corpus. It means that entity ranking goes beyond entity relevance and integrates the judgment of relation into the evaluation of the retrieved entities. This paper proposes a probability model using relation patterns to address the task of related entity retrieval. This model takes into account both relevance and relation between entities. The authors focus on using relation patterns to measure the level of relations matching between entities, and then to estimate the probability of occurrence of relation between two entities. In addition, the authors represent entity by its context language model and measure the relevance between two entities by a language model. Experimental results on TREC Entity Track dataset show that the proposed model significantly improves retrieval performances over baseline. The comparison with other approaches also reveals the effectiveness of the model.


Author(s):  
Larisa V. Kalashnikova

The article enlightens the probem of nonsense and its role in the development of creative thinking and fantasy, and the way how the interpretation of nonsense affects children imagination. The function of imagination inherent to a person, and especially to a child, has a powerful potential – to create artificially new metaphorical models, absurd and most incredible situations based on self-amazement. Children are able to measure the properties of unfamiliar objects with the properties of known things. It is not difficult for small researchers to replace incomprehensible meanings with familiar ones; to think over situations, to make analogies, to transfer signs and properties of one object to another. The problem of nonsense research is interesting and relevant. The element of the game is an integral component of nonsense. In the process of playing, children cognize the world, learn to interact with the world, imitating the adults behavior. Imagination and fantasy help the child to invent his own rules of the game, to choose language elements that best suit his ideas. The child uses the learned productive models of the language system to create their own models and their own language, attracting language signs: words, morphs, sentences. Children’s dictionary stimulates word formation and language nomination processes. Nonsense-words are the result of children’s dictionary, speech errors and occazional formations, presented in the form of contamination, phonetic transformations, lexical substitution, implemented on certain models. The first two models are phonetic imitation and hybrid speech, based on the natural language model. The third model of designing nonsense is represented by words that have no meaning at all and can be attributed to words-portmonaie. Due to the flexibility of interframe relationships and the lack of algorithmic thinking, children can not only capture the implicit similarity of objects and phenomena, but also create it through their imagination. Interpretation of nonsense is an effective method of developing imagination in children, because metaphors, nonsense as a means of creating new meanings, modeling new content from fragments of one’s own experience, are a powerful incentive for creative thinking.


2015 ◽  
Author(s):  
Han Xu ◽  
Eric Martin ◽  
Ashesh Mahidadia
Keyword(s):  

1997 ◽  
Author(s):  
Ciprian Chelba ◽  
David Engle ◽  
Harry Printz ◽  
Frederick Jelinek ◽  
Eric Ristad ◽  
...  

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