Implicit knowledge

Xem 1-12 trên 12 kết quả Implicit knowledge
  • Learning by Reading (LbR) aims at enabling machines to acquire knowledge from and reason about textual input. This requires knowledge about the domain structure (such as entities, classes, and actions) in order to do inference. We present a method to infer this implicit knowledge from unlabeled text. Unlike previous approaches, we use automatically extracted classes with a probability distribution over entities to allow for context-sensitive labeling.

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  • .International Review of Industrial and Organizational Psychology 2003 Volume 18 International Review of Industrial and Organizational Psychology 2003, Volume 18 Edited by Cary L. Cooper and Ivan T. Robertson Copyright  2003 John Wiley & Sons, Ltd. ISBN: 0-470-84703-4 .International Review of Industrial and Organizational Psychology 2003 Volume 18 Edited by Cary L. Cooper and Ivan T. Robertson University of Manchester Institute of Science & Technology, UMIST, UK .

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  • In the past years, a number of lexical association measures have been studied to help extract new scientific terminology or general-language collocations. The implicit assumption of this research was that newly designed term measures involving more sophisticated statistical criteria would outperform simple counts of cooccurrence frequencies. We here explicitly test this assumption.

    pdf8p hongvang_1 16-04-2013 25 1   Download

  • Answer Validation is an emerging topic in Question Answering, where open domain systems are often required to rank huge amounts of candidate answers. We present a novel approach to answer validation based on the intuition that the amount of implicit knowledge which connects an answer to a question can be quantitatively estimated by exploiting the redundancy of Web information. Experiments carried out on the TREC-2001 judged-answer collection show that the approach achieves a high level of performance (i.e. 81% success rate).

    pdf8p bunmoc_1 20-04-2013 19 1   Download

  • Lecture Mathematics 53 - Lecture 2.3 provide to students the following knowledge: Higher order derivatives, implicit differentiation, local linear approximation and differentials. For more infomation, inviting you refer lecture 2.3.

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  • The overlap between regulations on germ-line genetic intervention and reproductive cloning is refl ected in Opinion 54 of The French National Consultative Ethics Committee in 199717 where it cited Art.16-4 of the civil code, which prohibits genetic modifi cation of descendants as an implicit ban on reproductive cloning. Another example is the Law on Healthcare in Georgia18 , which states ‘Human cloning through the use of genetic engineering methods shall be prohibited’.

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  • However, even teachers who eschew implicit language analysis for their students— that is, those who favor teaching communication by having students communicate with no focus on form whatsoever—would be well served by their having a working knowledge of grammar.

    pdf7p kathy213 17-09-2010 42 3   Download

  • We describe two projects that explore this territory of easy-to-use domain-oriented tools that help naïve users design three-dimensional models. Using the Furniture Factory users sketch, model, and produce a class of furniture models. The Designosaur enables its users to make models of dinosaurs, both real and imaginary. Both projects enable users to begin by sketching a design and both employ a laser cutter as the output medium, to cut model materials from flat material such as wood or plastic sheets.

    pdf28p connhobinh 09-12-2012 26 2   Download

  • To acquire noun phrases from running texts is useful for many applications, such as word grouping, terminology indexing, etc. The reported literatures adopt pure probabilistic approach, or pure rule-based noun phrases grammar to tackle this problem. In this paper, we apply a probabilistic chunker to deciding the implicit boundaries of constituents and utilize the linguistic knowledge to extract the noun phrases by a finite state mechanism.

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  • Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires “reading between the lines”. Human readers naturally use common sense knowledge to infer such implicit information from the explicitly stated facts.

    pdf10p nghetay_1 07-04-2013 25 1   Download

  • This paper presents a plan-based model that handles negotiation subdialogues by inferring both the communicative actions that people pursue when speaking and the beliefs underlying these actions. We contend that recognizing the complex discourse actions pursued in negotiation subdialogues (e.g., expressing doubt) requires both a multistrength belief model and a process model that combines different knowledge sources in a unified framework.

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  • Roberto Navigli Dipartimento di Informatica Sapienza - Universit` di Roma a Via Salaria, 113 - 00198 Roma Italy Abstract We present a novel graph-based algorithm for the automated disambiguation of glosses in lexical knowledge resources. A dictionary graph is built starting from senses (vertices) and explicit or implicit relations in the dictionary (edges). The approach is based on the identification of edge sequences which constitute cycles in the dictionary graph (possibly with one edge reversed) and relate a source to a target word sense.

    pdf9p bunthai_1 06-05-2013 18 1   Download


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