Xem 1-20 trên 313 kết quả Relational features
  • Oracle Database Application Developer's Guide - Object-Relational Features describes how to use the object-relational features of the Oracle Server, 10g Release 1 (10.1). Information in this guide applies to versions of the Oracle Server that run on all platforms, and does not include system-specific information. Oracle Database Application Developer's Guide - Object-Relational Features is intended for programmers developing new applications or converting existing applications to run in the Oracle environment.

    pdf252p vitconxinhdep 30-07-2009 148 56   Download

  • Unification is often the appropriate method for expressing relations between representations in the form of feature structures; however, there are circumstances in which a different approach is desirable. A declarative formalism is presented which permits direct mappings of one feature structure into another, and illustrative examples are given of its application to areas of current interest.

    pdf6p buncha_1 08-05-2013 14 2   Download

  • We explore how features based on syntactic dependency relations can be utilized to improve performance on opinion mining. Using a transformation of dependency relation triples, we convert them into “composite back-off features” that generalize better than the regular lexicalized dependency relation features. Experiments comparing our approach with several other approaches that generalize dependency features or ngrams demonstrate the utility of composite back-off features.

    pdf4p hongphan_1 15-04-2013 14 1   Download

  • This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related features and a convolution parse tree kernel that models syntactic information of relation examples. The motivation of our method is to fully utilize the nice properties of kernel methods to explore diverse knowledge for relation extraction.

    pdf8p hongvang_1 16-04-2013 18 1   Download

  • Oracle Database 11g contains several major innovations in the areas of change management, fault diagnosability, performance management, Data Guard administration, storage management, and data warehousing, among other areas. Besides the database administration changes, there are significant improvements in application development–related features, including natively compiled PL/SQL code, PL/SQL inlining, and enhanced triggers.

    pdf632p nghianguyenluong 30-06-2009 263 132   Download

  • Oracle object technology is a layer of abstraction built on Oracle relational technology. New object types can be created from any built-in database types and any previously created object types, object references, and collection types. Metadata for user-defined types is stored in a schema that is available to SQL, PL/SQL, Java, and other published interfaces

    pdf252p daokim 03-08-2009 82 9   Download

  • Sentiment analysis of citations in scientific papers and articles is a new and interesting problem due to the many linguistic differences between scientific texts and other genres. In this paper, we focus on the problem of automatic identification of positive and negative sentiment polarity in citations to scientific papers. Using a newly constructed annotated citation sentiment corpus, we explore the effectiveness of existing and novel features, including n-grams, specialised science-specific lexical features, dependency relations, sentence splitting and negation features. ...

    pdf7p hongdo_1 12-04-2013 24 6   Download

  • Bone Marrow The bone marrow is usually normal or hypercellular, but in 20% of cases it is sufficiently hypocellular to be confused with aplasia. No single characteristic feature of marrow morphology distinguishes MDS, but the following are commonly observed: dyserythropoietic changes (especially nuclear abnormalities) and ringed sideroblasts in the erythroid lineage; hypogranulation and hyposegmentation in granulocytic precursors, with an increase in myeloblasts; and megakaryocytes showing reduced numbers or disorganized nuclei.

    pdf4p thanhongan 07-12-2010 31 4   Download

  • Harrison's Internal Medicine Chapter 102. Aplastic Anemia, Myelodysplasia, and Related Bone Marrow Failure Syndromes Aplastic Anemia, Myelodysplasia, and Related Bone Marrow Failure Syndromes: Introduction The hypoproliferative anemias are normochromic, normocytic or macrocytic and are characterized by a low reticulocyte count. Deficient production of RBCs occurs with marrow damage and dysfunction, which may be secondary to infection, inflammation, and cancer.

    pdf5p thanhongan 07-12-2010 34 3   Download

  • We address the problem of part-of-speech tagging for English data from the popular microblogging service Twitter. We develop a tagset, annotate data, develop features, and report tagging results nearing 90% accuracy. The data and tools have been made available to the research community with the goal of enabling richer text analysis of Twitter and related social media data sets.

    pdf6p hongdo_1 12-04-2013 20 3   Download

  • We present a series of experiments on automatically identifying the sense of implicit discourse relations, i.e. relations that are not marked with a discourse connective such as “but” or “because”. We work with a corpus of implicit relations present in newspaper text and report results on a test set that is representative of the naturally occurring distribution of senses. We use several linguistically informed features, including polarity tags, Levin verb classes, length of verb phrases, modality, context, and lexical features. ...

    pdf9p hongphan_1 14-04-2013 15 3   Download

  • We introduce a typed feature logic system providing both universal implicational principles as well as definite clauses over feature terms. We show that such an architecture supports a modular encoding of linguistic theories and allows for a compact representation using underspecification. The system is fully implemented and has been used as a workbench to develop and test large HPSG grammars. The techniques described in this paper are not restricted to a specific implementation, but could be added to many current feature-based grammar development systems.

    pdf8p bunthai_1 06-05-2013 16 3   Download

  • Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our proposed method is motivated by the observation that the more frequently two words cooccur in user records, the more related they are. First, we utilize user behaviors to generate candidate words. Then, we utilize search engine to enrich candidate words with adequate semantic features.

    pdf6p hongdo_1 12-04-2013 18 2   Download

  • We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based features. We also propose several statistical methods for selecting clusters at an appropriate level of granularity. When training on different sizes of data, our semi-supervised approach consistently outperformed a state-of-the-art supervised baseline system.

    pdf9p hongdo_1 12-04-2013 16 2   Download

  • This paper focuses on identifying, extracting and evaluating features related to syntactic complexity of spontaneous spoken responses as part of an effort to expand the current feature set of an automated speech scoring system in order to cover additional aspects considered important in the construct of communicative competence.

    pdf10p hongdo_1 12-04-2013 15 2   Download

  • Modern models of relation extraction for tasks like ACE are based on supervised learning of relations from small hand-labeled corpora. We investigate an alternative paradigm that does not require labeled corpora, avoiding the domain dependence of ACEstyle algorithms, and allowing the use of corpora of any size. Our experiments use Freebase, a large semantic database of several thousand relations, to provide distant supervision.

    pdf9p hongphan_1 14-04-2013 14 2   Download

  • This paper describes a novel event-matching strategy using features obtained from the transitive closure of dependency relations. The method yields a model capable of matching events with an F-measure of 66.5%. training and test instance in a feature space. Conceptually, our features are of three different varieties. This section describes the first two kinds, which we call “low-level” features, in that they attempt to capture how much of the basic information of an event e is present in a sentence s. 2.1 Lexical features ...

    pdf4p hongphan_1 15-04-2013 16 2   Download

  • Finding temporal and causal relations is crucial to understanding the semantic structure of a text. Since existing corpora provide no parallel temporal and causal annotations, we annotated 1000 conjoined event pairs, achieving inter-annotator agreement of 81.2% on temporal relations and 77.8% on causal relations. We trained machine learning models using features derived from WordNet and the Google N-gram corpus, and they outperformed a variety of baselines, achieving an F-measure of 49.0 for temporals and 52.4 for causals. ...

    pdf4p hongphan_1 15-04-2013 14 2   Download

  • Prior approaches to sentence compression have taken low level syntactic constraints into account in order to maintain grammaticality. We propose and successfully evaluate a more comprehensive, generalizable feature set that takes syntactic and structural relationships into account in order to sustain variable compression rates while making compressed sentences more coherent, grammatical and readable.

    pdf4p hongphan_1 15-04-2013 15 2   Download

  • This paper describes a fully automatic twostage machine learning architecture that learns temporal relations between pairs of events. The first stage learns the temporal attributes of single event descriptions, such as tense, grammatical aspect, and aspectual class. These imperfect guesses, combined with other linguistic features, are then used in a second stage to classify the temporal relationship between two events. We present both an analysis of our new features and results on the TimeBank Corpus that is 3% higher than previous work that used perfect human tagged features. ...

    pdf4p hongvang_1 16-04-2013 16 2   Download

Đồng bộ tài khoản