1,721,058 research outputs found

    Coping With Implicit Arguments And Events Coreference

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    In this paper we present ongoing work for the creation of a linguistically-based system for event coreference. We assume that this task requires deep understanding of text and that statistically-based methods, both supervised and unsupervised are inadequate. The reason for this choice is due to the fact that event coreference can only take place whenever argumenthood is properly computed. It is a fact that in many cases, arguments of predicates are implicit and thus linguistically unexpressed. This prevents training to produce sensible results. We also assume that spatiotemporal locations need to be taken into account and this is also very often left implicit. We used GETARUNS system to develop the coreference system which works on the basis of the discourse model and the automatically annotated markables. We present data from the analysis, both on unexpressed implicit arguments and the description of the coreference algorithm

    Controlled language for multilingual machine translation

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    In this paper, we present an overview of the issues in designing a controlled language, the implementation of a controlled language checker, and the deployment of KANT Con-trolled English for multilingual machine translation. We also discuss some success criteria for introducing controlled language. Finally, future vision of KANT controlled language development is discussed.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    A Real-Time Mt System For Translating Broadcast Captions

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    This presentation demonstrates a new multi-engine machine translation system, which combines knowledge-based and example-based machine translation strategies for realtime translation of business news captions from English to German. 1. Introduction Broadcast captioning is derived from a textual transcription of a television broadcast, and is typically prouduced in real-time by a human operator using a stenography machine. The ASCII transcription is then encoded and transmitted in the vertical blanking interval (VBI) portion of the video signal. Some broadcasts (such as entertainment shows in syndication), are captioned off-line, but many shows of interest (such as "headline news" programs) are always captioned in real-time, with only a few seconds delay between the audio signal and the transcribed captions. Real-time translation of broadcast captioning poses several challenges for machine translation. The vocabulary and grammar of the source text are uncontrolled. It is not feasible t..

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

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    An Efficient Interlingua Translation System for Multi-lingual Document Production

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    Knowledge-based interlingual machine translation systems produce semantically accurate translations, but typically require massive knowledge acquisition. This paper describes KANT, a system that reduces this requirement to produce practical, scalable, and accurate KBMT applications. First, the set of requirements is discussed, then the full KANT architecture is illustrated, and finally results from a fully implemented prototype are presented. 1 Introduction Knowledge-based machine translation holds great promise for the development of accurate, high-quality translation systems. However, it has been our experience that constructing large-scale knowledge-based translation systems requires a vast amount of knowledge acquisition effort from linguistic and domain experts. It is also the case that translation systems that use a wide variety of complex knowledge sources tend to require more processing time in order to translate texts. In large-scale translation domains, more domain ..
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