1,721,077 research outputs found
Tracking Changes in ESG Representation
No full textDatasets and code for replication for paper: Matthew Purver, Matej Martinc, Riste Ichev, Igor Lončarski, Katarina Sitar Šuštar, Aljoša Valentinčič and Senja Pollak. Tracking Changes in ESG Representation: Initial Investigations in UK Annual Reports. Proceedings of the LREC Workshop on Corporate Social Responsibility, June 202
Tracking Changes in ESG Representation
No full textDatasets and code for replication for paper: Matthew Purver, Matej Martinc, Riste Ichev, Igor Lončarski, Katarina Sitar Šuštar, Aljoša Valentinčič and Senja Pollak. Tracking Changes in ESG Representation: Initial Investigations in UK Annual Reports. Proceedings of the LREC Workshop on Corporate Social Responsibility, June 202
Tracking Changes in ESG Representation
No full textDatasets and code for replication for paper: Matthew Purver, Matej Martinc, Riste Ichev, Igor Lončarski, Katarina Sitar Šuštar, Aljoša Valentinčič and Senja Pollak. Tracking Changes in ESG Representation: Initial Investigations in UK Annual Reports. Proceedings of the LREC Workshop on Corporate Social Responsibility, June 202
Multimodal Fallacy Classification in Political Debates
Full text linkRecent advances in NLP suggest that some tasks, such as argument detection and relation classification, are better framed in a multimodal perspective. We propose multimodal argument mining for argumentative fallacy classification in political debates. To this end, we release the first corpus for multimodal fallacy classification. Our experiments show that the integration of the audio modality leads to superior classification performance. Our findings confirm that framing fallacy classification as a multimodal task is essential to capture paralinguistic aspects of fallacious arguments
Measuring Syntactic Priming in Dialogue Corpora
Full text linkPietsch C, Buch A, Kopp S, de Ruiter J. Measuring Syntactic Priming in Dialogue Corpora. In: Stolterfoht B, Featherston S, eds. Empirical Approaches to Linguistic Theory: Studies in Meaning and Structure. Studies in Generative Grammar [SGG]. Vol 111. Berlin: Mouton de Gruyter; 2012: 29-42.The tendency to reuse syntactic constructions is often attributed to
syntactic priming. We devise a simple, distribution-based measure of
priming between linguistic constructions (or syntactic
rules/categories), and find priming in treebanks of dialogue corpora,
both for context-free production rules and for Combinatory Categorial
Grammar categories. It is stronger for task-oriented dialogues, and
stronger in lexical categories than in syntactic categories.
As priming cannot be measured directly in language corpora, we use the
decay of rule repetition probability as a proxy. A limitation of the
method presented here is that it conflates self-priming and
other-priming. However, we consider it a great advantage that our
method takes into account all rules or categories occurring in a given
corpus, not just a few carefully selected constructions
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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