PURA TAMAN AYUN MENGWI DALAM KONTEKS SENI PERTUNJUKAN WISATA

The Taman Ayun temple is better known in terms of its physical appearance and many visitors come to this place not only during the daytime, but also in the evening. They come to enjoy their dinner and to see the performance art, which I refer to as a new creation of performing art. This performing art is unique because it does not apply the traditional concept of performing art anymore. Seen from its form, this newly created performing arts is not only created from several performing art components, but also from cultural activities at the temple (procession and night market), by involving hundreds of people in every performance. The creation of this new performing art is a response of the community of Mengwi on the development tourism industry in Bali and particularly in Mengwi Key words : Taman Ayun Temple, performance, art, tourism

EKSPRESI MULTIKULTURALISME DALAM SENI PERTUNJUKAN TRADISIONAL BALI

Multiculturalism or other varieties of culture is being a point of view in culture dialog as one of the basic element to united the Indonesian Nation. Balinese traditional Art performance is on exspression, creativity, social interaction, places, media education, and include the pint based on Pancasila. Multiculturalism in art performance is an expression in many varieties of culture thought it is in the same level of opposite. Multiculturalism in Balinese Traditional Art is not just released. It is passed down from the ancestors long time ago from generation to generations. That can be shown in Wayang Kulit Art Performance and used Mahabrata and Ramayana epics the storyboard, Sam Pik Ing Tay Story from China used as the story in Drama Gong and also for Gambuh Dance, Baris Cina Dance, Barong Landung and many other things as an exspression of multiculturalism

Tilted: Exploring the Mainstreaming and Diversity of Modern Drag

The act of presenting oneself to the world around them is a performance. Gender takes a massive part in this “performance” as the “gender roles” that we as humans embody due to preconceived societal constructs shape the world’s perception of us (Butler 92-95). The world’s normality of performing the gender that closely matches one’s sex assignment is not the only option. The long practiced Queer art form of Drag, blurs and changes the lines of gender through performance. This in turn plays with the fluidity in the manmade construct of gender. Drag is a necessary art form within the Queer community as it creates a visible spectacle of queerness. It beckons visibility of identities that are chastised, “othered”, and oppressed by heteronormativity. This essay will examine how the art of Drag is for anyone looking to explore their gender identity and how the art form’s growth in popularity within the last decade has transformed it from being subversive into mainstream

Deep Active Learning for Named Entity Recognition

Deep learning has yielded state-of-the-art performance on many natural language processing tasks including named entity recognition (NER). However, this typically requires large amounts of labeled data. In this work, we demonstrate that the amount of labeled training data can be drastically reduced when deep learning is combined with active learning. While active learning is sample-efficient, it can be computationally expensive since it requires iterative retraining. To speed this up, we introduce a lightweight architecture for NER, viz., the CNN-CNN-LSTM model consisting of convolutional character and word encoders and a long short term memory (LSTM) tag decoder. The model achieves nearly state-of-the-art performance on standard datasets for the task while being computationally much more efficient than best performing models. We carry out incremental active learning, during the training process, and are able to nearly match state-of-the-art performance with just 25\% of the original training data

Aesthetics relation between art, culture, politics: social turn

Рукопись поступила в редакцию 1 июня 2016 г.This article deals with the problem of important social turn in the relationship between politics and art in the contemporary situation. In the postmodern sense, the relation between politics and art is assumed as performance or, in other words, as the representation of art and politics in the realm of cultural discourses and figures. The relations between art and politics in the contemporary sense may be assumed in terms of this triple definition, as: the transfer of politics into art, as the spectacularization of politics through art, and as a potential field of intervening critical, subversive practices in the global-transitional social processes of performing forms of life in the realm of expansive neoliberal capitalism and its global crisis

The Substitution Principle Revisited

In their Anachronic Renaissance, Alexander Nagel and Christopher Wood identify two principles upon which, in fifteenth-century Europe, a work of art might establish its validity or authority: substitution and performance. It has become established wisdom that the dual schema of substitution and performance follows Hans Belting's dualism of the medieval cult of the image and the modern aesthetic system of art. This, I submit, is not just a mistake, but also prevents from evaluating one of the book's most ambitious contributions to art-historical theory on its own merits. An analysis of the structure of the claims made by Nagel and Wood brings to light that the two concepts—substitution and performance—do not play the same role as the conceptual pair of Bild and Kunst in Belting's influential work

Neural Natural Language Inference Models Enhanced with External Knowledge

Modeling natural language inference is a very challenging task. With the availability of large annotated data, it has recently become feasible to train complex models such as neural-network-based inference models, which have shown to achieve the state-of-the-art performance. Although there exist relatively large annotated data, can machines learn all knowledge needed to perform natural language inference (NLI) from these data? If not, how can neural-network-based NLI models benefit from external knowledge and how to build NLI models to leverage it? In this paper, we enrich the state-of-the-art neural natural language inference models with external knowledge. We demonstrate that the proposed models improve neural NLI models to achieve the state-of-the-art performance on the SNLI and MultiNLI datasets.Comment: Accepted by ACL 201