50,501 research outputs found
Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation
Interpretability of a predictive model is a powerful feature that gains the
trust of users in the correctness of the predictions. In word sense
disambiguation (WSD), knowledge-based systems tend to be much more
interpretable than knowledge-free counterparts as they rely on the wealth of
manually-encoded elements representing word senses, such as hypernyms, usage
examples, and images. We present a WSD system that bridges the gap between
these two so far disconnected groups of methods. Namely, our system, providing
access to several state-of-the-art WSD models, aims to be interpretable as a
knowledge-based system while it remains completely unsupervised and
knowledge-free. The presented tool features a Web interface for all-word
disambiguation of texts that makes the sense predictions human readable by
providing interpretable word sense inventories, sense representations, and
disambiguation results. We provide a public API, enabling seamless integration.Comment: In Proceedings of the the Conference on Empirical Methods on Natural
Language Processing (EMNLP 2017). 2017. Copenhagen, Denmark. Association for
Computational Linguistic
Evaluation of aesthetic integration between composite restorations and natural tooth in NCCL: a case report
NCCL (non carious cervical lesion) is defined as irreversible loss of dental hard tissue that does not involve bacteria. It consists of erosion, attrition, abrasion and abfraction that rarely occur alone. Dentinal hypersensitivity is an early symptom of NCCL. Preventive measures and restorative treatment can avoid the progress of NCCL. This paper reports a case of NCCL treatment with aesthetic purpose. The aesthetic evaluation was made by means of spectrophotometry as a standardized method. Spectrophotometric measurements such as International Commission on Illumination (CIE-Commission Internationale de l’Eclaraige) CIE L* a* b* and ΔE between the sound enamel and resin restoration, provide all the information about the outcome of the aesthetic restorative treatment
Sensory augmentation and the tactile sublime
This paper responds to recent developments in the field of sensory augmentation by analysing several technological devices that augment the sensory apparatus using the tactile sense. First, I will define the term sensory augmentation, as the use of technological modification to enhance the sensory apparatus, and elaborate on the preconditions for successful tactile sensory augmentation. These are the adaptability of the brain to unfamiliar sensory input and the specific qualities of the skin lending themselves to be used for the perception of additional sensory information. Two devices, Moon Ribas’ Seismic Sense and David Eagleman’s vest, will then be discussed as potential facilitators of aesthetic experiences in virtue of the tactile sensory augmentation that these devices allow. I will connect the experiences afforded by these devices to the Kantian categories of the mathematical and the dynamical sublime, and to existing accounts of tactile sublimity. Essentially, the objects these devices make sensible, earthquakes for the Seismic Sense and digital information for the vest, produce pleasurable feelings of potential danger, awe, and respect. The subsequent acclimation to this new way of sensing and the aim to comprehend its sensed object are then discussed as possible objections to the interpretation of these experiences as sublime, and as aesthetic in general. To exemplify these issues and concretise my thesis of tactile sensory augmentation as a trigger of the sublime, I will outline an experiment to use the vest as an aid for faster decision making on the stock market
Truly Jewish: Diasporic Identity and “Chosen Glory” in “Monte Sant’Angelo”
In her memoir Unorthodox, Deborah Feldman observes, “A Jew can never be a goy... even if they try to become one. They may dress like one, speak like one, live like one, but Jewishness is something that can never be erased” (96). Her intriguing observation parallels the major themes of Arthur Miller’s short story “Monte Sant’Angelo,” which explores Jewish identity. The modern psychological constructs of diasporic identity, “chosen glory,” and “chosen trauma,” developed after the short story was written, help to interpret the psychological drama unfolding in the little village of Monte Sant’Angelo. Bernstein, a diasporic Ashkenazi Jew, struggles with his Jewish-American heritage. His internal conflict burgeons as he watches his Italian friend Appello enthusiastically explore his ancestral village. He acutely senses his lack of a homeland, a people, and a heritage. Rather than identify with his Jewish heritage, which he perceives to be insufficient, he tries to embrace his American heritage but fails. Through his experiences with his friend Appello and the assimilated Italian Jew Mauro di Benedetto, Bernstein realizes that he will find identity security not by renouncing his Jewishness, but by embracing a diasporic identity and “chosen glory” along with his American identity. Bernstein’s visceral struggle with shame ends in triumphant security as he at last embraces his diasporic identity and “chosen glory.” Feldman aptly summarizes this newfound identity in describing her own reconciliation with her heritage: “For a while, I thought I could un-Jew myself. Then I realized that being Jewish is not the ritual or the action. It is one’s history. I am proud of being Jewish, because I think that’s where my indomitable spirit comes from, passed down from ancestors who burned in the fires of persecution because of their blood, their faith. I am Jewish; I am invincible” (250). By reconciling with his heritage, Bernstein has also become invincible
\u3cem\u3eBeyond Therapy\u3c/em\u3e: A Dramaturgical Look at Christopher Durang\u27s Absurdist Play
This research notebook (also known as a dramaturgy notebook) was created as a class project for an advanced Theatre History course. We were asked to choose one play to study throughout the semester with the ultimate goal of creating a dramaturgy notebook that would be usable for a production team were we to produce our show of choice. Having a great interest in Christopher Durang and his work, I chose to study Beyond Therapy. We were asked specifically to write a biography on our chosen playwright, a historical context essay, an essay about themes present in the show, and an essay commenting on published criticisms on various performances of the show. Beyond that, we were also asked to write two supplements that might be found in a dramaturgy notebook. For this portion of the assignment I chose to write a press release covering the fictional Linfield production, and to create a question and answer section culminating in some interview questions published on Durang’s website. While the notebook as a whole serves to provide context for a production team, each section of the notebook has its own stand-alone function. In 2014, this research was presented at the Kennedy Center American College Theatre Festival (Region VII) in Boise, Idaho and was awarded first runner-up in the dramaturgy category
Growing a Tree in the Forest: Constructing Folksonomies by Integrating Structured Metadata
Many social Web sites allow users to annotate the content with descriptive
metadata, such as tags, and more recently to organize content hierarchically.
These types of structured metadata provide valuable evidence for learning how a
community organizes knowledge. For instance, we can aggregate many personal
hierarchies into a common taxonomy, also known as a folksonomy, that will aid
users in visualizing and browsing social content, and also to help them in
organizing their own content. However, learning from social metadata presents
several challenges, since it is sparse, shallow, ambiguous, noisy, and
inconsistent. We describe an approach to folksonomy learning based on
relational clustering, which exploits structured metadata contained in personal
hierarchies. Our approach clusters similar hierarchies using their structure
and tag statistics, then incrementally weaves them into a deeper, bushier tree.
We study folksonomy learning using social metadata extracted from the
photo-sharing site Flickr, and demonstrate that the proposed approach addresses
the challenges. Moreover, comparing to previous work, the approach produces
larger, more accurate folksonomies, and in addition, scales better.Comment: 10 pages, To appear in the Proceedings of ACM SIGKDD Conference on
Knowledge Discovery and Data Mining(KDD) 201
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