1,720,967 research outputs found
Building a Personally Identifiable Information Recognizer in a Privacy Preserved Manner Using Automated Annotation and Federated Learning
No full textThis thesis explores the training of a deep neural network based named entity recognizer in
an end-to-end privacy preserved setting where dataset creation and model training happen
in an environment with minimal manual interventions. With the improvement of accuracy
in Deep Learning Models for practical tasks, a rising concern is satisfying the demand for
training data for these models amidst the concerns on the data privacy. Several scenarios of
data protection are suggested in the recent past due to public concerns hence the legal guidelines
to enforce them. A promising new development is the decentralized model training
on isolated datasets, which eliminates the compromises of privacy upon providing data to a
centralized entity. However, in this federated setting curating the data source is still a privacy
risk mostly in unstructured data sources such as text.
We explore the feasibility of automatic dataset annotation for a Named Entity Recognition
(NER) task and training a deep learning model with it in two federated learning settings.
We explore the feasibility of utilizing a dataset created in this manner for fine-tuning a stateof-
the-art deep learning language model for the downstream task of named entity recognition.
We also explore this novel setting of deep learning NLP model and federated learning
for its deviation from the classical centralized setting.
We created an automatically annotated dataset containing around 80,000 sentences, a
manual human annotated test set and tools to extend the dataset with more manual annotations.
We observed the noise from automated annotation can be overcome to a level by
increasing the dataset size. We also contributed to the federated learning framework with
state-of-the-art NLP model developments. Overall, our NER model achieved around 0.80
F1-score for recognition of entities in sentences
A new brain-inspired robust face recognition through elimination of variation features
No full textAbstractIndependent perceptual feature extraction and modeling the interactions among them are important issues in brain-inspired pattern recognition models. In the face recognition task, person code and different variation codes can be considered as these features. Here, besides extracting the elementary features, perceptual feature modules and their relatedness are modeled. This feature extraction method is a very powerful preprocessing tool in dealing with variation and noise. It would be shown that recognition accuracy for noisy and varied data is highly improved if this classification is implemented in the perceptual feature space instead of the elementary feature space
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
A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified?
Full text linkAs text-to-image systems continue to grow in popularity with the general
public, questions have arisen about bias and diversity in the generated images.
Here, we investigate properties of images generated in response to prompts
which are visually under-specified, but contain salient social attributes
(e.g., 'a portrait of a threatening person' versus 'a portrait of a friendly
person'). Grounding our work in social cognition theory, we find that in many
cases, images contain similar demographic biases to those reported in the
stereotype literature. However, trends are inconsistent across different models
and further investigation is warranted.Comment: Appearing in the AAAI 2023 Workshop on Creative AI Across Modalitie
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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