We present a method to support the annotation of head movements in video-recorded conversations. Head movement segments from annotated multimodal data are used to train a model to detect head movements in unseen data. The resulting predicted movement
sequences are uploaded to the ANVIL tool for post-annotation editing. The automatically identified head movements and the original annotations are compared to assess the overlap between the two. This analysis showed that movement onsets were more easily detected than offsets, and pointed at a number of patterns in the mismatches between original annotations and model predictions that could be dealt with in general terms in post-annotation guidelines.
In Romanian language there are some resources for automatic text comprehension, but for Emotion Detection, not lexicon-based, there are none. To cover this gap, we extracted data from Twitter and created the first dataset containing tweets annotated
with five types of emotions: joy, fear, sadness, anger and neutral, with the intent of being used for opinion mining and analysis tasks. In this article we present some features of our novel dataset, and create a benchmark to achieve the first supervised machine learning model for automatic Emotion Detection in Romanian short texts. We investigate the performance of four classical machine learning models: Multinomial Naive Bayes, Logistic Regression, Support Vector Classification and Linear Support Vector Classification. We also investigate more modern approaches like fastText, which makes use of subword information. Lastly, we fine-tune the Romanian BERT for text classification and our experiments show that the BERT-based model has the best performance for the task of Emotion Detection from Romanian tweets. Keywords: Emotion Detection, Twitter, Romanian, Supervised Machine Learning
Terminological consistency is an essential requirement for industrial translation. High-quality, hand-crafted terminologies contain entries in their nominal forms. Integrating such a terminology into machine translation is not a trivial task. The MT
system must be able to disambiguate homographs on the source side and choose the correct wordform on the target side. In this work, we propose a simple but effective method for homograph disambiguation and a method of wordform selection by introducing multi-choice lexical constraints. We also propose a metric to measure the terminological consistency of the translation. Our results have a significant improvement over the current SOTA in terms of terminological consistency without any loss of the BLEU score. All the code used in this work will be published as open-source.
We present a system to support simultaneous interpreting in specific domains. The system is going to be developed through a strong synergy among technicians, mostly experts on both speech and text processing, and end-users, i.e. professional interpre
ters who define the requirements and will test the final product. Some preliminary encouraging results have been achieved on benchmark tests collected with the aim of measuring the performance of single components of the whole system, namely: automatic speech recognition (ASR) and named entity recognition.
We present a tool that provides automated feedback to students studying Spanish writing. The feedback is given for four categories: topic development, coherence, writing conventions, and essay organization. The tool is made freely available via a Goo
gle Docs add-on. A small user study with third-level students in Mexico shows that students found the tool generally helpful and that most of them plan to continue using it as they work to improve their writing skills.
With the increase in the number of published academic papers, growing expectations have been placed on research related to supporting the writing process of scientific papers. Recently, research has been conducted on various tasks such as citation wo
rthiness (judging whether a sentence requires citation), citation recommendation, and citation-text generation. However, since each task has been studied and evaluated using data that has been independently developed, it is currently impossible to verify whether such tasks can be successfully pipelined to effective use in scientific-document writing. In this paper, we first define a series of tasks related to scientific-document writing that can be pipelined. Then, we create a dataset of academic papers that can be used for the evaluation of each task as well as a series of these tasks. Finally, using the dataset, we evaluate the tasks of citation worthiness and citation recommendation as well as both of these tasks integrated. The results of our evaluations show that the proposed approach is promising.
The study aims to estimate the requirements of risk management procedures effectiveness in Syrian banking sector, and exams the existence of these requirements by detecting six factors as the requirements of risk management effectiveness according to
the literature. The study used the survey method, the data was collected using a questionnaire developed according to literature review. Fifty questionnaires were send to the employees who work in risk management department in Syrian banks, but only thirty three were received back as an acceptable responses. The data was analyzed using SPSS. This paper showed that the requirements of risk management procedures effectiveness are available in some factors (support from top management, Communication, Information technology ) in banks, and they are not available in others factors( Culture, Organization structure, Training).
The aim of this study was to study the relationship between support and support of senior
management and flexibility of higher education organizations. A questionnaire was
distributed to a random sample of senior management at Tishreen University,
Arab
Academy for Science and Technology, Maritime Transport (20), and a second
questionnaire on a sample of scientific scientists Each of the two universities amounted to
(327) workers.
The study concluded that the higher education organizations under study apply the
principle of supporting and supporting the senior management well, and the higher
education organizations studied the flexibility in an acceptable manner, where all the
changes took place, and by relying on the T test for two independent samples using the
SPSS program, The impact of supporting and supporting senior management as one of the
tools of TQM on flexibility as one of the dimensions of competitive advantage of higher
education organizations under study.
this paper highlights the role NGOs played in
developing these treaties and conferences, setting an example on
how to protect the environment and stop its deterioration on both
national and international levels and find solutions to the problems
and limit them.
Through this study we will explain the application of data mining
and business intelligence using the data existed in the library of
the Arab International University. This data has been linked to the
data of the students on the academic system of
the university.
The study will also answer questions that affect the work of the
educational institution in general and the library in particular,
propose solutions to improve the work of the library and its
services, enhance library working methods, and specify indicators
related to the role of information resources in the educational
operation.
