scholarly journals GATE: an environment to support research and development in natural language engineering

Author(s):  
R. Gaizauskas ◽  
H. Cunningham ◽  
Y. Wilks ◽  
P. Rodgers ◽  
K. Humphreys
2019 ◽  
Vol 53 (2) ◽  
pp. 3-10
Author(s):  
Muthu Kumar Chandrasekaran ◽  
Philipp Mayr

The 4 th joint BIRNDL workshop was held at the 42nd ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019) in Paris, France. BIRNDL 2019 intended to stimulate IR researchers and digital library professionals to elaborate on new approaches in natural language processing, information retrieval, scientometrics, and recommendation techniques that can advance the state-of-the-art in scholarly document understanding, analysis, and retrieval at scale. The workshop incorporated different paper sessions and the 5 th edition of the CL-SciSumm Shared Task.


2018 ◽  
Vol 7 (2.12) ◽  
pp. 178
Author(s):  
Ji Hoon Hong ◽  
Hark Soo Park ◽  
Dae Ho Kim

Background/Objectives: With aview topreventing the abuse and misuse of national research and development funds, which is increasing day by day, thisstudy investigated how systems can be efficiently constructed and redundant development can be minimized when systems are linked with those of variousmanaging institutions which support research and development funds from the viewpoint of research conducting institutions that have been provided with research and development funds.Methods/Statistical Analysis: This study was conducted with aK government-funded research institute, which is a research conducting institution, in coordination with three institutions; the Ministry of Trade, Industry and Energy, the National Research Foundation of Korea, and the Institute for Information & Communications Technology Promotion.These institutions manage research & development projects.Findings: Inthis study, to prevent the abuse, misuse, and unjust execution of national research and development funds, research-fundcard companies, research managing institutions, and research conducting institutions were linked with each other in real time.First,work efficiency was improved by setting a procedure through which the conducting institutions receive card use details from card companies when research fundcards have been used to execute funds in linkage with the internal executionsystems of the conducting institutions. The data on the execution of funds are transmitted to the managing institutions in real time to enable monitoring in real time.In the past, a conducting institution had to construct a linked system and revise the internal management and execution systems every time a research project from a new managing institution was implemented.Therefore, in this study, when systems were linked, the systems were not directly linked to the DB table, but transmitted/received data by managing institution were analyzed to construct an integrated view and the integrated view was linked with conducting institutions’ internal systems to minimize redundantsystem development.Improvements/Applications: Unjust execution of research and development funds could be prevented in advance, and the transparency of research fund execution could be improved through system linked inreal time. In addition, the expandability of internal systems was improved through the system links and redundant system development when new projects are implemented could be minimized.  


2021 ◽  
Vol 27 (6) ◽  
pp. 763-778
Author(s):  
Kenneth Ward Church ◽  
Zeyu Chen ◽  
Yanjun Ma

AbstractThe previous Emerging Trends article (Church et al., 2021. Natural Language Engineering27(5), 631–645.) introduced deep nets to poets. Poets is an imperfect metaphor, intended as a gesture toward inclusion. The future for deep nets will benefit by reaching out to a broad audience of potential users, including people with little or no programming skills, and little interest in training models. That paper focused on inference, the use of pre-trained models, as is, without fine-tuning. The goal of this paper is to make fine-tuning more accessible to a broader audience. Since fine-tuning is more challenging than inference, the examples in this paper will require modest programming skills, as well as access to a GPU. Fine-tuning starts with a general purpose base (foundation) model and uses a small training set of labeled data to produce a model for a specific downstream application. There are many examples of fine-tuning in natural language processing (question answering (SQuAD) and GLUE benchmark), as well as vision and speech.


2019 ◽  
Vol 25 (3) ◽  
pp. 419-426
Author(s):  
Robert Dale

AbstractThe Journal of Natural Language Engineering is now in its 25th year. The editorial preface to the first issue emphasised that the focus of the journal was to be on the practical application of natural language processing (NLP) technologies: the time was ripe for a serious publication that helped encourage research ideas to find their way into real products. The commercialisation of NLP technologies had already started by that point, but things have advanced tremendously over the last quarter-century. So, to celebrate the journal’s anniversary, we look at how commercial NLP products have developed over the last 25 years.


1986 ◽  
Author(s):  
Ralph Weischedel ◽  
David Stallard ◽  
Remko Scha ◽  
Edward Walker ◽  
Damaris Ayuso ◽  
...  

2021 ◽  
Vol 1 (4) ◽  
pp. 171-177
Author(s):  
Budi Widayanto ◽  
Nanik Dara Senjawati ◽  
Heni Handri Utami

Intensive and harmonious relationship between students, supervisors, and managers is the key to successful mentoring of quality research and scientific works. The problem that often arises is that there is no media that meets the needs of students and supervisors to interact optimally. This study aims to develop a research clinic to support the research process and publication of quality scientific papers. The research method is the Research and Development (R&D) method and the manufacture of product designs is carried out through 5 stages, namely collecting potential and problems, gathering information on needs, product design, product design trials, and finalizing product designs. The results of the study indicate that the need for clinical research in a system can provide optimization for students, supervisors, and study program managers. SISTEMA product design can provide a smooth process by recording student interactions with supervisors and notifications from managers if the mentoring process does not run smoothly.


2021 ◽  
pp. 019262332110419
Author(s):  
Julie A. Hutt ◽  
Basel T. Assaf ◽  
Brad Bolon ◽  
Joy Cavagnaro ◽  
Elizabeth Galbreath ◽  
...  

Sequencing of the human genome and numerous advances in molecular techniques have launched the era of genetic medicine. Increasingly precise technologies for genetic modification, manufacturing, and administration of pharmaceutical-grade biologics have proved the viability of in vivo gene therapy (GTx) as a therapeutic modality as shown in several thousand clinical trials and recent approval of several GTx products for treating rare diseases and cancers. In recognition of the rapidly advancing knowledge in this field, the regulatory landscape has evolved considerably to maintain appropriate monitoring of safety concerns associated with this modality. Nonetheless, GTx safety assessment remains complex and is designed on a case-by-case basis that is determined by the disease indication and product attributes. This article describes our current understanding of fundamental biological principles and possible procedures (emphasizing those related to toxicology and toxicologic pathology) needed to support research and development of in vivo GTx products. This article is not intended to provide comprehensive guidance on all GTx modalities but instead provides an overview relevant to in vivo GTx generally by utilizing recombinant adeno-associated virus-based GTx—the most common in vivo GTx platform—to exemplify the main points to be considered in nonclinical research and development of GTx products.


2017 ◽  
Vol 24 (1) ◽  
pp. 1-1
Author(s):  
RUSLAN MITKOV

The Journal of Natural Language Engineering (JNLE) has enjoyed another very successful year. The impact factor of the journal has increased for the third consecutive year, with the journal being listed among both Linguistics and Computer Science categories. Against the background of a record number of submissions, JNLE has, since 2016, been offering six 160-page issues per year, which by far exceeds the four 96-page issues offered less than 10 years ago!


2016 ◽  
Vol 23 (1) ◽  
pp. 1-2
Author(s):  
RUSLAN MITKOV

In one of my previous editorial notes I promised that the positive developments of the Journal of Natural Language Engineering (JNLE) would be a continuous and common practice. I am proud to report that I have been able to keep this promise. JNLE has enjoyed another very successful year. The impact factor of the journal increased for the second consecutive year, with the journal listed both among the Linguistics and Computer Science categories. From 2016 onwards, JNLE is offering six 160-page issues per year, which by far exceeds the four 96-page issues from less than 10 years ago!


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