Do you want to publish a course? Click here

A Case Study of In-House Competition for Ranking Constructive Comments in a News Service

دراسة حالة للمسابقة الداخلية للتصنيف تعليقات بناءة في خدمة إخبارية

136   0   0   0.0 ( 0 )
 Publication date 2021
and research's language is English
 Created by Shamra Editor




Ask ChatGPT about the research

Ranking the user comments posted on a news article is important for online news services because comment visibility directly affects the user experience. Research on ranking comments with different metrics to measure the comment quality has shown constructiveness'' used in argument analysis is promising from a practical standpoint. In this paper, we report a case study in which this constructiveness is examined in the real world. Specifically, we examine an in-house competition to improve the performance of ranking constructive comments and demonstrate the effectiveness of the best obtained model for a commercial service.



References used
https://aclanthology.org/
rate research

Read More

This research seeks to shed light on the important issue of social service issues, namely how the scientific and professional proper handling of social intervention and solving some of the social problems that you may encounter individuals or famil ies, or reduce the severity of these problems as much as possible through the so-called (general practice in modern social service) where is the general practice in the social service of the newest specialized programs currently in place in developed countries, which seeks to train researchers or specialists meetings in possession of solving the social problem skills, according to a holistic approach fits the capabilities available, and addresses the needs of the beneficiaries (the owners of the problems) . This paper introduced a practical model and realistic about the social problem on the individual and household level , and shows the stages of social intervention from the perspective of general practice and the development of social intervention plan suits the studied case, aimed at solving or alleviating the problems of this family . Use this search phases of modern social intervention currently applied in developed countries was the most important of search results that it has been most of the problems faced by the family that has been studied exceeded , so the general practice are suitable to solve family problems working mechanism .
Recent Deep Learning (DL) summarization models greatly outperform traditional summarization methodologies, generating high-quality summaries. Despite their success, there are still important open issues, such as the limited engagement and trust of us ers in the whole process. In order to overcome these issues, we reconsider the task of summarization from a human-centered perspective. We propose to integrate a user interface with an underlying DL model, instead of tackling summarization as an isolated task from the end user. We present a novel system, where the user can actively participate in the whole summarization process. We also enable the user to gather insights into the causative factors that drive the model's behavior, exploiting the self-attention mechanism. We focus on the financial domain, in order to demonstrate the efficiency of generic DL models for domain-specific applications. Our work takes a first step towards a model-interface co-design approach, where DL models evolve along user needs, paving the way towards human-computer text summarization interfaces.
هدف هذا البحث الى معرفة دور استخدام نماذج صفوف الانتظار في تحسين وقت الخدمة للعيادات الصحيّة في الجمهوريّة العربيّة السوريّة، وطبقت الدراسة في العيادة القلبيّة بمستشفى تشرين بدمشق خلال الفترة الممتدة من 1/7 إلى 30/8 من عام 2019. توصّلت الدراسة إلى ت قديم نموذج بديل لتحسين الوضع الحالي الموجود في العيادة الصحيّة محل الدراسة، حيث ساهم النموذج البديل في تحسين مقاييس الأداء بشكل جوهري كما يؤدي تطبيق هذا النموذج إلى تخفيض عدد المرضى في صف الانتظار الخاص بالعيادة إلى مستوى شبه معدوم.
In a typical customer service chat scenario, customers contact a support center to ask for help or raise complaints, and human agents try to solve the issues. In most cases, at the end of the conversation, agents are asked to write a short summary em phasizing the problem and the proposed solution, usually for the benefit of other agents that may have to deal with the same customer or issue. The goal of the present article is advancing the automation of this task. We introduce the first large scale, high quality, customer care dialog summarization dataset with close to 6500 human annotated summaries. The data is based on real-world customer support dialogs and includes both extractive and abstractive summaries. We also introduce a new unsupervised, extractive summarization method specific to dialogs.
This paper reviews the obstacles that hinder the application of Six Sigma strategy in the services sector specially the case under study. The most common obstacles, to application of Six Sigma strategy, has been identified depending on the referen ce study, then a questionnaire was designed to determine the likelihood occurrence of obstacles and the degree of its importance where the disability level identified by integrating the standard probability and the expected importance, later another questionnaire was designed to determine the possible procedures that could avoid obstacles to be able to apply the Six Sigma strategy.

suggested questions

comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا