Minimal User Feedback and the Elemental Technologies

Semi-Supervised Technical Term Tagging With Minimal User Feedback

In this paper, we address the problem of extracting technical terms automatically from an unannotated corpus. We introduce a technology term tagger , that is based on Liblinear Support Vector Machines and employs linguistic features including Part of Speech tags and Dependency Structures, in addition to user feedback to perform the task of identification of technology related terms. Our experim...

the effect of audio-taped feedback and conferencing on efl students’ writing ability

: بازخورد یکی از جنبه ها ی ضروری هر دوره ی آموزشی نگارشی – زبانی انگلیسی می باشد که به زبان آموزان مهارت های مورد نیاز جهت بهبود توانایی نگارشی را می آموزد. این تحقیق، با استفاده از طرح پیش آزمون، پس آزمون، و پسا آزمون ، سعی دارد تا تأ?یر نوع بازخورد مدرس در کمک به زبان آموزان جهت بازنویسی نوشته هایشان رابررسی کند ، و آیا اینکه رابطه ای بین نوع بازخورد مدرس و توانایی زبان آموزان در تصحیح غلط ها...

the effect of recast and direct focused written corrective feedback on the grammatical accuracy of iranian efl learners’ writing achievement and retention

the extent to which written corrective feedback on linguistic errors can play a role in helping l2 writers improve the accuracy of their writing continues to be an issue of interest to researchers and teachers since truscott (1996) mounted a case for its abolition. while there is growing empirical evidence that written corrective feedback can successfully target some types of linguistic error (...

User-Interface-Technologies and -Techniques

RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features

Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...