Abstract Named entity recognition (NER) is a fundamental task for natural language processing, which aims to detect mentions of real-world entities from text and classifying them into predefined types. Recently, research on overlapped discontinuous named has received increasing attention. However, we note that few studies have considered both entities. In this paper, proposed novel sequence-to-...

Purpose: The purpose of the current study is to investigate pre-service teachers’ depression, needs for social approval and selflove/self-efficacy as predictors codependency. It also aimed in this research compare need socialapproval, self-love/self-efficacy codependency according various variables.Design/Methodology/Approach: was conducted on 195 education faculty students (156 females 39 male...

This study aims to examine students' mathematical abilities in algebra and numbers then these are viewed from socioeconomic status self-efficacy. uses a descriptive design that will be examined by PGMI students at state university North Sumatra. The data was obtained looking the scores ability tests, questionnaires self-efficacy scale. Data were analyzed using analysis techniques normal curve a...

Scientific publications contain many references to method terminologies used during scientific experiments. New terms are constantly created within the research community, especially in the biomedical domain where thousands of papers are published each week. In this study we report our attempt to automatically extract such method terminologies from scientific research papers, using rule-based a...

When humans communicate via natural language, they frequently make use of metalanguage to clarify what they mean and promote a felicitous exchange of ideas. One key aspect of metalanguage is the mention of words and phrases, as distinguished from their use. This paper presents ongoing work on identifying and categorizing instances of languagemention, with the goal of building a system capable o...

A mention may or may not be coreferred elsewhere in the document. Identifying those mentions that are corefered (called coreferents) is an important step in many NLP tasks, like coreference resolution. To classify a mention as singleton or coreferent using just one sentence is a challenging problem, but previous work suggests that there are cues in a sentence which can be used to predict if a m...