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Event detection (ED) aims at identifying event instances of specified types in given texts, which has been formalized as a sequence labeling task. As far as we know, existing neural-based ED models make decisions relying entirely on the contextual se mantic features of each word in the inputted text, which we find is easy to be confused by the varied contexts in the test stage. To this end, we come up with the idea of introducing a set of statistical features from word-event co-occurrence frequencies in the entire training set to cooperate with contextual features. Specifically, we propose a Semantic and Statistic-Joint Discriminative Network (SS-JDN) consisting of a semantic feature extractor, a statistical feature extractor, and a joint event discriminator. In experiments, SS-JDN effectively exceeds ten recent strong baselines on ACE2005 and KBP2015 datasets. Further, we perform extensive experiments to comprehensively probe SS-JDN.
Entity retrieval, which aims at disambiguating mentions to canonical entities from massive KBs, is essential for many tasks in natural language processing. Recent progress in entity retrieval shows that the dual-encoder structure is a powerful and ef ficient framework to nominate candidates if entities are only identified by descriptions. However, they ignore the property that meanings of entity mentions diverge in different contexts and are related to various portions of descriptions, which are treated equally in previous works. In this work, we propose Multi-View Entity Representations (MuVER), a novel approach for entity retrieval that constructs multi-view representations for entity descriptions and approximates the optimal view for mentions via a heuristic searching method. Our method achieves the state-of-the-art performance on ZESHEL and improves the quality of candidates on three standard Entity Linking datasets.
This report describes the course Evaluation of NLP Systems, taught for Computational Linguistics undergraduate students during the winter semester 20/21 at the University of Potsdam, Germany. It was a discussion-based seminar that covered different a spects of evaluation in NLP, namely paradigms, common procedures, data annotation, metrics and measurements, statistical significance testing, best practices and common approaches in specific NLP tasks and applications.
The study aimed to investigate the relationship between social intelligence and creative thinking among secondary school students in Damascus, in addition to identifying the level of social intelligence and creative thinking among the students in t he research sample. The researcher used the analytical descriptive method. The study sample consisted of (74) students from secondary school students who were randomly selected. The study tools consisted of the first measure of social intelligence and the second measure of creative thinking. The researcher conducted the necessary statistical analysis to ascertain the psychometric characteristics of the research tools on the one hand and to verify the validity of the hypotheses on the other hand. The results were as follows: 1. There is a significant correlation between social intelligence and creative thinking among high school students (first secondary) 2. There are statistically significant differences in social intelligence among high school students due to the difference in sex (male - female) in favor of females. 3. There are no statistically significant differences in creative thinking among high school students due to gender differences (male - female). In the light of the findings of the study, the researcher recommended the necessity of preparing some activities and exercises that help to develop social intelligence in high school students and to find courses that promote and stimulate the skills of intelligence and thinking, especially social intelligence and creative thinking. The study also recommended that the teacher focus on presenting his material on skills Interpretation, analysis, flexibility, fluency and originality so that students can acquire creative thinking skills
Individuals with dental crowding are the most frequent patients in the orthodontic clinic. Therefore, it is useful to know the contributing factors of dental crowding for planning of orthodontic treatment and achieving stability and retention. Th e aim the study. Was studying effect of teeth sizes and linear and angular dental Measurements on mandibular anterior crowding in the early stage of mixed dentition.
The aim of current research to identify the profiles of multiple intelligences prevailing among secondary school students (first and second secondary) in the city of Damascus, also aimed to examine the direction of differentiation in these intelli gences according to the variables: gender, grade and specialty. To achieve these goals has been applied study tool after it has been verified validity and reliability of the author (260) student's sample.
This study aims to score psychological, academic and economic problems faced by students with special needs in the Faculty of Arts at the University of Damascus and to identify the differences in these problems between the research samples. The sa mple consisted of / 72/ students from the students of the Faculty of Arts at Damascus University, was selected deliberate manner.
The aim of the research was to identify the relationship between the two levels of social anxiety and psychological Hardiness among the general secondary school students in Damascus city, and their differences in the levels of social anxiety and psychological Hardiness according to gender and grade. The study sample consisted of (698) male and female students who were randomly selected from the general secondary schools in Damascus. The social anxiety scale (the researcher's preparation) and the mental hardness scale (Maddi & Koshaba, 2001) were applied after verifying their validity and stability.
This research aims to identify the extent of the practice of mathematics teachers at the secondary level of the roles of the teacher in the light of the knowledge-based economy from the perspective of mentors specialists. Was preparing a questionnaire consisting of 38 items, applied to all directors math workers of the province of Hama Education Directorate's (10).
This study aimed to know the thinking skills beyond the knowledge used by teachers of mathematics in secondary education and students , and to identify these skills prepared tool Note has been verified sincerity and persistence , have been applied to (15) teachers of mathematics , and has been observed (30) share with (15) of the math teachers in grades (first secondary - the second secondary - the third secondary ) of secondary schools in the city of Hama , spotted during which skills beyond knowledge that has been used by teachers and their students in the course of solving engineering problems.
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