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.