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1.
Fatemeh Lashkari Ebrahim Bagheri Ali A. Ghorbani 《Information processing & management》2019,56(3):733-755
Traditional information retrieval techniques that primarily rely on keyword-based linking of the query and document spaces face challenges such as the vocabulary mismatch problem where relevant documents to a given query might not be retrieved simply due to the use of different terminology for describing the same concepts. As such, semantic search techniques aim to address such limitations of keyword-based retrieval models by incorporating semantic information from standard knowledge bases such as Freebase and DBpedia. The literature has already shown that while the sole consideration of semantic information might not lead to improved retrieval performance over keyword-based search, their consideration enables the retrieval of a set of relevant documents that cannot be retrieved by keyword-based methods. As such, building indices that store and provide access to semantic information during the retrieval process is important. While the process for building and querying keyword-based indices is quite well understood, the incorporation of semantic information within search indices is still an open challenge. Existing work have proposed to build one unified index encompassing both textual and semantic information or to build separate yet integrated indices for each information type but they face limitations such as increased query process time. In this paper, we propose to use neural embeddings-based representations of term, semantic entity, semantic type and documents within the same embedding space to facilitate the development of a unified search index that would consist of these four information types. We perform experiments on standard and widely used document collections including Clueweb09-B and Robust04 to evaluate our proposed indexing strategy from both effectiveness and efficiency perspectives. Based on our experiments, we find that when neural embeddings are used to build inverted indices; hence relaxing the requirement to explicitly observe the posting list key in the indexed document: (a) retrieval efficiency will increase compared to a standard inverted index, hence reduces the index size and query processing time, and (b) while retrieval efficiency, which is the main objective of an efficient indexing mechanism improves using our proposed method, retrieval effectiveness also retains competitive performance compared to the baseline in terms of retrieving a reasonable number of relevant documents from the indexed corpus. 相似文献
2.
Within the context of Information Extraction (IE), relation extraction is oriented towards identifying a variety of relation phrases and their arguments in arbitrary sentences. In this paper, we present a clause-based framework for information extraction in textual documents. Our framework focuses on two important challenges in information extraction: 1) Open Information Extraction and (OIE), and 2) Relation Extraction (RE). In the plethora of research that focus on the use of syntactic and dependency parsing for the purposes of detecting relations, there has been increasing evidence of incoherent and uninformative extractions. The extracted relations may even be erroneous at times and fail to provide a meaningful interpretation. In our work, we use the English clause structure and clause types in an effort to generate propositions that can be deemed as extractable relations. Moreover, we propose refinements to the grammatical structure of syntactic and dependency parsing that help reduce the number of incoherent and uninformative extractions from clauses. In our experiments both in the open information extraction and relation extraction domains, we carefully evaluate our system on various benchmark datasets and compare the performance of our work against existing state-of-the-art information extraction systems. Our work shows improved performance compared to the state-of-the-art techniques. 相似文献
3.
Afsaneh Bagheri 《The Journal of High Technology Management Research》2017,28(2):159-166
The main purpose of this study is to investigate the influence of entrepreneurial leadership on innovation work behavior and opportunity recognition of employees in high-technology (high-tech) small and medium sized enterprises (SMEs) in Iran. This study involved 310 employees from 39 high-tech SMEs. Using validated questionnaires, the participants were asked to evaluate entrepreneurial leadership practices of their business leaders and their own innovation work behavior and opportunity recognition. The findings suggest a significant impact of entrepreneurial leadership on innovation work behavior and opportunity recognition of employees in the high-tech SMEs. 相似文献
4.
Fawzy Ebrahim 《Roeper Review》2013,35(3):140-147
This study focuses on comparing the creative thinking and reasoning abilities of deaf and hearing children. Two groups of deaf (N = 210) and hearing children (N = 200) were chosen based on specific criteria. Two instruments were used in the study: theTorrance Tests of Creative Thinking‐Figural, Form A and Matrix Analogous Test. Canonical Correlation analysis and multivariate analysis of variance (MANOVA) were used to analyze the data. The canonical correlation analyses revealed one significant dimension in both deaf and hearing children. The multivariate analysis of variance (MANOVA) revealed that there are some similarities and differences between the deaf and hearing samples regarding creative thinking abilities. 相似文献
5.
Nahid Shirani Bidabadi Ebrahim Mirshah Jafari Ahmad Abedi 《The Journal of educational research》2019,112(3):421-428
The authors investigated the effect of a mathematical curriculum (CU) developed based on verbal and practical activities on the mathematical competency (MC) and learning behaviors (LB) of preschool children. In a quasi-experimental design, 60 children (5- to 6-year-old girls) were selected using the accessible sampling method. The children were randomly divided into an experimental group and a control group, and the relevant concepts were taught to the children in both groups. While the control group received the typical kindergarten education based on the usual textbooks and worksheets, the CU was taught to the experimental group. Structural equation modeling was used to model the data and statistical evaluation. The results demonstrated a significant difference between the two groups in MC and LB. The CU significantly improved MC directly, and indirectly through the improvement of LB (i.e., engagement and learning focus, verbal behaviors, and type of activity). 相似文献
6.
Relation extraction aims at finding meaningful relationships between two named entities from within unstructured textual content. In this paper, we define the problem of information extraction as a matrix completion problem where we employ the notion of universal schemas formed as a collection of patterns derived from open information extraction systems as well as additional features derived from grammatical clause patterns and statistical topic models. One of the challenges with earlier work that employ matrix completion methods is that such approaches require a sufficient number of observed relation instances to be able to make predictions. However, in practice there is often insufficient number of explicit evidence supporting each relation type that could be used within the matrix model. Hence, existing work suffer from a low recall. In our work, we extend the work in the state of the art by proposing novel ways of integrating two sets of features, i.e., topic models and grammatical clause structures, for alleviating the low recall problem. More specifically, we propose that it is possible to (1) employ grammatical clause information from textual sentences to serve as an implicit indication of relation type and argument similarity. The basis for this is that it is likely that similar relation types and arguments are observed within similar grammatical structures, and (2) benefit from statistical topic models to determine similarity between relation types and arguments. We employ statistical topic models to determine relation type and argument similarity based on their co-occurrence within the same topics. We have performed extensive experiments based on both gold standard and silver standard datasets. The experiments show that our approach has been able to address the low recall problem in existing methods, by showing an improvement of 21% on recall and 8% on f-measure over the state of the art baseline. 相似文献
7.
Seyed Amin Mirlohi Falavarjani Fattane Zarrinkalam Jelena Jovanovic Ebrahim Bagheri Ali A. Ghorbani 《Information processing & management》2019,56(6):102070
The ever increasing presence of online social networks in users’ daily lives has led to the interplay between users’ online and offline activities. There have already been several works that have studied the impact of users’ online activities on their offline behavior, e.g., the impact of interaction with friends on an exercise social network on the number of daily steps. In this paper, we consider the inverse to what has already been studied and report on our extensive study that explores the potential causal effects of users’ offline activities on their online social behavior. The objective of our work is to understand whether the activities that users are involved with in their real daily life, which place them within or away from social situations, have any direct causal impact on their behavior in online social networks. Our work is motivated by the theory of normative social influence, which argues that individuals may show behaviors or express opinions that conform to those of the community for the sake of being accepted or from fear of rejection or isolation. We have collected data from two online social networks, namely Twitter and Foursquare, and systematically aligned user content on both social networks. On this basis, we have performed a natural experiment that took the form of an interrupted time series with a comparison group design to study whether users’ socially situated offline activities exhibited through their Foursquare check-ins impact their online behavior captured through the content they share on Twitter. Our main findings can be summarised as follows (1) a change in users’ offline behavior that affects the level of users’ exposure to social situations, e.g., starting to go to the gym or discontinuing frequenting bars, can have a causal impact on users’ online topical interests and sentiment; and (2) the causal relations between users’ socially situated offline activities and their online social behavior can be used to build effective predictive models of users’ online topical interests and sentiments. 相似文献
8.
Kristen N. Dickens Christine H. Ebrahim Barbara Herlihy 《Counselor Education & Supervision》2016,55(4):234-249
Interpretive phenomenological analysis was used to explore 10 counselor education doctoral students' lived experiences with multiple roles and relationships. Four superordinate themes were found: power differential, need for education, transformation, and learning from experiences. Findings revealed that multiple roles and relationships offer doctoral students positive and negative experiences, shaping their development as future counselor educators. 相似文献
9.
Khosrow Bagheri Noaparast 《Educational Philosophy and Theory》2018,50(8):776-785
AbstractThis paper aims to extract Iran’s philosophy of education from two sources of the constitution and the course of practice in educational institutions. Regarding the first source, it is argued that parallel to the two main threads of the constitution, Iran’s main elements of philosophy of education are expected to be derived from; (1) Islam and (2) democracy. The challenge in front of this feature of Iran’s implicit philosophy of education refers to the seemingly contradictory relation between the two components of Islam and democracy. It is argued that the hard contrast being held between religion and liberal democracy is not defensible and that there could be compatibilities between the two. As for the second source, it is shown that there are concerns about the main trends that underpin Iranian educational institutions. One trend is that the religious education in Iran is at the threat of becoming dogmatic and being overwhelmed by indoctrination. The second trend, referring to the minorities’ education, shows a further challenge regarding recognition of minorities’ right to education. Finally, the third trend is related to the embrace of neoliberalism in Iranian educational endeavors. It is argued that this trend provides a tension in the overall corpus of the country’s philosophy of education. 相似文献
10.
Seyed Ebrahim Alavi Hamidreza Mansouri Maedeh Koohi Moftakhari Esfahani Fatemeh Movahedi Azim Akbarzadeh Mohsen Chiani 《Indian journal of clinical biochemistry : IJCB》2014,29(2):150-153
In the present study, paclitaxel was archaeosomed to reduce side effects and improve its therapeutic index. Carriers have made a big evolution in treatment of many diseases in recent years. Lipid carriers are of special importance among carriers. Archaeosome is one of the lipid carriers. Paclitaxel is one of the drugs used to treat breast cancer which has some unwanted side effects despite its therapeutic effects. Archaeosomes were extracted from methanogenic archi bacteria and synthesized with a certain ratio of paclitaxel in PBS. The mean diameter of archaeosomal paclitaxel was measured by Zeta sizer instrument, Drug releasing of archaeosomal paclitaxel was examined within 26 h which results showed that the most drug releasing occurs during first 3 h. The cytotoxicity effect of archaeosomal paclitaxel on breast cancer’s cell line was evaluated by MTT assay which results showed that the cytotoxicity effect of archaeosomal paclitaxel on breast cancer’s cell line is more than that of the standard paclitaxel formulation. The results indicated that new drug delivery of paclitaxel using archaeosome, increases the therapeutic index of the drug. 相似文献