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Ontology-Based Metasearch Engine in Electronics Area

To increase result's precession, users sometimes choose search engines, specialized in searching concrete domain, personalized or semantic search.  ...  Satisfying concrete user information needs becomes more and more difficult because of inability in it complete explicit specification and short comes of keyword-based searching and indexing.  ...  That is why digital libraries typically use embedded search tools. Traditional (surface web) search engines use syntax based (keyword-based) search.  ... 
doi:10.35940/ijitee.l8014.1091220 fatcat:rgknuhiwffhjldvu4w7ugiht2i

Semantic Search over Wikipedia Documents Meaning of Queries Based Pre-Trained Language Model

Tharun P Tharun P, TJPRC
2021 International Journal of Computer Science Engineering and Information Technology Research  
However, as our semantic search will make it possible to search with the keyword that will give you what it was searched for, it is still challenging for such models to train and get the accuracy level  ...  By recommending Semantic Search Analysis (SSA), which is a fully specialized technique for representing text in the main superior domain obtained from Wikipedia.  ...  According to Wikipedia: Semantic search denotes search with meaning, as distinguished from lexical search where the search engine looks for literal matches of the query words or variants of them, without  ... 
doi:10.24247/ijcseitrdec20212 fatcat:z3ttcyinzjctrkek4mdividw3i

AI-enabled Automation for Completeness Checking of Privacy Policies [article]

Orlando Amaral, Sallam Abualhaija, Damiano Torre, Mehrdad Sabetzadeh, Lionel C. Briand
2021 arXiv   pre-print
Compared to a baseline that applies keyword search only, our approach results in an improvement of 24.5% in precision and 38% in recall.  ...  In Europe, privacy policies are subject to compliance with the General Data Protection Regulation (GDPR).  ...  Despite having keywords for all metadata types, the use of keyword search in our approach is limited.  ... 
arXiv:2106.05688v2 fatcat:xspeasrs3nbd3mj5dfdhajdg5a

A comparative survey of recent natural language interfaces for databases

Katrin Affolter, Kurt Stockinger, Abraham Bernstein
2019 The VLDB journal  
Overall, we learned that keyword-based systems are enough to answer simple questions.  ...  We categorize the NLIs into four groups based on the methodology they are using: keyword-, pattern-, parsing-, and grammar-based NLI.  ...  The same applies to NLIs: when an ambiguity occurs, the system needs to clarify with the user.  ... 
doi:10.1007/s00778-019-00567-8 fatcat:cprffdwdgvdflfyfobsirmqwgm

Users' Meaning in Interpersonal and Technology Mediated Information Need Specification

Michael S. Nilan, Kyunghye Yoon
2011 International Journal of Interdisciplinary Social Sciences  
According to topic-based information search logic, content can be represented as topical terms or keywords to be matched with user query terms.  ...  The discussion here focuses on the utility of comment for the topic-dominant information search technology and system design.  ...  Current information search technology such as Internet search engines and information retrieval systems are based on the keyword matching principles where a document is represented as a "bag of words"  ... 
doi:10.18848/1833-1882/cgp/v05i09/51877 fatcat:7li6hd3l2nbz5pqgjegqybwrp4

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting [article]

Sheng-Chieh Lin, Jheng-Hong Yang, Rodrigo Nogueira, Ming-Feng Tsai, Chuan-Ju Wang, Jimmy Lin
2021 arXiv   pre-print
In this paper, we tackle conversational passage retrieval (ConvPR), an important component of conversational search, by addressing query ambiguities with query reformulation integrated into a multi-stage  ...  For the former, we expand conversational queries using important terms extracted from the conversational context with frequency-based signals.  ...  is with high probability a keyword.  ... 
arXiv:2005.02230v2 fatcat:prof2i6vrnfwnbjk3aa6qickra

A Self-Relevant CNN-SVM Model for Problem Classification in K-12 Question-Driven Learning

Eric Hsiao-Kuang Wu, Sung-En Chen, Jhao-Jhung Liu, Yu-Yen Ou, Min-Te Sun
2020 IEEE Access  
A well-performed management can avoid the situation that learning materials with the same knowledge set are defined into different sections due to ambiguous expressions.  ...  With the development and progress of science and technology, the learning patterns also evolve. In Question-Driven learning, students clarify and validate what they learn by answering questions.  ...  LEAM demonstrates text classification using both label embedding and word embedding to get the wordlabel attention for text classification.  ... 
doi:10.1109/access.2020.3039531 fatcat:4lcinfcmvnhhbd7soxmmswi6sm

Self-Supervised Euphemism Detection and Identification for Content Moderation [article]

Wanzheng Zhu, Hongyu Gong, Rohan Bansal, Zachary Weinberg, Nicolas Christin, Giulia Fanti, Suma Bhat
2021 arXiv   pre-print
Existing tools for enforcing policy automatically rely on keyword searches for words on a "ban list", but these are notoriously imprecise: even when limited to swearwords, they can still cause embarrassing  ...  Compared to the existing state of the art, which uses context-free word embeddings, our algorithm for detecting euphemisms achieves 30-400% higher detection accuracies of unlabeled euphemisms in a text  ...  (2016) [12] Unsupervised Cybersecurity (QQ) Target keywords, online search service Unsupervised learning, word embedding (i.e., word2vec), La- tent Dirichlet Allocation (LDA) Yang et al.  ... 
arXiv:2103.16808v1 fatcat:z44viumb25bxdmdyr66gfoxipu

Concept Clarification of Moral Case Deliberation

Dara Rasoal
2018 Open Journal of Nursing  
Using specific keywords in the databases, searching for peer-reviewed academic paper published in English between 1995-2017 in the CINAHL, MEDLINE, Psych Info, Academic Search Elite and AMED.  ...  Conclusions: Clarify the concept of moral case deliberation can be useful for healthcare professionals when choosing a facilitate-base reflection.  ...  Firstly, together with the librarian, a search was conducted to identify relevant keywords that were specific and relevant to the concept.  ... 
doi:10.4236/ojn.2018.86031 fatcat:5lruppwufrhr7hfcxskk7652ca

Understanding queries in a search database system

Ronald Fagin, Benny Kimelfeld, Yunyao Li, Sriram Raghavan, Shivakumar Vaithyanathan
2010 Proceedings of the twenty-ninth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems of data - PODS '10  
To surpass existing heuristics, there is a need for a formal basis, which is realized in this paper through the framework of a search database system, where an interpretation is identified as a parse.  ...  However, under reasonable assumptions, the parses can be enumerated in an order of decreasing specificity, with polynomial delay and polynomial space.  ...  associating keywords with database content.  ... 
doi:10.1145/1807085.1807121 dblp:conf/pods/FaginKLRV10 fatcat:75ihqsgpmnbmxn5qlwq7dy4idu

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions [article]

Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeffrey Dalton, Mikhail Burtsev
2021 arXiv   pre-print
Namely, for cases when a user request is not specific enough for a conversation system to provide an answer right away, it is desirable to ask a clarifying question to increase the chances of retrieving  ...  Enabling open-domain dialogue systems to ask clarifying questions when appropriate is an important direction for improving the quality of the system response.  ...  We also thank all the participants of the data challenge for taking part in the competition and releasing their models.  ... 
arXiv:2109.05794v1 fatcat:bbj473vvnrhr7lwump2545c3km

A Keyword Analysis of Stance and Engagement in Three-Minute Thesis (3MT) Presentations

Wenhsien Yang
2020 GEMA Online® Journal of Language Studies  
For example, 'you' was less deployed by both groups compared with its use in other academic spoken genre texts.  ...  The addressors were compared in their use of personal pronouns to present their stance and to interact with the audience.  ...  For instance: -…would that be better if you have certain search engines…?  ... 
doi:10.17576/gema-2020-2002-01 fatcat:5tnhklfsbfbpnpncnnlasfrlwm

Television Is Still "Easy" and Print Is Still "Tough"? More Than 30 Years of Research on the Amount of Invested Mental Effort

Frank Schwab, Christine Hennighausen, Dorothea C. Adler, Astrid Carolus
2018 Frontiers in Psychology  
Based on these keywords, we identified seven content clusters: affect and motivation, application fields, cognition and learning, education and teaching, media technology, learning with media technology  ...  From these findings, the importance of AIME for further research is discussed.  ...  To clarify were the framework of AIME might have diffused, we conducted a literature search on research articles that cite Salomon (1984) .  ... 
doi:10.3389/fpsyg.2018.01098 pmid:30018581 pmcid:PMC6037870 fatcat:34dxqovr5jcm5be3go3xxuhvdm

Strong Cognitive Symbiosis: Cognitive Computing for Humans

Csaba Veres
2017 Big Data and Cognitive Computing  
We conclude that strong symbiosis presents a viable new perspective for the design of cognitive computing systems.  ...  Cognitive Computing" has become somewhat of a rallying call in the technology world, with the promise of new smart services offered by industry giants like IBM and Microsoft.  ...  For example, human actions are frequently driven by context, such that a web search with the word "apple" would have a different intention if the person had previously searched for "orange" than if he/  ... 
doi:10.3390/bdcc1010006 fatcat:u3snsalujvf5fgyinzjxwl5c6a

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies [article]

Pok Wah Chan
2022 arXiv   pre-print
queries with dynamic search conditions.  ...  Our proposed framework consists of three modules, specialized for anomaly detection, information retrieval and reliability assessment.  ...  Lexical Ambiguity: The second type of ambiguity is harder to identify as keywords in the search query may carry different semantics.  ... 
arXiv:2203.08144v1 fatcat:rusadj2rgrbplekl3bbpunbdwm
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