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Building and Validating Hierarchical Lexicons with a Case Study on Personal Values [chapter]

Steven R. Wilson, Yiting Shen, Rada Mihalcea
2018 Lecture Notes in Computer Science  
Using our proposed approach, we create a hierarchical lexicon of personal values and evaluate its internal and external consistency.  ...  This type of organization captures hierarchical relationships between concepts and allows for a tunable level of specificity when using the lexicon to collect measurements from a piece of text.  ...  Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the Michigan Institute for Data Science, the National  ... 
doi:10.1007/978-3-030-01129-1_28 fatcat:ddzeawch25bu5gisnwywkkrdw4

Design and Development of a Bangla Semantic Lexicon and Semantic Similarity Measure

Manjira Sinha, Tirthankar Dasgupta, Abhik Jana, Anupam Basu
2014 International Journal of Computer Applications  
In this paper, we have proposed a hierarchically organized semantic lexicon in Bangla and also a graph based edgeweighting approach to measure semantic similarity between two Bangla words.  ...  We have also developed a graphical user interface to represent the lexical organization. Our proposed lexical structure contains only relations based on semantic association.  ...  Development of the Proposed Lexicon In order to build-up a semantic relation based lexical representation Bangla; we have constructed a hierarchical conceptual graph based on the above mentioned thesaurus  ... 
doi:10.5120/16588-6297 fatcat:hyvxlze4vzdlbmnhcstyepyw2i

Mental Disorder Detection via Social Media Mining using Deep Learning

Binti Kholifah, Iwan Syarif, Tessy Badriyah
2020 Kinetik  
In this case, it takes a lexicon containing keywords that can show symptoms of depression.  ...  This study uses five criteria as a measure of mental health in a statement: sentiment, basic emotions, the use of personal pronouns, absolutist words, and negative words.  ...  This research builds a lexicon that 316 contains personal pronouns, absolutist words, and negative words. The goal is to calculate the frequency with which words appear in a lexicon.  ... 
doi:10.22219/kinetik.v5i4.1120 fatcat:hl6nozv4pbd5revclxylqxmnza

Semantic Analysis of Natural Language Queries for an Object Oriented Database

Bentamar Hemerelain, Hafida Belbachir
2010 Journal of Software Engineering and Applications  
The studied queries include one or two nominal groups (NG) articulating around a verb. A NG consists of one or several keywords (application dependent noun or value).  ...  Otherwise, if a query covers two valid NG, it is a subject of studying the semantic coherence of the verb and both NG which are attached to it.  ...  If the query covered two valid NGs with an identified verb, it is a subject of studying the semantic coherence of the verb with its arguments.  ... 
doi:10.4236/jsea.2010.311123 fatcat:riiazsovn5ea3i5ysronhtpzmu

A Gold Standard for Emotion Annotation in Stack Overflow [article]

Nicole Novielli, Fabio Calefato, Filippo Lanubile
2018 arXiv   pre-print
Our dataset contributes to the building of a shared corpus of annotated resources to support research on emotion awareness in software development.  ...  Software developers experience and share a wide range of emotions throughout a rich ecosystem of communication channels.  ...  Other dimensions of affect have also been studied. It is the case of Mäntylä et al.  ... 
arXiv:1803.02300v1 fatcat:7qxmfso6ozdmpc7qsuvzaaaeeu

Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology [article]

Yangjun Zhang, Pengjie Ren, Maarten de Rijke
2020 arXiv   pre-print
Previous studies on the topic of recognizing and classifying inappropriate content are mostly focused on a certain category of malevolence or on single sentences instead of an entire dialogue.  ...  Second, we create a labelled multi-turn dialogue dataset and formulate the MDRDC task as a hierarchical classification task over this taxonomy.  ...  In this section, we present the HMDT taxonomy and how we validate it with a user study. The Hierarchical Malevolent Dialogue Taxonomy (HMDT) 3.1.1 Methodology.  ... 
arXiv:2008.09706v1 fatcat:zipkjnxpqvfdzliccpraiaafpa

Web-page summarization using clickthrough data

Jian-Tao Sun, Dou Shen, Hua-Jun Zeng, Qiang Yang, Yuchang Lu, Zheng Chen
2005 Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR '05  
However, such methods fail to uncover the full knowledge associated with a Web page needed in building a high-quality summary, because many of these methods do not consider the hidden relationships in  ...  Our methods are evaluated on a dataset consisting of manually annotated pages as well as a large dataset that is crawled from the Open Directory Project website.  ...  In this section, we build a hierarchical lexicon using the clickthrough data and apply it to help summarize those pages.  ... 
doi:10.1145/1076034.1076070 dblp:conf/sigir/SunSZYLC05 fatcat:3cgftw43nvchxie7j2s2dhlrse

Geographical queries reformulation using a parallel association rules generator to build spatial taxonomies

Omar El Midaoui, Btihal El Ghali, Abderrahim El Qadi
2021 International Journal of Power Electronics and Drive Systems (IJPEDS)  
Geographical queries need a special process of reformulation by information retrieval systems (IRS) due to their specificities and hierarchical structure.  ...  Experiments has been conducted on Spark and their results show that query reformulation using the taxonomy constructed based on our proposed approach improves the precision and the effectiveness of the  ...  EXPERIMENTATION RESULTS To apply the proposed approach, we used a lexicon of spatial relationships, and a database of validated ASEs associated with their countries.  ... 
doi:10.11591/ijece.v11i3.pp2586-2594 fatcat:rhsxvnxh7vdxnjvisrpoe6gp6q

Detecting Suicidal Ideation in Chinese Microblogs with Psychological Lexicons [article]

Xiaolei Huang, Lei Zhang, Tianli Liu, David Chiu, Tingshao Zhu, Xin Li
2014 arXiv   pre-print
Currently, we have identified 53 known suicidal cases who posted suicide notes on Weibo prior to their deaths.We explore linguistic features of these known cases using a psychological lexicon dictionary  ...  Recently, several actual suicidal cases were preceded by users who posted microblogs with suicidal ideation to Sina Weibo, a Chinese social media network akin to Twitter.  ...  CONCLUSION & FUTURE WORK In this paper, we build a suicidal ideation detection system using psychological lexicons.  ... 
arXiv:1411.0778v1 fatcat:t5mtn36w5nbdtcq6tku3wtexnu

An emotion and cognitive based analysis of mental health disorders from social media data

Ana-Sabina Uban, Berta Chulvi, Paolo Rosso
2021 Future generations computer systems  
by finding the value that maximizes F1 on the validation sets.  ...  In a previous study [45] on the early detection of self-harm tendencies, we propose using a hierarchical neural network composed of long short-term memory (LSTM) and CNN layers, trained on social media  ...  An emotion and cognitive based analysis of mental health disorders from social media data Highlights -Hierarchical Attention Networks can detect signs of depression, anorexia, self-harm from social media  ... 
doi:10.1016/j.future.2021.05.032 fatcat:txcbxqgxm5behlomb7h56oksxu

How to play the Syntax Game

Luc Steels, Emilia Garcia-Casademont
2015 07/20/2015-07/24/2015  
We define the game and propose a particular strategy for playing it.  ...  We show that this strategy leads to the emergence of a phrase structure grammar through the collective invention, adoption, and alignment of culturally established conventions.  ...  Acknowledgments The research reported here has been funded by an ICREA Research fellowship to LS and by the EU FET-Open Insight Project and a Marie Curie Integration Grant EVOLAN.  ... 
doi:10.7551/978-0-262-33027-5-ch085 dblp:conf/ecal/SteelsC15 fatcat:4ams7yts5baermjdc2ec3grrj4

Semantic Video Indexing [chapter]

Cees G. M. Snoek, Marcel Worring, Jan-Mark Geusebroek, Dennis C. Koelma, Frank J. Seinstra, Arnold W. M. Smeulders
2007 Multimedia Retrieval  
A Case Study on Broadcast News Video Multimedia Archive We focus on news video as a case study to study the problem of generic semantic indexing.  ...  First, we introduce the broadcast news case study in Section 8.2. We highlight the data set used and elaborate on the lexicon of concepts that we index in a generic fashion.  ... 
doi:10.1007/978-3-540-72895-5_8 fatcat:6ddzaktyxngubdy3pdpn4mif74

Learning ontologies from natural language texts

Mehrnoush Shamsfard, Ahmad Abdollahzadeh Barforoush
2004 International Journal of Human-Computer Studies  
with related works according to the framework.  ...  The features of our proposed model are being domain / application independent, building ontologies upon a small primary kernel, learning words, concepts, taxonomic and non-taxonomic relations and axioms  ...  Clustering Hasti does both hierarchical and non-hierarchical clustering since the built clusters have both hierarchical and non-hierarchical relations with one another.  ... 
doi:10.1016/j.ijhcs.2003.08.001 fatcat:65xzwnfwdnedfl6hnzbepl2qda

Conceptual and Lexical Compatibility in Thesauri Used to Describe and Access Moving Image Collections

Michèle Hudon
2013 Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l'ACSI  
It was found that conceptual overlap is high enough to justify the pursuit of research and development work on a common basic indexing and access language that could be used to name categories of persons  ...  , objects, events, and relations most frequently depicted in non art moving image collections.Nous avons utilisé la méthode de comparaison terme-à-terme pour identifier divers types de relations et niveaux  ...  The few cases of multiple equivalence within one lexicon (e.g. T1Ions, T5Atoms and T5Particles) have been counted as one equivalent only.  ... 
doi:10.29173/cais324 fatcat:qx2mrfs7ozhdjmsz7mzwtjri7e

Unsupervised Genre-Based Multidomain Sentiment Lexicon Learning Using Corpus-Generated Polarity Seed Words

Swati Sanagar, Deepa Gupta
2020 IEEE Access  
An analysis of the experimental results, including a case study and a qualitative analysis, is presented in Section VIII.  ...  CASE STUDY OF SENTIMENT WORD POLARITY, POLARITY STRENGTH, AND DOMAIN-SPECIFIC DIVERGENCE ACROSS TARGET DOMAINS This case study analyzed the quality and domainindependence of the target domain sentiment  ...  Lexicon Subsets------------------------------------------------------------------------> (c) Sentiment word overlap between NRC and Our model lexicons  ... 
doi:10.1109/access.2020.3005242 fatcat:6lc5ghonnjdblljsbueok4siou
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