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Looking for the Best Historical Window for Assessing Semantic Similarity Using Human Literature

Jorge Martinez Gil
2018 Figshare  
Our research work has revealed that appropriately comparing the occurrence patterns of words in some periods of human literature can help us to accurately determine the semantic similarity between these  ...  We describe the way to get benefit from broad cultural trends through the quantitative analysis of a vast digital book collection representing the digested history of humanity.  ...  Acknowledgments We thank the reviewers for their useful comments. This work has been funded by ACEPROM (Proj. Nr. 841284) funded by the Austrian Research Promotion Agency (FFG).  ... 
doi:10.6084/m9.figshare.5765337.v1 fatcat:4t64x64izzajrfseadqwv5a2k4

Linguistic DNA: Investigating Conceptual Change in Early Modern English Discourse

Susan Fitzmaurice, Justyna A. Robinson, Marc Alexander, Iona C. Hine, Seth Mehl, Fraser Dallachy
2017 Studia Neophilologica  
We offer an empirical, encyclopaedic approach to historical semantics regarding 'conceptual history', i.e. the history of concepts that shape thought, culture and society in a particular period.  ...  We describe our principal data source, EEBO-TCP, and introduce our key research interests, namely, the contexts of conceptual change, the semantic structure of lexical fields and the nature of lexicalisation  ...  This work uses the Historical Thesaurus of English (Kay et al. 2016 ) as a dataset for lexicographical semantic categories.  ... 
doi:10.1080/00393274.2017.1333891 fatcat:pgn4ef5pb5akxel4qwsuxmwfju

Syntactic, Semantic and Sentiment Analysis: The Joint Effect on Automated Essay Evaluation

Harneet Kaur Janda, Atish Pawar, Shan Du, Vijay Mago
2019 IEEE Access  
Our proposed system incorporates not just the rule-based grammar and surface level coherence check but also includes the semantic similarity of the sentences.  ...  Semantic similarity is determined between each statement of the essay to form these Graph-based spatial relationships and novel features are obtained from it.  ...  An optimized value for the sliding window can be obtained, and the sentences which happen to fall within the window can be compared for semantic similarity to assess the value of information.  ... 
doi:10.1109/access.2019.2933354 fatcat:pl2x6er37nb6fdxsunshfiqnne

SAT Based Analogy Evaluation Framework for Persian Word Embeddings [article]

Seyyed Ehsan Mahmoudi, Mehrnoush Shamsfard
2021 arXiv   pre-print
This is important as the embedding is going to be used as the basis for downstream NLP applications and it will be costly to evaluate the application end-to-end in order to identify quality of the used  ...  parameters on the semantic evaluation task.  ...  FastText used as a representative of many methods that are used in the literature.  ... 
arXiv:2106.15674v1 fatcat:ib655uiwene6bkfzkx35xjquw4

One Hundred Years of Migration Discourse in The Times: A Discourse-Historical Word Vector Space Approach to the Construction of Meaning

Lorella Viola, Jaap Verheul
2020 Frontiers in Artificial Intelligence  
For the computational part, we use the publicly available TDA word2vec models (Kenter et al., 2015; Martinez-Ortiz et al., 2016); these models have been trained according to sliding time windows with the  ...  As a use case, we investigate the historical changes in the semantic space of public discourse of migration in the United Kingdom, and we use the Times Digital Archive (TDA) from 1900 to 2000 as dataset  ...  ACKNOWLEDGMENTS The authors sincerely thank Jonathan de Bruin for his diligent help with data visualization.  ... 
doi:10.3389/frai.2020.00064 pmid:33733181 pmcid:PMC7861341 fatcat:orjqjctqr5ffdg72xwfuweibpu

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

William L. Hamilton, Jure Leskovec, Dan Jurafsky
2016 Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)  
Using six historical corpora spanning four languages and two centuries, we propose two quantitative laws of semantic change: (i) the law of conformity-the rate of semantic change scales with an inverse  ...  We develop a robust methodology for quantifying semantic change by evaluating word embeddings (PPMI, SVD, word2vec) against known historical changes.  ...  Acknowledgments The authors thank D. Friedman, R. Sosic, C. Manning, V. Prabhakaran, and S. Todd for their helpful comments and discussions. We are also indebted to our anonymous reviewers.  ... 
doi:10.18653/v1/p16-1141 dblp:conf/acl/HamiltonLJ16 fatcat:t2wlzjfpq5bibgyabl7mso2dm4

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change [article]

William L. Hamilton, Jure Leskovec, Dan Jurafsky
2018 arXiv   pre-print
Using six historical corpora spanning four languages and two centuries, we propose two quantitative laws of semantic change: (i) the law of conformity---the rate of semantic change scales with an inverse  ...  We develop a robust methodology for quantifying semantic change by evaluating word embeddings (PPMI, SVD, word2vec) against known historical changes.  ...  Acknowledgments The authors thank D. Friedman, R. Sosic, C. Manning, V. Prabhakaran, and S. Todd for their helpful comments and discussions. We also thank S.  ... 
arXiv:1605.09096v6 fatcat:dgogda6zdbculjefpbk6yo6ynm

Aipv Visual Assessment For Architecture Retrofitting

Xu, Ran (Autor/in), Wittkopf, Stephen (Co-Autor/in)
2013 Zenodo  
Now it is vastly used on aesthetic assessment for wind farms being built on open landscapes all over the world.  ...  The visual impact assessment is a method mainly used in landscape design for evaluating the influence manmade changes caused on natural landscape.  ...  The ratio between window and wall ratio, or between the reflective and antireflective surfaces should be cautiously arranged, e.g. for historical architectures, it is the best to keep the ratio as original  ... 
doi:10.5281/zenodo.545811 fatcat:p7fekc3wdnbhxb7c25t6zxek2q

Towards NLP-supported Semantic Data Management [article]

Andreas Burgdorf and André Pomp and Tobias Meisen
2020 arXiv   pre-print
Finally, we will use the created ontology and automatically identified semantic models to either rate descriptions for new data sources or even to automatically generate descriptive texts that are easier  ...  We will use automatically identified models in combination with the human data provider to automatically extend the ontology so that it learns new verified concepts over time.  ...  This semantic meaning should at best be comprehensible to both the computer and the human.  ... 
arXiv:2005.06916v1 fatcat:ts2byn42x5dntjthhmye52x5za

Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19 [article]

James Powell, Kari Sentz
2021 arXiv   pre-print
SARS-COV-2 virus to invade human cells.  ...  This study identified existing candidate coronavirus treatments, including drugs and approved compounds, which had been analyzed and ranked according to their potential for blocking the ability of the  ...  For COVID-19, this can include literature dating back to the emergence of SARS-COV-1 in 2003, as well as other coronaviruses that cause illness in humans.  ... 
arXiv:2110.13971v1 fatcat:rliynfioozez7p4dqzlobp65pa

Forecasting the Spreading of Technologies in Research Communities

Francesco Osborne, Andrea Mannocci, Enrico Motta
2017 Proceedings of the Knowledge Capture Conference on - K-CAP 2017  
For example, Semantic Web technologies have been successfully adopted by a variety of fields, e.g., Information Retrieval, Human Computer Interaction, Biology, and many others.  ...  To do so, we propose the Technology-Topic Framework, a novel approach which uses a semantically enhanced technology-topic model to forecast the propagation of technologies to research areas.  ...  ACKNOWLEDGMENTS We thank Elsevier BV for providing us a Scopus dump.  ... 
doi:10.1145/3148011.3148030 dblp:conf/kcap/OsborneMM17 fatcat:dumufzw3jbbeve26xg3ltvpjc4

Symbolist Publicism as an Outlook Model of the Silver Age

Mykola Rashkevych
2018 Social Communication  
The relevance of the topic is due to the crisis of modern publicism, which becomes similar to a product and leads to mental and moral enslavement.  ...  The subject of the research is the argumentative basis and semantic resources of public statements of philosophers and writers, i.e. the representatives of Russian symbolism.  ...  Kham for Merezhkovsky is both a particular historical-political threat and the deepening of the cultural crisis and the traditional humanism decline, both the phenomenon of middle social class degradation  ... 
doi:10.2478/sc-2018-0004 fatcat:bsfcxiybarcx7ptuscell2plnu

An evaluative baseline for geo-semantic relatedness and similarity

Andrea Ballatore, Michela Bertolotto, David C. Wilson
2014 Geoinformatica  
By contrast, the role of geo-semantic relatedness has been largely ignored. In natural language processing, semantic relatedness is often confused with the more specific semantic similarity.  ...  GeReSiD is available online and can be used as an evaluation baseline to determine empirically to what degree a given computational model approximates geo-semantic relatedness and similarity.  ...  The authors gratefully acknowledge this support.  ... 
doi:10.1007/s10707-013-0197-8 fatcat:lqm6wuphezenfggag3eekk67ge

From simple associations to the building blocks of language: Modeling meaning in memory with the HAL model

Curt Burgess
1998 Behavoir research methods, instruments & computers  
This encoding is the basis for the formation of meaning representations in a high-dimensional context space.  ...  The approach is implemented in the hyperspace analogue to language (HAL) model of memory, which uses a simple global co-occurrence learning algorithm to encode the context in which words occur.  ...  HAVs word vectors were also shown to be able to provide for the semantic categorization ofa set ofnouns (Figure 2) , again with a result similar to that ofa human faced with the same task.  ... 
doi:10.3758/bf03200643 fatcat:ekjojtdz7fd6bmilio6tduu234

Semantic text mining in early drug discovery for type 2 diabetes

Lena K Hansson, Rasmus Borup Hansen, Sune Pletscher-Frankild, Rudolfs Berzins, Daniel Hvidberg Hansen, Dennis Madsen, Sten B Christensen, Malene Revsbech Christiansen, Ulrika Boulund, Xenia Asbæk Wolf, Sonny Kim Kjærulff, Martijn van de Bunt (+4 others)
2020 PLoS ONE  
Furthermore, the historical distribution of changes in rank from one week to the next was used to calculate the significance of a change in rank by T2D relevance for each protein.  ...  Surveying the scientific literature is an important part of early drug discovery; and with the ever-increasing amount of biomedical publications it is imperative to focus on the most interesting articles  ...  Acknowledgments The authors would like to thank Luis Ayala for help with preparing the figures.  ... 
doi:10.1371/journal.pone.0233956 pmid:32542027 pmcid:PMC7295186 fatcat:sftzxqxnjratpexcl2rtrzacya
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