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Dissertations / Theses on the topic 'BERA language'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Lee, Jin Kook. "Building environment rule and analysis (BERA) language and its application for evaluating building circulation and spatial program." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/39482.

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This study aims to design and implement a domain-specific computer programming language: the Building Environment Rule and Analysis (BERA) Language. As a result of the growing area of Building Information Modeling (BIM), there has been a need to develop highly customized domain-specific programming languages for handling issues in building models in the architecture, engineering and construction (AEC) industry. The BERA Language attempts to deal with building information models in an intuitive way in order to define and analyze rules in design stages. The application of the BERA Language aims

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2

Jansson, Herman. "Low-resource Language Question Answering Systemwith BERT." Thesis, Mittuniversitetet, Institutionen för informationssystem och –teknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42317.

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The complexity for being at the forefront regarding information retrieval systems are constantly increasing. Recent technology of natural language processing called BERT has reached superhuman performance in high resource languages for reading comprehension tasks. However, several researchers has stated that multilingual model’s are not enough for low-resource languages, since they are lacking a thorough understanding of those languages. Recently, a Swedish pre-trained BERT model has been introduced which is trained on significantly more Swedish data than the multilingual models currently avai

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3

Casula, Camilla. "Transfer Learning for Multilingual Offensive Language Detection with BERT." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412450.

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The popularity of social media platforms has led to an increase in user-generated content being posted on the Internet. Users, masked behind what they perceive as anonymity, can express offensive and hateful thoughts on these platforms, creating a need to detect and filter abusive content. Since the amount of data available on the Internet is impossible to analyze manually, automatic tools are the most effective choice for detecting offensive and abusive messages. Academic research on the detection of offensive language on social media has been on the rise in recent years, with more and more s

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4

Cirrincione, Alessandra. "Brás, Bexiga/ Bela Vista, Barra Funda: estudo antropotoponímico." Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/8/8139/tde-28062011-154750/.

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Este trabalho se insere no projeto Atlas das Cidades da Profa. Dra. Maria Vicentina de Paula do Amaral Dick. A pesquisa visa identificar as motivações dos denominadores dos logradouros públicos do Brás, do Bexiga/Bela Vista e da Barra Funda da proclamação da Primeira República (1889) até 1926. A análise dos topônimos no período indicado comporta inúmeras referências aos anos anteriores a 1889, que ajudam na reconstrução, em retrospectiva, da história do progressivo desenvolvimento de antigas sesmarias, chácaras, sítios e várzeas alagadiças, localizadas em áreas periféricas em relação ao centro

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Khidir, Zakaria Fadoul. "Lexique des plantes connues des Beri du Tchad." Universität Leipzig, 1999. https://ul.qucosa.de/id/qucosa%3A33563.

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L’établissement d’un lexique dans le règne des végétaux et dans le contexte spécifique de la communauté des Beri constitue un élément important offrant un certain nombre d’informations linguistiques, culturelles, scientifiques ou techniques.

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6

Anika, Trudić. "Fenotipsko i genotipsko dokazivanje karbapenemaza kod multirezistentnih sojeva Escherichia coli i Klebsiella pneumoniae." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=101413&source=NDLTD&language=en.

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Escherichia coli i Klebsiella pneumoniae su među najznačajnijim uzročnicima infekcija kod ljudi. Problem predstavljaju multirezistentni sojevi koji se javljaju ne samo u bolničkom nego i u vanbolničkom okruženju. Karbapenemi, beta-laktami sa naj&scaron;irim spektrom delovanja, spadaju u lekove poslednje linije odbrane. Rezistencija na karbapeneme među enterobakterijama je u porastu &scaron;irom sveta. Može nastati usled prisustva karbapenemaza, enzima koji degradiraju karbapeneme, ili usled hiperprodukcije AmpC cefalosporinaza ili beta-laktamaza pro&scaron;irenog spektra uz gubitak porina. Gen

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7

Czekelius, Annette R. "Artistry and effectiveness in language use : the evaluation of ways of speaking among the Berba of Benin." Thesis, SOAS, University of London, 1999. http://eprints.soas.ac.uk/28502/.

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This study is about artful speech and the politics of language use among the Berba, a small ethnic group of northern Benin. Despite their integration into a nation state, Berba can still be regarded as an essentially segmentary society. One of the most remarkable features of Berba culture is their highly developed verbal art, not only as regards the wide range of speech genres, but also the sophistication by which local critics assess generic properties and discuss notions of quality and verbal skill. In the investigation I examine three speech genres, namely political language, storytelling a

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8

Zhang, Yifei. "The Influence of M-BERT and Sizes on the Choice of Transfer Languages in Parsing." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446094.

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In this thesis, we explore the impact of M-BERT and different transfer sizes on the choice of different transfer languages in dependency parsing. In order to investigate our research questions, we conduct a series of experiments on the treebanks in Universal Dependencies with UUParser. The main conclusions and contributions of this study are as follows: First, we train a variety of languages in several different scripts with M-BERT being added into the parsing framework, which is one of the most state-of-the-art deep learning models based on the Transformer architecture. In general, we g

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Holm, Henrik. "Bidirectional Encoder Representations from Transformers (BERT) for Question Answering in the Telecom Domain. : Adapting a BERT-like language model to the telecom domain using the ELECTRA pre-training approach." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-301313.

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The Natural Language Processing (NLP) research area has seen notable advancements in recent years, one being the ELECTRA model which improves the sample efficiency of BERT pre-training by introducing a discriminative pre-training approach. Most publicly available language models are trained on general-domain datasets. Thus, research is lacking for niche domains with domain-specific vocabulary. In this paper, the process of adapting a BERT-like model to the telecom domain is investigated. For efficiency in training the model, the ELECTRA approach is selected. For measuring target- domain perfor

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10

Eros, Paul James. ""One of the most penetrating minds in England" : Gerald Heard and the British intelligentsia of the Interwar period." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:44445caf-be0a-49e2-bd51-ebed4d33225c.

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Gerald Heard (1889-1971) was an influential figure among the intelligentsia of the 1930s, once described by E.M. Forster as “one of the most penetrating minds in England.” However, he remains an ill-defined footnote, a marginal figure whose influence and reputation, although acknowledged, remains unexamined. This dissertation examines his life and work, and considers the role which Heard, as a generaliser and public intellectual, played in the intellectual landscape of the 1930s. Central to Heard’s philosophy was a belief that society was in need of a spiritual and psychological force which co

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Bridal, Olle. "Named-entity recognition with BERT for anonymization of medical records." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176547.

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Sharing data is an important part of the progress of science in many fields. In the largely deep learning dominated field of natural language processing, textual resources are in high demand. In certain domains, such as that of medical records, the sharing of data is limited by ethical and legal restrictions and therefore requires anonymization. The process of manual anonymization is tedious and expensive, thus automated anonymization is of great value. Since medical records consist of unstructured text, pieces of sensitive information have to be identified in order to be masked for anonymizat

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Luo, Ziyang. "Analyzing the Anisotropy Phenomenon in Transformer-based Masked Language Models." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-445537.

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In this thesis, we examine the anisotropy phenomenon in popular masked language models, BERT and RoBERTa, in detail. We propose a possible explanation for this unreasonable phenomenon. First, we demonstrate that the contextualized word vectors derived from pretrained masked language model-based encoders share a common, perhaps undesirable pattern across layers. Namely, we find cases of persistent outlier neurons within BERT and RoBERTa's hidden state vectors that consistently bear the smallest or largest values in said vectors. In an attempt to investigate the source of this information, we in

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Aleksandra, Fejsa Levakov. "Ekspresija estrogenog receptora β u prekanceroznim lezijama i adenokarcinomu prostate". Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=99993&source=NDLTD&language=en.

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Adenokarcinom prostate (PCa) je najče&scaron;ći karcinom u mu&scaron;karaca. Intraepitelne prostatične neoplazme visokog gradusa (HGPIN) su lezije koje prethode nastanku invazivnog karcinoma i podrazumevaju kompletno odsustvo bazalnih ćelija i invaziju strome malignim acinusima. Estrogeni receptor β (ERβ) se nalazi u jedrima bazalnih i sekretornih ćelija acinusa i delimično u stromalnim ćelijama. Cilj istraživanja je da prikaže i lokalizuje ERβ u različitim morfolo&scaron;kim lezijama prostate: hiperplaziji (BHP), PINu i u PCa sa različitim Gleason scorom. Pretpostavlja se da pr

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Roos, Daniel. "Evaluation of BERT-like models for small scale ad-hoc information retrieval." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177675.

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Measuring semantic similarity between two sentences is an ongoing research field with big leaps being taken every year. This thesis looks at using modern methods of semantic similarity measurement for an ad-hoc information retrieval (IR) system. The main challenge tackled was answering the question "What happens when you don’t have situation-specific data?". Using encoder-based transformer architectures pioneered by Devlin et al., which excel at fine-tuning to situationally specific domains, this thesis shows just how well the presented methodology can work and makes recommendations for future

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15

Delgadillo, Manuel. "Traces of the Dark Sublime in William Faulkner's "The Bear," Light in August, and Absalom, Absalom!" FIU Digital Commons, 2013. http://digitalcommons.fiu.edu/etd/990.

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The purpose of this thesis is to explore William Faulkner’s paradoxical modernist aesthetic. While his writings evince primal, earthy, and post-Civil War angst-ridden qualities, Faulkner’s narratives are also found to be hyper-postmodern. Using Jacques Derrida’s theories on the absent-present trace, I will show how certain micromoments in three of Faulkner’s texts showcase the “trace” forming a pathway to the inaccessible and unattainable sublime. I will use “trace” and general theories of the “sublime” as methodological tools to explore Faulkner’s narrative of pastoral loss, the cultural inst

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16

Zouari, Hend. "French AXA Insurance Word Embeddings : Effects of Fine-tuning BERT and Camembert on AXA France’s data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-284108.

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We explore in this study the different Natural Language Processing state-of-the art technologies that allow transforming textual data into numerical representation. We go through the theory of the existing traditional methods as well as the most recent ones. This thesis focuses on the recent advances in Natural Language processing being developed upon the Transfer model. One of the most relevant innovations was the release of a deep bidirectional encoder called BERT that broke several state of the art results. BERT utilises Transfer Learning to improve modelling language dependencies in text.

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Wallner, Vanja. "Mapping medical expressions to MedDRA using Natural Language Processing." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-426916.

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Pharmacovigilance, also referred to as drug safety, is an important science for identifying risks related to medicine intake. Side effects of medicine can be caused by for example interactions, high dosage and misuse. In order to find patterns in what causes the unwanted effects, information needs to be gathered and mapped to predefined terms. This mapping is today done manually by experts which can be a very difficult and time consuming task. In this thesis the aim is to automate the process of mapping side effects by using machine learning techniques. The model was developed using informatio

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18

Ivana, Stojković. "Optimizacija tečnog scintilacionog spektrometra za ispitivanje alfa i beta emitera u vodama." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=95552&source=NDLTD&language=en.

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U disertaciji je izvr&scaron;ena optimizacija detektorskog IZ   sistema Quantulus 1220<sup>TM</sup> radi razvoja metoda za određivanje pojedinačnih radionuklida <sup>3</sup>H,<sup> 222</sup>Rn i<sup> 90</sup>Sr, kao i ukupne alfa/beta aktivnosti u vodama. Predstavljeni su eksperimenti u svrhu kalibracije sistema, istraživanja uticaja relevantnih parametara na rezultate određivanja aktivnosti alfa i beta emitera, i pode&scaron;avanja optimalnih vrednosti ovih parametara. Posebna pažnja je posvećena variranju  PSA diskriminatora, odnosno pode&scaron;avanju analizatora oblika

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Vladimir, Vukić. "Predviđanje trodimenzionalne strukture i karakterizacija aktivnog mesta odabranih beta-galatkozidaza." Phd thesis, Univerzitet u Novom Sadu, Prirodno-matematički fakultet u Novom Sadu, 2015. https://www.cris.uns.ac.rs/record.jsf?recordId=94954&source=NDLTD&language=en.

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Proteini imaju osnovnu ulogu u  životnim procesima, usled čega je isptivanje raznovrsnosti njihove strukture jedna od ključnih potreba modernih biolo&scaron;kih istraživanja. Cilj ove doktorske disertacije je predviđanje trodimenzionalne strukture beta-galaktozidaza odabranih bakterijskih sojeva (<em>Streptococcus thermophillus,  Lactobacillus acidophilus</em>,  i <em>Bifidobacterium animalis</em>  ssp.  <em>lactis</em>) kao i karakterizacija  njihovih aktivnih mesta i određivanje aktivnih rezdua. Takođe, cilj&nbsp

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Wenestam, Arvid. "Labelling factual information in legal cases using fine-tuned BERT models." Thesis, Uppsala universitet, Statistiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447230.

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Labelling factual information on the token level in legal cases requires legal expertise and is time-consuming. This thesis proposes transfer-learning and fine-tuning implementation of pre-trained state-of-the-art BERT models to perform this labelling task. Investigations are done to compare whether models pre-trained on solely legal corpus outperforms a generic corps trained BERT and the model’s behaviour as the number of cases in the training sample varies. This work showed that the models metric scores are stable and on par using 40-60 professionally annotated cases as opposed to using the

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Marzo, i. Grimalt Núria. "Natural Language Processing Model for Log Analysis to Retrieve Solutions For Troubleshooting Processes." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-300042.

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In the telecommunications industry, one of the most time-consuming tasks is troubleshooting and the resolution of Trouble Report (TR) tickets. This task involves the understanding of textual data which can be challenging due to its domain- and company-specific features. The text contains many abbreviations, typos, tables as well as numerical information. This work tries to solve the issue of retrieving solutions for new troubleshooting reports in an automated way by using a Natural Language Processing (NLP) model, in particular Bidirectional Encoder Representations from Transformers (BERT)- ba

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Bojana, Dinić. "Efekti dispozicionih i situacionih činilaca na agresivno ponašanje." Phd thesis, Univerzitet u Novom Sadu, Filozofski fakultet u Novom Sadu, 2014. https://www.cris.uns.ac.rs/record.jsf?recordId=90185&source=NDLTD&language=en.

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<p>U ovom radu testirane su pretpostavke Op&scaron;teg modela agresije o činiocima koji utiču na javljanje agresivnog pona&scaron;anja. Osnovni cilj istraživanja bio je ispitivanje efekata osobina ličnosti i nivoa situacione provokacije na agresivno pona&scaron;anje. Pri tome, ispitivao se i njihov efekat na pristrasnosti u pažnji i emocionalno stanje, koji predstavljaju važne činioce u oblikovanju agresije. Na uzorku od 226 studenata primenjeni su inventar ličnosti HEXACO–PI–R i upitnik agresivnosti BODH. Nekoliko nedelja nakon popunjavanja upitnika, ispitanici su učestovali u tak

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Efes, Stergios. "Zero-shot, One Kill: BERT for Neural Information Retrieval." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-444835.

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[Background]: The advent of bidirectional encoder representation from trans- formers (BERT) language models (Devlin et al., 2018) and MS Marco, a large scale human-annotated dataset for machine reading comprehension (Bajaj et al., 2016) that made publicly available, led the field of information retrieval (IR) to experience a revolution (Lin et al., 2020). The retrieval model based on BERT of Nogueira and Cho (2019), by the time they published their paper, became the top entry in the MS Marco passage-reranking leaderboard, surpassing the previous state of the art by 27% in MRR@10. However, trai

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Marina, Putnik-Delić. "Fiziološki i molekularni aspekti tolerantnosti šećerne repe prema suši." Phd thesis, Univerzitet u Novom Sadu, Poljoprivredni fakultet u Novom Sadu, 2013. https://www.cris.uns.ac.rs/record.jsf?recordId=95411&source=NDLTD&language=en.

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<p>Istraživanja su sprovedena na jedanaest genotipova &scaron;ećerne repe (Beta vulgaris ssp. vulgaris, L., označeni brojevima 1-11) koji su u poljskim uslovima ispoljili razlike u opservacionom testu nivoa tolerantnosti prema su&scaron;i (visoko, srednje i nisko tolerantni). U prvom delu eksperimenta biljke su gajene u polukontrolisanim uslovima, u stakleniku u supstratu koji je bio me&scaron;avina zemlje i peska. Biljke su svakodnevno zalivane tokom 90 dana, nakon čega je izazvan vodni deficit prestankom zalivanja, dok je kod kontrolnih biljaka zalivanje nastavljeno. Pet dana po prestanku za

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Reichhardt, Ricardo. "Experimentações da fotografia contemporânea nas redes da criação de Rodrigo Braga, Nino Cais e Berna Reale." Pontifícia Universidade Católica de São Paulo, 2016. https://tede2.pucsp.br/handle/handle/19114.

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Submitted by Filipe dos Santos (fsantos@pucsp.br) on 2016-09-28T17:30:48Z No. of bitstreams: 1 Ricardo Reichhardt.pdf: 25441099 bytes, checksum: 00d4ee40833678c5e937764c7145f75c (MD5)<br>Made available in DSpace on 2016-09-28T17:30:48Z (GMT). No. of bitstreams: 1 Ricardo Reichhardt.pdf: 25441099 bytes, checksum: 00d4ee40833678c5e937764c7145f75c (MD5) Previous issue date: 2016-06-22<br>The objective of this dissertation is a reflection about the moment of contemporary experimentation which artists make use of language interaction and the critic about its comunicative aspects, and the fo

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Fulda, Nancy Ellen. "Semantically Aligned Sentence-Level Embeddings for Agent Autonomy and Natural Language Understanding." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/7550.

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Many applications of neural linguistic models rely on their use as pre-trained features for downstream tasks such as dialog modeling, machine translation, and question answering. This work presents an alternate paradigm: Rather than treating linguistic embeddings as input features, we treat them as common sense knowledge repositories that can be queried using simple mathematical operations within the embedding space, without the need for additional training. Because current state-of-the-art embedding models were not optimized for this purpose, this work presents a novel embedding model designe

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Lindblad, Maria. "A Comparative Study of the Quality between Formality Style Transfer of Sentences in Swedish and English, leveraging the BERT model." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-299932.

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Formality Style Transfer (FST) is the task of automatically transforming a piece of text from one level of formality to another. Previous research has investigated different methods of performing FST on text in English, but at the time of this project there were to the author’s knowledge no previous studies analysing the quality of FST on text in Swedish. The purpose of this thesis was to investigate how a model trained for FST in Swedish performs. This was done by comparing the quality of a model trained on text in Swedish for FST, to an equivalent model trained on text in English for FST. Bo

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Mozafari, Marzieh. "Hate speech and offensive language detection using transfer learning approaches." Electronic Thesis or Diss., Institut polytechnique de Paris, 2021. http://www.theses.fr/2021IPPAS007.

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Une des promesses des plateformes de réseaux sociaux (comme Twitter et Facebook) est de fournir un endroit sûr pour que les utilisateurs puissent partager leurs opinions et des informations. Cependant, l’augmentation des comportements abusifs, comme le harcèlement en ligne ou la présence de discours de haine, est bien réelle. Dans cette thèse, nous nous concentrons sur le discours de haine, l'un des phénomènes les plus préoccupants concernant les réseaux sociaux.Compte tenu de sa forte progression et de ses graves effets négatifs, les institutions, les plateformes de réseaux sociaux et les che

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Borggren, Lukas. "Automatic Categorization of News Articles With Contextualized Language Models." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-177004.

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This thesis investigates how pre-trained contextualized language models can be adapted for multi-label text classification of Swedish news articles. Various classifiers are built on pre-trained BERT and ELECTRA models, exploring global and local classifier approaches. Furthermore, the effects of domain specialization, using additional metadata features and model compression are investigated. Several hundred thousand news articles are gathered to create unlabeled and labeled datasets for pre-training and fine-tuning, respectively. The findings show that a local classifier approach is superior t

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Sanja, Hromiš. "Procena efikasnosti kombinovane antiinflamatorne terapije u postizanju dobre kontrole astme u zavisnosti od navike pušenja." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2016. http://www.cris.uns.ac.rs/record.jsf?recordId=95463&source=NDLTD&language=en.

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Uvod: Pu&scaron;enje predstavlja jedan od najznačajnijih uzroka lo&scaron;e kontrole astme, zbog iritativnog dejstva duvanskog dima na disajne puteve i razvoja rezistencije na inhalatorne kortikosteroide. Stoga je pu&scaron;ače sa astmom često potrebno lečiti kombinovanom antiinflamatornom terapijom, iako je efikasnost ovakvog tretmana jo&scaron; uvek nedovoljno ispitana. Cilj: utvrditi efikasnost kombinovane antiinflamatorne terapije: inhalatorni kortikosteroidi (ICS) u kombinaciji sa dugodelujućim beta2-adrenergičkim agonistima (DDBA) u odnosu na ICS u kombinaciji sa antagonistima leukotrije

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Johansson, Oskar. "Parafrasidentifiering med maskinklassificerad data : utvärdering av olika metoder." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167039.

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Detta arbete undersöker hur språkmodellen BERT och en MaLSTM-arkitektur fungerar att för att identifiera parafraser ur 'Microsoft Paraphrase Research Corpus' (MPRC) om dessa tränats på automatiskt identifierade parafraser ur 'Paraphrase Database' (PPDB). Metoderna ställs mot varandra för att undersöka vilken som presterar bäst och metoden att träna på maskinklassificerad data för att användas på mänskligt klassificerad data utvärderas i förhållande till annan klassificering av samma dataset. Meningsparen som används för att träna modellerna hämtas från de högst rankade parafraserna ur PPDB och

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Tijana, Vujanić Stankov. "Neuropsihloški korelati mikrostrukturnih promena mozga utvrđenih metodom magnetne rezonance kod obolelih od blagog kognitivnog poremećaja i Alchajmerove bolesti." Phd thesis, Univerzitet u Novom Sadu, Medicinski fakultet u Novom Sadu, 2019. https://www.cris.uns.ac.rs/record.jsf?recordId=111008&source=NDLTD&language=en.

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Alchajmerova bolest je najče&scaron;ća demencija od svih demencija i karakteri&scaron;e je depozicija senilinih plakova i neurofibrilarnih klubadi u kortikalnim moždanim regionima, koje daljim razvojem bolesti postaju atrofične. Klinički se karakteri&scaron;e smetnjma na planu pamćenja, egzekutivnih funkcija, pažnje i ostalih kognitivnih funkcija uz odustsvo sposobnosti samostalnog funkcionisanja u svakodnevnom životu. Blagi kognitivni poremeća (BKP) je klinički entitet koji se smatra početnim stadijumom demencije u kom se registruju smetnje na planu pamćenja, ali i drugih kognitvnih funkcija,

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Bin, Hassan Hussin Omrah. "Etude comparative des verbes supports faire, donner et prendre - buat/membuat, beri/memberi et ambi/memgambil en français en français et en malais." Thesis, Paris 4, 2009. http://www.theses.fr/2009PA040076/document.

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Cette thèse propose une étude comparative de trois verbes supports, faire/membuat, donner/memberi et prendre/mengambil en français et en malais. La méthode utilisée est celle du Lexique-Grammaire de Maurice Gross et celle de la théorie de l’Analyse Matricielle Définitoire d’Amr Helmy Ibrahim. Notre objectif est de décrire les propriétés formelles des phrases à verbes supports en français et en malais et de les comparer du point de vue syntaxique et sémantique. Nous avons appliqué quatre tests de reconnaissance du verbe support afin de déterminer le statut de ces trois verbes dans les construct

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Navér, Norah. "The past, present or future? : A comparative NLP study of Naive Bayes, LSTM and BERT for classifying Swedish sentences based on their tense." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-446793.

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Natural language processing is a field in computer science that is becoming increasingly important. One important part of NLP is the ability to sort text to the past, present or future, depending on when the event came or will come about. The objective of this thesis was to use text classification to classify Swedish sentences based on their tense, either past, present or future. Furthermore, the objective was also to compare how lemmatisation would affect the performance of the models. The problem was tackled by implementing three machine learning models on both lemmatised and not lemmatised

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Hwang, Jae Woong. "OODSF : an object-oriented data specification framework in a heterogeneous computing environment /." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-02132009-172449/.

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Mann, Jasleen Kaur. "Semantic Topic Modeling and Trend Analysis." Thesis, Linköpings universitet, Statistik och maskininlärning, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-173924.

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This thesis focuses on finding an end-to-end unsupervised solution to solve a two-step problem of extracting semantically meaningful topics and trend analysis of these topics from a large temporal text corpus. To achieve this, the focus is on using the latest develop- ments in Natural Language Processing (NLP) related to pre-trained language models like Google’s Bidirectional Encoder Representations for Transformers (BERT) and other BERT based models. These transformer-based pre-trained language models provide word and sentence embeddings based on the context of the words. The results are then

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Lechner, Simone [Verfasser], and Thomas [Akademischer Betreuer] Berg. "Second Language Acquisition of Demonstratives : A cross-linguistic, multi-directional study of L1 English, L1 German and L1 Japanese learners of L2 German, L2 English and L2 Japanese / Simone Lechner ; Betreuer: Thomas Berg." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2020. http://d-nb.info/1215292465/34.

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Oriti, Taylor. "Narrative Abilities in Preschool Children with Childhood Apraxia of Speech, Speech Sound Disorder, and Language Impairment." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1586948079666208.

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Lenas, Erik. "Prerequisites for Extracting Entity Relations from Swedish Texts." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281275.

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Natural language processing (NLP) is a vibrant area of research with many practical applications today like sentiment analyses, text labeling, questioning an- swering, machine translation and automatic text summarizing. At the moment, research is mainly focused on the English language, although many other lan- guages are trying to catch up. This work focuses on an area within NLP called information extraction, and more specifically on relation extraction, that is, to ex- tract relations between entities in a text. What this work aims at is to use machine learning techniques to build a Swedish

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Holmer, Daniel. "Context matters : Classifying Swedish texts using BERT's deep bidirectional word embeddings." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166304.

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When classifying texts using a linear classifier, the texts are commonly represented as feature vectors. Previous methods to represent features as vectors have been unable to capture the context of individual words in the texts, in theory leading to a poor representation of natural language. Bidirectional Encoder Representations from Transformers (BERT), uses a multi-headed self-attention mechanism to create deep bidirectional feature representations, able to model the whole context of all words in a sequence. A BERT model uses a transfer learning approach, where it is pre-trained on a large a

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Karamolegkou, Antonia. "Argument Mining: Claim Annotation, Identification, Verification." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-448855.

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Researchers writing scientific articles summarize their work in the abstracts mentioning the final outcome of their study. Argumentation mining can be used to extract the claim of the researchers as well as the evidence that could support their claim. The rapid growth of scientific articles demands automated tools that could help in the detection and evaluation of the scientific claims’ veracity. However, there are neither a lot of studies focusing on claim identification and verification neither a lot of annotated corpora available to effectively train deep learning models. For this reason, w

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Dürlich, Luise. "Automatic Recognition and Classification of Translation Errors in Human Translation." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420289.

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Grading assignments is a time-consuming part of teaching translation. Automatic tools that facilitate this task would allow teachers of professional translation to focus more on other aspects of their job. Within Natural Language Processing, error recognitionhas not been studied for human translation in particular. This thesis is a first attempt at both error recognition and classification with both mono- and bilingual models. BERT– a pre-trained monolingual language model – and NuQE – a model adapted from the field of Quality Estimation for Machine Translation – are trained on a relatively sm

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Bider, Mary Kay. "Teamwork and place-based curriculum and instruction in teaching English to speakers of other languages." CSUSB ScholarWorks, 2002. https://scholarworks.lib.csusb.edu/etd-project/2268.

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The purpose of this project is to apply the theories of John Dewey's experiential learning, providing the foundation of place-based curriculum incorporating community investigation, outdoor education, and project-based learning into an EFL curriculum.

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Loobuyck, Ugo. "Constructiveness-Based Product Review Classification." Thesis, Uppsala universitet, Institutionen för lingvistik och filologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-412330.

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Promoting constructiveness in online comment sections is an essential step to make the internet a more productive place. On online marketplaces, customers often have the opportunity to voice their opinion and relate their experience with a given product. In this thesis, we investigate the possibility to model constructiveness in product review in order to promote the most informative and argumentative customer feedback. We develop a new constructiveness 4-class scale taxonomy based on heuristics and specific categorical criteria. We use this taxonomy to annotate 4000 Amazon customer reviews as

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Aljic, Almir, and Theodor Kraft. "Contextualising government reports using Named Entity Recognition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281835.

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The science of making a computer understand text and process it, natural language processing, is a topic of great interest among researchers. This study aims to further that research by comparing the BERT algorithm and classic logistic regression when identifying names of public organizations. The results show that BERT outperforms its competitor in the task from the data which consisted of public state inquiries and reports. Furthermore a literature study was conducted as a way of exploring how a system for NER can be implemented into the management of an organization. The study found that th

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Persson, Fabian. "Building a Medical Recommendation System : A case study on digitalizing evidence-based radiology." Thesis, Uppsala universitet, Avdelningen för systemteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415574.

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In this thesis, we show how a text-based Recommendation Systems can greatly benefit from neural statistical language models, more particularly BERT. We evaluate the framework on a digital and collaborative platform for radiologists, by automatically suggesting scientific papers from the medical database PubMed, to provide evidence in diagnostic radiology. The models use contextualized vectors to represent text, accounting for writing style, misspelling and jargon. By using pre-computed representations of text passages, we are able to use compute-heavy statistical language models in production

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Pàmies, Massip Marc. "Multilingual identification of offensive content in social media." Thesis, Linköpings universitet, Artificiell intelligens och integrerade datorsystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167381.

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In today’s society there is a large number of social media users that are free to express their opinion on shared platforms. The socio-cultural differences between the people behind those accounts (in terms of ethnicity, gender, sexual orientation, religion, politics, . . . ) give rise to an important percentage of online discussions that make use of offensive language, which often affects in a negative way the psychological well-being of the victims. In order to address the problem, the endless stream of user-generated content engenders a need to find an accurate and scalable solution to dete

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Monsen, Julius. "Building high-quality datasets for abstractive text summarization : A filtering‐based method applied on Swedish news articles." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176352.

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With an increasing amount of information on the internet, automatic text summarization could potentially make content more readily available for a larger variety of people. Training and evaluating text summarization models require datasets of sufficient size and quality. Today, most such datasets are in English, and for minor languages such as Swedish, it is not easy to obtain corresponding datasets with handwritten summaries. This thesis proposes methods for compiling high-quality datasets suitable for abstractive summarization from a large amount of noisy data through characterization and fi

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Sutton, Mathew D. "The Beat of Time and the Melody: The Soundscape of The Golden Apples." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etsu-works/7832.

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Sileo, Damien. "Représentations sémantiques et discursives pour la compréhension automatique du langage naturel." Thesis, Toulouse 3, 2019. http://www.theses.fr/2019TOU30201.

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Les modèles computationnels pour la compréhension automatique des textes ont suscité un vif intérêt en raison de gains de performances inhabituels au cours des dernières années, certains d'entre eux conduisant à des scores d'évaluation surhumains. Ce succès a conduit à affirmer la création de représentations universelles de phrases. Dans cette thèse, nous questionnons cette affirmation au travers de deux angles complémentaires. Premièrement, les réseaux de neurones et les représentations vectorielles sont-ils suffisamment expressifs pour traiter du texte de sorte à pouvoir effectuer un large é

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