Academic literature on the topic 'BERA language'

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Journal articles on the topic "BERA language"

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Iraola Azpiroz, Maialen, Mikel Santesteban, Antonella Sorace, and Maria-José Ezeizabarrena. "Pronoun preferences of children in a language without typical third-person pronouns." First Language 37, no. 2 (2016): 168–85. http://dx.doi.org/10.1177/0142723716679799.

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This study presents comprehension data from 6–7-and 8–10-year-old children as well as adults on the acceptability of null vs overt anaphoric forms (the demonstrative hura ‘that’ and the quasipronoun bera ‘(s)he, him-/herself’) in Basque, a language without true third-person pronouns. In an acceptability judgement task, a developmental change occurred in the preference for hura (Experiment 1): 6–7-year-olds showed a preference for the null pronoun in both topic-shift and topic-continuity contexts, while 8–10-year-olds, like adults, preferred hura in topic-shift contexts and null pronouns in top
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Fuess, Vera Lucia Ribeiro, Ricardo Ferreira Bento, and José Alexandre Médicis da Silveira. "Delay in Maturation of the Auditory Pathway and its Relationship to Language Acquisition Disorders." Ear, Nose & Throat Journal 81, no. 10 (2002): 706–12. http://dx.doi.org/10.1177/014556130208101011.

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We studied 81 children, mostly boys, who experienced language acquisition delay but whose audiometric thresh olds were normal. We assessed the evolution of children with delayed maturation of auditory pathways by brainstem evoked response audiometry (BERA). We also used a questionnaire administered during diagnostic procedures to determine if there was a probable etiology in each patient. In addition, we further studied language evolution in 29 patients by means of a second questionnaire that was administered approximately 2 years later. Finally, we studied the evolution of the I–V interwave i
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Singh, Pradeep Kumar, Nishant Kumar, Dheeraj Kumar, Nisha Shrivastava, and Abhishek Kumar. "A prospective study for hearing screening of 4356 newborns by transient evoked oto-acoustic emissions and brainstem evoked response audiometry: a study of high risk factors for hearing loss." International Journal of Research in Medical Sciences 5, no. 4 (2017): 1554. http://dx.doi.org/10.18203/2320-6012.ijrms20171264.

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Background: A child’s normal speech and language development depends on the ability to hear. Early detection of hearing loss by screening at or shortly after birth and appropriate intervention are critical to speech, language and cognitive development. Objectives were to describe socio-epidemiological profile of newborns for hearing loss screening by transient evoked oto-acoustic emissions (TEOAE) and brainstem evoked response audiometry (BERA) in Rajendra Institute of Medical Sciences (RIMS), Ranchi, Jharkhand, India during 18 months period (June 2015- November 2016), and to study association
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Shah, Hemal, Pramod Kharadi, Krunal Patel, Sushil Jha, and Abhishek Kumar Singh. "Correlation between brainstem evoked response audiometry with other audiological tests in different types of hearing loss." International Journal of Otorhinolaryngology and Head and Neck Surgery 6, no. 5 (2020): 839. http://dx.doi.org/10.18203/issn.2454-5929.ijohns20201672.

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<p class="abstract"><strong>Background:</strong> Brainstem evoked response audiometry (BERA) is most specific and sensitive test for brain stem dysfunction. It is most important objective method for evaluating peripheral auditory system in neonates, infants, sedated and comatose patients and other person who doesn’t understand the language. Objective of the study was to evaluate correlation BERA with other audiological tests in different types of hearing loss as well as to study variations of wave forms in different types of hearing loss.</p><p class="abstract">&l
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Valse, Dinesh, and H. K. Nagarathna. "Efficacy of TEOAEs and BERA as screening tools for deafness in newborn." International Journal of Otorhinolaryngology and Head and Neck Surgery 3, no. 3 (2017): 491. http://dx.doi.org/10.18203/issn.2454-5929.ijohns20172654.

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<p class="abstract"><strong>Background:</strong> Hearing during the first 6 months of life is also considered as crucial for normal acquisition of language. Hence, infants with permanent congenital and early hearing loss identified by 6 months of age and given appropriate and timely support are reported to achieve better language outcomes than those identified later than 6 months of age.</p><p class="abstract"><strong>Methods:</strong> The study group constituted of 200 ears of 100 neonates (0-28 days) that were randomly selected. The neonates were tak
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Tegnoor, Mallikarjun S., and Farha Naaz. "Screening of high-risk newborns for hearing in MRMC using OAE and BERA." International Journal of Otorhinolaryngology and Head and Neck Surgery 5, no. 3 (2019): 694. http://dx.doi.org/10.18203/issn.2454-5929.ijohns20191732.

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<p class="abstract"><strong>Background:</strong> Hearing is necessary to learn languages and speech and to develop cognitive skills. As hearing is important for normal educational and social development, hearing loss can be disastrous and for the family it can be very distressing. With early detection of hearing loss using OAE and BERA, we can ensure normal language development and help the growing child to lead a near normal life.</p><p class="abstract"><strong>Methods:</strong> 500 cases- out of which 400 normal babies and 100 high risk babies are ta
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Niasari, Nia, Hartono Gunardi, Ronny Suwento, and Sudigdo Sastroasmoro. "Peran The Early Language Milestone Scale sebagai Uji Tapis terhadap Anak dengan Keterlambatan Bicara yang Diduga Disebabkan oleh Gangguan Pendengaran Sensorineural." Sari Pediatri 9, no. 4 (2016): 281. http://dx.doi.org/10.14238/sp9.4.2007.281-4.

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Latar belakang. Salah satu penyebab keterlambatan bicara adalah gangguan pendengaran. Brain evokedresponse audiometry (BERA) memiliki sensitivitas dan spesifisitas yang tinggi dalam mendeteksi gangguanpendengaran, namun alat dan biaya pemeriksaan cukup mahal, dan tidak tersedia di pusat pelayanankesehatan primer di daerah terpencil. The early language milestone scale (ELMS) diharapkan mempunyaisensitivitas dan spesifisitas yang baik sebagai uji tapis keterlambatan bicara yang disebabkan oleh gangguanpendengaran, karena mengandung unsur auditory receptive dan auditory expressive.Tujuan. Memband
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Gupta, Ashish, and Vinod Kumar. "Finding out incidence of deafness among neonates at a tertiary care centre of western Rajasthan, India using otoacoustic emission." International Journal of Contemporary Pediatrics 6, no. 2 (2019): 338. http://dx.doi.org/10.18203/2349-3291.ijcp20190681.

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Background: Newborn hearing screening is conducted to identify suspected hearing loss and not to confirm the presence/absence of hearing loss or define features of the loss. Speech and hearing are interrelated, i.e., a problem with one could mean a problem with the other as speech and language is acquired normally through auditory system.Methods: A descriptive study conducted in the Department of Paediatrics, Dr. S. N. Medical College, Jodhpur, from June 2016 to December 2017. 5000 neonates were screened using otoacoustic emissions (OAE) in 2 stages at birth during 3rd to 7th day and 15-30 day
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Purnami, Nyilo, Cintya Dipta, and Mahrus Ahmad Rahman. "Characteristics of infants and young children with sensorineural hearing loss in Dr. Soetomo Hospital." Oto Rhino Laryngologica Indonesiana 48, no. 1 (2018): 11. http://dx.doi.org/10.32637/orli.v48i1.251.

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Background: Hearing loss is one of the congenital abnormalities frequently found in children, which is followed by delayed speech and language development. The majority of cases have unknown causes of hearing loss resulting in late diagnosis. Newborn Hearing Screening Program (NHSP) recommended Otoacoustic Emissions (OAE) and Brainstem Evoked Response Audiometry (BERA) as detection of hearing loss in infants and children. Objective: To obtain the prevalence and description of sensorineural hearing loss in infants and children. Method: A retrospective descriptive study of infants underwent OAE
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Satyawati, Made Sri, Ketut Widya Purnawati, and I. Nyoman Kardana. "NOUN CONSTRUCTION IN BIMANESE." Aksara 31, no. 2 (2019): 299. http://dx.doi.org/10.29255/aksara.v31i2.387.299-310.

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Abstract Bimanese is an interesting language to observe because it is located in the area between two types of languages, namely an af xed language and an unaf xed language (Satyawati, 2010, p. 2). With such conditions, of course Bimanese will have characteristics in both languages. From several studies (Ara k (2007), Jauhari (2000), Owens (2000), and Satyawati (2010), studies related to noun constituents have not been studied.The results of previous studies focused more on general syntactic studies, especially on syntactic relations and the valence of Bimanese, even though it is really very i
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Dissertations / Theses on the topic "BERA language"

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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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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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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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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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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 najširim spektrom delovanja, spadaju u lekove poslednje linije odbrane. Rezistencija na karbapeneme među enterobakterijama je u porastu širom sveta. Može nastati usled prisustva karbapenemaza, enzima koji degradiraju karbapeneme, ili usled hiperprodukcije AmpC cefalosporinaza ili beta-laktamaza proširenog spektra uz gubitak porina. Gen
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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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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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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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Books on the topic "BERA language"

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Kubler, Annie. Teddy bear, teddy bear! Child's Play, 2004.

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Cowley, Joy. Hairy Bear. Thomas Nelson and Sons, 1989.

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Cowley, Joy. Hairy Bear. Thomas Nelson and Sons, 1991.

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Faulkner, William. The bear. Curley Pub., 1990.

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Browne, Gerald M. Textus Blemmyicus aetatis christianae. Stipes Pub., 2003.

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Claire's bear scare. ABDO Pub., 2004.

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Table, chair, bear: A book in many languages. Ticknor & Fields, 1995.

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Birger, Møller-Pedersen, and Nygaard Kristen 1926-, eds. Object-oriented programming in the BETA programming language. Addison-Wesley, 1993.

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ill, Gable Brian 1949, ed. How much can a bare bear bear?: What are homonyms and homophones? Millbrook Press, 2005.

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Johnson, Alexander Bryan. A treatise on language or the relation which words bear to things in four parts. Routledge/Thoemmes, 1997.

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Book chapters on the topic "BERA language"

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Lee, Jin-Kook, and Charles M. Eastman. "Demonstration of BERA language-based approach to offsite construction design analysis." In Offsite Production and Manufacturing for Innovative Construction. Routledge, 2019. http://dx.doi.org/10.1201/9781315147321-7.

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Anderson, Gregory D. S., and K. David Harrison. "Shaman and bear." In Languages and Prehistory of Central Siberia. John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/cilt.262.15and.

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Lehečka, Jan, Jan Švec, Pavel Ircing, and Luboš Šmídl. "BERT-Based Sentiment Analysis Using Distillation." In Statistical Language and Speech Processing. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59430-5_5.

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Sabharwal, Navin, and Amit Agrawal. "Introduction to Natural Language Processing." In Hands-on Question Answering Systems with BERT. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6664-9_1.

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Sabharwal, Navin, and Amit Agrawal. "Neural Networks for Natural Language Processing." In Hands-on Question Answering Systems with BERT. Apress, 2021. http://dx.doi.org/10.1007/978-1-4842-6664-9_2.

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Zupancic, Metka. "Berta Bojetu-Boeta’s Feminist Dystopias." In Comparative History of Literatures in European Languages. John Benjamins Publishing Company, 2010. http://dx.doi.org/10.1075/chlel.xxv.26zup.

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Baratalipour, Nasrin, Ching Y. Suen, and Olga Ormandjieva. "Abusive Language Detection Using BERT Pre-trained Embedding." In Pattern Recognition and Artificial Intelligence. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59830-3_60.

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Chotirat, Saranlita, and Phayung Meesad. "Natural Language Processing with “More Than Words – BERT”." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79757-7_11.

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Kind, Sylvia, and Cindy Lee. "Moon Bear and the Night Butterfly." In Drawing as Language: Celebrating the Work of Bob Steele. SensePublishers, 2017. http://dx.doi.org/10.1007/978-94-6300-980-5_8.

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Sumru Özsoy, Ayse. "Negative or not – the Case of -(y)AlI beri in Turkish." In Studies in Language Companion Series. John Benjamins Publishing Company, 2016. http://dx.doi.org/10.1075/slcs.175.04ozs.

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Conference papers on the topic "BERA language"

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Lee, Hyunsoo, Jisoo Kim, Minkyu Shin, Inhan Kim, and Jin-Kook Lee. "A Demonstration of BIM-Enabled Quantitative Circulation Analysis Using BERA Language." In 31st International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2014. http://dx.doi.org/10.22260/isarc2014/0027.

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Yang, Xinghao, Weifeng Liu, Dacheng Tao, and Wei Liu. "BESA: BERT-based Simulated Annealing for Adversarial Text Attacks." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/453.

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Modern Natural Language Processing (NLP) models are known immensely brittle towards text adversarial examples. Recent attack algorithms usually adopt word-level substitution strategies following a pre-computed word replacement mechanism. However, their resultant adversarial examples are still imperfect in achieving grammar correctness and semantic similarities, which is largely because of their unsuitable candidate word selections and static optimization methods. In this research, we propose BESA, a BERT-based Simulated Annealing algorithm, to address these two problems. Firstly, we leverage t
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Konovalov, V. P., P. A. Gulyaev, A. A. Sorokin, Y. M. Kuratov, and M. S. Burtsev. "EXPLORING THE BERT CROSS-LINGUAL TRANSFER FOR READING COMPREHENSION." In International Conference on Computational Linguistics and Intellectual Technologies "Dialogue". Russian State University for the Humanities, 2020. http://dx.doi.org/10.28995/2075-7182-2020-19-445-453.

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Multilingual BERT has been shown to generalize well in a zero-shot crosslingual setting. This generalization was measured on POS and NER tasks. We explore the multilingual BERT cross-language transferability on the reading comprehension task. We compare different modes of training of question-answering model for a non-English language using both English and language-specific data. We demonstrate that the model based on multilingual BERT is slightly behind the monolingual BERT-based on Russian data, however, it achieves comparable results with the language-specific variant on Chinese. We also s
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Li, Linyang, Ruotian Ma, Qipeng Guo, Xiangyang Xue, and Xipeng Qiu. "BERT-ATTACK: Adversarial Attack Against BERT Using BERT." In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.emnlp-main.500.

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Li, Zhongyang, Xiao Ding, and Ting Liu. "Story Ending Prediction by Transferable BERT." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/249.

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Recent advances, such as GPT and BERT, have shown success in incorporating a pre-trained transformer language model and fine-tuning operation to improve downstream NLP systems. However, this framework still has some fundamental problems in effectively incorporating supervised knowledge from other related tasks. In this study, we investigate a transferable BERT (TransBERT) training framework, which can transfer not only general language knowledge from large-scale unlabeled data but also specific kinds of knowledge from various semantically related supervised tasks, for a target task. Particular
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Chen, Daoyuan, Yaliang Li, Minghui Qiu, et al. "AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/341.

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Large pre-trained language models such as BERT have shown their effectiveness in various natural language processing tasks. However, the huge parameter size makes them difficult to be deployed in real-time applications that require quick inference with limited resources. Existing methods compress BERT into small models while such compression is task-independent, i.e., the same compressed BERT for all different downstream tasks. Motivated by the necessity and benefits of task-oriented BERT compression, we propose a novel compression method, AdaBERT, that leverages differentiable Neural Architec
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Ghosh, Koyel, and Apurbalal Senapati. "Technical Domain Classification of Bangla Text using BERT." In Intelligent Computing and Technologies Conference. AIJR Publisher, 2021. http://dx.doi.org/10.21467/proceedings.115.16.

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Coarse-grained tasks are primarily based on Text classification, one of the earliest problems in NLP, and these tasks are done on document and sentence levels. Here, our goal is to identify the technical domain of a given Bangla text. In Coarse-grained technical domain classification, such a piece of the Bangla text provides information about specific Coarse-grained technical domains like Biochemistry (bioche), Communication Technology (com-tech), Computer Science (cse), Management (mgmt), Physics (phy) Etc. This paper uses a recent deep learning model called the Bangla Bidirectional Encoder R
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Reimers, Nils, and Iryna Gurevych. "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks." In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/d19-1410.

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BehnamGhader, Parishad, Hossein Zakerinia, and Mahdieh Soleymani Baghshah. "MG-BERT: Multi-Graph Augmented BERT for Masked Language Modeling." In Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15). Association for Computational Linguistics, 2021. http://dx.doi.org/10.18653/v1/11.textgraphs-1.12.

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Zhang, Zachariah, Jingshu Liu, and Narges Razavian. "BERT-XML: Large Scale Automated ICD Coding Using BERT Pretraining." In Proceedings of the 3rd Clinical Natural Language Processing Workshop. Association for Computational Linguistics, 2020. http://dx.doi.org/10.18653/v1/2020.clinicalnlp-1.3.

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