<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>3923</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2258</pageFirst>
    <pageLast>2262</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>ISCA</publisherName>
    <publisherPlace>Grenoble</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes</title>
    <parentTitle language="eng">INTERSPEECH 2023</parentTitle>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,15]],"date-time":"2023-08-15T04:24:36Z","timestamp":1692073476679},"publisher-location":"ISCA","reference-count":0,"publisher":"ISCA","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.21437\/interspeech.2023-772","type":"proceedings-article","created":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T08:22:20Z","timestamp":1692001340000},"source":"Crossref","is-referenced-by-count":0,"title":["Allophant: Cross-lingual Phoneme Recognition with Articulatory Attributes"],"prefix":"10.21437","author":[{"given":"Kevin","family":"Glocker","sequence":"first","affiliation":[]},{"given":"Aaricia","family":"Herygers","sequence":"additional","affiliation":[]},{"given":"Munir","family":"Georges","sequence":"additional","affiliation":[]}],"member":"8866","published-online":{"date-parts":[[2023,8,20]]},"event":{"name":"INTERSPEECH 2023","acronym":"interspeech_2023"},"container-title":["INTERSPEECH 2023"],"original-title":[],"deposited":{"date-parts":[[2023,8,14]],"date-time":"2023-08-14T08:27:19Z","timestamp":1692001639000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.isca-speech.org\/archive\/interspeech_2023\/glocker23_interspeech.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,8,20]]},"references-count":0,"URL":"http:\/\/dx.doi.org\/10.21437\/interspeech.2023-772","relation":{},"published":{"date-parts":[[2023,8,20]]}}}</enrichment>
    <enrichment key="local_crossrefDocumentType">proceedings-article</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,Enrichmentconference_title,PublisherName,PublisherPlace,TitleMain_1,TitleParent_1,CompletedYear</enrichment>
    <enrichment key="conference_title">INTERSPEECH 2023</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="THI_conferenceName">INTERSPEECH 2023, Dublin (Ireland), 20.-24.08.2023</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.21437/Interspeech.2023-772</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_furtherversion">https://opus4.kobv.de/opus4-haw/frontdoor/index/index/docId/3730</enrichment>
    <author>
      <first_name>Kevin</first_name>
      <last_name>Glocker</last_name>
    </author>
    <author>
      <first_name>Aaricia</first_name>
      <last_name>Herygers</last_name>
    </author>
    <author>
      <first_name>Munir</first_name>
      <last_name>Georges</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>speech recognition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>cross-lingual</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>zero-shot</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>phoneme recognition</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="40770">Georges, Munir</collection>
  </doc>
  <doc>
    <id>3993</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>141</pageFirst>
    <pageLast>145</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>International Speech Communication Association (ISCA)</publisherName>
    <publisherPlace>Baixas</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-09-25</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Unsupervised Multilingual Topic Segmentation of Video Lectures: What can Hierarchical Labels tell us about the Performance?</title>
    <parentTitle language="eng">Proceedings 9th Workshop on Speech and Language Technology in Education (SLaTE)</parentTitle>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.21437/SLaTE.2023-27</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_conferenceName">9th Workshop on Speech and Language Technology in Education (SLaTE 2023), Dublin (Ireland), 18.08.-20.08.2023</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <author>
      <first_name>Steffen</first_name>
      <last_name>Freisinger</last_name>
    </author>
    <author>
      <first_name>Fabian</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Aaricia</first_name>
      <last_name>Herygers</last_name>
    </author>
    <author>
      <first_name>Munir</first_name>
      <last_name>Georges</last_name>
    </author>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Bocklet</last_name>
    </author>
    <author>
      <first_name>Korbinian</first_name>
      <last_name>Riedhammer</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>topic segmentation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>video lectures</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>hierarchical topics</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>multilingual</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="40770">Georges, Munir</collection>
  </doc>
  <doc>
    <id>4545</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>219</pageFirst>
    <pageLast>224</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>TUDPress</publisherName>
    <publisherPlace>Dresden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-02-26</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Extending HAnS: Large Language Models for Question Answering, Summarization, and Topic Segmentation in an ML-based Learning Experience Platform</title>
    <parentTitle language="mul">Elektronische Sprachsignalverarbeitung 2024, Tagungsband der 35. Konferenz, Regensburg, 6.-8. März 2024</parentTitle>
    <identifier type="isbn">978-3-95908-325-6</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">35. Konferenz Elektronische Sprachsignalverarbeitung (ESSV), Regensburg (Germany), 06.-08.03.2024</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.35096/othr/pub-7103</enrichment>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Ranzenberger</last_name>
    </author>
    <editor>
      <first_name>Timo</first_name>
      <last_name>Baumann</last_name>
    </editor>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Bocklet</last_name>
    </author>
    <author>
      <first_name>Steffen</first_name>
      <last_name>Freisinger</last_name>
    </author>
    <author>
      <first_name>Munir</first_name>
      <last_name>Georges</last_name>
    </author>
    <author>
      <first_name>Kevin</first_name>
      <last_name>Glocker</last_name>
    </author>
    <author>
      <first_name>Aaricia</first_name>
      <last_name>Herygers</last_name>
    </author>
    <author>
      <first_name>Korbinian</first_name>
      <last_name>Riedhammer</last_name>
    </author>
    <author>
      <first_name>Fabian</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Christopher</first_name>
      <last_name>Simic</last_name>
    </author>
    <author>
      <first_name>Khabbab</first_name>
      <last_name>Zakaria</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>hans</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>learning experience platform</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>speech processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>natural language processing</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>large language models</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="40770">Georges, Munir</collection>
    <thesisPublisher>Technische Hochschule Ingolstadt</thesisPublisher>
  </doc>
  <doc>
    <id>4055</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>82</pageFirst>
    <pageLast>93</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>Springer</publisherName>
    <publisherPlace>Cham</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Measuring Sentiment Bias in Machine Translation</title>
    <parentTitle language="eng">Text, Speech, and Dialogue: 26th International Conference: Proceedings</parentTitle>
    <identifier type="isbn">978-3-031-40498-6</identifier>
    <identifier type="issn">1611-3349</identifier>
    <enrichment key="opus_doi_flag">true</enrichment>
    <enrichment key="opus_import_data">{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T04:33:23Z","timestamp":1692765203946},"publisher-location":"Cham","reference-count":50,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031404979","type":"print"},{"value":"9783031404986","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-40498-6_8","type":"book-chapter","created":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T23:02:34Z","timestamp":1692745354000},"page":"82-93","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Measuring Sentiment Bias in\u00a0Machine Translation"],"prefix":"10.1007","author":[{"given":"Kai","family":"Hartung","sequence":"first","affiliation":[]},{"given":"Aaricia","family":"Herygers","sequence":"additional","affiliation":[]},{"given":"Shubham Vijay","family":"Kurlekar","sequence":"additional","affiliation":[]},{"given":"Khabbab","family":"Zakaria","sequence":"additional","affiliation":[]},{"given":"Taylan","family":"Volkan","sequence":"additional","affiliation":[]},{"given":"S\u00f6ren","family":"Gr\u00f6ttrup","sequence":"additional","affiliation":[]},{"given":"Munir","family":"Georges","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,23]]},"reference":[{"key":"8_CR1","unstructured":"Almahairi, A., Ballas, N., Cooijmans, T., Zheng, Y., Larochelle, H., Courville, A.: Dynamic capacity networks. In: Proceedings of the 33rd ICML, vol. 48, pp. 2549\u20132558 (2016)"},{"key":"8_CR2","unstructured":"Bengio, Y., L\u00e9onard, N., Courville, A.: Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv e-prints arXiv:1308.3432 (2013)"},{"key":"8_CR3","doi-asserted-by":"crossref","unstructured":"Blodgett, S.L., Barocas, S., Daum\u00e9 III, H., Wallach, H.: Language (technology) is power: a critical survey of \u201cbias\u201d in NLP. In: Proceedimgs of the 58th ACL, pp. 5454\u20135476 (2020)","DOI":"10.18653\/v1\/2020.acl-main.485"},{"key":"8_CR4","doi-asserted-by":"crossref","unstructured":"Bordia, S., Bowman, S.R.: Identifying and reducing gender bias in word-level language models. In: Proceedings of the 2019 NAACL: Student Research Workshop, pp. 7\u201315 (2019)","DOI":"10.18653\/v1\/N19-3002"},{"issue":"3","key":"8_CR5","first-page":"1","volume":"41","author":"J Chen","year":"2023","unstructured":"Chen, J., Dong, H., Wang, X., Feng, F., Wang, M., He, X.: Bias and debias in recommender system: a survey and future directions. ACM Trans. Inf. Syst. 41(3), 1\u201339 (2023)","journal-title":"ACM Trans. Inf. Syst."},{"issue":"1","key":"8_CR6","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1287\/ijds.2022.0016","volume":"1","author":"A Chriqui","year":"2022","unstructured":"Chriqui, A., Yahav, I.: HeBERT and HebEMO: a Hebrew BERT model and a tool for polarity analysis and emotion recognition. INFORMS J. Data Sci. 1(1), 81\u201395 (2022)","journal-title":"INFORMS J. Data Sci."},{"key":"8_CR7","unstructured":"Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: BERT: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the 2019 NAACL, pp. 4171\u20134186 (2019)"},{"key":"8_CR8","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1007\/978-3-642-20128-8_8","volume-title":"Building and Using Comparable Corpora","author":"T Eckart","year":"2013","unstructured":"Eckart, T., Quasthoff, U.: Statistical corpus and language comparison on comparable corpora. In: Sharoff, S., Rapp, R., Zweigenbaum, P., Fung, P. (eds.) Building and Using Comparable Corpora, pp. 151\u2013165. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-20128-8_8"},{"key":"8_CR9","doi-asserted-by":"crossref","unstructured":"Escud\u00e9 Font, J., Costa-juss\u00e0, M.R.: Equalizing gender bias in neural machine translation with word embeddings techniques. In: Proceedings of the 1st Workshop on Gender Bias in Natural Language Processing, pp. 147\u2013154 (2019)","DOI":"10.18653\/v1\/W19-3821"},{"key":"8_CR10","unstructured":"Finlay, P., Argos Translate, C.: Argos Translate"},{"key":"8_CR11","unstructured":"Freitag, M., et al.: Results of the WMT21 metrics shared task: Evaluating metrics with expert-based human evaluations on TED and news domain. In: Proceedings of theWMT21, pp. 733\u2013774 (2021)"},{"key":"8_CR12","unstructured":"Garc\u00eda-Vega, M., et al.: Overview of TASS 2020: Introducing emotion detection. In: Proceedings of the IberLEF 2020 &amp; 36th SEPLN 2020, pp. 163\u2013170 (2020)"},{"key":"8_CR13","doi-asserted-by":"crossref","unstructured":"Garg, S., Perot, V., Limtiaco, N., Taly, A., Chi, E.H., Beutel, A.: Counterfactual fairness in text classification through robustness. In: Proceedings of the 2019 AEIS, pp. 219\u2013226 (2019)","DOI":"10.1145\/3306618.3317950"},{"key":"8_CR14","unstructured":"Guhr, O., Schumann, A.K., Bahrmann, F., B\u00f6hme, H.J.: Training a broad-coverage German sentiment classification model for dialog systems. In: Proceedings of the 12th LREC, pp. 1620\u20131625 (2020)"},{"key":"8_CR15","doi-asserted-by":"crossref","unstructured":"Guzm\u00e1n, F., et al.: The FLoRes evaluation datasets for low-resource machine translation: Nepali-English and Sinhala-English. In: Proceedings of the 2019 EMNLP &amp; 9th IJCNLP, pp. 6098\u20136111 (2019)","DOI":"10.18653\/v1\/D19-1632"},{"key":"8_CR16","doi-asserted-by":"crossref","unstructured":"Huang, P.S., et al.: Reducing sentiment bias in language models via counterfactual evaluation. In: Findings of the ACL: EMNLP 2020, pp. 65\u201383 (2020)","DOI":"10.18653\/v1\/2020.findings-emnlp.7"},{"key":"8_CR17","doi-asserted-by":"crossref","unstructured":"Hutto, C., Gilbert, E.: Vader: A parsimonious rule-based model for sentiment analysis of social media text. In: Proceedings of the ICWSM, vol. 8, pp. 216\u2013225 (2014)","DOI":"10.1609\/icwsm.v8i1.14550"},{"key":"8_CR18","doi-asserted-by":"crossref","unstructured":"Jia, S., Meng, T., Zhao, J., Chang, K.W.: Mitigating gender bias amplification in distribution by posterior regularization. In: Proceedings of the 58th ACL, pp. 2936\u20132942 (2020)","DOI":"10.18653\/v1\/2020.acl-main.264"},{"key":"8_CR19","unstructured":"Jiang, R., Pacchiano, A., Stepleton, T., Jiang, H., Chiappa, S.: Wasserstein Fair Classification. In: Adams, R.P., Gogate, V. (eds.) Proc. 35th UAI, vol. 115, pp. 862\u2013872 (2020)"},{"key":"8_CR20","doi-asserted-by":"crossref","unstructured":"Khayrallah, H., Thompson, B., Post, M., Koehn, P.: Simulated multiple reference training improves low-resource machine translation. In: Proceedings of the 2020 EMNLP (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.7"},{"key":"8_CR21","doi-asserted-by":"crossref","unstructured":"Klein, G., Kim, Y., Deng, Y., Senellart, J., Rush, A.: OpenNMT: open-source toolkit for neural machine translation. In: Proceedings of the ACL 2017, pp. 67\u201372 (2017)","DOI":"10.18653\/v1\/P17-4012"},{"key":"8_CR22","doi-asserted-by":"crossref","unstructured":"Kudo, T., Richardson, J.: SentencePiece: a simple and language independent subword tokenizer and detokenizer for neural text processing. In: Proceedings of the 2018 EMNLP, pp. 66\u201371 (2018)","DOI":"10.18653\/v1\/D18-2012"},{"key":"8_CR23","unstructured":"Lepikhin, D., et al.: GShard: Scaling giant models with conditional computation and automatic sharding. In: International Conference on Learning Representations (2021)"},{"issue":"1","key":"8_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3546872","volume":"14","author":"H Liu","year":"2022","unstructured":"Liu, H., et al.: Trustworthy AI: a computational perspective. ACM Trans. Intell. Syst. Technol. 14(1), 1\u201359 (2022)","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"8_CR25","unstructured":"Liu, Y., et al.: RoBERTa: a robustly optimized BERT pretraining approach (2019)"},{"key":"8_CR26","unstructured":"Lohar, P., Madden, S., O\u2019Connor, E., Popovic, M., Habruseva, T.: Building machine translation system for software product descriptions using domain-specific sub-corpora extraction. In: Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas, pp. 1\u201313 (2022)"},{"key":"8_CR27","unstructured":"Costa-juss\u00e0, et al.: No language left behind: Scaling human-centered machine translation (2022)"},{"key":"8_CR28","doi-asserted-by":"crossref","unstructured":"Papineni, K., Roukos, S., Ward, T., Zhu, W.J.: BLEU: a method for automatic evaluation of machine translation. In: Proceedings of the 40th ACL, pp. 311\u2013318 (2002)","DOI":"10.3115\/1073083.1073135"},{"key":"8_CR29","unstructured":"P\u00e9rez, J.M., Furman, D.A., Alonso Alemany, L., Luque, F.M.: RoBERTuito: a pre-trained language model for social media text in Spanish. In: Proceedings of the 13th LREC, pp. 7235\u20137243 (2022)"},{"key":"8_CR30","doi-asserted-by":"crossref","unstructured":"Peters, M.E.: Deep contextualized word representations. In: Proceedings of the 2018 NAACL, pp. 2227\u20132237 (2018)","DOI":"10.18653\/v1\/N18-1202"},{"issue":"10","key":"8_CR31","doi-asserted-by":"publisher","first-page":"6363","DOI":"10.1007\/s00521-019-04144-6","volume":"32","author":"MOR Prates","year":"2020","unstructured":"Prates, M.O.R., Avelar, P.H., Lamb, L.C.: Assessing gender bias in machine translation: a case study with Google Translate. Neural Comput. Appl. 32(10), 6363\u20136381 (2020)","journal-title":"Neural Comput. Appl."},{"key":"8_CR32","unstructured":"P\u00e9rez, J.M., Giudici, J.C., Luque, F.: pysentimiento: a Python toolkit for sentiment analysis and socialNLP tasks (2021)"},{"issue":"8","key":"8_CR33","first-page":"9","volume":"1","author":"A Radford","year":"2019","unstructured":"Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., Sutskever, I.: Language models are unsupervised multitask learners. OpenAI blog 1(8), 9 (2019)","journal-title":"OpenAI blog"},{"key":"8_CR34","doi-asserted-by":"crossref","unstructured":"Reimers, N., Gurevych, I.: Making monolingual sentence embeddings multilingual using knowledge distillation. In: Proceedings of the 2020 EMNLP, pp. 4512\u20134525 (2020)","DOI":"10.18653\/v1\/2020.emnlp-main.365"},{"key":"8_CR35","first-page":"264","volume":"8","author":"S Rothe","year":"2020","unstructured":"Rothe, S., Narayan, S., Severyn, A.: Leveraging pre-trained checkpoints for sequence generation tasks. Trans. ACL 8, 264\u2013280 (2020)","journal-title":"Trans. ACL"},{"key":"8_CR36","unstructured":"Shazeer, N., et al.: Outrageously large neural networks: the sparsely-gated mixture-of-experts layer. In: International Conference on Learning Representations (2017)"},{"key":"8_CR37","doi-asserted-by":"crossref","unstructured":"Sheng, E., Chang, K.W., Natarajan, P., Peng, N.: The woman worked as a babysitter: On biases in language generation. In: Proceedings of the 2019 EMNLP &amp; 9th IJCNLP, pp. 3407\u20133412 (2019)","DOI":"10.18653\/v1\/D19-1339"},{"key":"8_CR38","doi-asserted-by":"crossref","unstructured":"Sun, T., et al.: Mitigating gender bias in natural language processing: Literature review. In: Proceedings of the 57th ACL, pp. 1630\u20131640 (2019)","DOI":"10.18653\/v1\/P19-1159"},{"key":"8_CR39","unstructured":"Sutskever, I., Vinyals, O., Le, Q.V.: Sequence to sequence learning with neural networks. In: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K. (eds.) Advances in Neural Information Processing Systems, vol. 27 (2014)"},{"key":"8_CR40","unstructured":"Tiedemann, J.: Parallel data, tools and interfaces in OPUS. In: Calzolari, N., Choukri, K., Declerck, T., Dogan, M.U., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (eds.) Proceedings of the 8th LREC 2012 (2012)"},{"key":"8_CR41","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Guyon, I., Luxburg, U.V., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S., Garnett, R. (eds.) Advances in Neural Information Processing Systems, vol. 30 (2017)"},{"key":"8_CR42","doi-asserted-by":"crossref","unstructured":"Wang, Z., et al.: Towards fairness in visual recognition: effective strategies for bias mitigation. In: Proceedings of the IEEE\/CVF CVPR (2020)","DOI":"10.1109\/CVPR42600.2020.00894"},{"key":"8_CR43","unstructured":"Yang, H., Li, K.: PyABSA: a modularized framework for reproducible aspect-based sentiment analysis. arXiv (2022)"},{"key":"8_CR44","unstructured":"Ylonen, T.: Wiktextract: Wiktionary as machine-readable structured data. In: Proceedings of the 13th LREC, pp. 1317\u20131325 (2022)"},{"key":"8_CR45","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Zhang, Y., Halpern, B., Patel, T., Scharenborg, O.: Mitigating bias against non-native accents. In: Proceedings of the Interspeech 2022, pp. 3168\u20133172 (2022)","DOI":"10.21437\/Interspeech.2022-836"},{"key":"8_CR46","doi-asserted-by":"crossref","unstructured":"Zhao, J., Wang, T., Yatskar, M., Cotterell, R., Ordonez, V., Chang, K.W.: Gender bias in contextualized word embeddings. In: Proceedings of the 2019 NAACL, pp. 629\u2013634 (2019)","DOI":"10.18653\/v1\/N19-1064"},{"key":"8_CR47","doi-asserted-by":"crossref","unstructured":"Zhao, J., Wang, T., Yatskar, M., Ordonez, V., Chang, K.W.: Men also like shopping: reducing gender bias amplification using corpus-level constraints. In: Proceedings of the 2017 EMNLP, pp. 2979\u20132989 (2017)","DOI":"10.18653\/v1\/D17-1323"},{"key":"8_CR48","doi-asserted-by":"crossref","unstructured":"Zhao, J., Wang, T., Yatskar, M., Ordonez, V., Chang, K.W.: Gender bias in coreference resolution: evaluation and debiasing methods. In: Proceedings of the 2018 NAACL, pp. 15\u201320 (2018)","DOI":"10.18653\/v1\/N18-2003"},{"key":"8_CR49","doi-asserted-by":"crossref","unstructured":"Zhao, J., Zhou, Y., Li, Z., Wang, W., Chang, K.W.: Learning gender-neutral word embeddings. In: Proceedings of the 2018 EMNLP, pp. 4847\u20134853 (2018)","DOI":"10.18653\/v1\/D18-1521"},{"key":"8_CR50","doi-asserted-by":"crossref","unstructured":"Zmigrod, R., Mielke, S.J., Wallach, H., Cotterell, R.: Counterfactual data augmentation for mitigating gender stereotypes in languages with rich morphology. In: Proceedings of the 57th ACL, pp. 1651\u20131661 (2019)","DOI":"10.18653\/v1\/P19-1161"}],"container-title":["Text, Speech, and Dialogue","Lecture Notes in Computer Science"],"original-title":[],"link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-40498-6_8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,22]],"date-time":"2023-08-22T23:03:53Z","timestamp":1692745433000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-40498-6_8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031404979","9783031404986"],"references-count":50,"URL":"http:\/\/dx.doi.org\/10.1007\/978-3-031-40498-6_8","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"published":{"date-parts":[[2023]]},"assertion":[{"value":"23 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"TSD","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Text, Speech, and Dialogue","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pilsen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Czech Republic","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"6 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"tsd2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.kiv.zcu.cz\/tsd2023\/index.php","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"CMS &amp; back-office system","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"64","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"31","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"48% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2.56","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}</enrichment>
    <enrichment key="local_crossrefDocumentType">book-chapter</enrichment>
    <enrichment key="local_crossrefLicence">https://www.springernature.com/gp/researchers/text-and-data-mining</enrichment>
    <enrichment key="local_import_origin">crossref</enrichment>
    <enrichment key="local_doiImportPopulated">PersonAuthorFirstName_1,PersonAuthorLastName_1,PersonAuthorFirstName_2,PersonAuthorLastName_2,PersonAuthorFirstName_3,PersonAuthorLastName_3,PersonAuthorFirstName_4,PersonAuthorLastName_4,PersonAuthorFirstName_5,PersonAuthorLastName_5,PersonAuthorFirstName_6,PersonAuthorLastName_6,PersonAuthorFirstName_7,PersonAuthorLastName_7,PublisherName,PublisherPlace,TitleMain_1,TitleParent_1,PageNumber,PageFirst,PageLast,CompletedYear,IdentifierIsbn,IdentifierIssn,Enrichmentlocal_crossrefLicence</enrichment>
    <enrichment key="opus.source">doi-import</enrichment>
    <enrichment key="THI_relatedIdentifier">https://doi.org/10.1007/978-3-031-40498-6_8</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">TDS 2023: 26th International Conference Text, Speech, and Dialogue, Pilsen (Czech Republic), 04.-06.09.2023</enrichment>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <author>
      <first_name>Kai</first_name>
      <last_name>Hartung</last_name>
    </author>
    <editor>
      <first_name>Kamil</first_name>
      <last_name>Ekštein</last_name>
    </editor>
    <author>
      <first_name>Aaricia</first_name>
      <last_name>Herygers</last_name>
    </author>
    <editor>
      <first_name>František</first_name>
      <last_name>Pártl</last_name>
    </editor>
    <author>
      <first_name>Shubham Vijay</first_name>
      <last_name>Kurlekar</last_name>
    </author>
    <editor>
      <first_name>Miloslav</first_name>
      <last_name>Konopík</last_name>
    </editor>
    <author>
      <first_name>Khabbab</first_name>
      <last_name>Zakaria</last_name>
    </author>
    <author>
      <first_name>Taylan</first_name>
      <last_name>Volkan</last_name>
    </author>
    <author>
      <first_name>Sören</first_name>
      <last_name>Gröttrup</last_name>
    </author>
    <author>
      <first_name>Munir</first_name>
      <last_name>Georges</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Machine translation</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sentiment classification</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>bias</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="40770">Georges, Munir</collection>
    <collection role="persons" number="40771">Gröttrup, Sören</collection>
  </doc>
  <doc>
    <id>3664</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>168</pageFirst>
    <pageLast>169</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>TUDpress</publisherName>
    <publisherPlace>Dresden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-04-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The Hochschul-Assistenz-System HAnS: An ML-Based Learning Experience Platform</title>
    <parentTitle language="deu">Elektronische Sprachsignalverarbeitung 2023: Tagungsband der 34. Konferenz München, 1.-3. März 2023</parentTitle>
    <identifier type="isbn">978-3-95908-303-4</identifier>
    <identifier type="url">https://www.essv.de/paper.php?id=1188</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">Elektronische Sprachsignalverarbeitung 2023, Munich (Germany), 01.03.-03.03.2023</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Thomas</first_name>
      <last_name>Ranzenberger</last_name>
    </author>
    <editor>
      <first_name>Christoph</first_name>
      <last_name>Draxler</last_name>
    </editor>
    <author>
      <first_name>Tobias</first_name>
      <last_name>Bocklet</last_name>
    </author>
    <author>
      <first_name>Steffen</first_name>
      <last_name>Freisinger</last_name>
    </author>
    <author>
      <first_name>Lia</first_name>
      <last_name>Frischholz</last_name>
    </author>
    <author>
      <first_name>Munir</first_name>
      <last_name>Georges</last_name>
    </author>
    <author>
      <first_name>Kevin</first_name>
      <last_name>Glocker</last_name>
    </author>
    <author>
      <first_name>Aaricia</first_name>
      <last_name>Herygers</last_name>
    </author>
    <author>
      <first_name>René</first_name>
      <last_name>Peinl</last_name>
    </author>
    <author>
      <first_name>Korbinian</first_name>
      <last_name>Riedhammer</last_name>
    </author>
    <author>
      <first_name>Fabian</first_name>
      <last_name>Schneider</last_name>
    </author>
    <author>
      <first_name>Christopher</first_name>
      <last_name>Simic</last_name>
    </author>
    <author>
      <first_name>Khabbab</first_name>
      <last_name>Zakaria</last_name>
    </author>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="40770">Georges, Munir</collection>
  </doc>
  <doc>
    <id>3663</id>
    <completedYear/>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>158</pageFirst>
    <pageLast>165</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <articleNumber/>
    <type>conferenceobject</type>
    <publisherName>TUDpress</publisherName>
    <publisherPlace>Dresden</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2023-04-30</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Bias in Flemish Automatic Speech Recognition</title>
    <parentTitle language="mul">Elektronische Sprachsignalverarbeitung 2023: Tagungsband der 34. Konferenz München, 1.-3. März 2023</parentTitle>
    <identifier type="isbn">978-3-95908-303-4</identifier>
    <identifier type="url">https://www.essv.de/paper.php?id=1186</identifier>
    <enrichment key="THI_review">peer-review</enrichment>
    <enrichment key="THI_openaccess">nein</enrichment>
    <enrichment key="THI_conferenceName">Elektronische Sprachsignalverarbeitung 2023, Munich (Germany), 01.03.-03.03.2023</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <author>
      <first_name>Aaricia</first_name>
      <last_name>Herygers</last_name>
    </author>
    <editor>
      <first_name>Christoph</first_name>
      <last_name>Draxler</last_name>
    </editor>
    <author>
      <first_name>Vass</first_name>
      <last_name>Verkhodanova</last_name>
    </author>
    <author>
      <first_name>Matt</first_name>
      <last_name>Coler</last_name>
    </author>
    <author>
      <first_name>Odette</first_name>
      <last_name>Scharenborg</last_name>
    </author>
    <author>
      <first_name>Munir</first_name>
      <last_name>Georges</last_name>
    </author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Automatic speech recognition</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Bias</value>
    </subject>
    <collection role="institutes" number="19309">Fakultät Informatik</collection>
    <collection role="institutes" number="19379">AImotion Bavaria</collection>
    <collection role="persons" number="40770">Georges, Munir</collection>
  </doc>
</export-example>
