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| <?xml version='1.0' encoding='UTF-8'?> | ||
| <collection id="2024.konvens"> | ||
| <volume id="main" ingest-date="2024-09-16" type="proceedings"> | ||
| <meta> | ||
| <booktitle>Proceedings of the 20th Conference on Natural Language Processing (KONVENS 2024)</booktitle> | ||
| <editor><first>Pedro Henrique</first><last>{Luz de Araujo}</last></editor> | ||
| <editor><first>Andreas</first><last>Baumann</last></editor> | ||
| <editor><first>Dagmar</first><last>Gromann</last></editor> | ||
| <editor><first>Brigitte</first><last>Krenn</last></editor> | ||
| <editor><first>Benjamin</first><last>Roth</last></editor> | ||
| <editor><first>Michael</first><last>Wiegand</last></editor> | ||
| <publisher>Association for Computational Linguistics</publisher> | ||
| <address>Vienna, Austria</address> | ||
| <month>September</month> | ||
| <year>2024</year> | ||
| <venue>konvens</venue> | ||
| </meta> | ||
| <frontmatter> | ||
| <url hash="8bdcbd0c">2024.konvens-main.0</url> | ||
| <bibkey>konvens-2024-main</bibkey> | ||
| </frontmatter> | ||
| <paper id="1"> | ||
| <title>Large Language Models as Evaluators for Scientific Synthesis</title> | ||
| <author><first>Julia</first><last>Evans</last></author> | ||
| <author><first>Jennifer</first><last>D’Souza</last></author> | ||
| <author><first>Sören</first><last>Auer</last></author> | ||
| <pages>1–22</pages> | ||
| <url hash="ed7047bd">2024.konvens-main.1</url> | ||
| <bibkey>evans-etal-2024-large</bibkey> | ||
| </paper> | ||
| <paper id="2"> | ||
| <title>A Crosslingual Approach to Dependency Parsing for <fixed-case>M</fixed-case>iddle <fixed-case>H</fixed-case>igh <fixed-case>G</fixed-case>erman</title> | ||
| <author><first>Cora</first><last>Haiber</last></author> | ||
| <pages>23–31</pages> | ||
| <url hash="27690f48">2024.konvens-main.2</url> | ||
| <bibkey>haiber-2024-crosslingual</bibkey> | ||
| </paper> | ||
| <paper id="3"> | ||
| <title>Complexity of <fixed-case>G</fixed-case>erman Texts Written by Primary School Children</title> | ||
| <author><first>Jammila</first><last>Laâguidi</last></author> | ||
| <author><first>Dana</first><last>Neumann</last></author> | ||
| <author><first>Ronja</first><last>Laarmann-Quante</last></author> | ||
| <author><first>Stefanie</first><last>Dipper</last></author> | ||
| <author><first>Mihail</first><last>Chifligarov</last></author> | ||
| <pages>32–39</pages> | ||
| <url hash="dab54367">2024.konvens-main.3</url> | ||
| <bibkey>laaguidi-etal-2024-complexity</bibkey> | ||
| </paper> | ||
| <paper id="4"> | ||
| <title>Exploring Automatic Text Simplification for <fixed-case>L</fixed-case>ithuanian</title> | ||
| <author><first>Justina</first><last>Mandravickaitė</last></author> | ||
| <author><first>Egle</first><last>Rimkiene</last></author> | ||
| <author><first>Danguolė</first><last>Kalinauskaitė</last></author> | ||
| <author><first>Danguolė Kotryna</first><last>Kapkan</last></author> | ||
| <pages>40–49</pages> | ||
| <url hash="ab42a8b2">2024.konvens-main.4</url> | ||
| <bibkey>mandravickaite-etal-2024-exploring</bibkey> | ||
| </paper> | ||
| <paper id="5"> | ||
| <title>Word alignment in Discourse Representation Structure parsing</title> | ||
| <author><first>Christian</first><last>Obereder</last></author> | ||
| <author><first>Gabor</first><last>Recski</last></author> | ||
| <pages>50–56</pages> | ||
| <url hash="ce42473a">2024.konvens-main.5</url> | ||
| <bibkey>obereder-recski-2024-word</bibkey> | ||
| </paper> | ||
| <paper id="6"> | ||
| <title>Evaluating and Fine-Tuning Retrieval-Augmented Language Models to Generate Text with Accurate Citations</title> | ||
| <author><first>Vinzent</first><last>Penzkofer</last></author> | ||
| <author><first>Timo</first><last>Baumann</last></author> | ||
| <pages>57–64</pages> | ||
| <url hash="68d935f5">2024.konvens-main.6</url> | ||
| <bibkey>penzkofer-baumann-2024-evaluating</bibkey> | ||
| </paper> | ||
| <paper id="7"> | ||
| <title>Discourse Parsing for <fixed-case>G</fixed-case>erman with new <fixed-case>RST</fixed-case> Corpora</title> | ||
| <author><first>Sara</first><last>Shahmohammadi</last></author> | ||
| <author><first>Manfred</first><last>Stede</last></author> | ||
| <pages>65–74</pages> | ||
| <url hash="18f22e26">2024.konvens-main.7</url> | ||
| <bibkey>shahmohammadi-stede-2024-discourse</bibkey> | ||
| </paper> | ||
| <paper id="8"> | ||
| <title>Revisiting the Phenomenon of Syntactic Complexity Convergence on <fixed-case>G</fixed-case>erman Dialogue Data</title> | ||
| <author><first>Yu</first><last>Wang</last></author> | ||
| <author><first>Hendrik</first><last>Buschmeier</last></author> | ||
| <pages>75–80</pages> | ||
| <url hash="c62c5248">2024.konvens-main.8</url> | ||
| <bibkey>wang-buschmeier-2024-revisiting</bibkey> | ||
| </paper> | ||
| <paper id="9"> | ||
| <title>Estimating Word Concreteness from Contextualized Embeddings</title> | ||
| <author><first>Christian</first><last>Wartena</last></author> | ||
| <pages>81–88</pages> | ||
| <url hash="4c89bc00">2024.konvens-main.9</url> | ||
| <bibkey>wartena-2024-estimating</bibkey> | ||
| </paper> | ||
| <paper id="10"> | ||
| <title>Using <fixed-case>G</fixed-case>erma<fixed-case>N</fixed-case>et for the Generation of Crossword Puzzles</title> | ||
| <author><first>Claus</first><last>Zinn</last></author> | ||
| <author><first>Marie</first><last>Hinrichs</last></author> | ||
| <author><first>Erhard</first><last>Hinrichs</last></author> | ||
| <pages>89–97</pages> | ||
| <url hash="9f2e0d00">2024.konvens-main.10</url> | ||
| <bibkey>zinn-etal-2024-using</bibkey> | ||
| </paper> | ||
| <paper id="11"> | ||
| <title>Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition Systems</title> | ||
| <author><first>Moncef</first><last>Benaicha</last></author> | ||
| <author><first>David</first><last>Thulke</last></author> | ||
| <author><first>Mehmet Ali Tuğtekin</first><last>Turan</last></author> | ||
| <pages>98–105</pages> | ||
| <url hash="7e8995ab">2024.konvens-main.11</url> | ||
| <bibkey>benaicha-etal-2024-leveraging</bibkey> | ||
| </paper> | ||
| <paper id="12"> | ||
| <title>Exploring Data Acquisition Strategies for the Domain Adaptation of <fixed-case>QA</fixed-case> Models</title> | ||
| <author><first>Maurice</first><last>Falk</last></author> | ||
| <author><first>Adrian</first><last>Ulges</last></author> | ||
| <author><first>Dirk</first><last>Krechel</last></author> | ||
| <pages>106–116</pages> | ||
| <url hash="ecced097">2024.konvens-main.12</url> | ||
| <bibkey>falk-etal-2024-exploring</bibkey> | ||
| </paper> | ||
| <paper id="13"> | ||
| <title><fixed-case>CO</fixed-case>-Fun: A <fixed-case>G</fixed-case>erman Dataset on Company Outsourcing in Fund Prospectuses for Named Entity Recognition and Relation Extraction</title> | ||
| <author><first>Neda</first><last>Foroutan</last></author> | ||
| <author><first>Markus</first><last>Schröder</last></author> | ||
| <author><first>Andreas</first><last>Dengel</last></author> | ||
| <pages>117–122</pages> | ||
| <url hash="a5aa0b42">2024.konvens-main.13</url> | ||
| <bibkey>foroutan-etal-2024-co</bibkey> | ||
| </paper> | ||
| <paper id="14"> | ||
| <title><fixed-case>GER</fixed-case>estaurant: A <fixed-case>G</fixed-case>erman Dataset of Annotated Restaurant Reviews for Aspect-Based Sentiment Analysis</title> | ||
| <author><first>Nils Constantin</first><last>Hellwig</last></author> | ||
| <author><first>Jakob</first><last>Fehle</last></author> | ||
| <author><first>Markus</first><last>Bink</last></author> | ||
| <author><first>Christian</first><last>Wolff</last></author> | ||
| <pages>123–133</pages> | ||
| <url hash="a567fbe2">2024.konvens-main.14</url> | ||
| <bibkey>hellwig-etal-2024-gerestaurant</bibkey> | ||
| </paper> | ||
| <paper id="15"> | ||
| <title>How to Translate <fixed-case>SQ</fixed-case>u<fixed-case>AD</fixed-case> to <fixed-case>G</fixed-case>erman? A Comparative Study of Answer Span Retrieval Methods for Question Answering Dataset Creation</title> | ||
| <author><first>Jens</first><last>Kaiser</last></author> | ||
| <author><first>Agnieszka</first><last>Falenska</last></author> | ||
| <pages>134–140</pages> | ||
| <url hash="06afc303">2024.konvens-main.15</url> | ||
| <bibkey>kaiser-falenska-2024-translate</bibkey> | ||
| </paper> | ||
| <paper id="16"> | ||
| <title>Few-Shot Prompting for Subject Indexing of <fixed-case>G</fixed-case>erman Medical Book Titles</title> | ||
| <author><first>Lisa</first><last>Kluge</last></author> | ||
| <author><first>Maximilian</first><last>Kähler</last></author> | ||
| <pages>141–148</pages> | ||
| <url hash="4d5db75c">2024.konvens-main.16</url> | ||
| <bibkey>kluge-kahler-2024-shot</bibkey> | ||
| </paper> | ||
| <paper id="17"> | ||
| <title>Binary indexes for optimising corpus queries</title> | ||
| <author><first>Peter</first><last>Ljunglöf</last></author> | ||
| <author><first>Nicholas</first><last>Smallbone</last></author> | ||
| <author><first>Mijo</first><last>Thoresson</last></author> | ||
| <author><first>Victor</first><last>Salomonsson</last></author> | ||
| <pages>149–158</pages> | ||
| <url hash="33dfe745">2024.konvens-main.17</url> | ||
| <bibkey>ljunglof-etal-2024-binary</bibkey> | ||
| </paper> | ||
| <paper id="18"> | ||
| <title>An Improved Method for Class-specific Keyword Extraction: A Case Study in the <fixed-case>G</fixed-case>erman Business Registry</title> | ||
| <author><first>Stephen</first><last>Meisenbacher</last></author> | ||
| <author><first>Tim</first><last>Schopf</last></author> | ||
| <author><first>Weixin</first><last>Yan</last></author> | ||
| <author><first>Patrick</first><last>Holl</last></author> | ||
| <author><first>Florian</first><last>Matthes</last></author> | ||
| <pages>159–165</pages> | ||
| <url hash="65cc90ff">2024.konvens-main.18</url> | ||
| <bibkey>meisenbacher-etal-2024-improved</bibkey> | ||
| </paper> | ||
| <paper id="19"> | ||
| <title>Tabular <fixed-case>JSON</fixed-case>: A Proposal for a Pragmatic Linguistic Data Format</title> | ||
| <author><first>Adam</first><last>Roussel</last></author> | ||
| <pages>166–172</pages> | ||
| <url hash="51a0d38c">2024.konvens-main.19</url> | ||
| <bibkey>roussel-2024-tabular</bibkey> | ||
| </paper> | ||
| <paper id="20"> | ||
| <title>Semiautomatic Data Generation for Academic Named Entity Recognition in <fixed-case>G</fixed-case>erman Text Corpora</title> | ||
| <author><first>Pia</first><last>Schwarz</last></author> | ||
| <pages>173–181</pages> | ||
| <url hash="8feec6e1">2024.konvens-main.20</url> | ||
| <bibkey>schwarz-2024-semiautomatic</bibkey> | ||
| </paper> | ||
| <paper id="21"> | ||
| <title>Redundancy Aware Multiple Reference Based Gainwise Evaluation of Extractive Summarization</title> | ||
| <author><first>Mousumi</first><last>Akter</last></author> | ||
| <author><first>Santu</first><last>Karmaker</last></author> | ||
| <pages>182–195</pages> | ||
| <url hash="483acd3e">2024.konvens-main.21</url> | ||
| <bibkey>akter-karmaker-2024-redundancy</bibkey> | ||
| </paper> | ||
| <paper id="22"> | ||
| <title>Fine-grained quotation detection and attribution in <fixed-case>G</fixed-case>erman news articles</title> | ||
| <author><first>Fynn</first><last>Petersen-Frey</last></author> | ||
| <author><first>Chris</first><last>Biemann</last></author> | ||
| <pages>196–208</pages> | ||
| <url hash="f9179f16">2024.konvens-main.22</url> | ||
| <bibkey>petersen-frey-biemann-2024-fine</bibkey> | ||
| </paper> | ||
| <paper id="23"> | ||
| <title>Decoding 16th-Century Letters: From Topic Models to <fixed-case>GPT</fixed-case>-Based Keyword Mapping</title> | ||
| <author><first>Phillip Benjamin</first><last>Ströbel</last></author> | ||
| <author><first>Stefan</first><last>Aderhold</last></author> | ||
| <author><first>Ramona</first><last>Roller</last></author> | ||
| <pages>209–221</pages> | ||
| <url hash="ac997e57">2024.konvens-main.23</url> | ||
| <bibkey>strobel-etal-2024-decoding</bibkey> | ||
| </paper> | ||
| <paper id="24"> | ||
| <title>Analysing Effects of Inducing Gender Bias in Language Models</title> | ||
| <author><first>Stephanie</first><last>Gross</last></author> | ||
| <author><first>Brigitte</first><last>Krenn</last></author> | ||
| <author><first>Craig</first><last>Lincoln</last></author> | ||
| <author><first>Lena</first><last>Holzwarth</last></author> | ||
| <pages>222–230</pages> | ||
| <url hash="c3f5cd68">2024.konvens-main.24</url> | ||
| <bibkey>gross-etal-2024-analysing</bibkey> | ||
| </paper> | ||
| <paper id="25"> | ||
| <title><fixed-case>OM</fixed-case>o<fixed-case>S</fixed-case>-<fixed-case>QA</fixed-case>: A Dataset for Cross-Lingual Extractive Question Answering in a <fixed-case>G</fixed-case>erman Migration Context</title> | ||
| <author><first>Steffen</first><last>Kleinle</last></author> | ||
| <author><first>Jakob</first><last>Prange</last></author> | ||
| <author><first>Annemarie</first><last>Friedrich</last></author> | ||
| <pages>231–248</pages> | ||
| <url hash="a0691543">2024.konvens-main.25</url> | ||
| <bibkey>kleinle-etal-2024-omos</bibkey> | ||
| </paper> | ||
| <paper id="26"> | ||
| <title>Role-Playing <fixed-case>LLM</fixed-case>s in Professional Communication Training: The Case of Investigative Interviews with Children</title> | ||
| <author><first>Don</first><last>Tuggener</last></author> | ||
| <author><first>Teresa</first><last>Schneider</last></author> | ||
| <author><first>Ariana</first><last>Huwiler</last></author> | ||
| <author><first>Tobias</first><last>Kreienbühl</last></author> | ||
| <author><first>Simon</first><last>Hischier</last></author> | ||
| <author><first>Pius</first><last>von Däniken</last></author> | ||
| <author><first>Susanna</first><last>Niehaus</last></author> | ||
| <pages>249–263</pages> | ||
| <url hash="bc7286ae">2024.konvens-main.26</url> | ||
| <bibkey>tuggener-etal-2024-role</bibkey> | ||
| </paper> | ||
| <paper id="27"> | ||
| <title>Features and Detectability of <fixed-case>G</fixed-case>erman Texts Generated with Large Language Models</title> | ||
| <author><first>Verena</first><last>Irrgang</last></author> | ||
| <author><first>Veronika</first><last>Solopova</last></author> | ||
| <author><first>Steffen</first><last>Zeiler</last></author> | ||
| <author><first>Robert M.</first><last>Nickel</last></author> | ||
| <author><first>Dorothea</first><last>Kolossa</last></author> | ||
| <pages>264–280</pages> | ||
| <url hash="5975a86d">2024.konvens-main.27</url> | ||
| <bibkey>irrgang-etal-2024-features</bibkey> | ||
| </paper> | ||
| <paper id="28"> | ||
| <title><fixed-case>L</fixed-case>ex2<fixed-case>S</fixed-case>ent: A bagging approach to unsupervised sentiment analysis</title> | ||
| <author><first>Kai-Robin</first><last>Lange</last></author> | ||
| <author><first>Jonas</first><last>Rieger</last></author> | ||
| <author><first>Jonas</first><last>Rieger</last></author> | ||
| <pages>281–291</pages> | ||
| <url hash="1e11dffe">2024.konvens-main.28</url> | ||
| <bibkey>lange-etal-2024-lex2sent</bibkey> | ||
| </paper> | ||
| <paper id="29"> | ||
| <title>Discourse-Level Features in Spoken and Written Communication</title> | ||
| <author><first>Hannah J.</first><last>Seemann</last></author> | ||
| <author><first>Sara</first><last>Shahmohammadi</last></author> | ||
| <author><first>Manfred</first><last>Stede</last></author> | ||
| <author><first>Tatjana</first><last>Scheffler</last></author> | ||
| <pages>292–302</pages> | ||
| <url hash="1e071a79">2024.konvens-main.29</url> | ||
| <bibkey>seemann-etal-2024-discourse</bibkey> | ||
| </paper> | ||
| <paper id="30"> | ||
| <title>Version Control for Speech Corpora</title> | ||
| <author><first>Vlad</first><last>Dumitru</last></author> | ||
| <author><first>Matthias</first><last>Boehm</last></author> | ||
| <author><first>Martin</first><last>Hagmüller</last></author> | ||
| <author><first>Barbara</first><last>Schuppler</last></author> | ||
| <pages>303–308</pages> | ||
| <url hash="027f63be">2024.konvens-main.30</url> | ||
| <bibkey>dumitru-etal-2024-version</bibkey> | ||
| </paper> | ||
| <paper id="31"> | ||
| <title>Querying Repetitions in Spoken Language Corpora</title> | ||
| <author><first>Elena</first><last>Frick</last></author> | ||
| <author><first>Henrike</first><last>Helmer</last></author> | ||
| <author><first>Dolores</first><last>Lemmenmeier-Batinić</last></author> | ||
| <pages>309–316</pages> | ||
| <url hash="7c67f404">2024.konvens-main.31</url> | ||
| <bibkey>frick-etal-2024-querying</bibkey> | ||
| </paper> | ||
| <paper id="32"> | ||
| <title>Exploring Phonetic Features in Language Embeddings for Unseen Language Varieties of <fixed-case>A</fixed-case>ustrian <fixed-case>G</fixed-case>erman</title> | ||
| <author><first>Lorenz</first><last>Gutscher</last></author> | ||
| <author><first>Michael</first><last>Pucher</last></author> | ||
| <pages>317–325</pages> | ||
| <url hash="65040f5d">2024.konvens-main.32</url> | ||
| <bibkey>gutscher-pucher-2024-exploring</bibkey> | ||
| </paper> | ||
| <paper id="33"> | ||
| <title>A Multilingual Dataset of Adversarial Attacks to Automatic Content Scoring Systems</title> | ||
| <author><first>Ronja</first><last>Laarmann-Quante</last></author> | ||
| <author><first>Christopher</first><last>Chandler</last></author> | ||
| <author><first>Noemi</first><last>Incirkus</last></author> | ||
| <author><first>Vitaliia</first><last>Ruban</last></author> | ||
| <author><first>Alona</first><last>Solopov</last></author> | ||
| <author><first>Luca</first><last>Steen</last></author> | ||
| <pages>326–338</pages> | ||
| <url hash="5c33615e">2024.konvens-main.33</url> | ||
| <bibkey>laarmann-quante-etal-2024-multilingual</bibkey> | ||
| </paper> | ||
| <paper id="34"> | ||
| <title>Towards Improving <fixed-case>ASR</fixed-case> Outputs of Spontaneous Speech with <fixed-case>LLM</fixed-case>s</title> | ||
| <author><first>Karner</first><last>Manuel</last></author> | ||
| <author><first>Julian</first><last>Linke</last></author> | ||
| <author><first>Mark</first><last>Kröll</last></author> | ||
| <author><first>Barbara</first><last>Schuppler</last></author> | ||
| <author><first>Bernhard C.</first><last>Geiger</last></author> | ||
| <pages>339–348</pages> | ||
| <url hash="6a1cfb00">2024.konvens-main.34</url> | ||
| <bibkey>manuel-etal-2024-towards</bibkey> | ||
| </paper> | ||
| <paper id="35"> | ||
| <title><fixed-case>O</fixed-case>ne<fixed-case>L</fixed-case>ove beyond the field - A few-shot pipeline for topic and sentiment analysis during the <fixed-case>FIFA</fixed-case> World Cup in <fixed-case>Q</fixed-case>atar</title> | ||
| <author><first>Christoph</first><last>Rauchegger</last></author> | ||
| <author><first>Sonja Mei</first><last>Wang</last></author> | ||
| <author><first>Pieter</first><last>Delobelle</last></author> | ||
| <pages>349–357</pages> | ||
| <url hash="d5cf2040">2024.konvens-main.35</url> | ||
| <bibkey>rauchegger-etal-2024-onelove</bibkey> | ||
| </paper> | ||
| <paper id="36"> | ||
| <title>Linguistic and extralinguistic factors in automatic speech recognition of <fixed-case>G</fixed-case>erman atypical speech</title> | ||
| <author><first>Eugenia</first><last>Rykova</last></author> | ||
| <author><first>Mathias</first><last>Walther</last></author> | ||
| <pages>358–367</pages> | ||
| <url hash="63c0a99b">2024.konvens-main.36</url> | ||
| <bibkey>rykova-walther-2024-linguistic</bibkey> | ||
| </paper> | ||
| <paper id="37"> | ||
| <title><fixed-case>LLM</fixed-case>-based Translation Across 500 Years. The Case for Early <fixed-case>N</fixed-case>ew <fixed-case>H</fixed-case>igh <fixed-case>G</fixed-case>erman</title> | ||
| <author><first>Martin</first><last>Volk</last></author> | ||
| <author><first>Dominic P.</first><last>Fischer</last></author> | ||
| <author><first>Patricia</first><last>Scheurer</last></author> | ||
| <author><first>Raphael</first><last>Schwitter</last></author> | ||
| <author><first>Phillip B.</first><last>Ströbel</last></author> | ||
| <pages>368–375</pages> | ||
| <url hash="dda9e78c">2024.konvens-main.37</url> | ||
| <bibkey>volk-etal-2024-llm-based</bibkey> | ||
| </paper> | ||
| </volume> | ||
| </collection> |