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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 Hits 1 – 20 of 63 1 Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and Learning Erdem, Erkut; Kuyu, Menekse; Yagcioglu, Semih. - : AI Access Foundation, 2022 BASE Show details 2 Turkology Annual Online – Full bibliographic records ... Arnold, Matthias; Heckmann, Dustin; Gietz, Peter. - : heiDATA, 2021 BASE Show details 3 X-SRL: Parallel Cross-lingual Semantic Role Labeling Daza, Angel; Frank, Anette. - : Linguistic Data Consortium, 2021. : https://www.ldc.upenn.edu, 2021 BASE Show details 4 VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena ... Parcalabescu, Letitia; Cafagna, Michele; Muradjan, Lilitta. - : arXiv, 2021 BASE Show details 5 COINS: Dynamically Generating COntextualized Inference Rules for Narrative Story Completion ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Frank, Anette; Paul, Debjit. - : Underline Science Inc., 2021 BASE Show details 6 Generating Hypothetical Events for Abductive Inference ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Frank, Anette; Paul, Debjit. - : Underline Science Inc., 2021 BASE Show details 7 X-SRL: Parallel Cross-lingual Semantic Role Labeling ... Daza, Angel; Frank, Anette. - : Linguistic Data Consortium, 2021 BASE Show details 8 Generating Hypothetical Events for Abductive Inference ... Paul, Debjit; Frank, Anette. - : arXiv, 2021 BASE Show details 9 Algorithmus für Kreativität gesucht. Herausforderungen maschinellen Sprachverstehens ... Frank, Anette; Markert, Katja. - : Ruperto Carola, 2020 BASE Show details 10 X-SRL: A Parallel Cross-Lingual Semantic Role Labeling Dataset ... Daza, Angel; Frank, Anette. - : arXiv, 2020 BASE Show details 11 Translate and label! An encoder-decoder approach for cross-lingual semantic role labeling Daza, Angel [Verfasser]; Frank, Anette [Verfasser]; Inui, Kentaro [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2019 DNB Subject Category Language Show details 12 Exploiting Background Knowledge for Argumentative Relation Classification Kobbe, Jonathan; Frank, Anette; Opitz, Juri; Becker, Maria; Stuckenschmidt, Heiner; Hulpus, Ioana. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 Abstract: Argumentative relation classification is the task of determining the type of relation (e.g., support or attack) that holds between two argument units. Current state-of-the-art models primarily exploit surface-linguistic features including discourse markers, modals or adverbials to classify argumentative relations. However, a system that performs argument analysis using mainly rhetorical features can be easily fooled by the stylistic presentation of the argument as opposed to its content, in cases where a weak argument is concealed by strong rhetorical means. This paper explores the difficulties and the potential effectiveness of knowledge-enhanced argument analysis, with the aim of advancing the state-of-the-art in argument analysis towards a deeper, knowledge-based understanding and representation of arguments. We propose an argumentative relation classification system that employs linguistic as well as knowledge-based features, and investigate the effects of injecting background knowledge into a neural baseline model for argumentative relation classification. Starting from a Siamese neural network that classifies pairs of argument units into support vs. attack relations, we extend this system with a set of features that encode a variety of features extracted from two complementary background knowledge resources: ConceptNet and DBpedia. We evaluate our systems on three different datasets and show that the inclusion of background knowledge can improve the classification performance by considerable margins. Thus, our work offers a first step towards effective, knowledge-rich argument analysis. Keyword: argument classification; argument structure analysis; argumentative functions; background knowledge; commonsense knowledge relations; Data processing Computer science URN: urn:nbn:de:0030-drops-103723 URL: https://doi.org/10.4230/OASIcs.LDK.2019.8 https://drops.dagstuhl.de/opus/volltexte/2019/10372/ BASE Hide details 13 Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling ... Daza, Angel; Frank, Anette. - : arXiv, 2019 BASE Show details 14 The MSC Data Set ... Marasović, Ana; Zhou, Mengfei; Frank, Anette. - : heiDATA, 2019 BASE Show details 15 Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension ... Mihaylov, Todor; Frank, Anette. - : arXiv, 2019 BASE Show details 16 Exploiting Background Knowledge for Argumentative Relation Classification ... Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2019 BASE Show details 17 Exploiting background knowledge for argumentative relation classification Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Leibniz-Zentrum für Informatik, 2019 BASE Show details 18 Exploring Issues in Lexical Acquisition Using Bayesian Modeling Börschinger, Benjamin [Verfasser]; Frank, Anette [Akademischer Betreuer]. - Heidelberg : Universitätsbibliothek Heidelberg, 2018 DNB Subject Category Language Show details 19 Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge ... Mihaylov, Todor; Frank, Anette. - : arXiv, 2018 BASE Show details 20 What do we need to know about an unknown word when parsing German Do, Bich-Ngoc [Verfasser]; Rehbein, Ines [Verfasser]; Frank, Anette [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017 DNB Subject Category Language Show details Page: 1 2 3 4

Mobile view All Catalogues UB Frankfurt Linguistik 4 IDS Mannheim 1 OLC Linguistik 0 UB Frankfurt Retrokatalog 0 DNB Subject Category Language 10 Institut für Empirische Sprachwissenschaft 0 Leibniz-Centre General Linguistics (ZAS) 2 Bibliographies BLLDB 11 BDSL 0 IDS Bibliografie zur deutschen Grammatik 3 IDS Bibliografie zur Gesprächsforschung 0 IDS Konnektoren im Deutschen 0 IDS Präpositionen im Deutschen 0 IDS OBELEX meta 0 MPI-SHH Linguistics Collection 0 MPI for Psycholinguistics 3 Linked Open Data catalogues Annohub 0 Online resources Link directory 0 Journal directory 0 Database directory 0 Dictionary directory 0 Open access documents BASE 29 Linguistik-Repository 0 IDS Publikationsserver 3 Online dissertations 0 Language Description Heritage 0