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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 Hits 1 – 20 of 53 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 Exploiting Background Knowledge for Argumentative Relation Classification Kobbe, Jonathan; Frank, Anette; Opitz, Juri. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019 BASE Show details 12 Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling ... Daza, Angel; Frank, Anette. - : arXiv, 2019 BASE Show details 13 The MSC Data Set ... Marasović, Ana; Zhou, Mengfei; Frank, Anette. - : heiDATA, 2019 BASE Show details 14 Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension ... Mihaylov, Todor; Frank, Anette. - : arXiv, 2019 BASE Show details 15 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 16 Exploiting background knowledge for argumentative relation classification Kobbe, Jonathan; Opitz, Juri; Becker, Maria. - : Leibniz-Zentrum für Informatik, 2019 BASE Show details 17 Knowledgeable Reader: Enhancing Cloze-Style Reading Comprehension with External Commonsense Knowledge ... Mihaylov, Todor; Frank, Anette. - : arXiv, 2018 BASE Show details 18 A Mention-Ranking Model for Abstract Anaphora Resolution ... Marasović, Ana; Born, Leo; Opitz, Juri. - : arXiv, 2017 BASE Show details 19 Story Cloze Ending Selection Baselines and Data Examination ... Mihaylov, Todor; Frank, Anette. - : arXiv, 2017 Abstract: This paper describes two supervised baseline systems for the Story Cloze Test Shared Task (Mostafazadeh et al., 2016a). We first build a classifier using features based on word embeddings and semantic similarity computation. We further implement a neural LSTM system with different encoding strategies that try to model the relation between the story and the provided endings. Our experiments show that a model using representation features based on average word embedding vectors over the given story words and the candidate ending sentences words, joint with similarity features between the story and candidate ending representations performed better than the neural models. Our best model achieves an accuracy of 72.42, ranking 3rd in the official evaluation. ... : Submission for the LSDSem 2017 - Linking Models of Lexical, Sentential and Discourse-level Semantics - Shared Task ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1703.04330 https://dx.doi.org/10.48550/arxiv.1703.04330 BASE Hide details 20 Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention Becker, Maria; Palmer, Alexis; Staniek, Michael... In: 6th Joint Conference on Lexical and Computational Semantics, August 3-4, 2017. Vancouver, Canada. (2017) BASE Show details Page: 1 2 3

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