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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 5...7 Hits 1 – 20 of 121 1 Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ... Ryskina, Maria; Hovy, Eduard; Berg-Kirkpatrick, Taylor. - : arXiv, 2021 BASE Show details 2 Could you give me a hint? Generating inference graphs for defeasible reasoning ... Madaan, Aman; Rajagopal, Dheeraj; Tandon, Niket. - : arXiv, 2021 BASE Show details 3 Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ... 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; Berg-Kirkpatrick, Taylor; Gormley, Matthew. - : Underline Science Inc., 2021 BASE Show details 4 Could you give me a hint ? Generating inference graphs for defeasible reasoning ... 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; Hovy, Eduard; Madaan, Aman. - : Underline Science Inc., 2021 BASE Show details 5 Investigating Robustness of Dialog Models to Popular Figurative Language Constructs ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Berg-Kirkpatrick, Taylor; Gangal, Varun. - : Underline Science Inc., 2021 BASE Show details 6 Measuring and Improving Consistency in Pretrained Language Models ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Elazar, Yanai; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 7 More Identifiable yet Equally Performant Transformers for Text Classification ... 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; Bhardwaj, Rishabh; Hovy, Eduard. - : Underline Science Inc., 2021 BASE Show details 8 Improving Automated Evaluation of Open Domain Dialog via Diverse Reference Augmentation ... 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; Berg-Kirkpatrick, Taylor; Gangal, Varun Prashant. - : Underline Science Inc., 2021 BASE Show details 9 Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding ... 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; Hovy, Eduard; Kang, Dongyeop. - : Underline Science Inc., 2021 BASE Show details 10 SelfExplain: A Self-Explaining Architecture for Neural Text Classifiers ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Balachandran, Vidhisha; Hovy, Eduard. - : Underline Science Inc., 2021 BASE Show details 11 Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes ... Jo, Yohan; Bang, Seojin; Reed, Chris. - : arXiv, 2021 BASE Show details 12 StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ... Lyu, Yiwei; Liang, Paul Pu; Pham, Hai. - : arXiv, 2021 BASE Show details 13 StylePTB: A Compositional Benchmark for Fine-grained Controllable Text Style Transfer ... NAACL 2021 2021; Hovy, Eduard; Liang, Paul Pu. - : Underline Science Inc., 2021 BASE Show details 14 Classifying Argumentative Relations Using Logical Mechanisms and Argumentation Schemes ... 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; Bang, Seojin; Hovy, Eduard. - : Underline Science Inc., 2021 BASE Show details 15 Extracting Implicitly Asserted Propositions in Argumentation ... Jo, Yohan; Visser, Jacky; Reed, Chris. - : arXiv, 2020 BASE Show details 16 Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? ... Ravichander, Abhilasha; Belinkov, Yonatan; Hovy, Eduard. - : arXiv, 2020 BASE Show details 17 Measuring Forecasting Skill from Text ... Zong, Shi; Ritter, Alan; Hovy, Eduard. - : arXiv, 2020 BASE Show details 18 On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT ... The 28th International Conference on Computational Linguistics 2020; Cheung, Jackie Chi Kit; Hovy, Eduard. - : Underline Science Inc., 2020 BASE Show details 19 On aligning OpenIE extractions with Knowledge Bases: A case study Gashteovski, Kiril; Gemulla, Rainer; Kotnis, Bhushan; Hertling, Sven; Meilicke, Christian. - : Association for Computational Linguistics (ACL), 2020 Abstract: Open information extraction (OIE) is the task of extracting relations and their corresponding arguments from a natural language text in un- supervised manner. Outputs of such systems are used for downstream tasks such as ques- tion answering and automatic knowledge base (KB) construction. Many of these downstream tasks rely on aligning OIE triples with refer- ence KBs. Such alignments are usually eval- uated w.r.t. a specific downstream task and, to date, no direct manual evaluation of such alignments has been performed. In this paper, we directly evaluate how OIE triples from the OPIEC corpus are related to the DBpedia KB w.r.t. information content. First, we investigate OPIEC triples and DBpedia facts having the same arguments by comparing the information on the OIE surface relation with the KB rela- tion. Second, we evaluate the expressibility of general OPIEC triples in DBpedia. We in- vestigate whether—and, if so, how—a given OIE triple can be mapped to a single KB fact. We found that such mappings are not always possible because the information in the OIE triples tends to be more specific. Our evalua- tion suggests, however, that significant part of OIE triples can be expressed by means of KB formulas instead of individual facts. Keyword: 004 Informatik URL: https://madoc.bib.uni-mannheim.de/61524/1/On%20Aligning%20OpenIE%20Extractions%20with%20Knowledge%20Bases%20A%20Case%20Study.pdf https://madoc.bib.uni-mannheim.de/61524 https://doi.org/10.18653/v1/2020.eval4nlp-1.14 https://madoc.bib.uni-mannheim.de/61524/ BASE Hide details 20 Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks Sachan, Mrinmaya; Dubey, Avinava; Hovy, Eduard H.... In: Computational Linguistics, Vol 45, Iss 4, Pp 627-665 (2020) (2020) BASE Show details Page: 1 2 3 4 5...7

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