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1
Unsupervised Cross-Lingual Information Retrieval using Monolingual Data Only ...
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Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only ...
Litschko, Robert; Glavas, Goran; Ponzetto, Simone Paolo. - : Apollo - University of Cambridge Repository, 2018
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Adversarial Propagation and Zero-Shot Cross-Lingual Transfer of Word Vector Specialization ...
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4
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
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5
A Resource-Light Method for Cross-Lingual Semantic Textual Similarity ...
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6
Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ...
Vulic, Ivan; Glavaš, Goran; Mrkšić, Nikola. - : Apollo - University of Cambridge Repository, 2018
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7
Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only
Litschko, Robert; Glavas, Goran; Ponzetto, Simone Paolo. - : ACM, 2018. : ACM/SIGIR PROCEEDINGS 2018, 2018
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8
ArguminSci: a tool for analyzing argumentation and rhetorical aspects in scientific writing
Glavaš, Goran; Lauscher, Anne; Eckert, Kai. - : Association for Computational Linguistics, 2018
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9
An argument-annotated corpus of scientific publications
Ponzetto, Simone Paolo; Lauscher, Anne; Glavaš, Goran. - : Association for Computational Linguistics, 2018
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10
Investigating the role of argumentation in the rhetorical analysis of scientific publications with neural multi-task learning models
Ponzetto, Simone Paolo; Eckert, Kai; Lauscher, Anne; Glavaš, Goran. - : Association for Computational Linguistics, 2018
Abstract: Exponential growth in the number of scientific publications yields the need for effective automatic analysis of rhetorical aspects of scientific writing. Acknowledging the argumentative nature of scientific text, in this work we investigate the link between the argumentative structure of scientific publications and rhetorical aspects such as discourse categories or citation contexts. To this end, we (1) augment a corpus of scientific publications annotated with four layers of rhetoric annotations with argumentation annotations and (2) investigate neural multi-task learning architectures combining argument extraction with a set of rhetorical classification tasks. By coupling rhetorical classifiers with the extraction of argumentative components in a joint multi-task learning setting, we obtain significant performance gains for different rhetorical analysis tasks.
Keyword: 004 Informatik
URL: https://madoc.bib.uni-mannheim.de/46086/
https://madoc.bib.uni-mannheim.de/46086/1/emnlp-18-multi%20%2831%29.pdf
https://madoc.bib.uni-mannheim.de/46086
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11
Post-specialisation: Retrofitting vectors of words unseen in lexical resources
Mrkšić, Nikola; Glavaš, Goran; Korhonen, Anna. - : Association for Computational Linguistics, 2018
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12
Discriminating between lexico-semantic relations with the specialization tensor model
Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018
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13
Adversarial propagation and zero-shot cross-lingual transfer of word vector specialization
Ponti, Edoardo Maria; Vulić, Ivan; Glavaš, Goran. - : Association for Computational Linguistics, 2018
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14
Explicit retrofitting of distributional word vectors
Glavaš, Goran; Vulić, Ivan. - : Association for Computational Linguistics, 2018
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15
A resource-light method for cross-lingual semantic textual similarity
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