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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 41 – 60 of 71 41 Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction ... Gerz, Daniela; Vulić, Ivan; Ponti, Edoardo. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 42 Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation ... Vulic, Ivan; Korhonen, Anna-Leena; Linguist, Assoc Computat. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 43 Investigating the cross-lingual translatability of VerbNet-style classification. ... Majewska, Olga; Vulić, Ivan; McCarthy, Diana. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 44 Post-Specialisation: Retrofitting Vectors of Words Unseen in Lexical Resources ... Vulic, Ivan; Glavaš, Goran; Mrkšić, Nikola. - : Apollo - University of Cambridge Repository, 2018 BASE Show details 45 Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction Gerz, Daniela; Vulić, Ivan; Ponti, Edoardo; Naradowsky, Jason; Reichart, Roi; Korhonen, Anna-Leena. - : MIT Press - Journals, 2018. : Transactions of the Association for Computational Linguistics, 2018 Abstract: Neural architectures are prominent in the construction of language models (LMs). However, word-level prediction is typically agnostic of subword-level information (characters and character sequences) and operates over a closed vocabulary, consisting of a limited word set. Indeed, while subword-aware models boost performance across a variety of NLP tasks, previous work did not evaluate the ability of these models to assist next-word prediction in language modeling tasks. Such subword-level informed models should be particularly effective for morphologically-rich languages (MRLs) that exhibit high type-to-token ratios. In this work, we present a large-scale LM study on 50 typologically diverse languages covering a wide variety of morphological systems, and offer new LM benchmarks to the community, while considering subword-level information. The main technical contribution of our work is a novel method for injecting subword-level information into semantic word vectors, integrated into the neural language modeling training, to facilitate word-level prediction. We conduct experiments in the LM setting where the number of infrequent words is large, and demonstrate strong perplexity gains across our 50 languages, especially for morphologically-rich languages. Our code and data sets are publicly available. ; This work is supported by the ERC Consolidator Grant LEXICAL (648909) URL: https://www.repository.cam.ac.uk/handle/1810/279936 https://doi.org/10.17863/CAM.27304 BASE Hide details 46 Investigating the cross-lingual translatability of VerbNet-style classification. Majewska, Olga; Vulić, Ivan; McCarthy, Diana. - : Springer Science and Business Media LLC, 2018. : Lang Resour Eval, 2018 BASE Show details 47 Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation Vulic, Ivan; Korhonen, Anna-Leena; Linguist, Assoc Computat. - : REPRESENTATION LEARNING FOR NLP, 2018 BASE Show details 48 Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine. Chiu, Billy; Pyysalo, Sampo; Vulić, Ivan. - : BioMed Central, 2018. : BMC bioinformatics, 2018 BASE Show details 49 Bio-SimVerb and Bio-SimLex: wide-coverage evaluation sets of word similarity in biomedicine. Chiu, Billy; Pyysalo, Sampo; Vulić, Ivan. - : Springer Science and Business Media LLC, 2018. : BMC Bioinformatics, 2018 BASE Show details 50 Dependency parsing of learner English Huang, Yan; Murakami, Akira; Alexopoulou, Dora. - : John Benjamins Publishing Company, 2018. : International Journal of Corpus Linguistics, 2018 BASE Show details 51 Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP Vulic, Ivan; Ponti, Edoardo; Reichart, Roi. - : Association for Computational Linguistics, 2018. : Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018), 2018 BASE Show details 52 Bio-SimVerb Chiu, Hon Wing; Pyysalo, Sampo; Vulic, Ivan. - 2018 BASE Show details 53 Acquiring verb classes through bottom-up semantic verb clustering Majewska, Olga; McCarthy, D; Vulić, I. - : LREC 2018 - 11th International Conference on Language Resources and Evaluation, 2018 BASE Show details 54 Automatic Selection of Context Configurations for Improved Class-Specific Word Representations ... Vulić, Ivan; Schwartz, Roy; Rappoport, Ari. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 55 Decoding sentiment from distributed representations of sentences ... Ponti, Edoardo; Vulić, I; Korhonen, Anna-Leena. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 56 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment ... Vulić, I; Gerz, D; Kiela, D. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 57 Morph-fitting: Fine-tuning word vector spaces with simple language-specific rules ... Vulic, Ivan; Mrkšic, N; Reichart, R. - : Apollo - University of Cambridge Repository, 2017 BASE Show details 58 Decoding sentiment from distributed representations of sentences Ponti, Edoardo; Vulić, I; Korhonen, Anna-Leena. - : Association for Computational Linguistics, 2017. : *SEM 2017 - 6th Joint Conference on Lexical and Computational Semantics, Proceedings, 2017 BASE Show details 59 HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment Vulić, I; Gerz, D; Kiela, D. - : MIT Press, 2017. : Computational Linguistics, 2017 BASE Show details 60 Event-Related Features in Feedforward Neural Networks Contribute to Identifying Causal Relations in Discourse Ponti, Edoardo; Korhonen, Anna-Leena. - : LSDSem 2017 - 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-Level Semantics, Proceedings of the Workshop, 2017 BASE Show details Page: 1 2 3 4

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