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Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ...
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Generalization in Generation: A closer look at Exposure Bias
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In: Proceedings of the 3rd Workshop on Neural Generation and Translation (2019)
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Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 313-325 (2019) (2019)
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Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the “Speaking rosetta” JSALT 2017 workshop
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In: ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing ; https://hal.archives-ouvertes.fr/hal-01709578 ; ICASSP 2018 - IEEE International Conference on Acoustics, Speech and Signal Processing, Apr 2018, Calgary, Alberta, Canada (2018)
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Evaluating phonemic transcription of low-resource tonal languages for language documentation
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In: LREC 2018 (Language Resources and Evaluation Conference) ; https://halshs.archives-ouvertes.fr/halshs-01709648 ; LREC 2018 (Language Resources and Evaluation Conference), May 2018, Miyazaki, Japan. pp.3356-3365 (2018)
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Integrating automatic transcription into the language documentation workflow: Experiments with Na data and the Persephone toolkit
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In: ISSN: 1934-5275 ; EISSN: 1934-5275 ; Language Documentation & Conservation ; https://halshs.archives-ouvertes.fr/halshs-01841979 ; Language Documentation & Conservation, University of Hawaiʻi Press 2018, 12, pp.393-429 ; hdl.handle.net/10125/24793 (2018)
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Adapting Word Embeddings to New Languages with Morphological and Phonological Subword Representations ...
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88 |
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models ...
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89 |
Towards a General-Purpose Linguistic Annotation Backend ...
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90 |
Multi-Source Neural Machine Translation with Missing Data ...
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Rapid Adaptation of Neural Machine Translation to New Languages ...
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Findings of the Second Workshop on Neural Machine Translation and Generation ...
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94 |
Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop ...
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Attentive Interaction Model: Modeling Changes in View in Argumentation ...
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Abstract:
We present a neural architecture for modeling argumentative dialogue that explicitly models the interplay between an Opinion Holder's (OH's) reasoning and a challenger's argument, with the goal of predicting if the argument successfully changes the OH's view. The model has two components: (1) vulnerable region detection, an attention model that identifies parts of the OH's reasoning that are amenable to change, and (2) interaction encoding, which identifies the relationship between the content of the OH's reasoning and that of the challenger's argument. Based on evaluation on discussions from the Change My View forum on Reddit, the two components work together to predict an OH's change in view, outperforming several baselines. A posthoc analysis suggests that sentences picked out by the attention model are addressed more frequently by successful arguments than by unsuccessful ones. ... : 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ...
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Keyword:
Computation and Language cs.CL; Computers and Society cs.CY; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.1804.00065 https://arxiv.org/abs/1804.00065
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Neural Cross-Lingual Named Entity Recognition with Minimal Resources ...
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Zero-shot Neural Transfer for Cross-lingual Entity Linking ...
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Neural Factor Graph Models for Cross-lingual Morphological Tagging ...
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