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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 Hits 1 – 18 of 18 1 Optimizing segmentation granularity for neural machine translation [<Journal>] Salesky, Elizabeth [Verfasser]; Runge, Andrew [Verfasser]; Coda, Alex [Verfasser]. DNB Subject Category Language Show details 2 A set of recommendations for assessing human-machine parity in language translation Läubli, Samuel; Castilho, Sheila; Neubig, Graham... In: Läubli, Samuel orcid:0000-0001-5362-4106 , Castilho, Sheila orcid:0000-0002-8416-6555 , Neubig, Graham, Sennrich, Rico orcid:0000-0002-1438-4741 , Shen, Qinlan and Toral, Antonio orcid:0000-0003-2357-2960 (2020) A set of recommendations for assessing human-machine parity in language translation. Journal of Artificial Intelligence Research, 67 . pp. 653-672. ISSN 1076-9757 (2020) BASE Show details 3 Speech technology for unwritten languages Scharenborg, Odette; Besacier, Laurent; Black, Alan... In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, &#x27E8;10.1109/TASLP.2020.2973896&#x27E9; (2020) BASE Show details 4 AlloVera: a multilingual allophone database Mortensen, David,; Li, Xinjian; Littell, Patrick... In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020) BASE Show details 5 AlloVera: A Multilingual Allophone Database ... Mortensen, David R.; Li, Xinjian; Littell, Patrick. - : arXiv, 2020 BASE Show details 6 Explicit Alignment Objectives for Multilingual Bidirectional Encoders ... Hu, Junjie; Johnson, Melvin; Firat, Orhan. - : arXiv, 2020 BASE Show details 7 Balancing Training for Multilingual Neural Machine Translation ... Wang, Xinyi; Tsvetkov, Yulia; Neubig, Graham. - : arXiv, 2020 BASE Show details 8 Automatic Extraction of Rules Governing Morphological Agreement ... Chaudhary, Aditi; Anastasopoulos, Antonios; Pratapa, Adithya. - : arXiv, 2020 BASE Show details 9 A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ... Neubig, Graham; Rijhwani, Shruti; Palmer, Alexis. - : arXiv, 2020 BASE Show details 10 A Set of Recommendations for Assessing Human-Machine Parity in Language Translation ... Läubli, Samuel; Castilho, Sheila; Neubig, Graham. - : arXiv, 2020 BASE Show details 11 Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation ... Gao, Luyu; Wang, Xinyi; Neubig, Graham. - : arXiv, 2020 BASE Show details 12 Universal Phone Recognition with a Multilingual Allophone System ... Li, Xinjian; Dalmia, Siddharth; Li, Juncheng. - : arXiv, 2020 BASE Show details 13 The Return of Lexical Dependencies: Neural Lexicalized PCFGs ... Zhu, Hao; Bisk, Yonatan; Neubig, Graham. - : arXiv, 2020 BASE Show details 14 XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ... Hu, Junjie; Ruder, Sebastian; Siddhant, Aditya. - : arXiv, 2020 BASE Show details 15 X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ... Jiang, Zhengbao; Anastasopoulos, Antonios; Araki, Jun. - : arXiv, 2020 BASE Show details 16 AlloVera: a multilingual allophone database Mortensen, David,; Li, Xinjian; Littell, Patrick... In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020) BASE Show details 17 How Can We Know What Language Models Know? Jiang, Zhengbao; Xu, Frank F.; Araki, Jun; Neubig, Graham In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020) (2020) Abstract: Recent work has presented intriguing results examining the knowledge contained in language models (LMs) by having the LM fill in the blanks of prompts such as “ Obama is a __ by profession”. These prompts are usually manually created, and quite possibly sub-optimal; another prompt such as “ Obama worked as a __ ” may result in more accurately predicting the correct profession. Because of this, given an inappropriate prompt, we might fail to retrieve facts that the LM does know, and thus any given prompt only provides a lower bound estimate of the knowledge contained in an LM. In this paper, we attempt to more accurately estimate the knowledge contained in LMs by automatically discovering better prompts to use in this querying process. Specifically, we propose mining-based and paraphrasing-based methods to automatically generate high-quality and diverse prompts, as well as ensemble methods to combine answers from different prompts. Extensive experiments on the LAMA benchmark for extracting relational knowledge from LMs demonstrate that our methods can improve accuracy from 31.1% to 39.6%, providing a tighter lower bound on what LMs know. We have released the code and the resulting LM Prompt And Query Archive (LPAQA) at https://github.com/jzbjyb/LPAQA . Keyword: Computational linguistics. Natural language processing; P98-98.5 URL: https://doaj.org/article/861ecb5d6ec2467287cf263aa94e6a75 https://doi.org/10.1162/tacl_a_00324 BASE Hide details 18 Improving Candidate Generation for Low-resource Cross-lingual Entity Linking Zhou, Shuyan; Rijhwani, Shruti; Wieting, John... In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020) BASE Show details

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