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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 6 Hits 61 – 80 of 116 61 Universal Phone Recognition with a Multilingual Allophone System ... Li, Xinjian; Dalmia, Siddharth; Li, Juncheng. - : arXiv, 2020 BASE Show details 62 The Return of Lexical Dependencies: Neural Lexicalized PCFGs ... Zhu, Hao; Bisk, Yonatan; Neubig, Graham. - : arXiv, 2020 BASE Show details 63 XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ... Hu, Junjie; Ruder, Sebastian; Siddhant, Aditya. - : arXiv, 2020 BASE Show details 64 X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ... Jiang, Zhengbao; Anastasopoulos, Antonios; Araki, Jun. - : arXiv, 2020 BASE Show details 65 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 66 How Can We Know What Language Models Know? Jiang, Zhengbao; Xu, Frank F.; Araki, Jun... In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020) (2020) BASE Show details 67 Improving Candidate Generation for Low-resource Cross-lingual Entity Linking Zhou, Shuyan; Rijhwani, Shruti; Wieting, John; Carbonell, Jaime; Neubig, Graham In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020) Abstract: Cross-lingual entity linking (XEL) is the task of finding referents in a target-language knowledge base (KB) for mentions extracted from source-language texts. The first step of (X)EL is candidate generation, which retrieves a list of plausible candidate entities from the target-language KB for each mention. Approaches based on resources from Wikipedia have proven successful in the realm of relatively high-resource languages, but these do not extend well to low-resource languages with few, if any, Wikipedia pages. Recently, transfer learning methods have been shown to reduce the demand for resources in the low-resource languages by utilizing resources in closely related languages, but the performance still lags far behind their high-resource counterparts. In this paper, we first assess the problems faced by current entity candidate generation methods for low-resource XEL, then propose three improvements that (1) reduce the disconnect between entity mentions and KB entries, and (2) improve the robustness of the model to low-resource scenarios. The methods are simple, but effective: We experiment with our approach on seven XEL datasets and find that they yield an average gain of 16.9% in Top-30 gold candidate recall, compared with state-of-the-art baselines. Our improved model also yields an average gain of 7.9% in in-KB accuracy of end-to-end XEL. 1 Keyword: Computational linguistics. Natural language processing; P98-98.5 URL: https://doaj.org/article/2c64a6c204be4c2988941b57c8961921 https://doi.org/10.1162/tacl_a_00303 BASE Hide details 68 A Bilingual Generative Transformer for Semantic Sentence Embedding ... Wieting, John; Neubig, Graham; Berg-Kirkpatrick, Taylor. - : arXiv, 2019 BASE Show details 69 Generalized Data Augmentation for Low-Resource Translation ... Xia, Mengzhou; Kong, Xiang; Anastasopoulos, Antonios. - : arXiv, 2019 BASE Show details 70 Improving Robustness of Machine Translation with Synthetic Noise ... Vaibhav, Vaibhav; Singh, Sumeet; Stewart, Craig. - : arXiv, 2019 BASE Show details 71 Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ... Wang, Zirui; Xie, Jiateng; Xu, Ruochen. - : arXiv, 2019 BASE Show details 72 Towards Zero-resource Cross-lingual Entity Linking ... Zhou, Shuyan; Rijhwani, Shruti; Neubig, Graham. - : arXiv, 2019 BASE Show details 73 Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ... Wang, Xinyi; Neubig, Graham. - : arXiv, 2019 BASE Show details 74 Pushing the Limits of Low-Resource Morphological Inflection ... Anastasopoulos, Antonios; Neubig, Graham. - : arXiv, 2019 BASE Show details 75 Self-Attentional Models for Lattice Inputs ... Sperber, Matthias; Neubig, Graham; Pham, Ngoc-Quan. - : arXiv, 2019 BASE Show details 76 Multilingual Neural Machine Translation With Soft Decoupled Encoding ... Wang, Xinyi; Pham, Hieu; Arthur, Philip. - : arXiv, 2019 BASE Show details 77 Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ... Wieting, John; Berg-Kirkpatrick, Taylor; Gimpel, Kevin. - : arXiv, 2019 BASE Show details 78 Domain Adaptation of Neural Machine Translation by Lexicon Induction ... Hu, Junjie; Xia, Mengzhou; Neubig, Graham. - : arXiv, 2019 BASE Show details 79 Should All Cross-Lingual Embeddings Speak English? ... Anastasopoulos, Antonios; Neubig, Graham. - : arXiv, 2019 BASE Show details 80 DIRE: A Neural Approach to Decompiled Identifier Naming ... Lacomis, Jeremy; Yin, Pengcheng; Schwartz, Edward J.. - : arXiv, 2019 BASE Show details Page: 1 2 3 4 5 6

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