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Hits 61 – 80 of 116
61
Universal Phone Recognition with a Multilingual Allophone System ...
Li, Xinjian
;
Dalmia, Siddharth
;
Li, Juncheng
. - : arXiv, 2020
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62
The Return of Lexical Dependencies: Neural Lexicalized PCFGs ...
Zhu, Hao
;
Bisk, Yonatan
;
Neubig, Graham
. - : arXiv, 2020
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63
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ...
Hu, Junjie
;
Ruder, Sebastian
;
Siddhant, Aditya
. - : arXiv, 2020
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64
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ...
Jiang, Zhengbao
;
Anastasopoulos, Antonios
;
Araki, Jun
. - : arXiv, 2020
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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)
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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)
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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
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68
A Bilingual Generative Transformer for Semantic Sentence Embedding ...
Wieting, John
;
Neubig, Graham
;
Berg-Kirkpatrick, Taylor
. - : arXiv, 2019
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69
Generalized Data Augmentation for Low-Resource Translation ...
Xia, Mengzhou
;
Kong, Xiang
;
Anastasopoulos, Antonios
. - : arXiv, 2019
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70
Improving Robustness of Machine Translation with Synthetic Noise ...
Vaibhav, Vaibhav
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Singh, Sumeet
;
Stewart, Craig
. - : arXiv, 2019
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71
Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework ...
Wang, Zirui
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Xie, Jiateng
;
Xu, Ruochen
. - : arXiv, 2019
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72
Towards Zero-resource Cross-lingual Entity Linking ...
Zhou, Shuyan
;
Rijhwani, Shruti
;
Neubig, Graham
. - : arXiv, 2019
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73
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation ...
Wang, Xinyi
;
Neubig, Graham
. - : arXiv, 2019
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74
Pushing the Limits of Low-Resource Morphological Inflection ...
Anastasopoulos, Antonios
;
Neubig, Graham
. - : arXiv, 2019
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75
Self-Attentional Models for Lattice Inputs ...
Sperber, Matthias
;
Neubig, Graham
;
Pham, Ngoc-Quan
. - : arXiv, 2019
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76
Multilingual Neural Machine Translation With Soft Decoupled Encoding ...
Wang, Xinyi
;
Pham, Hieu
;
Arthur, Philip
. - : arXiv, 2019
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77
Beyond BLEU: Training Neural Machine Translation with Semantic Similarity ...
Wieting, John
;
Berg-Kirkpatrick, Taylor
;
Gimpel, Kevin
. - : arXiv, 2019
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78
Domain Adaptation of Neural Machine Translation by Lexicon Induction ...
Hu, Junjie
;
Xia, Mengzhou
;
Neubig, Graham
. - : arXiv, 2019
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79
Should All Cross-Lingual Embeddings Speak English? ...
Anastasopoulos, Antonios
;
Neubig, Graham
. - : arXiv, 2019
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80
DIRE: A Neural Approach to Decompiled Identifier Naming ...
Lacomis, Jeremy
;
Yin, Pengcheng
;
Schwartz, Edward J.
. - : arXiv, 2019
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