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Li, Lei (8)
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021 (8)
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Simple Search
Hits 1 – 8 of 8
1
Personalized Transformer for Explainable Recommendation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Chen, Li
;
Li, Lei
. - : Underline Science Inc., 2021
BASE
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2
Learning Shared Semantic Space for Speech-to-Text Translation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Han, Chi
;
Ji, Heng
. - : Underline Science Inc., 2021
BASE
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3
Glancing Transformer for Non-Autoregressive Neural Machine Translation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Bao, Yu
;
Li, Lei
. - : Underline Science Inc., 2021
BASE
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4
Probabilistic Graph Reasoning for Natural Proof Generation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Chen, chenjiaze@bytedance.com
;
Chen, Jiangjie
. - : Underline Science Inc., 2021
BASE
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5
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Chang, Baobao
;
Li, Lei
;
Liu, Tianyu
;
Xu, Runxin
. - : Underline Science Inc., 2021
Abstract:
Read paper: https://www.aclanthology.org/2021.acl-long.274 Abstract: Document-level event extraction aims to recognize event information from a whole piece of article. Existing methods are not effective due to two challenges of this task: a) the target event arguments are scattered across sentences; b) the correlation among events in a document is non-trivial to model. In this paper, we propose Heterogeneous Graph-based Interaction Model with a Tracker (GIT) to solve the aforementioned two challenges. For the first challenge, GIT constructs a heterogeneous graph interaction network to capture global interactions among different sentences and entity mentions. For the second, GIT introduces a Tracker module to track the extracted events and hence capture the interdependency among the events. Experiments on a large-scale dataset (Zheng et al, 2019) show GIT outperforms the previous methods by 2.8 F1. Further analysis reveals \modelname is effective in extracting multiple correlated events and event arguments ...
Keyword:
Computational Linguistics
;
Condensed Matter Physics
;
Deep Learning
;
Electromagnetism
;
FOS Physical sciences
;
Information and Knowledge Engineering
;
Neural Network
;
Semantics
URL:
https://dx.doi.org/10.48448/aq2m-jn59
https://underline.io/lecture/25616-document-level-event-extraction-via-heterogeneous-graph-based-interaction-model-with-a-tracker
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6
Learning Language Specific Sub-network for Multilingual Machine Translation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Li, Lei
;
Lin, Zehui
. - : Underline Science Inc., 2021
BASE
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7
Contrastive Aligned Joint Learning for Multilingual Summarization ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Li, Lei
;
Wang, Danqing
. - : Underline Science Inc., 2021
BASE
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8
Contrastive Learning for Many-to-many Multilingual Neural Machine Translation ...
The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021
;
Li, Lei
;
Pan, Xiao
. - : Underline Science Inc., 2021
BASE
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