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Adversarial Learning for Discourse Rhetorical Structure Parsing ...
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XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation ...
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Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation ...
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Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training ...
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Extraction of causal relations based on SBEL and BERT model
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In: Database (Oxford) (2021)
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Modeling Source Syntax for Neural Machine Translation ...
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Abstract:
Even though a linguistics-free sequence to sequence model in neural machine translation (NMT) has certain capability of implicitly learning syntactic information of source sentences, this paper shows that source syntax can be explicitly incorporated into NMT effectively to provide further improvements. Specifically, we linearize parse trees of source sentences to obtain structural label sequences. On the basis, we propose three different sorts of encoders to incorporate source syntax into NMT: 1) Parallel RNN encoder that learns word and label annotation vectors parallelly; 2) Hierarchical RNN encoder that learns word and label annotation vectors in a two-level hierarchy; and 3) Mixed RNN encoder that stitchingly learns word and label annotation vectors over sequences where words and labels are mixed. Experimentation on Chinese-to-English translation demonstrates that all the three proposed syntactic encoders are able to improve translation accuracy. It is interesting to note that the simplest RNN encoder, ... : Accepted by ACL 2017 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1705.01020 https://dx.doi.org/10.48550/arxiv.1705.01020
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Chemical-induced disease relation extraction with various linguistic features
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Natural Language Processing and Chinese Computing : Second CCF Conference, NLPCC 2013, Chongqing, China, November 15-19, 2013. Proceedings
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UB Frankfurt Linguistik
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Natural Language Processing and Chinese Computing : First CCF Conference, NLPCC 2012, Beijing, China, October 31-November 5, 2012. Proceedings
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UB Frankfurt Linguistik
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