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Cross-Lingual Dependency Parsing for Closely Related Languages - Helsinki's Submission to VarDial 2017
This paper describes the submission from the University of Helsinki to t...
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Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study
Cross-lingual dependency parsing involves transferring syntactic knowled...
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Don't Parse, Insert: Multilingual Semantic Parsing with Insertion Based Decoding
Semantic parsing is one of the key components of natural language unders...
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Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers
This paper explores the task of leveraging typology in the context of cr...
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Robust Cross-lingual Hypernymy Detection using Dependency Context
Cross-lingual Hypernymy Detection involves determining if a word in one ...
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Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing
Cross-lingual transfer is the major means toleverage knowledge from high...
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Cross-lingual Dependency Parsing as Domain Adaptation
In natural language processing (NLP), cross-lingual transfer learning is...
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Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages
In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding. We present an end-to-end graph-based neural network dependency parser that can be trained to reproduce matrices of edge scores, which can be directly projected across word alignments. We show that our approach to cross-lingual dependency parsing is not only simpler, but also achieves an absolute improvement of 2.25 compared to the previous state of the art.
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