| Challenge: | SSPR is a Python 3.5 application based on the Microsoft Cognitive Toolkit 2.0 Python API. |
| Approach: | a Python 3.5 application is based on the Microsoft Cognitive Toolkit 2.0 Python API. |
| Outcome: | SSPR outperforms the best individual parser at the CONLL 2017 dependency parsing shared task. |
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| Challenge: | COMBO is an end-to-end NLP system for accurate part-of-speech tagging, morphological analysis, and (enhanced) dependency parsing. |
| Approach: | They propose a fully neural NLP system for accurate part-of-speech tagging, morphological analysis, lemmatisation, and (enhanced) dependency parsing. |
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Neural Reranking for Dependency Parsing: An Evaluation (2020.acl-main)
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| Challenge: | Recent work shows that neural rerankers can improve dependency parsing results over the top k trees produced by a base parser. |
| Approach: | They propose to use a discriminative reranker to improve dependency parsing results . they propose to incorporate global information into the model to improve parse accuracies . |
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A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages (2021.eacl-srw)
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Dynamic Head Selection for Neural Lexicalized Constituency Parsing (2025.acl-long)
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Towards the Conversion of National Corpus of Polish to Universal Dependencies (2020.lrec-1)
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| Challenge: | a paper aims at enriching the manually annotated part of National Corpus of Polish with a syntactic layer. |
| Approach: | They enrich manually annotated part of Polish National Corpus with a syntactic layer and a UD dependency graph. |
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TurkishDelightNLP: A Neural Turkish NLP Toolkit (2022.naacl-demo)
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| Challenge: | a neural Turkish NLP toolkit performs computational linguistic analyses from morphological level to semantic level. |
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Syntactic Nuclei in Dependency Parsing – A Multilingual Exploration (2021.eacl-main)
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| Challenge: | Unsupervised parsing is a task that can be learned without substantial prior knowledge. |
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Valency-Augmented Dependency Parsing (D18-1)
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| Challenge: | valency analysis is a complex task that requires a large number of subcategorizations, such as the number and types of syntactic dependents. |
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