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Generalized Quantifiers as a Source of Error in Multilingual NLU Benchmarks ...
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Great Service! Fine-grained Parsing of Implicit Arguments ...
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Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color ...
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A Multilingual Benchmark for Probing Negation-Awareness with Minimal Pairs ...
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Does injecting linguistic structure into language models lead to better alignment with brain recordings? ...
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Køpsala: Transition-Based Graph Parsing via Efficient Training and Effective Encoding ...
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Abstract:
We present Køpsala, the Copenhagen-Uppsala system for the Enhanced Universal Dependencies Shared Task at IWPT 2020. Our system is a pipeline consisting of off-the-shelf models for everything but enhanced graph parsing, and for the latter, a transition-based graph parser adapted from Che et al. (2019). We train a single enhanced parser model per language, using gold sentence splitting and tokenization for training, and rely only on tokenized surface forms and multilingual BERT for encoding. While a bug introduced just before submission resulted in a severe drop in precision, its post-submission fix would bring us to 4th place in the official ranking, according to average ELAS. Our parser demonstrates that a unified pipeline is effective for both Meaning Representation Parsing and Enhanced Universal Dependencies. ... : IWPT shared task 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2005.12094 https://arxiv.org/abs/2005.12094
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Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics ...
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SemEval-2019 Task 1: Cross-lingual Semantic Parsing with UCCA ...
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Universal Dependency Parsing with a General Transition-Based DAG Parser ...
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SemEval 2019 Shared Task: Cross-lingual Semantic Parsing with UCCA - Call for Participation ...
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A Transition-Based Directed Acyclic Graph Parser for UCCA ...
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