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Found 9 papers, 2 papers with code
From legal to technical concept: Towards an automated classification of German political Twitter postings as criminal offenses
In this article, we analyze which Twitter posts could actually be deemed offenses under German criminal law.
ltl.uni-due at SemEval-2019 Task 5: Simple but Effective Lexico-Semantic Features for Detecting Hate Speech in Twitter
On the Spanish data our system is ranked 25th out of 39.
LTL-UDE at SemEval-2019 Task 6: BERT and Two-Vote Classification for Categorizing Offensiveness
We present results for Subtask A and C of SemEval 2019 Shared Task 6.
Do LSTMs really work so well for PoS tagging? -- A replication study
A recent study by Plank et al. (2016) found that LSTM-based PoS taggers considerably improve over the current state-of-the-art when evaluated on the corpora of the Universal Dependencies project that use a coarse-grained tagset.
Assigning Fine-grained PoS Tags based on High-precision Coarse-grained Tagging
We propose a new approach to PoS tagging where in a first step, we assign a coarse-grained tag corresponding to the main syntactic category.
FlexTag: A Highly Flexible PoS Tagging Framework
We present FlexTag, a highly flexible PoS tagging framework.
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