Search Results for author: S K{\"u}bler

Found 28 papers, 0 papers with code

Investigating Multilingual Abusive Language Detection: A Cautionary Tale

no code implementations RANLP 2019 Kenneth Steimel, Daniel Dakota, Yue Chen, S K{\"u}bler, ra

Based on our findings, we can conclude that a multilingual optimization of classifiers is not possible even in settings where comparable data sets are used.

Abusive Language

Similarity Based Genre Identification for POS Tagging Experts \& Dependency Parsing

no code implementations RANLP 2017 Atreyee Mukherjee, S K{\"u}bler, ra

The results show that the choice of similarity metric has an effect on results and that we can reach comparable accuracies to the joint topic modeling in POS tagging and dependency parsing, thus providing a viable and efficient approach to POS tagging and parsing a sentence by its genre expert.

Dependency Parsing Domain Adaptation +1

Towards Replicability in Parsing

no code implementations RANLP 2017 Daniel Dakota, S K{\"u}bler, ra

We investigate parsing replicability across 7 languages (and 8 treebanks), showing that choices concerning the use of grammatical functions in parsing or evaluation, the influence of the rare word threshold, as well as choices in test sentences and evaluation script options have considerable and often unexpected effects on parsing accuracies.

Non-Deterministic Segmentation for Chinese Lattice Parsing

no code implementations RANLP 2017 Hai Hu, Daniel Dakota, S K{\"u}bler, ra

Parsing Chinese critically depends on correct word segmentation for the parser since incorrect segmentation inevitably causes incorrect parses.

Morphological Analysis

Creating POS Tagging and Dependency Parsing Experts via Topic Modeling

no code implementations EACL 2017 Atreyee Mukherjee, S K{\"u}bler, ra, Matthias Scheutz

Part of speech (POS) taggers and dependency parsers tend to work well on homogeneous datasets but their performance suffers on datasets containing data from different genres.

Dependency Parsing Domain Adaptation +2

Discosuite - A parser test suite for German discontinuous structures

no code implementations LREC 2014 Wolfgang Maier, Miriam Kaeshammer, Peter Baumann, S K{\"u}bler, ra

However, for the evaluation of parser performance concerning a particular phenomenon, a test suite of sentences is needed in which this phenomenon has been identified.

Constituency Parsing Dependency Parsing

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