14 citations · 20 across the 10 of their papers we have counts for
13 papers · 1 filter
The LSCD Benchmark: a Testbed for Diachronic Word Meaning Tasks
Dominik Schlechtweg, Sachin Yadav, Jonas Kuhn +1
Lexical Semantic Change Detection (LSCD) is a complex, lemma-level task, which is usually operationalized based on two subsequently applied usage-level tasks: First, Word-in-Contex…
Between welcome culture and border fence. A dataset on the European refugee crisis in German newspaper reports
Nico Blokker, André Blessing, Erenay Dayanik +3
Newspaper reports provide a rich source of information on the unfolding of public debate on specific policy fields that can serve as basis for inquiry in political science. Such de…
Negation-Instance Based Evaluation of End-to-End Negation Resolution
Elizaveta Sineva, Stefan Grünewald, Annemarie Friedrich +1
In this paper, we revisit the task of negation resolution, which includes the subtasks of cue detection (e.g. "not", "never") and scope resolution. In the context of previous share…
Lexical Semantic Change Discovery
Sinan Kurtyigit, Maike Park, Dominik Schlechtweg +2
While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In th…
Explaining and Improving BERT Performance on Lexical Semantic Change Detection
Severin Laicher, Sinan Kurtyigit, Dominik Schlechtweg +2
Type- and token-based embedding architectures are still competing in lexical semantic change detection. The recent success of type-based models in SemEval-2020 Task 1 has raised th…
Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary
Stefan Grünewald, Annemarie Friedrich, Jonas Kuhn
The introduction of pre-trained transformer-based contextualized word embeddings has led to considerable improvements in the accuracy of graph-based parsers for frameworks such as…