MultiVitaminBooster at PARSEME Shared Task 2020: Combining Window- and Dependency-Based Features with Multilingual Contextualised Word Embeddings for VMWE Detection

no code implementations • COLING (MWE) 2020 • Sebastian Gombert, Sabine Bartsch

In this paper, we present MultiVitaminBooster, a system implemented for the PARSEME shared task on semi-supervised identification of verbal multiword expressions - edition 1. 2.

Language Modelling token-classification +2

TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity

no code implementations • SEMEVAL 2021 • Sebastian Gombert, Sabine Bartsch

In this paper, we present our systems submitted to SemEval-2021 Task 1 on lexical complexity prediction. The aim of this shared task was to create systems able to predict the lexical complexity of word tokens and bigram multiword expressions within a given sentence context, a continuous value indicating the difficulty in understanding a respective utterance.

Sentence Word Embeddings

EmpiriST 2015: A Shared Task on the Automatic Linguistic Annotation of Computer-Mediated Communication and Web Corpora

no code implementations • WS 2016 • Michael Bei{\ss}wenger, Sabine Bartsch, Stefan Evert, Kay-Michael W{\"u}rzner

Part-Of-Speech Tagging

CSNIPER - Annotation-by-query for Non-canonical Constructions in Large Corpora

no code implementations • ACL 2012 • Richard Eckart de Castilho, Sabine Bartsch, Iryna Gurevych

Part-Of-Speech Tagging