Search Results for author:
Found 10 papers, 4 papers with code
TS-ANNO: An Annotation Tool to Build, Annotate and Evaluate Text Simplification Corpora
TS-ANNO can be used for i) sentence–wise alignment, ii) rating alignment pairs (e. g., w. r. t.
HHUplexity at Text Complexity DE Challenge 2022
In this paper, we describe our submission to the ‘Text Complexity DE Challenge 2022’ shared task on predicting the complexity of German sentences.
EASSE-DE: Easier Automatic Sentence Simplification Evaluation for German
In this work, we propose EASSE-multi, a framework for easier automatic sentence evaluation for languages other than English.
DEPLAIN: A German Parallel Corpus with Intralingual Translations into Plain Language for Sentence and Document Simplification
13k sentence pairs) and a web-domain corpus (approx.
Ranked #1 on
Text Simplification
on DEplain-APA-doc
RS\_GV at SemEval-2021 Task 1: Sense Relative Lexical Complexity Prediction
We present the technical report of the system called RS{\_}GV at SemEval-2021 Task 1 on lexical complexity prediction of English words.
Do you Feel Certain about your Annotation? A Web-based Semantic Frame Annotation Tool Considering Annotators' Concerns and Behaviors
In this system demonstration paper, we present an open-source web-based application with a responsive design for modular semantic frame annotation (SFA).
A multi-lingual and cross-domain analysis of features for text simplification
In text simplification and readability research, several features have been proposed to estimate or simplify a complex text, e. g., readability scores, sentence length, or proportion of POS tags.
A Neural Graph-based Approach to Verbal MWE Identification
We propose to tackle the problem of verbal multiword expression (VMWE) identification using a neural graph parsing-based approach.
SemEval-2019 Task 2: Unsupervised Lexical Frame Induction
This paper presents Unsupervised Lexical Frame Induction, Task 2 of the International Workshop on Semantic Evaluation in 2019.
TRAPACC and TRAPACCS at PARSEME Shared Task 2018: Neural Transition Tagging of Verbal Multiword Expressions
We describe the TRAPACC system and its variant TRAPACCS that participated in the closed track of the PARSEME Shared Task 2018 on labeling verbal multiword expressions (VMWEs).
