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Found 16 papers, 3 papers with code
How to Parse a Creole: When Martinican Creole Meets French
We investigate methods to develop a parser for Martinican Creole, a highly under-resourced language, using a French treebank.
Investigating Sampling Bias in Abusive Language Detection
Abusive language detection is becoming increasingly important, but we still understand little about the biases in our datasets for abusive language detection, and how these biases affect the quality of abusive language detection.
Delexicalized Cross-lingual Dependency Parsing for Xibe
We assume that choosing a closely related language as the source language will provide better results than more distant relatives.
How “Loco” Is the LOCO Corpus? Annotating the Language of Conspiracy Theories
Conspiracy theories have found a new channel on the internet and spread by bringing together like-minded people, thus functioning as an echo chamber.
Bidirectional Domain Adaptation Using Weighted Multi-Task Learning
In order to determine towhat degree the data imbalance between two domains and the domain differences affect results, we also carry out an experiment with two imbalanced in-domain treebanks and show that loss weighting also improves performance in an in-domain setting.
On the Interaction between Annotation Quality and Classifier Performance in Abusive Language Detection
Abusive language detection has become an important tool for the cultivation of safe online platforms.
Universal Dependency Treebank for Xibe
We present our work of constructing the first treebank for the Xibe language following the Universal Dependencies (UD) annotation scheme.
Period Classification in Chinese Historical Texts
In this study, we study language change in Chinese Biji by using a classification task: classifying Ancient Chinese texts by time periods.
IUCL at WASSA 2022 Shared Task: A Text-only Approach to Empathy and Emotion Detection
Our system, IUCL, participated in the WASSA 2022 Shared Task on Empathy Detection and Emotion Classification.
UM-IU@LING at SemEval-2019 Task 6: Identifying Offensive Tweets Using BERT and SVMs
This paper describes the UM-IU@LING's system for the SemEval 2019 Task 6: OffensEval.
UniMorph 2.0: Universal Morphology
The Universal Morphology UniMorph project is a collaborative effort to improve how NLP handles complex morphology across the world's languages.
Detecting Syntactic Features of Translated Chinese
We present a machine learning approach to distinguish texts translated to Chinese (by humans) from texts originally written in Chinese, with a focus on a wide range of syntactic features.
CoNLL-SIGMORPHON 2017 Shared Task: Universal Morphological Reinflection in 52 Languages
In sub-task 2, systems were given a lemma and some of its specific inflected forms, and asked to complete the inflectional paradigm by predicting all of the remaining inflected forms.
Performing Stance Detection on Twitter Data using Computational Linguistics Techniques
As humans, we can often detect from a persons utterances if he or she is in favor of or against a given target entity (topic, product, another person, etc).
