research
∙
09/04/2023
Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?
Instruction-tuning has become an integral part of training pipelines for...
share
research
∙
07/28/2023
Uncertainty in Natural Language Generation: From Theory to Applications
Recent advances of powerful Language Models have allowed Natural Languag...
research
∙
05/31/2023
Findings of the VarDial Evaluation Campaign 2023
This report presents the results of the shared tasks organized as part o...
research
∙
05/31/2023
ActiveAED: A Human in the Loop Improves Annotation Error Detection
Manually annotated datasets are crucial for training and evaluating Natu...
research
∙
05/24/2023
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives
Recently, various intermediate layer distillation (ILD) objectives have ...
research
∙
05/20/2023
ESCOXLM-R: Multilingual Taxonomy-driven Pre-training for the Job Market Domain
The increasing number of benchmarks for Natural Language Processing (NLP...
research
∙
05/19/2023
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability
In Natural Language Generation (NLG) tasks, for any input, multiple comm...
research
∙
05/18/2023
Silver Syntax Pre-training for Cross-Domain Relation Extraction
Relation Extraction (RE) remains a challenging task, especially when con...
research
∙
05/18/2023
Multi-CrossRE A Multi-Lingual Multi-Domain Dataset for Relation Extraction
Most research in Relation Extraction (RE) involves the English language,...
research
∙
05/09/2023
Boosting Zero-shot Cross-lingual Retrieval by Training on Artificially Code-Switched Data
Transferring information retrieval (IR) models from a high-resource lang...
research
∙
04/28/2023
SemEval-2023 Task 11: Learning With Disagreements (LeWiDi)
NLP datasets annotated with human judgments are rife with disagreements ...
research
∙
04/20/2023
Does Manipulating Tokenization Aid Cross-Lingual Transfer? A Study on POS Tagging for Non-Standardized Languages
One of the challenges with finetuning pretrained language models (PLMs) ...
research
∙
04/19/2023
Low-resource Bilingual Dialect Lexicon Induction with Large Language Models
Bilingual word lexicons are crucial tools for multilingual natural langu...
research
∙
04/19/2023
A Survey of Corpora for Germanic Low-Resource Languages and Dialects
Despite much progress in recent years, the vast majority of work in natu...
research
∙
11/04/2022
The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation
Human variation in labeling is often considered noise. Annotation projec...
research
∙
10/28/2022
Stop Measuring Calibration When Humans Disagree
Calibration is a popular framework to evaluate whether a classifier know...
research
∙
10/21/2022
Spectral Probing
Linguistic information is encoded at varying timescales (subwords, phras...
research
∙
10/20/2022
Evidence > Intuition: Transferability Estimation for Encoder Selection
With the increase in availability of large pre-trained language models (...
research
∙
10/17/2022
CrossRE: A Cross-Domain Dataset for Relation Extraction
Relation Extraction (RE) has attracted increasing attention, but current...
research
∙
09/23/2022
An Interdisciplinary Perspective on Evaluation and Experimental Design for Visual Text Analytics: Position Paper
Appropriate evaluation and experimental design are fundamental for empir...
research
∙
09/16/2022
Skill Extraction from Job Postings using Weak Supervision
Aggregated data obtained from job postings provide powerful insights int...
research
∙
06/10/2022
Sort by Structure: Language Model Ranking as Dependency Probing
Making an informed choice of pre-trained language model (LM) is critical...
research
∙
05/03/2022
Kompetencer: Fine-grained Skill Classification in Danish Job Postings via Distant Supervision and Transfer Learning
Skill Classification (SC) is the task of classifying job competences fro...
research
∙
04/28/2022
What do You Mean by Relation Extraction? A Survey on Datasets and Study on Scientific Relation Classification
Over the last five years, research on Relation Extraction (RE) witnessed...
research
∙
04/27/2022
SkillSpan: Hard and Soft Skill Extraction from English Job Postings
Skill Extraction (SE) is an important and widely-studied task useful to ...
research
∙
04/13/2022
Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective
The field of Deep Learning (DL) has undergone explosive growth during th...
research
∙
03/24/2022
Probing for Labeled Dependency Trees
Probing has become an important tool for analyzing representations in Na...
research
∙
12/09/2021
How Universal is Genre in Universal Dependencies?
This work provides the first in-depth analysis of genre in Universal Dep...
research
∙
09/10/2021
Genre as Weak Supervision for Cross-lingual Dependency Parsing
Recent work has shown that monolingual masked language models learn to r...
research
∙
09/09/2021
Cartography Active Learning
We propose Cartography Active Learning (CAL), a novel Active Learning (A...
research
∙
07/08/2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning...
research
∙
05/24/2021
DaN+: Danish Nested Named Entities and Lexical Normalization
This paper introduces DaN+, a new multi-domain corpus and annotation gui...
research
∙
05/24/2021
De-identification of Privacy-related Entities in Job Postings
De-identification is the task of detecting privacy-related entities in t...
research
∙
05/15/2021
From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding
The lack of publicly available evaluation data for low-resource language...
research
∙
03/01/2021
On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions
Recent complementary strands of research have shown that leveraging info...
research
∙
12/10/2020
Longitudinal Citation Prediction using Temporal Graph Neural Networks
Citation count prediction is the task of predicting the number of citati...
research
∙
05/31/2020
Neural Unsupervised Domain Adaptation in NLP—A Survey
Deep neural networks excel at learning from labeled data and achieve sta...
research
∙
05/29/2020
Massive Choice, Ample Tasks (MaChAmp):A Toolkit for Multi-task Learning in NLP
Transfer learning, particularly approaches that combine multi-task learn...
research
∙
05/25/2020
FT Speech: Danish Parliament Speech Corpus
This paper introduces FT Speech, a new speech corpus created from the re...
research
∙
03/05/2020
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in Danish
Named Entity Recognition (NER) has greatly advanced by the introduction ...
research
∙
06/10/2019
Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering
We study the issue of catastrophic forgetting in the context of neural m...
research
∙
11/21/2018
The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging
In natural language processing, the deep learning revolution has shifted...
research
∙
08/29/2018
Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging
We introduce DsDs: a cross-lingual neural part-of-speech tagger that lea...
research
∙
05/08/2018
Bleaching Text: Abstract Features for Cross-lingual Gender Prediction
Gender prediction has typically focused on lexical and social network fe...
research
∙
04/25/2018
Strong Baselines for Neural Semi-supervised Learning under Domain Shift
Novel neural models have been proposed in recent years for learning unde...
research
∙
10/26/2017
ALL-IN-1: Short Text Classification with One Model for All Languages
We present ALL-IN-1, a simple model for multilingual text classification...
research
∙
07/17/2017
Learning to select data for transfer learning with Bayesian Optimization
Domain similarity measures can be used to gauge adaptability and select ...
research
∙
07/17/2017
To Normalize, or Not to Normalize: The Impact of Normalization on Part-of-Speech Tagging
Does normalization help Part-of-Speech (POS) tagging accuracy on noisy, ...
research
∙
01/11/2017
Parsing Universal Dependencies without training
We propose UDP, the first training-free parser for Universal Dependencie...
research
∙
12/07/2016
