research
∙
05/22/2023
TADA: Efficient Task-Agnostic Domain Adaptation for Transformers
Intermediate training of pre-trained transformer-based language models o...
share
research
∙
04/28/2023
NLNDE at SemEval-2023 Task 12: Adaptive Pretraining and Source Language Selection for Low-Resource Multilingual Sentiment Analysis
This paper describes our system developed for the SemEval-2023 Task 12 "...
research
∙
02/14/2023
SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains
Prompting pre-trained language models leads to promising results across ...
research
∙
05/20/2022
Multilingual Normalization of Temporal Expressions with Masked Language Models
The detection and normalization of temporal expressions is an important ...
research
∙
12/16/2021
CLIN-X: pre-trained language models and a study on cross-task transfer for concept extraction in the clinical domain
The field of natural language processing (NLP) has recently seen a large...
research
∙
09/17/2021
Boosting Transformers for Job Expression Extraction and Classification in a Low-Resource Setting
In this paper, we explore possible improvements of transformer models in...
research
∙
04/16/2021
To Share or not to Share: Predicting Sets of Sources for Model Transfer Learning
In low-resource settings, model transfer can help to overcome a lack of ...
research
∙
02/25/2021
ANEA: Distant Supervision for Low-Resource Named Entity Recognition
Distant supervision allows obtaining labeled training corpora for low-re...
research
∙
10/23/2020
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction
The recognition and normalization of clinical information, such as tumor...
research
∙
10/23/2020
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Current developments in natural language processing offer challenges and...
research
∙
10/23/2020
Adversarial Learning of Feature-based Meta-Embeddings
Certain embedding types outperform others in different scenarios, e.g., ...
research
∙
07/02/2020
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification
Natural language processing has huge potential in the medical domain whi...
research
∙
07/02/2020
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
Named entity recognition has been extensively studied on English news te...
research
∙
06/04/2020
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
This paper presents a new challenging information extraction task in the...
research
∙
05/19/2020
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
Exploiting natural language processing in the clinical domain requires d...
research
∙
05/19/2020
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Although temporal tagging is still dominated by rule-based systems, ther...
research
∙
05/19/2020
On the Choice of Auxiliary Languages for Improved Sequence Tagging
Recent work showed that embeddings from related languages can improve th...
research
∙
10/14/2019