17 citations · 71 across the 24 of their papers we have counts for
9 papers · 1 filter
NLNDE at CANTEMIST: Neural Sequence Labeling and Parsing Approaches for Clinical Concept Extraction
Lukas Lange, Xiang Dai, Heike Adel +1
The recognition and normalization of clinical information, such as tumor morphology mentions, is an important, but complex process consisting of multiple subtasks. In this paper, w…
A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel +2
Deep neural networks and huge language models are becoming omnipresent in natural language applications. As they are known for requiring large amounts of training data, there is a…
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input Representations
Lukas Lange, Heike Adel, Jannik Strötgen +1
Combining several embeddings typically improves performance in downstream tasks as different embeddings encode different information. It has been shown that even models using embed…
NLNDE: The Neither-Language-Nor-Domain-Experts' Way of Spanish Medical Document De-Identification
Lukas Lange, Heike Adel, Jannik Strötgen
Natural language processing has huge potential in the medical domain which recently led to a lot of research in this field. However, a prerequisite of secure processing of medical…
NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection
Lukas Lange, Heike Adel, Jannik Strötgen
Named entity recognition has been extensively studied on English news texts. However, the transfer to other domains and languages is still a challenging problem. In this paper, we…
The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain
Annemarie Friedrich, Heike Adel, Federico Tomazic +4
This paper presents a new challenging information extraction task in the domain of materials science. We develop an annotation scheme for marking information on experiments related…
Closing the Gap: Joint De-Identification and Concept Extraction in the Clinical Domain
Lukas Lange, Heike Adel, Jannik Strötgen
Exploiting natural language processing in the clinical domain requires de-identification, i.e., anonymization of personal information in texts. However, current research considers…
Adversarial Alignment of Multilingual Models for Extracting Temporal Expressions from Text
Lukas Lange, Anastasiia Iurshina, Heike Adel +1
Although temporal tagging is still dominated by rule-based systems, there have been recent attempts at neural temporal taggers. However, all of them focus on monolingual settings.…
On the Choice of Auxiliary Languages for Improved Sequence Tagging
Lukas Lange, Heike Adel, Jannik Strötgen
Recent work showed that embeddings from related languages can improve the performance of sequence tagging, even for monolingual models. In this analysis paper, we investigate wheth…