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05/04/2023
Neighboring Words Affect Human Interpretation of Saliency Explanations
Word-level saliency explanations ("heat maps over words") are often used...
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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 "...
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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 ...
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10/13/2022
How (Not) To Evaluate Explanation Quality
The importance of explainability is increasingly acknowledged in natural...
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05/20/2022
Multilingual Normalization of Temporal Expressions with Masked Language Models
The detection and normalization of temporal expressions is an important ...
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01/27/2022
Human Interpretation of Saliency-based Explanation Over Text
While a lot of research in explainable AI focuses on producing effective...
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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...
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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...
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09/16/2021
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Natural language inference (NLI) requires models to learn and apply comm...
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07/26/2021
Thought Flow Nets: From Single Predictions to Trains of Model Thought
When humans solve complex problems, they rarely come up with a decision ...
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04/22/2021
Enriched Attention for Robust Relation Extraction
The performance of relation extraction models has increased considerably...
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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 ...
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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...
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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...
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10/23/2020
Adversarial Learning of Feature-based Meta-Embeddings
Certain embedding types outperform others in different scenarios, e.g., ...
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10/22/2020
An Analysis of Simple Data Augmentation for Named Entity Recognition
Simple yet effective data augmentation techniques have been proposed for...
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10/13/2020
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
Explainable question answering systems predict an answer together with a...
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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...
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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...
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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...
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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...
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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...
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05/19/2020
On the Choice of Auxiliary Languages for Improved Sequence Tagging
Recent work showed that embeddings from related languages can improve th...
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10/01/2019
Type-aware Convolutional Neural Networks for Slot Filling
The slot filling task aims at extracting answers for queries about entit...
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02/28/2019
Adversarial Training for Satire Detection: Controlling for Confounding Variables
The automatic detection of satire vs. regular news is relevant for downs...
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11/06/2018
CIS at TAC Cold Start 2015: Neural Networks and Coreference Resolution for Slot Filling
This paper describes the CIS slot filling system for the TAC Cold Start ...
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08/14/2018
Adversarial Neural Networks for Cross-lingual Sequence Tagging
We study cross-lingual sequence tagging with little or no labeled data i...
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08/13/2018
Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging
Character-level models of tokens have been shown to be effective at deal...
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10/26/2017
Impact of Coreference Resolution on Slot Filling
In this paper, we demonstrate the importance of coreference resolution f...
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10/04/2017
Syntactic and Semantic Features For Code-Switching Factored Language Models
This paper presents our latest investigations on different features for ...
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08/07/2017
Corpus-level Fine-grained Entity Typing
This paper addresses the problem of corpus-level entity typing, i.e., in...
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07/24/2017
Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification
We introduce globally normalized convolutional neural networks for joint...
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12/22/2016
Noise Mitigation for Neural Entity Typing and Relation Extraction
In this paper, we address two different types of noise in information ex...
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12/20/2016
Exploring Different Dimensions of Attention for Uncertainty Detection
Neural networks with attention have proven effective for many natural la...
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10/03/2016
Nonsymbolic Text Representation
We introduce the first generic text representation model that is complet...
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05/24/2016
Combining Recurrent and Convolutional Neural Networks for Relation Classification
This paper investigates two different neural architectures for the task ...
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03/16/2016