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07/30/2023
Distractor generation for multiple-choice questions with predictive prompting and large language models
Large Language Models (LLMs) such as ChatGPT have demonstrated remarkabl...
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07/20/2023
Extreme Multi-Label Skill Extraction Training using Large Language Models
Online job ads serve as a valuable source of information for skill requi...
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06/02/2023
Learning from Partially Annotated Data: Example-aware Creation of Gap-filling Exercises for Language Learning
Since performing exercises (including, e.g., practice tests) forms a cru...
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05/31/2023
IDAS: Intent Discovery with Abstractive Summarization
Intent discovery is the task of inferring latent intents from a set of u...
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05/22/2023
BioDEX: Large-Scale Biomedical Adverse Drug Event Extraction for Real-World Pharmacovigilance
Timely and accurate extraction of Adverse Drug Events (ADE) from biomedi...
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02/05/2023
TempEL: Linking Dynamically Evolving and Newly Emerging Entities
In our continuously evolving world, entities change over time and new, p...
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10/25/2022
Learning to Reuse Distractors to support Multiple Choice Question Generation in Education
Multiple choice questions (MCQs) are widely used in digital learning sys...
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10/21/2022
Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals
For text classification tasks, finetuned language models perform remarka...
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10/12/2022
EduQG: A Multi-format Multiple Choice Dataset for the Educational Domain
We introduce a high-quality dataset that contains 3,397 samples comprisi...
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09/13/2022
Design of Negative Sampling Strategies for Distantly Supervised Skill Extraction
Skills play a central role in the job market and many human resources (H...
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06/17/2022
CookDial: A dataset for task-oriented dialogs grounded in procedural documents
This work presents a new dialog dataset, CookDial, that facilitates rese...
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03/26/2022
Computationally efficient joint coordination of multiple electric vehicle charging points using reinforcement learning
A major challenge in todays power grid is to manage the increasing load ...
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03/03/2022
Optimized cost function for demand response coordination of multiple EV charging stations using reinforcement learning
Electric vehicle (EV) charging stations represent a substantial load wit...
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02/28/2022
Defining a synthetic data generator for realistic electric vehicle charging sessions
Electric vehicle (EV) charging stations have become prominent in electri...
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02/25/2022
Learning physics-informed simulation models for soft robotic manipulation: A case study with dielectric elastomer actuators
Soft actuators offer a safe and adaptable approach to robotic tasks like...
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11/23/2021
Physics Informed Neural Networks for Control Oriented Thermal Modeling of Buildings
This paper presents a data-driven modeling approach for developing contr...
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09/20/2021
JobBERT: Understanding Job Titles through Skills
Job titles form a cornerstone of today's human resources (HR) processes....
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08/30/2021
Towards Consistent Document-level Entity Linking: Joint Models for Entity Linking and Coreference Resolution
We consider the task of document-level entity linking (EL), where it is ...
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07/05/2021
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
We consider a joint information extraction (IE) model, solving named ent...
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04/16/2021
A Million Tweets Are Worth a Few Points: Tuning Transformers for Customer Service Tasks
In online domain-specific customer service applications, many companies ...
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04/08/2021
A Simple Geometric Method for Cross-Lingual Linguistic Transformations with Pre-trained Autoencoders
Powerful sentence encoders trained for multiple languages are on the ris...
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09/26/2020
DWIE: an entity-centric dataset for multi-task document-level information extraction
This paper presents DWIE, the 'Deutsche Welle corpus for Information Ext...
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09/11/2020
Solving Math Word Problems by Scoring Equations with Recursive Neural Networks
Solving math word problems is a cornerstone task in assessing language u...
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01/14/2020
Block-wise Dynamic Sparseness
Neural networks have achieved state of the art performance across a wide...
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03/13/2019
Sub-event detection from Twitter streams as a sequence labeling problem
This paper introduces improved methods for sub-event detection in social...
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09/27/2018
Definition and evaluation of model-free coordination of electrical vehicle charging with reinforcement learning
Initial DR studies mainly adopt model predictive control and thus requir...
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08/27/2018
Predefined Sparseness in Recurrent Sequence Models
Inducing sparseness while training neural networks has been shown to yie...
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08/21/2018
Adversarial training for multi-context joint entity and relation extraction
Adversarial training (AT) is a regularization method that can be used to...
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06/25/2018
Prior Attention for Style-aware Sequence-to-Sequence Models
We extend sequence-to-sequence models with the possibility to control th...
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04/20/2018
Joint entity recognition and relation extraction as a multi-head selection problem
State-of-the-art models for joint entity recognition and relation extrac...
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09/27/2017
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
In this paper we develop a relatively simple and effective neural joint ...
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08/11/2017
Break it Down for Me: A Study in Automated Lyric Annotation
Comprehending lyrics, as found in songs and poems, can pose a challenge ...
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11/19/2015