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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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05/22/2023
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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10/12/2022
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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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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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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11/19/2015