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08/15/2023
Informed Named Entity Recognition Decoding for Generative Language Models
Ever-larger language models with ever-increasing capabilities are by now...
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08/11/2023
Improving Zero-Shot Text Matching for Financial Auditing with Large Language Models
Auditing financial documents is a very tedious and time-consuming proces...
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07/27/2023
Improving Natural Language Inference in Arabic using Transformer Models and Linguistically Informed Pre-Training
This paper addresses the classification of Arabic text data in the field...
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07/25/2023
Word Sense Disambiguation as a Game of Neurosymbolic Darts
Word Sense Disambiguation (WSD) is one of the hardest tasks in natural l...
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05/15/2023
sustain.AI: a Recommender System to analyze Sustainability Reports
We present sustain.AI, an intelligent, context-aware recommender system ...
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12/14/2022
Towards Linguistically Informed Multi-Objective Pre-Training for Natural Language Inference
We introduce a linguistically enhanced combination of pre-training metho...
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11/11/2022
Towards automating Numerical Consistency Checks in Financial Reports
We introduce KPI-Check, a novel system that automatically identifies and...
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10/28/2022
Improving Chest X-Ray Classification by RNN-based Patient Monitoring
Chest X-Ray imaging is one of the most common radiological tools for det...
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10/19/2022
A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives
We analyze two Natural Language Inference data sets with respect to thei...
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10/17/2022
KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documents
We introduce KPI-EDGAR, a novel dataset for Joint Named Entity Recogniti...
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08/08/2022
Gradient Flows for L2 Support Vector Machine Training
We explore the merits of training of support vector machines for binary ...
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08/03/2022
KPI-BERT: A Joint Named Entity Recognition and Relation Extraction Model for Financial Reports
We present KPI-BERT, a system which employs novel methods of named entit...
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04/23/2022
Towards Bundle Adjustment for Satellite Imaging via Quantum Machine Learning
Given is a set of images, where all images show views of the same area a...
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12/20/2021
Evolutionary Hierarchical Harvest Schedule Optimization for Food Waste Prevention
In order to avoid disadvantages of monocropping for soil and environment...
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12/10/2020
Generative Deep Learning Techniques for Password Generation
Password guessing approaches via deep learning have recently been invest...
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11/16/2020
NLPGym – A toolkit for evaluating RL agents on Natural Language Processing Tasks
Reinforcement learning (RL) has recently shown impressive performance in...
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06/17/2017
Adiabatic Quantum Computing for Binary Clustering
Quantum computing for machine learning attracts increasing attention and...
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07/12/2016