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06/07/2023
Learning with Noisy Labels by Adaptive Gradient-Based Outlier Removal
An accurate and substantial dataset is necessary to train a reliable and...
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05/28/2023
MemeGraphs: Linking Memes to Knowledge Graphs
Memes are a popular form of communicating trends and ideas in social med...
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05/22/2023
Cross-functional Analysis of Generalisation in Behavioural Learning
In behavioural testing, system functionalities underrepresented in the s...
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05/10/2023
ACTC: Active Threshold Calibration for Cold-Start Knowledge Graph Completion
Self-supervised knowledge-graph completion (KGC) relies on estimating a ...
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11/19/2022
ReInform: Selecting paths with reinforcement learning for contextualized link prediction
We propose to use reinforcement learning to inform transformer-based con...
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10/25/2022
SepLL: Separating Latent Class Labels from Weak Supervision Noise
In the weakly supervised learning paradigm, labeling functions automatic...
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06/03/2022
XPASC: Measuring Generalization in Weak Supervision by Explainability and Association
Weak supervision is leveraged in a wide range of domains and tasks due t...
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05/18/2022
Topic Segmentation of Research Article Collections
Collections of research article data harvested from the web have become ...
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05/12/2022
Is the Computation of Abstract Sameness Relations Human-Like in Neural Language Models?
In recent years, deep neural language models have made strong progress i...
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04/28/2022
WeaNF: Weak Supervision with Normalizing Flows
A popular approach to decrease the need for costly manual annotation of ...
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04/14/2022
ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
A way to overcome expensive and time-consuming manual data labeling is w...
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04/08/2022
Checking HateCheck: a cross-functional analysis of behaviour-aware learning for hate speech detection
Behavioural testing – verifying system capabilities by validating human-...
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09/30/2021
Focused Contrastive Training for Test-based Constituency Analysis
We propose a scheme for self-training of grammaticality models for const...
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09/16/2021
KnowMAN: Weakly Supervised Multinomial Adversarial Networks
The absence of labeled data for training neural models is often addresse...
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07/08/2021
Proceedings of the First Workshop on Weakly Supervised Learning (WeaSuL)
Welcome to WeaSuL 2021, the First Workshop on Weakly Supervised Learning...
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07/02/2021
Data Centric Domain Adaptation for Historical Text with OCR Errors
We propose new methods for in-domain and cross-domain Named Entity Recog...
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04/23/2021
Knodle: Modular Weakly Supervised Learning with PyTorch
Methods for improving the training and prediction quality of weakly supe...
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06/22/2020
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings
Nowadays, classical count-based word embeddings using positive pointwise...
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06/26/2019
Interpretable Question Answering on Knowledge Bases and Text
Interpretability of machine learning (ML) models becomes more relevant w...
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05/21/2019
Domain adaptation for part-of-speech tagging of noisy user-generated text
The performance of a Part-of-speech (POS) tagger is highly dependent on ...
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10/31/2018
Aligning Very Small Parallel Corpora Using Cross-Lingual Word Embeddings and a Monogamy Objective
Count-based word alignment methods, such as the IBM models or fast-align...
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09/19/2018
Interpretable Textual Neuron Representations for NLP
Input optimization methods, such as Google Deep Dream, create interpreta...
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08/28/2018
Joint Aspect and Polarity Classification for Aspect-based Sentiment Analysis with End-to-End Neural Networks
In this work, we propose a new model for aspect-based sentiment analysis...
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07/09/2018
Position-aware Self-attention with Relative Positional Encodings for Slot Filling
This paper describes how to apply self-attention with relative positiona...
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05/01/2018
Joint Bootstrapping Machines for High Confidence Relation Extraction
Semi-supervised bootstrapping techniques for relationship extraction fro...
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03/05/2018
Neural Architectures for Open-Type Relation Argument Extraction
In this work, we introduce the task of Open-Type Relation Argument Extra...
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01/19/2018
Evaluating neural network explanation methods using hybrid documents and morphological prediction
We propose two novel paradigms for evaluating neural network explanation...
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03/16/2016
Comparing Convolutional Neural Networks to Traditional Models for Slot Filling
We address relation classification in the context of slot filling, the t...
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11/19/2015
Multilingual Relation Extraction using Compositional Universal Schema
Universal schema builds a knowledge base (KB) of entities and relations ...
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04/24/2015
