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06/20/2023
The Ecological Fallacy in Annotation: Modelling Human Label Variation goes beyond Sociodemographics
Many NLP tasks exhibit human label variation, where different annotators...
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05/15/2023
Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks
Arguments often do not make explicit how a conclusion follows from its p...
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09/30/2021
Key Point Analysis via Contrastive Learning and Extractive Argument Summarization
Key point analysis is the task of extracting a set of concise and high-l...
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04/19/2019
Zero-Shot Cross-Lingual Opinion Target Extraction
Aspect-based sentiment analysis involves the recognition of so called op...
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12/06/2018
Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases
The task of answering natural language questions over knowledge bases ha...
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12/06/2018
Deep Learning Approaches for Question Answering on Knowledge Bases: an evaluation of architectural design choices
The task of answering natural language questions over knowledge bases ha...
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02/26/2018
AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data
The task of answering natural language questions over RDF data has recei...
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09/26/2017
Predicting Disease-Gene Associations using Cross-Document Graph-based Features
In the context of personalized medicine, text mining methods pose an int...
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09/19/2017
Improving Opinion-Target Extraction with Character-Level Word Embeddings
Fine-grained sentiment analysis is receiving increasing attention in rec...
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09/19/2017
Aspect-Based Sentiment Analysis Using a Two-Step Neural Network Architecture
The World Wide Web holds a wealth of information in the form of unstruct...
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09/19/2017
Aspect-Based Relational Sentiment Analysis Using a Stacked Neural Network Architecture
Sentiment analysis can be regarded as a relation extraction problem in w...
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07/21/2016