Search Results for author:
Found 14 papers, 7 papers with code
Semantic Word Clouds with Background Corpus Normalization and t-distributed Stochastic Neighbor Embedding
We then select keywords based on their significance and construct the word cloud based on the derived affinity.
Word Embeddings for Entity-annotated Texts
We discuss two distinct approaches to the generation of such embeddings, namely the training of state-of-the-art embeddings on raw-text and annotated versions of the corpus, as well as node embeddings of a co-occurrence graph representation of the annotated corpus.
Collaborative and AI-aided Exam Question Generation using Wikidata in Education
To address this need, we propose a multilingual Wikimedia framework that allows for collaborative worldwide teacher knowledge engineering and subsequent AI-aided question generation, test, and correction.
DeepNC: Deep Generative Network Completion
In this paper, we present DeepNC, a novel method for inferring the missing parts of a network based on a deep generative model of graphs.
Mind Your Bias: A Critical Review of Bias Detection Methods for Contextual Language Models
The awareness and mitigation of biases are of fundamental importance for the fair and transparent use of contextual language models, yet they crucially depend on the accurate detection of biases as a precursor.
United States Politicians' Tone Became More Negative with 2016 Primary Campaigns
There is a widespread belief that the tone of US political language has become more negative recently, in particular when Donald Trump entered politics.
Strong Heuristics for Named Entity Linking
Named entity linking (NEL) in news is a challenging endeavour due to the frequency of unseen and emerging entities, which necessitates the use of unsupervised or zero-shot methods.
Community Detection in Partially Observable Social Networks
The discovery of community structures in social networks has gained significant attention since it is a fundamental problem in understanding the networks' topology and functions.
HeidelPlace: An Extensible Framework for Geoparsing
Geographic information extraction from textual data sources, called geoparsing, is a key task in text processing and central to subsequent spatial analysis approaches.
Retrieving Multi-Entity Associations: An Evaluation of Combination Modes for Word Embeddings
Word embeddings have gained significant attention as learnable representations of semantic relations between words, and have been shown to improve upon the results of traditional word representations.
TopExNet: Entity-Centric Network Topic Exploration in News Streams
The recent introduction of entity-centric implicit network representations of unstructured text offers novel ways for exploring entity relations in document collections and streams efficiently and interactively.
IM-META: Influence Maximization Using Node Metadata in Networks With Unknown Topology
Since the structure of complex networks is often unknown, we may identify the most influential seed nodes by exploring only a part of the underlying network, given a small budget for node queries.
Quote Erat Demonstrandum: A Web Interface for Exploring the Quotebank Corpus
The use of attributed quotes is the most direct and least filtered pathway of information propagation in news.
Revealing the Unwritten: Visual Investigation of Beam Search Trees to Address Language Model Prompting Challenges
We quantitatively show the value of exposing the beam search tree and present five detailed analysis scenarios addressing the identified challenges.
