ClusteringAlgorithms
Related Papers
Combining Distributional and Morphological Information for Part of Speech Induction
In this paper we discuss algorithms for clustering words into classes from un- labelled text using unsupervised algo- rithms, based on distributional and mor- phological information. We show how the …...
AUG: A combined classification and clustering approach for web people disambiguation
This paper presents a combined super- vised and unsupervised approach for multi- document person name disambiguation. Based on feature vectors reflecting pairwise comparisons between web pages, a classifi- cation algorithm …...
Effects of Creativity and Cluster Tightness on Short Text Clustering Performance
Properties of corpora, such as the diver- sity of vocabulary and how tightly related texts cluster together, impact the best way to cluster short texts. We examine several such properties …...
Combining Information-Weighted Sequence Alignment and Sound Correspondence Models for Improved Cognate Detection
AbstractMethods for automated cognate detection in historical linguistics invariably build on some measure of form similarity which is designed to capture the remaining systematic similarities between cognate word forms after …...
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
AbstractTopic models are a useful analysis tool to uncover the underlying themes within document collections. The dominant approach is to use probabilistic topic models that posit a generative story, but …...
Discovering Dialogue Slots with Weak Supervision
AbstractTask-oriented dialogue systems typically require manual annotation of dialogue slots in training data, which is costly to obtain. We propose a method that eliminates this requirement: We use weak supervision …...