AgglomerativeClustering

Dialect groupings can be discovered ob- jectively and automatically by cluster analysis of phonetic transcriptions such as those found in a linguistic atlas. The first step in the analysis, the …...

We are presenting a working system for automated news analysis that ingests an average total of 7600 news articles per day in five languages. For each language, the system detects …...

We describe experiments for the cross- document coreference task in SemEval 2007. Our cross-document coreference sys- tem uses an in-house agglomerative clus- tering implementation to group documents referring to the …...

We describe clustering experiments for cross-document coreference for the first Web People Search Evaluation. In our ex- periments we apply agglomerative cluster- ing to group together documents potentially referring to …...

This paper describes a language-independent, scalable system for both challenges of cross- document co-reference: name variation and entity disambiguation. We provide system re- sults from the ACE 2008 evaluation in …...

Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extrac- tion and others. Most of the work in …...

Most previous research on verb clustering has focussed on acquiring flat classifications from corpus data, although many manually built classifications are taxonomic in nature. Also Natural Language Processing (NLP) applica- …...

AbstractWe present an approach to event coreference resolution by developing a general framework for clustering that uses supervised representation learning. We propose a neural network architecture with novel Clustering-Oriented Regularization …...

AbstractThe paper presents an evaluation of word embedding models in clustering of texts in the Polish language. Authors verified six different embedding models, starting from widely used word2vec, across fastText …...