Papers with clustering approaches

2 papers
Changing the Mind of Transformers for Topically-Controllable Language Generation (2021.eacl-main)

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Challenge: Existing interactive writing assistants do not allow authors to guide text generation in desired topical directions.
Approach: They propose a framework that displays multiple candidate upcoming topics and generates a text generation model that adheres to the chosen topics.
Outcome: The proposed model generates fluent sentences related to the selected topics, as judged by automated metrics and crowdsourced workers.
Multilingual Clustering of Streaming News (D18-1)

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Challenge: a novel method for clustering news across languages is proposed . a key challenge in handling news streams is that they must be generated on the fly .
Approach: They propose a method for clustering news across languages into monolingual and crosslingual clusters . they use real news datasets in multiple languages to find an ever growing number of cluster labels .
Outcome: The proposed method produces state-of-the-art results on real news datasets in German, English and Spanish.

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