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        <title>Cluster Labeling by Word Embeddings and WordNet’s Hypernymy</title>
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            <title>Proceedings of the Australasian Language Technology Association Workshop 2018</title>
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            <namePart type="given">Sunghwan</namePart>
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    <abstract>Cluster labeling is the assignment of representative labels to clusters obtained from the organization of a document collection. Once assigned, the labels can play an important role in applications such as navigation, search and document classification. However, finding appropriately descriptive labels is still a challenging task. In this paper, we propose various approaches for assigning labels to word clusters by leveraging word embeddings and the synonymity and hypernymy relations in the WordNet lexical ontology. Experiments carried out using the WebAP document dataset have shown that one of the approaches stand out in the comparison and is capable of selecting labels that are reasonably aligned with those chosen by a pool of four human annotators.</abstract>
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%0 Conference Proceedings
%T Cluster Labeling by Word Embeddings and WordNet’s Hypernymy
%A Poostchi, Hanieh
%A Piccardi, Massimo
%Y Kim, Sunghwan Mac
%Y Zhang, Xiuzhen (Jenny)
%S Proceedings of the Australasian Language Technology Association Workshop 2018
%D 2018
%8 December
%C Dunedin, New Zealand
%F poostchi-piccardi-2018-cluster
%X Cluster labeling is the assignment of representative labels to clusters obtained from the organization of a document collection. Once assigned, the labels can play an important role in applications such as navigation, search and document classification. However, finding appropriately descriptive labels is still a challenging task. In this paper, we propose various approaches for assigning labels to word clusters by leveraging word embeddings and the synonymity and hypernymy relations in the WordNet lexical ontology. Experiments carried out using the WebAP document dataset have shown that one of the approaches stand out in the comparison and is capable of selecting labels that are reasonably aligned with those chosen by a pool of four human annotators.
%U https://aclanthology.org/U18-1008
%P 66-70

Markdown (Informal)

[Cluster Labeling by Word Embeddings and WordNet's Hypernymy](https://aclanthology.org/U18-1008) (Poostchi & Piccardi, ALTA 2018)

• Cluster Labeling by Word Embeddings and WordNet’s Hypernymy (Poostchi & Piccardi, ALTA 2018)

ACL

• Hanieh Poostchi and Massimo Piccardi. 2018. Cluster Labeling by Word Embeddings and WordNet's Hypernymy. In Proceedings of the Australasian Language Technology Association Workshop 2018, pages 66–70, Dunedin, New Zealand.