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method ID: semanticnetworks

Related Papers

Selforganizing Classification on the Reuters News Corpus

Authors: nan

Publication: TIPSTER (2002)

DOI: nan

In this paper we propose an integration of a selforganizing map and semantic networks from WordNet for a text classification task using the new Reuters news corpus. This neural model …...

6574

Contextual Salience in Query-based Summarization

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

Discourse theories claim that text gets meaning in context. Most summarization systems do not take advantage of this. They assess the rele- vance of each passage individually rather than modeling …...

29555

Using Semantic Networks to Identify Temporal Expressions from Semantic Roles

Authors: nan

Publication: TIPSTER (2009)

DOI: nan

Nowadays, the temporal aspects of natural lan- guage are receiving a great research interest. TimeML has been adopted as a standard for tem- poral information annotation by a large number …...

29528

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training

Authors: nan

Publication: TIPSTER (2017)

DOI: nan

AbstractWord embeddings are widely used in Natural Language Processing, mainly due to their success in capturing semantic information from massive corpora. However, their creation process does not allow the different …...

42048

Representation Learning for Unseen Words by Bridging Subwords to Semantic Networks

Authors: nan

Publication: TIPSTER (2020)

DOI: nan

AbstractPre-trained word embeddings are widely used in various fields. However, the coverage of pre-trained word embeddings only includes words that appeared in corpora where pre-trained embeddings are learned. It means …...

14339

Framing Word Sense Disambiguation as a Multi-Label Problem for Model-Agnostic Knowledge Integration

Authors: nan

Publication: TIPSTER (2021)

DOI: nan

AbstractRecent studies treat Word Sense Disambiguation (WSD) as a single-label classification problem in which one is asked to choose only the best-fitting sense for a target word, given its context. …...

42533