Papers with text analytics

2 papers
Negation typology and general representation models for cross-lingual zero-shot negation scope resolution in Russian, French, and Spanish. (2021.naacl-srw)

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Challenge: Negation resolution remains an acute and continuously researched question in Natural Language Processing.
Approach: They propose to use multilingual pre-trained general representation models to detect negation scope in languages without annotated data.
Outcome: The proposed model achieves token-level F1 score between English, Spanish, French, and Russian.
Interactive Construction of User-Centric Dictionary for Text Analytics (2020.acl-main)

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Challenge: Existing methods for interactive dictionary construction are limited to a small number of terms, but we propose a method that can be used to create flexible dictionaries with precise granularity.
Approach: They propose a method to construct a term dictionary for text analytics through an interactive process between a human and a machine.
Outcome: The proposed method outperforms baseline methods and works even with a small number of interactions.

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