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N. Moosavi

49 papers hereh-index 171.4k citations75 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author8
  • middle author25
  • last author14

Across the 47 of 49 papers where every author was matched, so the position is known.

fields
  • cs.CL49

identity via Semantic Scholar / OpenAlex

activity
20172026
most citedNL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation

25 citations · 67 across the 43 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.CL2017

Using Linguistic Features to Improve the Generalization Capability of Neural Coreference Resolvers

Nafise Sadat Moosavi, Michael Strube

Coreference resolution is an intermediate step for text understanding. It is used in tasks and domains for which we do not necessarily have coreference annotated corpora. Therefore…

cs.CL2017

Revisiting Selectional Preferences for Coreference Resolution

Benjamin Heinzerling, Nafise Sadat Moosavi, Michael Strube

Selectional preferences have long been claimed to be essential for coreference resolution. However, they are mainly modeled only implicitly by current coreference resolvers. We pro…

cs.CL2017

Lexical Features in Coreference Resolution: To be Used With Caution

Nafise Sadat Moosavi, Michael Strube

Lexical features are a major source of information in state-of-the-art coreference resolvers. Lexical features implicitly model some of the linguistic phenomena at a fine granulari…

cs.CL2017

Use Generalized Representations, But Do Not Forget Surface Features

Nafise Sadat Moosavi, Michael Strube

Only a year ago, all state-of-the-art coreference resolvers were using an extensive amount of surface features. Recently, there was a paradigm shift towards using word embeddings a…

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