OntoNotes Corpus

One of the main obstacles to produc- ing high quality joint models is the lack of jointly annotated data. Joint model- ing of multiple natural language process- ing tasks outperforms …...

Many NLP tasks interact with syntax. The presence of a named entity span, for example, is often a clear indicator of a noun phrase in the parse tree, while a …...

Large-scale linguistically annotated cor- pora have played a crucial role in advanc- ing the state of the art of key natural lan- guage technologies such as syntactic, se- mantic and …...

AbstractRecent neural network methods for zero pronoun resolution explore multiple models for generating representation vectors for zero pronouns and their candidate antecedents. Typically, contextual information is utilized to encode the …...

AbstractIn this paper, we present a major update to the first Hungarian named entity dataset, the Szeged NER corpus. We used zero-shot cross-lingual transfer to initialize the enrichment of entity …...

AbstractCurrent state-of-the-art coreference systems are based on a single pairwise scoring component, which assigns to each pair of mention spans a score reflecting their tendency to corefer to each other. …...