We build a coreference resolution system based on the proposed method and evaluate its performance from three aspects: the contributions of active learning; the ...

We build a coreference resolution system based on the proposed method and evaluate its performance from three aspects: the contributions of active learning; the ...

An Effective Hybrid Machine Learning Approach for Coreference Resolution. In Proceedings of the Sixth SIGHAN Workshop on Chinese Language Processing. Cite ( ...

We describe an approach to coreference resolution that relies on the intuition that easy decisions should be made early, while harder decisions should be ...

In this paper, we present a learning approach to coreference resolution of noun phrases in unre- stricted text. The approach learns from a small, ...

An alternative approach is to use agglomera- tive clustering, treating each mention as a single- ton cluster at the outset and then repeatedly merg- ing ...

Abstract: We describe an approach for performing entity type recognition in heterogeneous semantic graphs in order to reduce the computational cost of ...

Nov 16, 2021 · Our experiments on the English OntoNotes corpus demonstrate that our approach effectively benefits from the noisy coreference supervision, ...

Coreference resolution is a critical aspect of natural language processing (NLP), a subfield of artificial intelligence (AI).

First, we propose and evaluate three extra-linguistic modifications to the machine learning framework, which together pro- vide substantial and statistically ...