A neural Entity Coreference Resolution review
نویسندگان
چکیده
منابع مشابه
Neural Coreference Resolution
Much work on coreference resolution has gone towards hand crafting complicated features that are predictive of coreference. However, systems relying on these can become unwieldy and may generalize poorly to new data. In this work, I present a new coreference system based on neural networks that automatically learns dense vector representations for mention pairs. These representations are built ...
متن کاملEntity-Centric Coreference Resolution with Model Stacking
Mention pair models that predict whether or not two mentions are coreferent have historically been very effective for coreference resolution, but do not make use of entity-level information. However, we show that the scores produced by such models can be aggregated to define powerful entity-level features between clusters of mentions. Using these features, we train an entity-centric coreference...
متن کاملShallow Methods for Named Entity Coreference Resolution
Nous nous intéressons dans cet article aux méthodes superficielles de résolution d’anaphores et de construction des chaı̂nes de référence, que nous avons développées comme modules du système d’extraction d’information ANNIE. La module ”orthomatcher” traite la coréférence orthographique des noms propres et le module de résolution d’anaphores traite les anaphores pronominales dont les antécédents ...
متن کاملUnsupervised Ranking Model for Entity Coreference Resolution
Coreference resolution is one of the first stages in deep language understanding and its importance has been well recognized in the natural language processing community. In this paper, we propose a generative, unsupervised ranking model for entity coreference resolution by introducing resolution mode variables. Our unsupervised system achieves 58.44% F1 score of the CoNLL metric on the English...
متن کاملEntity-Based Noun Phrase Coreference Resolution
In this paper we propose an NP coreference resolution system which does resolution on the entity-level. The framework of the system is presented and different resolution strategies are investigated.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2021
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2020.114466