共同参照决议的最新进展概述

IF 10.7 2区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Artificial Intelligence Review Pub Date : 2023-05-26 DOI:10.1007/s10462-023-10506-3

Ruicheng Liu, Rui Mao, Anh Tuan Luu, Erik Cambria

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引用次数: 4

摘要

自然语言中重复对象的解析被称为共指解析，是现代自然语言处理的重要组成部分。根据解析对象的不同，将其分为实体共引用解析和事件共引用解析两类。预测共指连接和识别提及/触发是共指解析的主要挑战，因为这些隐式关系在下游任务的自然语言理解中特别困难。近年来，共参分辨率技术取得了长足的进步，这促使我们从以下几个方面来回顾这一任务:当前使用的评估指标、数据集和方法。在本次调查中，我们调查了10个广泛使用的指标，18个数据集和4个主要技术趋势。我们认为，这项工作是一个全面的路线图，了解过去和未来的共同参考决议。

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A brief survey on recent advances in coreference resolution

The task of resolving repeated objects in natural languages is known as coreference resolution, and it is an important part of modern natural language processing. It is classified into two categories depending on the resolved objects, namely entity coreference resolution and event coreference resolution. Predicting coreference connections and identifying mentions/triggers are the major challenges in coreference resolution, because these implicit relationships are particularly difficult in natural language understanding in downstream tasks. Coreference resolution techniques have experienced considerable advances in recent years, encouraging us to review this task in the following aspects: current employed evaluation metrics, datasets, and methods. We investigate 10 widely used metrics, 18 datasets and 4 main technical trends in this survey. We believe that this work is a comprehensive roadmap for understanding the past and the future of coreference resolution.

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来源期刊

Artificial Intelligence Review 工程技术-计算机：人工智能

CiteScore

22.00

自引率

3.30%

发文量

194

审稿时长

5.3 months

期刊介绍： Artificial Intelligence Review, a fully open access journal, publishes cutting-edge research in artificial intelligence and cognitive science. It features critical evaluations of applications, techniques, and algorithms, providing a platform for both researchers and application developers. The journal includes refereed survey and tutorial articles, along with reviews and commentary on significant developments in the field.