我们能修正共同引用的范围吗?OntoNotes以外基准测试的问题和解决方案

Q1 Arts and Humanities
Amir Zeldes
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引用次数: 5

摘要

由于OntoNotes基准数据集的大小和一致性,目前关于自动共参考分辨率的工作主要集中在OntoNotes基准数据集上。然而,NLP从业者对OntoNotes标注方案的许多方面还不是很了解,包括对一般np的处理、名词修饰语、不定回指、谓语等。这些通常会导致违反直觉的主张、结果和系统行为。这篇观点文章旨在强调OntoNotes共同引用的一些问题,并根据三个原则提出一个前进的方向:1。关注语义,而不是形态语法;2. 跨语言的普遍性;和3。身份和范围的分离,可以解决涉及时间和模态域一致性的老问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes
Current work on automatic coreference resolution has focused on the OntoNotes benchmark dataset, due to both its size and consistency. However many aspects of the OntoNotes annotation scheme are not well understood by NLP practitioners, including the treatment of generic NPs, noun modifiers, indefinite anaphora, predication and more. These often lead to counterintuitive claims, results and system behaviors. This opinion piece aims to highlight some of the problems with the OntoNotes rendition of coreference, and to propose a way forward relying on three principles: 1. a focus on semantics, not morphosyntax; 2. cross-linguistic generalizability; and 3. a separation of identity and scope, which can resolve old problems involving temporal and modal domain consistency.
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来源期刊
Dialogue and Discourse
Dialogue and Discourse Arts and Humanities-Language and Linguistics
CiteScore
1.90
自引率
0.00%
发文量
7
审稿时长
12 weeks
期刊介绍: D&D seeks previously unpublished, high quality articles on the analysis of discourse and dialogue that contain -experimental and/or theoretical studies related to the construction, representation, and maintenance of (linguistic) context -linguistic analysis of phenomena characteristic of discourse and/or dialogue (including, but not limited to: reference and anaphora, presupposition and accommodation, topicality and salience, implicature, ---discourse structure and rhetorical relations, discourse markers and particles, the semantics and -pragmatics of dialogue acts, questions, imperatives, non-sentential utterances, intonation, and meta--communicative phenomena such as repair and grounding) -experimental and/or theoretical studies of agents'' information states and their dynamics in conversational interaction -new analytical frameworks that advance theoretical studies of discourse and dialogue -research on systems performing coreference resolution, discourse structure parsing, event and temporal -structure, and reference resolution in multimodal communication -experimental and/or theoretical results yielding new insight into non-linguistic interaction in -communication -work on natural language understanding (including spoken language understanding), dialogue management, -reasoning, and natural language generation (including text-to-speech) in dialogue systems -work related to the design and engineering of dialogue systems (including, but not limited to: -evaluation, usability design and testing, rapid application deployment, embodied agents, affect detection, -mixed-initiative, adaptation, and user modeling). -extremely well-written surveys of existing work. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers on discourse and dialogue and its associated fields, including computer scientists, linguists, psychologists, philosophers, roboticists, sociologists.
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