A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English

@article{Zhang2021ABS,
  title={A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English},
  author={Hongming Zhang and Xinran Zhao and Yangqiu Song},
  journal={ArXiv},
  year={2021},
  volume={abs/2009.12721}
}
Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to. Compared with the general coreference resolution task, the main challenge of PCR is the coreference relation prediction rather than the mention detection. As one important natural language understanding (NLU) component, pronoun resolution is crucial for many downstream tasks and still challenging for existing models, which motivates us to survey existing approaches and think about… 

Tables from this paper

PCR4ALL: A Comprehensive Evaluation Benchmark for Pronoun Coreference Resolution in English

TLDR
This work proposes PCR4ALL, a new benchmark and a toolbox that evaluates and analyzes the performance of PCR systems from different perspectives (i.e., knowledge source, domain, data size, frequency, relevance, and polarity), and hopes that PCR4all can motivate the community to pay more attention to solving the overall PCR problem and understand the performance comprehensively.

Joint Coreference Resolution and Character Linking for Multiparty Conversation

TLDR
This work proposes Cˆ2, the joint learning model of Coreference resolution and Character linking, which can significantly outperform previous works on both tasks.

Towards Natural Language Interfaces for Data Visualization: A Survey

TLDR
This article conducts a comprehensive review of the existing V-NLIs and develops categorical dimensions based on a classic information visualization pipeline with the extension of a V-NLI layer.

Divesting in Socially (Ir)responsible Internet Service Providers

TLDR
A system for automatically assessing ISPs along various dimensions of social responsibility---e.g., environmental stewardship, censorship actions, or net neutrality practices---is designed, which achieves 71% accuracy in determining an ISP's stance.

References

SHOWING 1-10 OF 57 REFERENCES

The KnowRef Coreference Corpus: Removing Gender and Number Cues for Difficult Pronominal Anaphora Resolution

TLDR
A new benchmark for coreference resolution and NLI, KnowRef, that targets common-sense understanding and world knowledge is introduced and a data-augmentation trick called antecedent switching is proposed to alleviate this tendency in models.

What You See is What You Get: Visual Pronoun Coreference Resolution in Dialogues

TLDR
This paper formally defines the task of visual-aware pronoun coreference resolution (PCR) and introduces VisPro, a large-scale dialogue PCR dataset, and proposes a novel visual- aware PCR model, VisCoref, for this task and conducts comprehensive experiments and case studies on the dataset.

Resolving Complex Cases of Definite Pronouns: The Winograd Schema Challenge

TLDR
A knowledge-rich approach to the task of resolving complex cases of definite pronouns is employed, which yields a pronoun resolver that outperforms state-of-the-art resolvers by nearly 18 points in accuracy on the authors' dataset.

CoNLL-2012 Shared Task: Modeling Multilingual Unrestricted Coreference in OntoNotes

TLDR
The OntoNotes annotation (coreference and other layers) is described and the parameters of the shared task including the format, pre-processing information, evaluation criteria, and presents and discusses the results achieved by the participating systems.

Commonsense Knowledge Enhanced Embeddings for Solving Pronoun Disambiguation Problems in Winograd Schema Challenge

TLDR
This paper proposes commonsense knowledge enhanced embeddings (KEE) for solving the Pronoun Disambiguation Problems (PDP) and indicates that, the proposed KEE models could solve the PDP problems by achieving 66.7% accuracy, which is a new state-of-the-art performance.

CoNLL-2011 Shared Task: Modeling Unrestricted Coreference in OntoNotes

TLDR
The CoNLL-2011 shared task involved predicting coreference using OntoNotes data, a new resource that provides multiple integrated annotation layers (parses, semantic roles, word senses, named entities and coreference) that could support joint models.

Understanding the Value of Features for Coreference Resolution

TLDR
This paper describes a rather simple pairwise classification model for coreference resolution, developed with a well-designed set of features and shows that this produces a state-of-the-art system that outperforms systems built with complex models.

Supervised Ranking for Pronoun Resolution: Some Recent Improvements

TLDR
A pronoun interpretation system that extends the twin-candidate framework by equipping it with the ability to identify non-referential pronouns and incorporating linguistic knowledge sources that are generally not employed in traditional pronoun resolvers.

ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT

TLDR
The corpus is intended to be used both as a resource from which to learn systematic differences in pronoun use between languages and ultimately for developing and testing informed Statistical Machine Translation systems aimed at addressing the problem of pronoun coreference in translation.

A Multi-Pass Sieve for Coreference Resolution

TLDR
This work proposes a simple coreference architecture based on a sieve that applies tiers of deterministic coreference models one at a time from highest to lowest precision, and outperforms many state-of-the-art supervised and unsupervised models on several standard corpora.
...