Work

Are rule-based approaches a thing of the past? : The case of anaphora resolution

Year: 2024

Type: article

Abstract: In this paper, we evaluate and compare new variants of a popular rulebased anaphora resolution algorithm with the original version. We seek to establish whether configurations that benefit from Deep Learning, LLMs and eye-tracking data (always) outperform the original rule-based algorithm. The results of this study suggest that while algorithms based in Deep Learning and LLMs usually perform better than rule-based ones, this is not always the case, and we argue that rule-based approaches still have a place in today’s research.

Source: Lancaster EPrints (Lancaster University)

Authors: Mitkov, Ruslan, Ha, Le An

Institutions: Lancaster University, Ho Chi Minh City University of Foreign Languages - Information Technology

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6989365173

FWCI:

Cites:

Cited by:

Related to: