Named entity linking (NEL) or mapping ``strings" to ``things" in a knowledge base is a fundamental preprocessing step in systems that require knowledge of entities such as information extraction and question answering. In this work, we lay out and investigate two challenges faced by individuals or organizations building NEL systems. Can they directly use an off-the-shelf system? If not, how easily can such a system be repurposed for their use case? First, we conduct a study of off-the-shelf commercial and academic NEL systems. We find that most systems struggle to link rare entities, with commercial solutions lagging their academic counterparts by 10%+. Second, for a use case where the NEL model is used in a sports question-answering (QA) system, we investigate how to close the loop in our analysis by repurposing the best off-the-shelf model (Bootleg) to correct sport-related errors. We show how tailoring a simple technique for patching models using weak labeling can provide a 25% absolute improvement in accuracy of sport-related errors.


Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems

Despite impressive performance on standard benchmarks, natural language processing (NLP) models are often brittle when deployed in real-world systems. In this work, we identify challenges with evaluating NLP systems and propose a solution in the form of Robustness Gym (RG), a simple and extensible evaluation toolkit that unifies 4 standard evaluation paradigms: subpopulations, transformations, evaluation sets, and adversarial attacks. By providing a common platform for evaluation, RG enables practitioners to compare results from disparate evaluation paradigms with a single click, and to easily develop and share novel evaluation methods using a built-in set of abstractions. RG is under active development and we welcome feedback & contributions from the community.


Robustness Gym: Unifying the NLP Evaluation Landscape

 

<i>**Session Chair: ** Laura Chiticariu </i><br><br>

IND5-Oral: Semantics (Industry Track)

technical paper

2021 Annual Conference of the North American Chapter of the Association for Computational Linguistics.

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Karan Goel

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Goodwill Hunting: Analyzing and Repurposing Off-the-Shelf Named Entity Linking Systems

Robustness Gym: Unifying the NLP Evaluation Landscape

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