What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation

by   Amir Pouran Ben Veyseh, et al.

Acronyms are the short forms of phrases that facilitate conveying lengthy sentences in documents and serve as one of the mainstays of writing. Due to their importance, identifying acronyms and corresponding phrases (i.e., acronym identification (AI)) and finding the correct meaning of each acronym (i.e., acronym disambiguation (AD)) are crucial for text understanding. Despite the recent progress on this task, there are some limitations in the existing datasets which hinder further improvement. More specifically, limited size of manually annotated AI datasets or noises in the automatically created acronym identification datasets obstruct designing advanced high-performing acronym identification models. Moreover, the existing datasets are mostly limited to the medical domain and ignore other domains. In order to address these two limitations, we first create a manually annotated large AI dataset for scientific domain. This dataset contains 17,506 sentences which is substantially larger than previous scientific AI datasets. Next, we prepare an AD dataset for scientific domain with 62,441 samples which is significantly larger than the previous scientific AD dataset. Our experiments show that the existing state-of-the-art models fall far behind human-level performance on both datasets proposed by this work. In addition, we propose a new deep learning model that utilizes the syntactical structure of the sentence to expand an ambiguous acronym in a sentence. The proposed model outperforms the state-of-the-art models on the new AD dataset, providing a strong baseline for future research on this dataset.


page 15

page 16


Acronym Identification and Disambiguation Shared Tasks for Scientific Document Understanding

Acronyms are the short forms of longer phrases and they are frequently u...

MACRONYM: A Large-Scale Dataset for Multilingual and Multi-Domain Acronym Extraction

Acronym extraction is the task of identifying acronyms and their expande...

Primer AI's Systems for Acronym Identification and Disambiguation

The prevalence of ambiguous acronyms make scientific documents harder to...

SciDr at SDU-2020: IDEAS – Identifying and Disambiguating Everyday Acronyms for Scientific Domain

We present our systems submitted for the shared tasks of Acronym Identif...

ChatGPT vs State-of-the-Art Models: A Benchmarking Study in Keyphrase Generation Task

Transformer-based language models, including ChatGPT, have demonstrated ...

Leveraging Domain Agnostic and Specific Knowledge for Acronym Disambiguation

An obstacle to scientific document understanding is the extensive use of...

MuLMS-AZ: An Argumentative Zoning Dataset for the Materials Science Domain

Scientific publications follow conventionalized rhetorical structures. C...

Please sign up or login with your details

Forgot password? Click here to reset