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Niranjana Unnithan

dblp:348/5493 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computational social science and digital humanities · 100%
Artificial intelligence
1 paper
Information extraction and text analysis · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational social science and digital humanities
scientometrics
0.712023
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics · EMNLP 2023
Natural language and speech › Information extraction and text analysis
text classification
0.212023
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics · EMNLP 2023
Natural language and speech › Information extraction and text analysis › knowledge discovery from text
topic detection
0.212023
The ACL OCL Corpus: Advancing Open Science in Computational Linguistics · EMNLP 2023

Methods — techniques the papers use, named apart from their topics

supervised neural model · 1.3
YearPublicationVenuePosition
2023 The ACL OCL Corpus: Advancing Open Science in Computational Linguistics
abstract
We present ACL OCL, a scholarly corpus derived from the ACL Anthology to assist Open scientific research in the Computational Linguistics domain.Integrating and enhancing the previous versions of the ACL Anthology, the ACL OCL contributes metadata, PDF files, citation graphs and additional structured full texts with sections, figures, and links to a large knowledge resource (Semantic Scholar).The ACL OCL spans seven decades, containing 73K papers, alongside 210K figures.We spotlight how ACL OCL applies to observe trends in computational linguistics.By detecting paper topics with a supervised neural model, we note that interest in "Syntax: Tagging, Chunking and Parsing" is waning and "Natural Language Generation" is resurging.Our dataset is available from HuggingFace 1 .
Shaurya Rohatgi, Yanxia Qin, Benjamin Aw, Niranjana Unnithan, Min-Yen Kan
EMNLP4