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Neha Anna John

dblp:331/2445 · DBLP profile ↗
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5ranked-venue papers
0as first author
5since 2021 · last 2024
—ORCID · none

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

Artificial intelligence and machine learning · 5 · 5 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.

Artificial intelligence
3 papers
Trustworthy machine learning · 48% Information extraction and text analysis · 32% Knowledge representation and reasoning · 16%

Topics — the 5 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Machine learning › Trustworthy machine learning › robustness
distribution shift
0.712023
Characterizing and Measuring Linguistic Dataset Drift · ACL (1) 2023
Natural language and speech › Information extraction and text analysis
named entity recognition
0.712023
Taxonomy Expansion for Named Entity Recognition · EMNLP 2023
Machine learning › Trustworthy machine learning
robustness
0.712023
Characterizing and Measuring Linguistic Dataset Drift · ACL (1) 2023
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge acquisition › ontology learning
taxonomy expansion
0.712023
Taxonomy Expansion for Named Entity Recognition · EMNLP 2023
Natural language and speech › Language models and text generation › multilingual learning
multilingual training
0.212023
Comparing Biases and the Impact of Multilingual Training across Multiple Languages · EMNLP 2023

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

language model prompting · 0.7dataset characterization · 0.7bias evaluation · 0.7
YearPublicationVenuePosition
2024 A Weak Supervision Approach for Few-Shot Aspect Based Sentiment Analysis
abstract
Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.
Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan
EACL (1)6
2023 Characterizing and Measuring Linguistic Dataset Drift
abstract
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2023.
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth 0001
ACL (1)3
2023 Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
abstract
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. 2023.
Aikaterini Margatina, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros
EACL4
2023 Taxonomy Expansion for Named Entity Recognition
abstract
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Karthikeyan K, Yogarshi Vyas, Jie Ma 0005, Giovanni Paolini, Neha Anna John, Yassine Benajiba, Vittorio Castelli, Dan Roth 0001, Miguel Ballesteros
EMNLP5
2023 Comparing Biases and the Impact of Multilingual Training across Multiple Languages
abstract
Sharon Levy, Neha John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. 2023.
Sharon Levy, Neha Anna John, Yogarshi Vyas, Jie Ma 0005, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth 0001
EMNLP2