Shabnam Behzad
10 papers · 2020–2024 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 🗃️ Keyword Collector (61)
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Prolific Year · Productive
💎
Century Club · Bronze
Top co-authors
Research topics
Natural Language Processing
(7)
Applications
(7)
Machine Learning
(5)
Resources & Methods
(5)
Artificial Intelligence
(4)
Core AI
(4)
Deep Learning
(3)
Core Methods
(3)
Application Areas
(2)
Architectures
(2)
Learning Types · Machine Learning
(2)
Understanding
(2)
Interdisciplinary
(1)
Learning Types · Deep Learning
(1)
Linguistics
(1)
Keywords
cross-lingual transfer
(2)
metalinguistic question answering
(2)
language learning
(2)
information extraction
(2)
text classification
(1)
data augmentation
(1)
transfer learning
(1)
feedback generation
(1)
natural language processing
(1)
question answering
(1)
prompt engineering
(1)
named entity recognition
(1)
dependency parsing
(1)
parallel corpus
(1)
natural language understanding
(1)
annotation projection
(1)
sequence tagging
(1)
cross-lingual annotation
(1)
coreference resolution
(1)
structured prediction
(1)
Papers
Assessing Online Writing Feedback Resources: Generative AI vs. Good Samaritans
COLING 2024
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
EMNLP 2024
LEAF: Language Learners’ English Essays and Feedback Corpus
NAACL 2024
MultiMUC: Multilingual Template Filling on MUC-4
EACL 2024
To Ask LLMs about English Grammaticality, Prompt Them in a Different Language
EMNLP 2024
ELQA: A Corpus of Metalinguistic Questions and Answers about English
ACL 2023
GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation
ACL 2023
The Effect of Alignment Correction on Cross-Lingual Annotation Projection
ACL 2023
DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detection
EMNLP 2021
Team DoNotDistribute at SemEval-2020 Task 11: Features, Finetuning, and Data Augmentation in Neural Models for Propaganda Detection in News Articles
SemEval 2020