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← Core Methods
Machine Learning
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Core Methods
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Classification
15,289 papers
Papers per year
2000: 2
2001: 14
2002: 21
2003: 28
2004: 28
2005: 26
2006: 94
2007: 93
2008: 90
2009: 93
2010: 134
2011: 112
2012: 160
2013: 290
2014: 239
2015: 258
2016: 456
2017: 682
2018: 1145
2019: 1500
2020: 1638
2021: 1667
2022: 1636
2023: 1685
2024: 1600
2025: 1313
2026: 285
Papers
DocHieNet: A Large and Diverse Dataset for Document Hierarchy Parsing
EMNLP 2024
Oddballs and Misfits: Detecting Implicit Abuse in Which Identity Groups are Depicted as Deviating from the Norm
EMNLP 2024
African or European Swallow? Benchmarking Large Vision-Language Models for Fine-Grained Object Classification
EMNLP 2024
Message Passing on Semantic-Anchor-Graphs for Fine-grained Emotion Representation Learning and Classification
EMNLP 2024
Improving Multi-party Dialogue Generation via Topic and Rhetorical Coherence
EMNLP 2024
Using Language Models to Disambiguate Lexical Choices in Translation
EMNLP 2024
Methods of Automatic Matrix Language Determination for Code-Switched Speech
EMNLP 2024
SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
EMNLP 2024
Verba volant, scripta volant? Don’t worry! There are computational solutions for protoword reconstruction
EMNLP 2024
UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models
EMNLP 2024
CareCorpus+: Expanding and Augmenting Caregiver Strategy Data to Support Pediatric Rehabilitation
EMNLP 2024
ECON: On the Detection and Resolution of Evidence Conflicts
EMNLP 2024
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes
EMNLP 2024
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?
EMNLP 2024
The Best Defense is Attack: Repairing Semantics in Textual Adversarial Examples
EMNLP 2024
On the Relationship between Truth and Political Bias in Language Models
EMNLP 2024
Detecting Subtle Differences between Human and Model Languages Using Spectrum of Relative Likelihood
EMNLP 2024
Atomic Inference for NLI with Generated Facts as Atoms
EMNLP 2024
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights
EMNLP 2024
One2Set + Large Language Model: Best Partners for Keyphrase Generation
EMNLP 2024
Revisiting Supertagging for faster HPSG parsing
EMNLP 2024
Major Entity Identification: A Generalizable Alternative to Coreference Resolution
EMNLP 2024
Towards a Greek Proverb Atlas: Computational Spatial Exploration and Attribution of Greek Proverbs
EMNLP 2024
Applying Contrastive Learning to Code Vulnerability Type Classification
EMNLP 2024
GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains
EMNLP 2024
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