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Machine Learning
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Domain Adaptation
8,656 papers
Papers per year
2003: 1
2004: 2
2006: 11
2007: 9
2008: 8
2009: 13
2010: 14
2011: 16
2012: 16
2013: 44
2014: 32
2015: 44
2016: 126
2017: 203
2018: 378
2019: 662
2020: 726
2021: 1006
2022: 964
2023: 1217
2024: 1326
2025: 1387
2026: 451
Papers
Cross-Lingual Leveled Reading Based on Language-Invariant Features
EMNLP 2021
Open-Domain Contextual Link Prediction and its Complementarity with Entailment Graphs
EMNLP 2021
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application
EMNLP 2021
mDAPT: Multilingual Domain Adaptive Pretraining in a Single Model
EMNLP 2021
Evidence-based Fact-Checking of Health-related Claims
EMNLP 2021
ODIST: Open World Classification via Distributionally Shifted Instances
EMNLP 2021
Parameter-Efficient Domain Knowledge Integration from Multiple Sources for Biomedical Pre-trained Language Models
EMNLP 2021
Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings
EMNLP 2021
Non-Parametric Unsupervised Domain Adaptation for Neural Machine Translation
EMNLP 2021
Micromodels for Efficient, Explainable, and Reusable Systems: A Case Study on Mental Health
EMNLP 2021
Secoco: Self-Correcting Encoding for Neural Machine Translation
EMNLP 2021
Fine-grained Typing of Emerging Entities in Microblogs
EMNLP 2021
Multi-task and Multi-corpora Training Strategies to Enhance Argumentative Sentence Linking Performance
EMNLP 2021
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
EMNLP 2021
Comparison of methods for explicit discourse connective identification across various domains
EMNLP 2021
Improving Multi-Party Dialogue Discourse Parsing via Domain Integration
EMNLP 2021
Does language help generalization in vision models?
EMNLP 2021
Exploring Metaphoric Paraphrase Generation
EMNLP 2021
The Influence of Regional Pronunciation Variation on Children’s Spelling and the Potential Benefits of Accent Adapted Spellcheckers
EMNLP 2021
Improving Span Representation for Domain-adapted Coreference Resolution
EMNLP 2021
A Fine-Grained Annotated Corpus for Target-Based Opinion Analysis of Economic and Financial Narratives
EMNLP 2021
From Stock Prediction to Financial Relevance: Repurposing Attention Weights to Assess News Relevance Without Manual Annotations
EMNLP 2021
The Highs and Lows of Simple Lexical Domain Adaptation Approaches for Neural Machine Translation
EMNLP 2021
Do not neglect related languages: The case of low-resource Occitan cross-lingual word embeddings
EMNLP 2021
Regularising Fisher Information Improves Cross-lingual Generalisation
EMNLP 2021
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