Philip Yu
40 papers · 2014–2024 · 9 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (10)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🏃
Academic Marathon
(10)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
🔥
Unstoppable
(7)
🚀
Conference Pioneer
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(165)
❓
The Questioner
(3)
💎
Century Club
(40)
Conferences
EMNLP (12)
NAACL (8)
COLING (7)
ACL (6)
AACL (2)
IJCNLP (2)
AAAI (1)
EACL (1)
ICML (1)
Top co-authors
Keywords
few-shot learning
(6)
transfer learning
(5)
intent classification
(4)
intent detection
(4)
domain adaptation
(4)
pre-trained language model
(3)
contrastive learning
(3)
natural language inference
(3)
large language model
(3)
knowledge transfer
(3)
zero-shot learning
(3)
natural language understanding
(2)
named entity recognition
(2)
cross-lingual transfer
(2)
attention mechanism
(2)
self-supervised learning
(2)
text classification
(2)
representation learning
(2)
knowledge distillation
(2)
question answering
(2)
Papers
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning
NAACL 2024
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text
NAACL 2024
Evaluating Robustness of Generative Search Engine on Adversarial Factoid Questions
ACL 2024
Stronger, Lighter, Better: Towards Life-Long Attribute Value Extraction for E-Commerce Products
ACL 2024
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
AACL 2023
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
EMNLP 2023
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
IJCNLP 2023
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach
IJCNLP 2023
Enhancing Cross-lingual Transfer via Phonemic Transcription Integration
ACL 2023
All Labels Together: Low-shot Intent Detection with an Efficient Label Semantic Encoding Paradigm
AACL 2023
Can Current Explainability Help Provide References in Clinical Notes to Support Humans Annotate Medical Codes?
EMNLP 2022
XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
NAACL 2022
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-Checking
NAACL 2022
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection
ACL 2022
HiURE: Hierarchical Exemplar Contrastive Learning for Unsupervised Relation Extraction
NAACL 2022
Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning
EMNLP 2021
HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
NAACL 2021
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization
EMNLP 2021
Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System
NAACL 2021
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots
EMNLP 2021
Dense Hierarchical Retrieval for Open-domain Question Answering
EMNLP 2021
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation
EACL 2021
Dynamic Semantic Matching and Aggregation Network for Few-shot Intent Detection
EMNLP 2020
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing
COLING 2020
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis
COLING 2020
Mixup-Transformer: Dynamic Data Augmentation for NLP Tasks
COLING 2020
User Memory Reasoning for Conversational Recommendation
COLING 2020
Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
COLING 2020
Improving Medical NLI Using Context-Aware Domain Knowledge
COLING 2020
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
COLING 2020
SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction
EMNLP 2020
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference
EMNLP 2020
DomBERT: Domain-oriented Language Model for Aspect-based Sentiment Analysis
EMNLP 2020
Composed Variational Natural Language Generation for Few-shot Intents
EMNLP 2020
BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis
NAACL 2019
Adversarial Learning for Weakly-Supervised Social Network Alignment
AAAI 2019
Joint Slot Filling and Intent Detection via Capsule Neural Networks
ACL 2019
Multi-grained Named Entity Recognition
ACL 2019
Zero-shot User Intent Detection via Capsule Neural Networks
EMNLP 2018
Learning the Consistent Behavior of Common Users for Target Node Prediction across Social Networks
ICML 2014