← Authors

Philip Yu

40 papers · 2014–2024 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (72) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🀝 Dynamic Duo (12) 🧬 Topic Evolution πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (165) ❓ The Questioner (3) πŸ’Ž 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

Congying Xia (12) Chenwei Zhang (9) Yao Wan (9) Ye Liu (8) Zhongfen Deng (6) Jianguo Zhang (6) Wenting Zhao (6) Caiming Xiong (5) Kazuma Hashimoto (4) Bing Liu (4)

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