INK Lab @ USC
- Los Angelas, CA
- http://inklab.usc.edu/
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Pinned repositories
Repositories
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DualRE
Source code for paper: "Learning Dual Retrieval Module for Semi-supervised Relation Extraction"
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DArtNet
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution
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RE-Net
Recurrent Event Network: Global Structure Inference over Temporal Knowledge Graph (ICLR-RLGM 2019)
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TriggerNER
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
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MHGRN
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering
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KagNet Archived
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
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hierarchical-explanation-neural-sequence-models
Source code for "Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models", ICLR 2020.
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GMED
Source code for "Gradient Based Memory Editing for Task-Free Continual Learning", 4th Lifelong ML Workshop@ICML 2020
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CommonGen
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
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USC-DS-RelationExtraction Archived
Distantly Supervised Relation Extraction
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NExT
Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020
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NERO
Source Code for paper "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction", WWW 2020
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IsoBN
IsoBN: Fine-Tuning BERT with Isotropic Batch Normalization
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VisCOLL
Code and data for the project "Visually grounded continual learning of compositional semantics"
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AlpacaTag
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)
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shifted-label-distribution
Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)
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CPL
Collaborative Policy Learning for Open Knowledge Graph Reasoning (EMNLP 2019)
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procedural-extraction
Code for paper Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis, in proceedings of ACL 2019
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temporal-gcn-lstm
Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
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StructMineDataPipeline
Performs entity detection, distant supervision, candidate generation, and produces JSON files for typing systems (PLE, AFET, CoType)
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ReQuest
Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)
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PLE
Label Noise Reduction in Entity Typing (KDD'16)
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ClusType
Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)
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AFET
AFET: Automatic Fine-Grained Entity Typing (EMNLP'16)
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