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INK Lab @ USC's Projects

kagnet icon kagnet

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

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Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

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Source Code for "Teaching Machine Comprehension with Compositional Explanations" (Findings of EMNLP 2020)

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Source Code for paper "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction", WWW 2020

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Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020

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Label Noise Reduction in Entity Typing (KDD'16)

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Code for paper Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis, in proceedings of ACL 2019

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Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

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ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation

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Data and Code for Paper "Reflect Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality" (EMNLP 2022)

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Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)

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RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

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A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners

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This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"

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Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)

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Code for "Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models"

structminedatapipeline icon structminedatapipeline

Performs entity detection, distant supervision, candidate generation, and produces JSON files for typing systems (PLE, AFET, CoType)

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Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat

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TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

upstream-bias-mitigation icon upstream-bias-mitigation

Code and data for NAACL 2021 paper "On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning"

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Code and data for the project "Visually grounded continual learning of compositional semantics"

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Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"

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