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Name: INK Lab @ USC
Type: Organization
Bio: Intelligence and Knowledge Discovery (INK) Research Lab at University of Southern California
Location: Los Angelas, CA
Blog: http://inklab.usc.edu/
Name: INK Lab @ USC
Type: Organization
Bio: Intelligence and Knowledge Discovery (INK) Research Lab at University of Southern California
Location: Los Angelas, CA
Blog: http://inklab.usc.edu/
Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)
Label Efficient Learning From Explanations
MACROSCORE - Scoring Scientific Research
Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)
Source Code for "Teaching Machine Comprehension with Compositional Explanations" (Findings of EMNLP 2020)
Source Code for paper "NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction", WWW 2020
Source Code for paper "Learning from Explanations with Neural Execution Tree", ICLR 2020
The data and code for NumerSense (EMNLP2020)
Label Noise Reduction in Entity Typing (KDD'16)
Code for paper Eliciting Knowledge from Experts: Automatic Transcript Parsing for Cognitive Task Analysis, in proceedings of ACL 2019
Codebase for Human Utility of FTRs at ACL 2023 -- In progress
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
ReCross: Unsupervised Cross-Task Generalization via Retrieval Augmentation
Data and Code for Paper "Reflect Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality" (EMNLP 2022)
Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)
RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge
A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners
This is the official PyTorch implementation of our NeurIPS 2021 paper: "SalKG: Learning From Knowledge Graph Explanations for Commonsense Reasoning"
Source code for paper "Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction" (EMNLP 2019)
Code for "Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models"
Performs entity detection, distant supervision, candidate generation, and produces JSON files for typing systems (PLE, AFET, CoType)
Code for Characterizing and Forecasting User Engagement with In-App Action Graphs: A Case Study of Snapchat
TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)
Code and data for NAACL 2021 paper "On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning"
Distantly Supervised Relation Extraction
Code and data for the project "Visually grounded continual learning of compositional semantics"
Code Repo for the ACL21 paper "Common Sense Beyond English: Evaluating and Improving Multilingual LMs for Commonsense Reasoning"
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