PlusLab

PlusLab's repositories

DEGREE

Code for our NAACL-2022 paper DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

Language:PythonApache-2.072 5 22

GEANet-BioMed-Event-Extraction

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

Language:PythonMIT60 4 3

[NAACL'21 Demo] EventPlus: a temporal event understanding pipeline that integrates various state-of-the-art event understanding components including event trigger and type detection, event argument detection, event duration and temporal relation extraction

Language:PythonApache-2.025 5 9

AMPERE

Code for our ACL-2023 paper AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

Language:Python20 4 4

Active-IT

Code for our EMNLP-2023 paper: "Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks"

Language:Jupyter Notebook18 4 1

Plot-guided-Coherence-Evaluation

Language:PythonApache-2.08 5 6

Sonnet-Gen

To appear at NAACL 2022: zero-shot sonnet generation

Language:Python8 5 1

DEAM

Language:Python7 30

GENEVA

Language:Python7 20

ACCENT

Language:Python5 30

TagPrime

Language:Python5 5 2

Dialogue_System_Hackathon

Language:Python4 8 2

ENVISION

Code for our EMNLP-2023 paper: "Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge"

4 4 1

AMRFact

3 4 2

clipscore-bias

Data for our EMNLP-2023 paper: "Gender Biases in Automatic Evaluation Metrics for Image Captioning"

3 30

Unified_Pun_Gen_with_Humor_Principles

Findings in EMNLP 2022: A Unified Framework for Pun Generation with Humor Principles

2 40

VP-CSV

Code repo for EMNLP-2022 Story Visualization Paper

Language:Jupyter Notebook200

acquired

Language:Jupyter NotebookMIT1 5 1

BOOST_EMNLP23

code of the EMNLP 23 paper: Harnessing Black-Box Control to Boost Commonsense in LMs’ Generation

1 3 1

CS162_HW1_coding

Language:Python1 30

Unified_PunGen

Paper for this EMNLP findings paper: A Unified Framework for Pun Generation with Humor Principles. Link: https://aclanthology.org/2022.findings-emnlp.237.pdf

Language:Python1 30