Media Summary: This is the Azimuth system demo as presented at The Daniel Deutsch and Rotem Dror and Dan Roth, "On the Limitations of Reference-Free Evaluations of Generated Text," Authors: Rottmann, Matthias; Reese, Marco* Description: In this work, we for the first time present a method for

Emnlp 2022 Detecting Label Errors - Detailed Analysis & Overview

This is the Azimuth system demo as presented at The Daniel Deutsch and Rotem Dror and Dan Roth, "On the Limitations of Reference-Free Evaluations of Generated Text," Authors: Rottmann, Matthias; Reese, Marco* Description: In this work, we for the first time present a method for ML models are only as good as the data they are trained on. Learn how you can use Labelbox to find EMNLP 2021: Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems Introduction to Data-Centric AI, MIT IAP 2023. You can find the lecture notes and lab assignment for this lecture at ...

Fine-grained Contrastive Learning for Relation Extraction (EMNLP, 2022) Teaser video for the publication "Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts" ( An intelligent copywriting generation platform based on social data.

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EMNLP 2022: Detecting Label Errors by using Pre-Trained Language Models
EMNLP 2022 System Demo - Azimuth: Systematic Error Analysis for Text Classification
Learning to Explain Selectively, EMNLP 2022 [Research]
EMNLP 2022: Predicting Fine-tuning Performance with Probing (2-min version)
EMNLP 2022: On the Limitations of Reference-Free Evaluations of Generated Text.
Automated Detection of Labeling Errors in Semantic Segmentation Datasets via Deep Learning and Unce
How to find and fix label errors
EMNLP 2021: Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems
[EMNLP'22] ULN: Towards Underspecified Vision-and-Language Navigation
Lecture 2: Label Errors
Fine-grained Contrastive Learning for Relation Extraction (EMNLP, 2022)
Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts (EMNLP 2022 Teaser)
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EMNLP 2022: Detecting Label Errors by using Pre-Trained Language Models

EMNLP 2022: Detecting Label Errors by using Pre-Trained Language Models

Paper: https://arxiv.org/abs/2205.12702.

EMNLP 2022 System Demo - Azimuth: Systematic Error Analysis for Text Classification

EMNLP 2022 System Demo - Azimuth: Systematic Error Analysis for Text Classification

This is the Azimuth system demo as presented at The

Learning to Explain Selectively, EMNLP 2022 [Research]

Learning to Explain Selectively, EMNLP 2022 [Research]

Read the paper here: https://users.umiacs.umd.edu/~jbg/docs/2022_emnlp_augment.pdf.

EMNLP 2022: Predicting Fine-tuning Performance with Probing (2-min version)

EMNLP 2022: Predicting Fine-tuning Performance with Probing (2-min version)

https://arxiv.org/pdf/2210.07352.pdf.

EMNLP 2022: On the Limitations of Reference-Free Evaluations of Generated Text.

EMNLP 2022: On the Limitations of Reference-Free Evaluations of Generated Text.

Daniel Deutsch and Rotem Dror and Dan Roth, "On the Limitations of Reference-Free Evaluations of Generated Text,"

Automated Detection of Labeling Errors in Semantic Segmentation Datasets via Deep Learning and Unce

Automated Detection of Labeling Errors in Semantic Segmentation Datasets via Deep Learning and Unce

Authors: Rottmann, Matthias; Reese, Marco* Description: In this work, we for the first time present a method for

How to find and fix label errors

How to find and fix label errors

ML models are only as good as the data they are trained on. Learn how you can use Labelbox to find

EMNLP 2021: Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems

EMNLP 2021: Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems

EMNLP 2021: Multi-Class Grammatical Error Detection for Correction: A Tale of Two Systems

[EMNLP'22] ULN: Towards Underspecified Vision-and-Language Navigation

[EMNLP'22] ULN: Towards Underspecified Vision-and-Language Navigation

3 min teaser video for our

Lecture 2: Label Errors

Lecture 2: Label Errors

Introduction to Data-Centric AI, MIT IAP 2023. You can find the lecture notes and lab assignment for this lecture at ...

Fine-grained Contrastive Learning for Relation Extraction (EMNLP, 2022)

Fine-grained Contrastive Learning for Relation Extraction (EMNLP, 2022)

Fine-grained Contrastive Learning for Relation Extraction (EMNLP, 2022)

Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts (EMNLP 2022 Teaser)

Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts (EMNLP 2022 Teaser)

Teaser video for the publication "Why Do You Feel This Way? Summarizing Triggers of Emotions in Social Media Posts" (

EMNLP 2022 Demo Submission - An intelligent copywriting generation platform based on social data

EMNLP 2022 Demo Submission - An intelligent copywriting generation platform based on social data

An intelligent copywriting generation platform based on social data.