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02/08/2023
GPTScore: Evaluate as You Desire
Generative Artificial Intelligence (AI) has enabled the development of s...
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10/05/2022
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations
Knowledge-grounded dialog systems need to incorporate smooth transitions...
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05/04/2022
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification
In this paper, we ask the research question of whether all the datasets ...
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04/29/2022
Polyglot Prompt: Multilingual Multitask PrompTraining
This paper aims for a potential architectural breakthrough for multiling...
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02/25/2022
DataLab: A Platform for Data Analysis and Intervention
Despite data's crucial role in machine learning, most existing tools and...
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08/27/2021
A Partition Filter Network for Joint Entity and Relation Extraction
In joint entity and relation extraction, existing work either sequential...
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07/28/2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing
This paper surveys and organizes research works in a new paradigm in nat...
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06/01/2021
SpanNER: Named Entity Re-/Recognition as Span Prediction
Recent years have seen the paradigm shift of Named Entity Recognition (N...
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04/15/2021
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation
Machine learning has brought striking advances in multilingual natural l...
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04/13/2021
EXPLAINABOARD: An Explainable Leaderboard for NLP
With the rapid development of NLP research, leaderboards have emerged as...
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04/09/2021
Larger-Context Tagging: When and Why Does It Work?
The development of neural networks and pretraining techniques has spawne...
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03/21/2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
Various robustness evaluation methodologies from different perspectives ...
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02/10/2021
Towards More Fine-grained and Reliable NLP Performance Prediction
Performance prediction, the task of estimating a system's performance wi...
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11/13/2020
RethinkCWS: Is Chinese Word Segmentation a Solved Task?
The performance of the Chinese Word Segmentation (CWS) systems has gradu...
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11/13/2020
Interpretable Multi-dataset Evaluation for Named Entity Recognition
With the proliferation of models for natural language processing tasks, ...
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01/12/2020
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study
While neural network-based models have achieved impressive performance o...
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06/04/2019
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
In this work, we explore the way to perform named entity recognition (NE...
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05/29/2019
