research
∙
09/16/2023
Context-aware Adversarial Attack on Named Entity Recognition
In recent years, large pre-trained language models (PLMs) have achieved ...
share
research
∙
08/04/2023
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter
This paper introduces a large collection of time series data derived fro...
research
∙
10/14/2022
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
In this work, we take the named entity recognition task in the English l...
research
∙
10/07/2022
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Recent progress in language model pre-training has led to important impr...
research
∙
10/03/2022
SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis
We propose MINT, a new Multilingual INTimacy analysis dataset covering 1...
research
∙
09/20/2022
Twitter Topic Classification
Social media platforms host discussions about a wide variety of topics t...
research
∙
09/15/2022
TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media
Language evolves over time, and word meaning changes accordingly. This i...
research
∙
02/08/2022
TimeLMs: Diachronic Language Models from Twitter
Despite its importance, the time variable has been largely neglected in ...
research
∙
09/04/2021
Data Augmentation for Cross-Domain Named Entity Recognition
Current work in named entity recognition (NER) shows that data augmentat...
research
∙
04/20/2021
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Performance of neural models for named entity recognition degrades over ...
research
∙
11/02/2020
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
Contextual embeddings derived from transformer-based neural language mod...
research
∙
10/24/2020
Efficiently Mitigating Classification Bias via Transfer Learning
Prediction bias in machine learning models refers to unintended model be...
research
∙
10/23/2020
A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition
Multimodal named entity recognition (MNER) requires to bridge the gap be...
research
∙
10/23/2020
TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification
The experimental landscape in natural language processing for social med...
research
∙
06/11/2020
Data Augmentation for Graph Neural Networks
Data augmentation has been widely used to improve generalizability of ma...
research
∙
11/04/2019
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
research
∙
11/04/2019
Learning to Annotate: Modularizing Data Augmentation for TextClassifiers with Natural Language Explanations
Deep neural networks usually require massive labeled data, which restric...
research
∙
09/05/2019
Neural Rule Grounding for Low-Resource Relation Extraction
While deep neural models have gained successes on information extraction...
research
∙
03/29/2019
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Tracking user reported bugs requires considerable engineering effort in ...
research
∙
02/22/2018
Multimodal Named Entity Recognition for Short Social Media Posts
We introduce a new task called Multimodal Named Entity Recognition (MNER...
research
∙
12/01/2017