Leonardo Neves | DeepAI

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∙ 09/16/2023

Context-aware Adversarial Attack on Named Entity Recognition

In recent years, large pre-trained language models (PLMs) have achieved ...

0 Shuguang Chen, et al. ∙

∙ 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...

0 Daniel Loureiro, et al. ∙

∙ 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...

0 Shuguang Chen, et al. ∙

∙ 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...

0 Asahi Ushio, et al. ∙

∙ 10/03/2022

SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis

We propose MINT, a new Multilingual INTimacy analysis dataset covering 1...

0 Jiaxin Pei, et al. ∙

∙ 09/20/2022

Twitter Topic Classification

Social media platforms host discussions about a wide variety of topics t...

3 Dimosthenis Antypas, et al. ∙

∙ 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...

0 Daniel Loureiro, et al. ∙

∙ 02/08/2022

TimeLMs: Diachronic Language Models from Twitter

Despite its importance, the time variable has been largely neglected in ...

0 Daniel Loureiro, et al. ∙

∙ 09/04/2021

Data Augmentation for Cross-Domain Named Entity Recognition

Current work in named entity recognition (NER) shows that data augmentat...

5 Shuguang Chen, et al. ∙

∙ 04/20/2021

Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp

Performance of neural models for named entity recognition degrades over ...

0 Shuguang Chen, et al. ∙

∙ 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...

0 Brihi Joshi, et al. ∙

∙ 10/24/2020

Efficiently Mitigating Classification Bias via Transfer Learning

Prediction bias in machine learning models refers to unintended model be...

0 Xisen Jin, et al. ∙

∙ 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...

9 Shuguang Chen, et al. ∙

∙ 10/23/2020

TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification

The experimental landscape in natural language processing for social med...

0 Francesco Barbieri, et al. ∙

∙ 06/11/2020

Data Augmentation for Graph Neural Networks

Data augmentation has been widely used to improve generalizability of ma...

0 Tong Zhao, et al. ∙

∙ 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...

0 Ziqi Wang, et al. ∙

∙ 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...

0 Ziqi Wang, et al. ∙

∙ 09/05/2019

Neural Rule Grounding for Low-Resource Relation Extraction

While deep neural models have gained successes on information extraction...

0 Wenxuan Zhou, et al. ∙

∙ 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 ...

0 Lahari Poddar, et al. ∙

∙ 02/22/2018

Multimodal Named Entity Recognition for Short Social Media Posts

We introduce a new task called Multimodal Named Entity Recognition (MNER...

0 Seungwhan Moon, et al. ∙

∙ 12/01/2017

Visual Features for Context-Aware Speech Recognition

Automatic transcriptions of consumer-generated multi-media content such ...

0 Yajie Miao, et al. ∙

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