Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Miguel Ballesteros

Miguel Ballesteros
Alert button

Characterizing and Measuring Linguistic Dataset Drift


May 26, 2023
Tyler A. Chang, Kishaloy Halder, Neha Anna John, Yogarshi Vyas, Yassine Benajiba, Miguel Ballesteros, Dan Roth

Add code
Alert button

* Accepted to ACL 2023 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Taxonomy Expansion for Named Entity Recognition


May 22, 2023
Karthikeyan K, Yogarshi Vyas, Jie Ma, Giovanni Paolini, Neha Anna John, Shuai Wang, Yassine Benajiba, Vittorio Castelli, Dan Roth, Miguel Ballesteros

Add code
Alert button

Figure 1 for Taxonomy Expansion for Named Entity Recognition
Figure 2 for Taxonomy Expansion for Named Entity Recognition
Figure 3 for Taxonomy Expansion for Named Entity Recognition
Figure 4 for Taxonomy Expansion for Named Entity Recognition

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

A Weak Supervision Approach for Few-Shot Aspect Based Sentiment


May 19, 2023
Robert Vacareanu, Siddharth Varia, Kishaloy Halder, Shuai Wang, Giovanni Paolini, Neha Anna John, Miguel Ballesteros, Smaranda Muresan

Add code
Alert button

Figure 1 for A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
Figure 2 for A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
Figure 3 for A Weak Supervision Approach for Few-Shot Aspect Based Sentiment
Figure 4 for A Weak Supervision Approach for Few-Shot Aspect Based Sentiment

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Comparing Biases and the Impact of Multilingual Training across Multiple Languages


May 18, 2023
Sharon Levy, Neha Anna John, Ling Liu, Yogarshi Vyas, Jie Ma, Yoshinari Fujinuma, Miguel Ballesteros, Vittorio Castelli, Dan Roth

Add code
Alert button

Figure 1 for Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Figure 2 for Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Figure 3 for Comparing Biases and the Impact of Multilingual Training across Multiple Languages
Figure 4 for Comparing Biases and the Impact of Multilingual Training across Multiple Languages

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization


Mar 21, 2023
Ming Shen, Jie Ma, Shuai Wang, Yogarshi Vyas, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba

Add code
Alert button

Figure 1 for Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
Figure 2 for Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
Figure 3 for Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
Figure 4 for Simple Yet Effective Synthetic Dataset Construction for Unsupervised Opinion Summarization
* EACL 2023 Findings 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views


Feb 23, 2023
Katerina Margatina, Shuai Wang, Yogarshi Vyas, Neha Anna John, Yassine Benajiba, Miguel Ballesteros

Add code
Alert button

Figure 1 for Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Figure 2 for Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Figure 3 for Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
Figure 4 for Dynamic Benchmarking of Masked Language Models on Temporal Concept Drift with Multiple Views
* To appear at EACL 2023. Our code will be available at https://github.com/amazon-science/temporal-robustness 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection


Nov 09, 2022
Hardy Hardy, Miguel Ballesteros, Faisal Ladhak, Muhammad Khalifa, Vittorio Castelli, Kathleen McKeown

Add code
Alert button

Figure 1 for Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
Figure 2 for Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
Figure 3 for Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection
Figure 4 for Novel Chapter Abstractive Summarization using Spinal Tree Aware Sub-Sentential Content Selection

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis


Oct 12, 2022
Siddharth Varia, Shuai Wang, Kishaloy Halder, Robert Vacareanu, Miguel Ballesteros, Yassine Benajiba, Neha Anna John, Rishita Anubhai, Smaranda Muresan, Dan Roth

Add code
Alert button

Figure 1 for Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
Figure 2 for Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
Figure 3 for Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis
Figure 4 for Instruction Tuning for Few-Shot Aspect-Based Sentiment Analysis

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents


Oct 11, 2022
Muhammad Khalifa, Yogarshi Vyas, Shuai Wang, Graham Horwood, Sunil Mallya, Miguel Ballesteros

Add code
Alert button

Figure 1 for Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
Figure 2 for Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
Figure 3 for Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents
Figure 4 for Contrastive Training Improves Zero-Shot Classification of Semi-structured Documents

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning


Apr 23, 2022
Vishakh Padmakumar, Leonard Lausen, Miguel Ballesteros, Sheng Zha, He He, George Karypis

Add code
Alert button

Figure 1 for Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
Figure 2 for Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
Figure 3 for Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
Figure 4 for Exploring the Role of Task Transferability in Large-Scale Multi-Task Learning
* Accepted to appear at NAACL 2022 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
3
4
5
>>