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09/18/2023
Positive and Risky Message Assessment for Music Products
In this work, we propose a novel research problem: assessing positive an...
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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 ...
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09/12/2023
Overview of GUA-SPA at IberLEF 2023: Guarani-Spanish Code Switching Analysis
We present the first shared task for detecting and analyzing code-switch...
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05/01/2023
SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation
Subjectivity and difference of opinion are key social phenomena, and it ...
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02/10/2023
Distillation of encoder-decoder transformers for sequence labelling
Driven by encouraging results on a wide range of tasks, the field of NLP...
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12/19/2022
The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges
Code-Switching, a common phenomenon in written text and conversation, ha...
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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...
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02/19/2022
CALCS 2021 Shared Task: Machine Translation for Code-Switched Data
To date, efforts in the code-switching literature have focused for the m...
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10/05/2021
Exploring Conditional Text Generation for Aspect-Based Sentiment Analysis
Aspect-based sentiment analysis (ABSA) is an NLP task that entails proce...
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09/20/2021
From None to Severe: Predicting Severity in Movie Scripts
In this paper, we introduce the task of predicting severity of age-restr...
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09/04/2021
Data Augmentation for Cross-Domain Named Entity Recognition
Current work in named entity recognition (NER) shows that data augmentat...
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04/20/2021
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Performance of neural models for named entity recognition degrades over ...
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01/26/2021
A Case Study of Deep Learning Based Multi-Modal Methods for Predicting the Age-Suitability Rating of Movie Trailers
In this work, we explore different approaches to combine modalities for ...
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10/24/2020
Char2Subword: Extending the Subword Embedding Space from Pre-trained Models Using Robust Character Compositionality
Byte-pair encoding (BPE) is a ubiquitous algorithm in the subword tokeni...
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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...
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08/10/2020
SemEval-2020 Task 9: Overview of Sentiment Analysis of Code-Mixed Tweets
In this paper, we present the results of the SemEval-2020 Task 9 on Sent...
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05/09/2020
LinCE: A Centralized Benchmark for Linguistic Code-switching Evaluation
Recent trends in NLP research have raised an interest in linguistic code...
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09/28/2019
Overview for the Second Shared Task on Language Identification in Code-Switched Data
We present an overview of the second shared task on language identificat...
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09/28/2019
Part of speech tagging for code switched data
We address the problem of Part of Speech tagging (POS) in the context of...
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09/11/2019
Dependency-Aware Named Entity Recognition with Relative and Global Attentions
Named entity recognition is one of the core tasks in NLP. Although many ...
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09/11/2019
From English to Code-Switching: Transfer Learning with Strong Morphological Clues
Code-switching is still an understudied phenomenon in natural language p...
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09/06/2019
Attending the Emotions to Detect Online Abusive Language
In recent years, abusive behavior has become a serious issue in online s...
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08/24/2019
Multi-view Characterization of Stories from Narratives and Reviews using Multi-label Ranking
This paper considers the problem of characterizing stories by inferring ...
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08/21/2019
Rating for Parents: Predicting Children Suitability Rating for Movies Based on Language of the Movies
The film culture has grown tremendously in recent years. The large numbe...
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06/10/2019
Named Entity Recognition on Code-Switched Data: Overview of the CALCS 2018 Shared Task
In the third shared task of the Computational Approaches to Linguistic C...
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06/10/2019
A Multi-task Approach for Named Entity Recognition in Social Media Data
Named Entity Recognition for social media data is challenging because of...
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06/10/2019
Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Recognizing named entities in a document is a key task in many NLP appli...
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05/03/2019
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspired Models
Domain-specific community question answering is becoming an integral par...
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05/03/2019
Question Relatedness on Stack Overflow: The Task, Dataset, and Corpus-inspiredModels
Domain-specific community question answering is becoming an integral par...
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08/15/2018
Folksonomication: Predicting Tags for Movies from Plot Synopses Using Emotion Flow Encoded Neural Network
Folksonomy of movies covers a wide range of heterogeneous information ab...
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07/31/2018
RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification
This paper presents our system for "TRAC 2018 Shared Task on Aggression ...
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07/30/2018
UH-PRHLT at SemEval-2016 Task 3: Combining Lexical and Semantic-based Features for Community Question Answering
In this work we describe the system built for the three English subtasks...
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05/24/2018
Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Books have the power to make us feel happiness, sadness, pain, surprise,...
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02/22/2018
MPST: A Corpus of Movie Plot Synopses with Tags
Social tagging of movies reveals a wide range of heterogeneous informati...
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02/07/2017