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- research-articleOctober 2024
Knowledge-injected Prompt Learning for Chinese Biomedical Entity Normalization
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 10Article No.: 144, Pages 1–21https://doi.org/10.1145/3689629The Biomedical Entity Normalization (BEN) task aims to align raw, unstructured medical entities to standard entities, thus promoting data coherence and facilitating better downstream medical applications. Recently, prompt learning methods have shown ...
- research-articleOctober 2024
Enhanced BERT-based Multi-Head Self-Attention Transformer for Transformation of Marathi Text to Marathi Sign Language Gloss
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 10Article No.: 140, Pages 1–16https://doi.org/10.1145/3687304One recent advancement in the field of machine learning is the translation of text into sign language gloss, which is a form of natural language for the deaf community. The work presented is a new method to translate Marathi text to Marathi sign language ...
- research-articleOctober 2024
CNN-Based Models for Emotion and Sentiment Analysis Using Speech Data
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 10Article No.: 142, Pages 1–24https://doi.org/10.1145/3687303The study aims to present an in-depth Sentiment Analysis (SA) grounded by the presence of emotions in the speech signals. Nowadays, all kinds of web-based applications ranging from social media platforms and video-sharing sites to e-commerce applications ...
- research-articleOctober 2024
Translation from Tunisian Dialect to Modern Standard Arabic: Exploring Finite-State Transducers and Sequence-to-Sequence Transformer Approaches
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 10Article No.: 139, Pages 1–19https://doi.org/10.1145/3681788Translation from the mother tongue, including the Tunisian dialect, to modern standard Arabic is a highly significant field in natural language processing due to its wide range of applications and associated benefits. Recently, researchers have shown ...
- research-articleOctober 2024
Low Resource Summarization using Pre-trained Language Models
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 10Article No.: 141, Pages 1–19https://doi.org/10.1145/3675780With the advent of Deep Learning-based Artificial Neural Network models, Natural Language Processing (NLP) has witnessed significant improvements in textual data processing in terms of its efficiency and accuracy. However, the research is mostly ...
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- research-articleOctober 2024
TRGCN: A Prediction Model for Information Diffusion Based on Transformer and Relational Graph Convolutional Network
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 10Article No.: 143, Pages 1–17https://doi.org/10.1145/3672074In order to capture and integrate the structural features and temporal features contained in social graph and diffusion cascade more effectively, an information diffusion prediction model based on the Transformer and Relational Graph Convolutional Network ...
- research-articleOctober 2024JUST ACCEPTED
SMDDH: Singleton Mention Detection using Deep Learning in Hindi Text
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3700821Mention detection is an important component of the Coreference Resolution (CR) system, where mentions such as name, nominal, and pronominals are identified. These mentions can be purely coreferential mentions or singleton mentions (non-coreferential ...
- research-articleOctober 2024JUST ACCEPTED
Overview of Multimodal Machine Learning
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3701031Human nature is fundamentally driven by the need for interaction and attention, which are fulfilled through various sensory modalities, including hearing, sight, touch, taste, and smell. These senses enable us to perceive, understand, and engage with the ...
- research-articleOctober 2024JUST ACCEPTED
RPEPL: Tibetan Sentiment Analysis Based on Relative Position Encoding and Prompt Learning
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3698575Sentiment analysis is a critical task for natural language processing. Much research has been done for high-resource languages such as English and Chinese. However, Tibetan is an extremely low-resource language with less reference information. According ...
- research-articleOctober 2024JUST ACCEPTED
SIAT: Document-level Event Extraction via Spatiality-Augmented Interaction Model with Adaptive Thresholding
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3698261Document-level event extraction endeavors to automatically extract structural events from a given document. Many existing approaches focus on modeling entity interactions and decoding these interactions into events, assigning each entity as an event ...
- research-articleOctober 2024JUST ACCEPTED
CantonMT: Investigating Back-Translation and Model-Switch Mechanisms for Cantonese-English Neural Machine Translation
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3698236This paper investigates the development and evaluation of machine translation models from Cantonese to English (and backward), where we propose a novel approach to tackle low-resource language translations. Despite recent improvements in Neural Machine ...
- research-articleOctober 2024JUST ACCEPTED
Context-Aware Adversarial Graph-Based Learning for Multilingual Grammatical Error Correction
- Naresh Kumar,
- Parveen Kumar,
- Sushreeta Tripathy,
- Neelamani Samal,
- Debasis Gountia,
- Praveen Gatla,
- Teekam Singh
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3696106Correcting grammatical errors in various language contexts is a crucial and challenging task in the field of natural language processing, commonly referred to as Multilingual Grammatical Error Correction. This paper elaborates the Adversarial Temporal ...
- research-articleOctober 2024JUST ACCEPTED
An Emotional Dialogue System Using Conditional Generative Adversarial Networks with a Sequence-to-Sequence Transformer Encoder
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3698394Understanding the expression of emotion and generating appropriate responses are key steps toward constructing emotional, conversational agents. In this paper, we propose a framework for single-turn emotional conversation generation, and there are three ...
- research-articleSeptember 2024JUST ACCEPTED
Knowledge Graph Guided Neural Machine Translation with Dynamic Reinforce-selected Triples
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3696664Previous methods incorporating knowledge graphs (KGs) into neural machine translation (NMT) adopt a static knowledge utilization strategy, that introduces many useless knowledge triples and makes the useful triples difficult be utilized by NMT. To address ...
- research-articleSeptember 2024JUST ACCEPTED
A Novel Approach for Sentiment Analysis of a Low Resource Language Using Deep Learning Models
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3696789Sentiment analysis is a process of dealing with people's opinions, remarks, and comments to extract valuable insights from them. Sentiment analysis can be used for various purposes like market analysis, campaign monitoring, decision-making, etc. In recent ...
- research-articleSeptember 2024JUST ACCEPTED
Improving Cross-lingual Aspect-based Sentiment Analysis with Sememe Bridge
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3691342Aspect-based Sentiment Analysis (ABSA) comprises numerous subtasks including aspect term extraction (AE), opinion term extraction (OE), opinion pair extraction (PE), and triplet extraction (TE). Current research in Chinese ABSA primarily concentrates on ...
- research-articleSeptember 2024JUST ACCEPTED
HindiSumm: A Hindi Abstractive Summarization benchmark dataset
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3696207Abstractive Text Summarization (ATS) is a task to create a novel summary by generating fresh sentences incorporating new words or rephrasing the article. It is a complex task as the model needs to understand the semantic similarity between the sentences ...
- short-paperSeptember 2024JUST ACCEPTED
Social-sum-Mal: A Dataset for Abstractive Text Summarization in Malayalam
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3696107Abstractive text summarization techniques for Malayalam language is still in its infancy. The lack of benchmarked datasets for this task is one of the constraints in developing and testing good models. Malayalam has seven nominal case forms, two nominal ...
- research-articleSeptember 2024JUST ACCEPTED
Analysing Psychological Sentiment Prediction Across Modalities: Harnessing Emotion Datasets within Natural Language Processing (NLP)
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3687305Studying human emotions and feelings is a crucial element in the field of psychology, having significant implications such as evaluating mental health and improving human-computer interactions. Recently, there has been a rise in interest in examining how ...
- research-articleSeptember 2024JUST ACCEPTED
EADRE: Event-type Aware Dynamic Representation of Entities in Document-level Event Extraction
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3695767Document-level Event Extraction (DEE) aims to identify event types and arguments from one document. However, existing methods fail to consider semantic distinctions between multiple mentions of one entity, and ignore dynamic representation of entities ...