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- 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-articleAugust 2024JUST ACCEPTED
Stacked Classification Approach using Optimized Hybrid Deep Learning Model for Early Prediction of Behaviour Changes on Social Media
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3689906Detecting signs of suicidal thoughts on social media is paramount for preventing suicides, given the platforms' role as primary outlets for emotional expression. Traditional embedding techniques focus solely on semantic analysis and lack the sentiment ...
- research-articleAugust 2024
Augmenting Low-Resource Cross-Lingual Summarization with Progression-Grounded Training and Prompting
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 9Article No.: 129, Pages 1–22https://doi.org/10.1145/3675167Cross-lingual summarization (CLS), generating summaries in one language from source documents in another language, offers invaluable assistance in enabling global access to information for people worldwide. State-of-the-art neural summarization models ...
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- research-articleAugust 2024
Natural Language Processing System for Text Classification Corpus Based on Machine Learning
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 8Article No.: 123, Pages 1–15https://doi.org/10.1145/3648361A classification system for hazardous materials in air traffic control was investigated using the Human Factors Analysis and Classification System (HFACS) framework and natural language processing to prevent hazardous situations in air traffic control. ...
- research-articleAugust 2024
HindiPersonalityNet: Personality Detection in Hindi Conversational Data Using Deep Learning with Static Embedding
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 8Article No.: 117, Pages 1–13https://doi.org/10.1145/3625228Personality detection along with other behavioral and cognitive assessment can essentially explain why people act the way they do and can be useful to various online applications such as recommender systems, job screening, matchmaking, and counseling. ...
- research-articleJuly 2024
Scoring Multi-hop Question Decomposition Using Masked Language Models
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 7Article No.: 107, Pages 1–21https://doi.org/10.1145/3665140Question answering (QA) is a sub-field of Natural Language Processing (NLP) that focuses on developing systems capable of answering natural language queries. Within this domain, multi-hop question answering represents an advanced QA task that requires ...
- research-articleJuly 2024JUST ACCEPTED
Low Resource Summarization using Pre-trained Language Models
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3675780With the advent of Deep Learning based Artificial Neural Networks 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 ...
- research-articleJune 2024
Research on Product Advertising Design Combining Feature Extraction Technology and Web3D Technology
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 6Article No.: 90, Pages 1–13https://doi.org/10.1145/3608948This work, built on the Unity3D development platform, presents a way for merging feature extraction technology and Web3D technology into advertising design to effectively address the issues of poor efficiency and distortion in the field. Using the ...
- research-articleJune 2024
Sentiment Analysis and Corpus: Cognitive Perspective and Overhead-accuracy Tradeoff
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 6Article No.: 84, Pages 1–17https://doi.org/10.1145/3594537Human logical thinking is in the form of natural language. With the development of computer science techniques, it becomes easier and more convenient for natural language processing. Therefore, various natural language processing applications have ...
- research-articleMay 2024JUST ACCEPTED
CHUNAV: Analyzing Hindi Hate Speech and Targeted Groups in Indian Election Discourse
- Farhan Ahmad Jafri,
- Kritesh Rauniyar,
- Surendrabikram Thapa,
- Mohammad Aman Siddiqui,
- Matloob Khushi,
- Usman Naseem
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3665245In the ever-evolving landscape of online discourse and political dialogue, the rise of hate speech poses a significant challenge to maintaining a respectful and inclusive digital environment. The context becomes particularly complex when considering the ...
- research-articleMay 2024
Automatically Temporal Labeled Data Generation Using Positional Lexicon Expansion for Focus Time Estimation of News Articles
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 5Article No.: 64, Pages 1–20https://doi.org/10.1145/3568164Many facts change over time, which is a fundamental aspect of our physical environment. In the case of pandemic articles, the user is not interested in the creation date of the document but in the facts and the cause of the last pandemic. Fake news can be ...
- research-articleApril 2024
Boundary-Aware Abstractive Summarization with Entity-Augmented Attention for Enhancing Faithfulness
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 4Article No.: 53, Pages 1–18https://doi.org/10.1145/3641278With the successful application of deep learning, document summarization systems can produce more readable results. However, abstractive summarization still suffers from unfaithful outputs and factual errors, especially in named entities. Current ...
- research-articleApril 2024JUST ACCEPTED
Automatic Extractive Text Summarization using Multiple Linguistic Features
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3656471Automatic text summarization (ATS) provides a summary of distinct categories of information using natural language processing (NLP). Low-resource languages like Hindi have restricted applications of these techniques. This study proposes a method for ...
- research-articleMarch 2024
SCT: Summary Caption Technique for Retrieving Relevant Images in Alignment with Multimodal Abstractive Summary
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 3Article No.: 43, Pages 1–22https://doi.org/10.1145/3645029This work proposes an efficient Summary Caption Technique that considers the multimodal summary and image captions as input to retrieve the correspondence images from the captions that are highly influential to the multimodal summary. Matching a ...
- research-articleMarch 2024
PAMR: Persian Abstract Meaning Representation Corpus
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 3Article No.: 35, Pages 1–20https://doi.org/10.1145/3638288One of the most used and well-known semantic representation models is Abstract Meaning Representation (AMR). This representation has had numerous applications in natural language processing tasks in recent years. Currently, for English and Chinese ...
- research-articleMarch 2024JUST ACCEPTED
Opinion Mining on Social Media Text Using Optimized Deep Belief Networks
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Just Accepted https://doi.org/10.1145/3649502In the digital world, most people spend their leisure and precious time on social media networks such as Facebook, Twitter. Instagram, and so on. Moreover, users post their views of products, services, political parties on their social sites. This ...
- research-articleFebruary 2024
Deep Learning-based POS Tagger and Chunker for Odia Language Using Pre-trained Transformers
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 2Article No.: 19, Pages 1–23https://doi.org/10.1145/3637877Developing effective natural language processing (NLP) tools for low-resourced languages poses significant challenges. This article centers its attention on the task of Part-of-speech (POS) tagging and chunking, which pertains to the identification and ...
- research-articleFebruary 2024
A Relation Embedding Assistance Networks for Multi-hop Question Answering
ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP), Volume 23, Issue 2Article No.: 26, Pages 1–17https://doi.org/10.1145/3635114Multi-hop Knowledge Graph Question Answering aims at finding an entity to answer natural language questions from knowledge graphs. When humans perform multi-hop reasoning, people tend to focus on specific relations across different hops and confirm the ...