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Found 24 papers, 1 papers with code
BRCC and SentiBahasaRojak: The First Bahasa Rojak Corpus for Pretraining and Sentiment Analysis Dataset
Finally, to test the effectiveness of the Mixed XLM model pre-trained on BRCC for social media scenarios where code-mixing is found frequently, we compile a new Bahasa Rojak sentiment analysis dataset, SentiBahasaRojak, with a Kappa value of 0. 77.
Verdict Inference with Claim and Retrieved Elements Using RoBERTa
Automatic fact verification has attracted recent research attention as the increasing dissemination of disinformation on social media platforms.
Enhancing Hokkien Dual Translation by Exploring and Standardizing of Four Writing Systems
We employ a pre-trained LLaMA2-7B model specialized in Traditional Mandarin Chinese to leverage the orthographic similarities between Taiwanese Hokkien Han and Traditional Mandarin Chinese.
SMUTF: Schema Matching Using Generative Tags and Hybrid Features
Recognizing the lack of extensive, publicly available datasets for SM, we have created and open-sourced the HDXSM dataset from the public humanitarian data.
Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages
By simply adding the chat vector to a continual pre-trained model's weights, we can endow the model with chat capabilities in new languages without the need for further training.
Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills
This paper probes the performance of ChatGPT, a sophisticated language model by OpenAI in tackling such complex reasoning tasks, using chess as a case study.
Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien
In natural language processing (NLP), code-mixing (CM) is a challenging task, especially when the mixed languages include dialects.
EPG2S: Speech Generation and Speech Enhancement based on Electropalatography and Audio Signals using Multimodal Learning
Further, the addition of noisy speech signals is observed to improve quality and intelligibility.
Revised JNLPBA Corpus: A Revised Version of Biomedical NER Corpus for Relation Extraction Task
Moreover, the cross-validation test is carried out which we train the NER systems on JNLPBA/Revised JNLPBA corpora and access the performance in both protein-protein interaction extraction (PPIE) and biomedical event extraction (BEE) corpora to confirm that the newly refined Revised JNLPBA is a competent NER corpus in biomedical relation application.
Cross-language Article Linking Using Cross-Encyclopedia Entity Embedding
Cross-language article linking (CLAL) is the task of finding corresponding article pairs of different languages across encyclopedias.
Encyclolink: A Cross-Encyclopedia,Cross-language Article-Linking System and Web-based Search Interface
Cross-language article linking (CLAL) is the task of finding corresponding article pairs across encyclopedias of different languages.
Enhancing Drug-Drug Interaction Classification with Corpus-level Feature and Classifier Ensemble
In this paper, we presented a study that focuses on the DDI classification.
A Telecom-Domain Online Customer Service Assistant Based on Question Answering with Word Embedding and Intent Classification
In the paper, we propose an information retrieval based (IR-based) Question Answering (QA) system to assist online customer service staffs respond users in the telecom domain.
Textual Analysis for Studying Chinese Historical Documents and Literary Novels
To showcase the potentials and challenges of computer-assisted analysis of Chinese literatures, we explored some interesting yet non-trivial questions about two of the Four Great Classical Novels of China: (1) Which monsters attempted to consume the Buddhist monk Xuanzang in the Journey to the West (JTTW), which was published in the 16th century, (2) Which was the most powerful monster in JTTW, and (3) Which major role smiled the most in the Dream of the Red Chamber, which was published in the 18th century.
