Parts-of-speech tagging of Nepali texts with Bidirectional LSTM, Conditional Random Fields and HMM

A Pradhan, A Yajnik - Multimedia Tools and Applications, 2024 - Springer
Abstract Parts-of-Speech (POS) Tagging is one of the fundamental and pre-processing steps
for Natural Language Processing (NLP) tasks such as Text Summarization, Name Entity …

Emotion recognition for vietnamese social media text

VA Ho, DHC Nguyen, DH Nguyen, LTV Pham… - … Conference of the …, 2020 - Springer
Emotion recognition or emotion prediction is a higher approach or a special case of
sentiment analysis. In this task, the result is not produced in terms of either polarity: positive …

New vietnamese corpus for machine reading comprehension of health news articles

K Van Nguyen, T Van Huynh, DV Nguyen… - Transactions on Asian …, 2022 - dl.acm.org
Machine reading comprehension is a natural language understanding task where the
computing system is required to read a text and then find the answer to a specific question …

[HTML][HTML] The modern Greek language on the social web: A survey of data sets and mining applications

MN Nikiforos, Y Voutos, A Drougani, P Mylonas… - Data, 2021 - mdpi.com
Mining social web text has been at the heart of the Natural Language Processing and Data
Mining research community in the last 15 years. Though most of the reported work is on …

A method for assisting the accident consequence prediction and cause investigation in petrochemical industries based on natural language processing technology

F Wang, W Gu, Y Bai, J Bian - Journal of Loss Prevention in the Process …, 2023 - Elsevier
Risk analysis for production processes in the petrochemical industry is an important
procedure for consequence prediction and investigation of accidents. The analyzer must …

Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension

K Van Nguyen, KV Tran, ST Luu, AGT Nguyen… - IEEE …, 2020 - ieeexplore.ieee.org
Although Vietnamese is the 17 th most popular native-speaker language in the world, there
are not many research studies on Vietnamese machine reading comprehension (MRC), the …

Neural text normalization in speech-to-text systems with rich features

OT Tran, VT Bui - Applied Artificial Intelligence, 2021 - Taylor & Francis
This paper presents the task of normalizing Vietnamese transcribed texts in Speech-to-Text
(STT) systems. The main purpose is to develop a text normalizer that automatically converts …

Improving code-mixed POS tagging using code-mixed embeddings

SN Bhattu, SK Nunna, DVLN Somayajulu… - ACM Transactions on …, 2020 - dl.acm.org
Social media data has become invaluable component of business analytics. A multitude of
nuances of social media text make the job of conventional text analytical tools difficult. Code …

Integrating topic, sentiment, and syntax for modeling online reviews: a topic model approach

M Tang, J Jin, Y Liu, C Li… - … of Computing and …, 2019 - asmedigitalcollection.asme.org
Analyzing product online reviews has drawn much interest in the academic field. In this
research, a new probabilistic topic model, called tag sentiment aspect models (TSA), is …

Deep neural networks algorithm for Vietnamese word segmentation

K Zheng, W Zheng - Scientific Programming, 2022 - Wiley Online Library
Traditional Vietnamese word segmentation methods do not perform well in the face of
Vietnamese ambiguity, in response to the enormous challenge posed by the scarcity of the …