Comparison of text preprocessing methods
CP Chai - Natural Language Engineering, 2023 - cambridge.org
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
Question Answering System using NLP and BERT
This project proposes a simple and smart question answering system using Named Entity
Recognition (NER) and Bidirectional Encoder Representations from Transformers (BERT) …
Recognition (NER) and Bidirectional Encoder Representations from Transformers (BERT) …
Automate traditional interviewing process using natural language processing and machine learning
P Senarathne, M Silva, A Methmini… - … for Convergence in …, 2021 - ieeexplore.ieee.org
Nowadays, almost everything is equipped with technology. People can save time by using
modern day technological applications in the most convenient way. Smart Interviewing …
modern day technological applications in the most convenient way. Smart Interviewing …
Organizing contextual knowledge for arabic text disambiguation and terminology extraction
Ontologies have an important role in knowledge organization and information retrieval.
Domain ontologies are composed of concepts represented by domain relevant terms …
Domain ontologies are composed of concepts represented by domain relevant terms …
Question generation for French: collating parsers and paraphrasing questions
This article describes a question generation system for French. The transformation of
declarative sentences into questions relies on two different syntactic parsers and named …
declarative sentences into questions relies on two different syntactic parsers and named …
A study on different closed domain question answering approaches
Question answering (QA) framework is a framework that gives answers to the inquiries
raised by the client using the common language. The framework recovers minor portion of …
raised by the client using the common language. The framework recovers minor portion of …
Towards improving the performance of chat oriented dialogue system
This paper is concerned with how to improve the overall performance of chat-oriented
dialogue system. This research is motivated by the fact that majority of current chat engines …
dialogue system. This research is motivated by the fact that majority of current chat engines …
[PDF][PDF] Automatic annotation approach of events in news articles
A Elkhlifi, R Faiz - International Journal of Computing & Information …, 2009 - Citeseer
Daily, several news agencies publish thousands of articles concerning many events of all
types (political, economic, cultural, etc.). The decision-makers find themselves in front of a …
types (political, economic, cultural, etc.). The decision-makers find themselves in front of a …
VAGen: waterbody segmentation with prompting for visual in-context learning
Effective water management and flood prevention are critical challenges encountered by
both urban and rural areas, necessitating precise and prompt monitoring of waterbodies. As …
both urban and rural areas, necessitating precise and prompt monitoring of waterbodies. As …
[PDF][PDF] Ritel: an open-domain, human-computer dialog system.
The project RITEL aims at integrating a spoken language dialog system and an open-
domain question answering system to allow a human to ask general questions (“Who is …
domain question answering system to allow a human to ask general questions (“Who is …