id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:85102631442 | A Comparative Study of Deep Neural Network Models on Multi-Label Text Classification in Finance | Multi-Label Text Classification (MLTC) is a well-known NLP task that allows the classification of texts into multiple categories indicating their most relevant domains. However, training model tasks on texts from web user deal with redundancy or ambiguity of linguistic information. In this work, we propose a comparativ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85100669951 | A Comparative Study of Dictionary-based and Machine Learning-based Named Entity Recognition in Pashto | Information Extraction (IE) is the process of extracting structured information from unstructured text using natural language processing (NLP). One important sub-task of IE is the extraction of names of persons, places, and organizations, called Named Entity Recognition (NER). NER plays an important role in many NLP ap... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85115444224 | A Comparative Study of Different Models in Ancient Poetry Translation | Ancient poetry is an important part of Chinese culture. There have been projects like Jiuge to combine ancient poetry with deep learning. The language of ancient poetry is often refined, and it needs rich imagination to understand its meaning. As a result, it is difficult to automatically implement the translation. Thi... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
SCOPUS_ID:85142535193 | A Comparative Study of Different Sentiment Analysis Classifiers for Cybercrime Detection on Social Media Platforms | In the current scenario, social media has made it very easy to access and exploit the different types of data from various social media platforms, which are freely available to everyone to share their opinions openly. With this open access, the privacy and security of all social media users is a cause of concern and ma... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85125012158 | A Comparative Study of Different Text Classification Approaches for Bangla News Classification | At present, we have seen everything is getting digitized where technology almost takes full control over our life. As a result, a massive number of textual documents are generated on online platforms and news articles are no exception. People prefer to get connected with online news portals as they are updated every si... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85118902266 | A Comparative Study of Educational Texts for Native, Foreign, and Bilingual Young Speakers of Russian: Are Simplified Texts Equally Simple? | Studies on simple language and simplification are often based on datasets of texts, either for children or learners of a second language. In both cases, these texts represent an example of simple language, but simplification likely involves different strategies. As such, this data may not be entirely homogeneous in ter... | [
"Paraphrasing",
"Information Extraction & Text Mining",
"Text Classification",
"Text Generation",
"Information Retrieval",
"Multilinguality"
] | [
32,
3,
36,
47,
24,
0
] |
https://aclanthology.org//W19-6714/ | A Comparative Study of English-Chinese Translations of Court Texts by Machine and Human Translators and the Word2Vec Based Similarity Measure’s Ability To Gauge Human Evaluation Biases | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
SCOPUS_ID:85105432234 | A Comparative Study of Ensemble Approaches to Fact-Checking for the FEVER Shared Task | The surge of information globally motivates for automated rumour detection. We use Fact-checking to detect rumours of the type misinformation. The FEVER-shared task is the Fact-checking task used for this comparative study. The task is divided into Document Retrieval, Sentence Selection, and Claim Verification componen... | [
"Language Models",
"Document Retrieval",
"Semantic Text Processing",
"Ethical NLP",
"Reasoning",
"Fact & Claim Verification",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
52,
56,
72,
17,
8,
46,
24,
4
] |
SCOPUS_ID:85145471329 | A Comparative Study of Ensemble Techniques Based on Genetic Programming: A Case Study in Semantic Similarity Assessment | The challenge of assessing semantic similarity between pieces of text through computers has attracted considerable attention from industry and academia. New advances in neural computation have developed very sophisticated concepts, establishing a new state of the art in this respect. In this paper, we go one step furth... | [
"Programming Languages in NLP",
"Semantic Text Processing",
"Semantic Similarity",
"Multimodality"
] | [
55,
72,
53,
74
] |
SCOPUS_ID:85122299998 | A Comparative Study of Extractive and Abstractive Approaches for Automatic Text Summarization on Scientific Texts | Automatic summarization of long documents is a challenging task and it is not well studied. The existing text summarization approaches are developed and tested mainly on relatively short documents such as news, web pages etc. In this paper, we aim to study the performance of some of the existing state of the art text s... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
http://arxiv.org/abs/2204.05514v1 | A Comparative Study of Faithfulness Metrics for Model Interpretability Methods | Interpretation methods to reveal the internal reasoning processes behind machine learning models have attracted increasing attention in recent years. To quantify the extent to which the identified interpretations truly reflect the intrinsic decision-making mechanisms, various faithfulness evaluation metrics have been p... | [
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP"
] | [
81,
4
] |
http://arxiv.org/abs/1902.06242v1 | A Comparative Study of Feature Selection Methods for Dialectal Arabic Sentiment Classification Using Support Vector Machine | Unlike other languages, the Arabic language has a morphological complexity which makes the Arabic sentiment analysis is a challenging task. Moreover, the presence of the dialects in the Arabic texts have made the sentiment analysis task is more challenging, due to the absence of specific rules that govern the writing o... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
http://arxiv.org/abs/2009.11898v1 | A Comparative Study of Feature Types for Age-Based Text Classification | The ability to automatically determine the age audience of a novel provides many opportunities for the development of information retrieval tools. Firstly, developers of book recommendation systems and electronic libraries may be interested in filtering texts by the age of the most likely readers. Further, parents may ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85125791201 | A Comparative Study of Fuzzy Topic Models and LDA in terms of Interpretability | In many domains that employ machine learning models, both high performing and interpretable models are needed. A typical machine learning task is text classification, where models are hardly interpretable. Topic models, used as topic embeddings, carry the potential to better understand the decisions made by text classi... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Information Retrieval",
"Semantic Text Processing",
"Representation Learning",
"Explainability & Interpretability in NLP",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
9,
3,
24,
72,
12,
81,
36,
4
] |
SCOPUS_ID:85131125621 | A Comparative Study of Information Extraction Strategies Using an Attention-Based Neural Network | This article focuses on information extraction in historical handwritten marriage records. Traditional approaches rely on a sequential pipeline of two consecutive tasks: handwriting recognition is applied before named entity recognition. More recently, joint approaches that handle both tasks at the same time have been ... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Named Entity Recognition",
"Responsible & Trustworthy NLP",
"Information Extraction & Text Mining"
] | [
52,
80,
72,
34,
4,
3
] |
SCOPUS_ID:85125251302 | A Comparative Study of Key Themes of Scientific Research Post COVID-19 in the United Arab Emirates and WHO Using Text Mining Approach | Objective: The objective of this paper is to analyze approved areas of medical research related to COVID-19 from the United Arab Emirates (UAE) and World Health Organization (WHO) in order to identify key topics and themes for these two entities. The paper attempts to understand the key focus areas of the government an... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
9,
3,
29
] |
SCOPUS_ID:85102632838 | A Comparative Study of Korean Feature Granularity Based on Hybrid Neural Network | In natural language processing, the selection of the token is a very important step. The original text should segment into some granularity, then subsequent processing and analysis work can be carried out. The influence of select different segmentation granularity on the Korean text classification task is discussed. Du... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2006.00031v1 | A Comparative Study of Lexical Substitution Approaches based on Neural Language Models | Lexical substitution in context is an extremely powerful technology that can be used as a backbone of various NLP applications, such as word sense induction, lexical relation extraction, data augmentation, etc. In this paper, we present a large-scale comparative study of popular neural language and masked language mode... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85104831758 | A Comparative Study of Lexical and Semantic Emoji Suggestion Systems | Emoji suggestion systems based on typed text have been proposed to encourage emoji usage and enrich text messaging; however, such systems’ actual effects on the chat experience are unknown. We built an Android keyboard with both lexical (word-based) and semantic (meaning-based) emoji suggestion capabilities and compare... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85131926442 | A Comparative Study of Machine Learning Based Image Captioning Models | Automated image captioning is a crucial concept for numerous real-world applications as it is useful in robotics, image indexing, self-driving vehicles and greatly helpful for impaired eyesight people. An image provided in real-time can be converted into text using image captioning models developed by machine learning ... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Captioning",
"Text Generation",
"Multimodality"
] | [
20,
52,
72,
39,
47,
74
] |
http://arxiv.org/abs/1402.4380v1 | A Comparative Study of Machine Learning Methods for Verbal Autopsy Text Classification | A Verbal Autopsy is the record of an interview about the circumstances of an uncertified death. In developing countries, if a death occurs away from health facilities, a field-worker interviews a relative of the deceased about the circumstances of the death; this Verbal Autopsy can be reviewed off-site. We report on a ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85060735596 | A Comparative Study of Machine Learning Techniques for Real-time Multi-tier Sentiment Analysis | Nowadays, Big Data, both structured and unstructured data, are generated from Social Media. Social Media are powerful marketing tools and social big data require real-time tracking and analytics because the speed may indeed be the most important competitive business profits. Compared to batch processing of Sentiment An... | [
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
68,
36,
78,
24,
4
] |
SCOPUS_ID:85069215657 | A Comparative Study of Machine Learning and Deep Learning Techniques for Sentiment Analysis | In this day and age an increasing number of people are using online social networks and services to not only connect and communicate but also to voice their opinions. Sentiment Analysis is the identifying and categorizing of these opinions to determine the public' s opinion towards a particular topic, problem, product ... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85116441915 | A Comparative Study of Methods for Visualizable Semantic Embedding of Small Text Corpora | Text embedding has recently emerged as a very useful and successful method for semantic representation. Following initial word-level embedding methods such as Latent Semantic Analysis (LSA) and topic-based bag-of-words approaches like Latent Dirichlet Allocation (LDA), the focus has turned to language models and text e... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] | [
52,
72,
12
] |
http://arxiv.org/abs/2107.02852v2 | A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio | Speaker-attributed automatic speech recognition (SA-ASR) is a task to recognize "who spoke what" from multi-talker recordings. An SA-ASR system usually consists of multiple modules such as speech separation, speaker diarization and ASR. On the other hand, considering the joint optimization, an end-to-end (E2E) SA-ASR m... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
SCOPUS_ID:85113413233 | A Comparative Study of N-gram and Skip-gram for Clinical Concepts Extraction | State-of-the-art technologies for clinical knowledge extraction are essential in a clinical decision support system (CDSS) to make a prediction of a diagnosis. Automatic analysis of a patient's health data is a requirement in such a process. The unstructured part of the data in electronic health records (EHR) is critic... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85132901723 | A Comparative Study of NLP based Semantic Web Standard model using SPARQL database | The work offers evidence of a philosophical idea that many sectors will draw considerable interest. A remote natural language interface (NLI) is the term for the issue of knowledge bases (KBs). The framework uses software from CoreNLP for natural language technology and allows KBs to use the SPARQL query language. Natu... | [
"Knowledge Representation",
"Semantic Text Processing"
] | [
18,
72
] |
SCOPUS_ID:85099594742 | A Comparative Study of Named Entity Recognition on Myanmar Language | This paper represents the development of the Myanmar Named Entity Recognition (NER) system using Conditional Random Fields (CRFs). In order to develop the system, a manually annotated Named Entities (NEs) corpus-collected from Myanmar news websites and Asia Language Treebank(ALT)-Parallel-Corpus has been used. We compa... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85132698296 | A Comparative Study of Natural Language Processing Algorithms Based on Cities Changing Diabetes Vulnerability Data | (1) Background: Poor adherence to management behaviors in Chinese Type 2 diabetes mellitus (T2DM) patients leads to an uncontrolled prognosis of diabetes, which results in significant economic costs for China. It is imperative to quickly locate vulnerability factors in the management behavior of patients with T2DM. (2)... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85061895487 | A Comparative Study of Neural Network Models for Sentence Classification | This paper presents an extensive comparative study of four neural network models, including feed-forward networks, convolutional networks, recurrent networks and long short-term memory networks, on two sentence classification datasets of English and Vietnamese text. We show that on the English dataset, the convolutiona... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85097199816 | A Comparative Study of Opinion Summarization Techniques | In the Web 3.0 platforms, enormous amount of information is shared whereby individuals express their thoughts and opinions and learn from others' experiences. Many e-commerce websites provide service of posting opinionated reviews to allow consumers post their opinions using free text. Examples of these e-commerce webs... | [
"Opinion Mining",
"Structured Data in NLP",
"Summarization",
"Multimodality",
"Text Generation",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
49,
50,
30,
74,
47,
78,
3
] |
SCOPUS_ID:85075045115 | A Comparative Study of Optical Character Recognition in Health Information System | Most Health Institutes are transitioning between documents in physical format and digital format. It is pertinent and important to develop applications that helps health professionals on this transition. An application that would aid the process of digitalization of documents was developed using a Python library. To he... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85087051141 | A Comparative Study of Parametric Versus Non-Parametric Text Classification Algorithms | Evolution of modern technologies allowed to store the text in various digital formats such as e-mails, e-documents, libraries, etc. The amount of text data that is produced daily is increasing dramatically. Discovering useful patterns in text that can be represented in unstructured, semi-structured or structured format... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85060038942 | A Comparative Study of Polarity Lexicons to Identify Extreme Opinions | This paper comparing a method to automatically build a sentiment lexicon, with four well-known sentiment lexicons. For this purpose, an indirect evaluation is carried out. The lexicons are integrated into supervised sentiment classifiers and their performance is evaluated in two sentiment classification tasks in order ... | [
"Text Classification",
"Polarity Analysis",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
33,
78,
24,
3
] |
https://aclanthology.org//2022.repl4nlp-1.6/ | A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition | Pre-trained language models (PLM) are effective components of few-shot named entity recognition (NER) approaches when augmented with continued pre-training on task-specific out-of-domain data or fine-tuning on in-domain data. However, their performance in low-resource scenarios, where such data is not available, remain... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Representation Learning",
"Named Entity Recognition",
"Responsible & Trustworthy NLP"
] | [
80,
52,
72,
3,
12,
34,
4
] |
SCOPUS_ID:85136970139 | A Comparative Study of Pre-trained Word Embeddings for Arabic Sentiment Analysis | In this paper, we conduct a series of experiments to systematically study both context-independent and context-dependent word embeddings for the purpose of Arabic sentiment analysis. We use pretrained word embeddings as fixed features extractors to provide input features for a CNN model. Experimental results with two d... | [
"Representation Learning",
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
12,
52,
72,
78
] |
SCOPUS_ID:85082303429 | A Comparative Study of Pretrained Language Models on Thai Social Text Categorization | The ever-growing volume of data of user-generated content on social media provides a nearly unlimited corpus of unlabeled data even in languages where resources are scarce. In this paper, we demonstrate that state-of-the-art results on two Thai social text categorization tasks can be realized by pretraining a language ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/2211.08170v1 | A Comparative Study of Question Answering over Knowledge Bases | Question answering over knowledge bases (KBQA) has become a popular approach to help users extract information from knowledge bases. Although several systems exist, choosing one suitable for a particular application scenario is difficult. In this article, we provide a comparative study of six representative KBQA system... | [
"Semantic Text Processing",
"Question Answering",
"Natural Language Interfaces",
"Knowledge Representation",
"Multilinguality"
] | [
72,
27,
11,
18,
0
] |
SCOPUS_ID:85123312148 | A Comparative Study of Recent Feature Selection Techniques Used in Text Classification | As we all know, handling large amounts of data is a problem these days. Despite having so many resources to store, train and process the data, still it is required to reduce these datasets in order to reduce computational complexity, save time, cost and retrieve valuable information from large text documents. The prese... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/1801.05420v2 | A Comparative Study of Rule Extraction for Recurrent Neural Networks | Understanding recurrent networks through rule extraction has a long history. This has taken on new interests due to the need for interpreting or verifying neural networks. One basic form for representing stateful rules is deterministic finite automata (DFA). Previous research shows that extracting DFAs from trained sec... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85135745767 | A Comparative Study of Self-Supervised Speech Representation Based Voice Conversion | We present a large-scale comparative study of self-supervised speech representation (S3R)-based voice conversion (VC). In the context of recognition-synthesis VC, S3Rs are attractive owing to their potential to replace expensive supervised representations such as phonetic posteriorgrams (PPGs), which are commonly adopt... | [
"Multilinguality",
"Low-Resource NLP",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Representation Learning",
"Multimodality",
"Cross-Lingual Transfer",
"Responsible & Trustworthy NLP"
] | [
0,
80,
72,
70,
12,
74,
19,
4
] |
SCOPUS_ID:85123752577 | A Comparative Study of Sentiment Analysis Tools | COVID-19 outbreak compelled people to stay at home due to complete lockdown in all the working areas. Immense use of World Wide Web and social media to exchange and share opinions, generated enormous web data to be utilized in the research work of the Natural Language Processing (NLP) field. Being a dominant side of NL... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85124044127 | A Comparative Study of Sentiment Analysis Using NLP and Different Machine Learning Techniques on US Airline Twitter Data | Today's business ecosystem has become very competitive. Customer satisfaction has become a major focus for business growth. Business organizations are spending a lot of money and human resources on various strategies to understand and fulfill their customer's needs. But, because of defective manual analysis on multifar... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85062841415 | A Comparative Study of Sentiment-Based Graphs of Text Summaries | Sentiment included in a sentence can indicate whether a sentence may have positive, negative or neutral polarity. Polarity of the sentences is deemed important in text summarization, especially when summarizing narrative texts. This paper proposes to discover the patterns and sentiment scores of the summaries generated... | [
"Structured Data in NLP",
"Summarization",
"Multimodality",
"Text Generation",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
50,
30,
74,
47,
78,
3
] |
http://arxiv.org/abs/2003.04972v1 | A Comparative Study of Sequence Classification Models for Privacy Policy Coverage Analysis | Privacy policies are legal documents that describe how a website will collect, use, and distribute a user's data. Unfortunately, such documents are often overly complicated and filled with legal jargon; making it difficult for users to fully grasp what exactly is being collected and why. Our solution to this problem is... | [
"Text Classification",
"Ethical NLP",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
17,
4,
24,
3
] |
SCOPUS_ID:85141202766 | A Comparative Study of Short Text Classification with Spiking Neural Networks | Short text classification is an important task widely used in many applications. However, few works investigated applying Spiking Neural Networks (SNNs) for text classification. To the best of our knowledge, there were no attempts to apply SNNs as classifiers of short texts. In this paper, we offer a comparative study ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85065740702 | A Comparative Study of Supervised and Unsupervised Classifiers Utilizing Extractive Text Summarization Techniques to Support Automated Customer Query Question-Answering | Customer service majorly involves a one-way kind of communication where the organization usually controls the point of interaction through either a call center, helpdesk email address, or even a postal address. The challenges faced by this model are 1) response time (time it takes a customer to get a response about an ... | [
"Low-Resource NLP",
"Text Classification",
"Question Answering",
"Summarization",
"Natural Language Interfaces",
"Text Generation",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
80,
36,
27,
30,
11,
47,
4,
24,
3
] |
SCOPUS_ID:85137780551 | A Comparative Study of Supervised and Unsupervised Machine Learning Algorithms on Consumer Reviews | For any organization involving consumers, reviews and feedbacks are quite important. For this purpose, the bulk of data is generated from various social networking sites in terms of reviews and feedbacks. In order to understand consumer's perception about an item, this research scrutinizes various supervised and unsupe... | [
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Text Classification",
"Text Clustering",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
80,
3,
36,
29,
24,
4
] |
SCOPUS_ID:85084984934 | A Comparative Study of Support Vector Machine and Naive Bayes Classifier for Sentiment Analysis on Amazon Product Reviews | This paper represents a comparison between two machine learning approaches for analyzing the sentiment of the customers' reviews on Amazon products. Eventually, reviews of a product help the customers to understand the product quality. Incorporating multiple product review factors, including product quality, content, t... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
http://arxiv.org/abs/2110.03142v1 | A Comparative Study of Transformer-Based Language Models on Extractive Question Answering | Question Answering (QA) is a task in natural language processing that has seen considerable growth after the advent of transformers. There has been a surge in QA datasets that have been proposed to challenge natural language processing models to improve human and existing model performance. Many pre-trained language mo... | [
"Language Models",
"Semantic Text Processing",
"Question Answering",
"Natural Language Interfaces",
"Information Extraction & Text Mining"
] | [
52,
72,
27,
11,
3
] |
http://arxiv.org/abs/2111.15417v1 | A Comparative Study of Transformers on Word Sense Disambiguation | Recent years of research in Natural Language Processing (NLP) have witnessed dramatic growth in training large models for generating context-aware language representations. In this regard, numerous NLP systems have leveraged the power of neural network-based architectures to incorporate sense information in embeddings,... | [
"Language Models",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Representation Learning"
] | [
52,
72,
65,
12
] |
SCOPUS_ID:85077127495 | A Comparative Study of Using Bag-of-Words and Word-Embedding Attributes in the Spoiler Classification of English and Thai Text | This research compares the effectiveness of using traditional bag-of-words and word-embedding attributes to classify movie comments into spoiler or non-spoiler. Both approaches were applied to comments in English, an inflectional language; and in Thai, a non-inflectional language. Experimental results suggested that in... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85107689427 | A Comparative Study of Using Pre-Trained Language Models for Toxic Comment Classification | As user-generated contents thrive, so does the spread of toxic comment. Therefore, detecting toxic comment becomes an active research area, and it is often handled as a text classification task. As recent popular methods for text classification tasks, pre-Trained language model-based methods are at the forefront of nat... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/1703.00993v1 | A Comparative Study of Word Embeddings for Reading Comprehension | The focus of past machine learning research for Reading Comprehension tasks has been primarily on the design of novel deep learning architectures. Here we show that seemingly minor choices made on (1) the use of pre-trained word embeddings, and (2) the representation of out-of-vocabulary tokens at test time, can turn o... | [
"Machine Reading Comprehension",
"Reasoning",
"Semantic Text Processing",
"Representation Learning"
] | [
37,
8,
72,
12
] |
SCOPUS_ID:85115879697 | A Comparative Study of Word Embeddings for the Construction of a Social Media Expert Filter | With the proliferation of fake news and misinformation on social media, being able to differentiate a reliable source of information has become increasingly important. In this paper we present a new algorithm for filtering expert users in social networks according to a certain topic under study. For the algorithm fine-... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
http://arxiv.org/abs/cmp-lg/9705012v1 | A Comparative Study of the Application of Different Learning Techniques to Natural Language Interfaces | In this paper we present first results from a comparative study. Its aim is to test the feasibility of different inductive learning techniques to perform the automatic acquisition of linguistic knowledge within a natural language database interface. In our interface architecture the machine learning module replaces an ... | [
"Natural Language Interfaces"
] | [
11
] |
SCOPUS_ID:84965441316 | A Comparative Study of the Effects of a Developmentally Based Instructional Model on Young Children with Autism and Young Children with Other Disorders of Behavior and Development | The progress made by two different groups of preschool children, those with autism or related disorders and those with other emotional/behavioral and developmental disorders, in a particular instruction model was examined. The model was developmentally based and heavily influenced by Piaget's theory of cognitive develo... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85087056151 | A Comparative Study of the Performance of Unsupervised Text Segmentation Techniques on Dialogue Transcripts | Contact centers provide customer interaction support to numerous organizations. In 2017, the contact center industry generated 200 billion in revenue worldwide, contributing to a significant proportion of market share, and yet businesses lost 75 billion due to poor customer satisfaction. Around 48% of consumers prefer ... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Syntactic Text Processing",
"Representation Learning",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Text Segmentation",
"Responsible & Trustworthy NLP"
] | [
80,
72,
15,
12,
11,
38,
21,
4
] |
SCOPUS_ID:85143297984 | A Comparative Study of Classification and Clustering Methods from Text of Books | Book collections in libraries are an important means of information, but without proper assignment of books into appropriate categories, searching for books on similar topics is very troublesome for both librarians and readers. This is a difficult problem due to the analysis of large sets of real text data, such as the... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Text Clustering"
] | [
3,
24,
36,
29
] |
SCOPUS_ID:85144415660 | A Comparative Study of Question Answering over Knowledge Bases | Question answering over knowledge bases (KBQA) has become a popular approach to help users extract information from knowledge bases. Although several systems exist, choosing one suitable for a particular application scenario is difficult. In this article, we provide a comparative study of six representative KBQA system... | [
"Semantic Text Processing",
"Question Answering",
"Natural Language Interfaces",
"Knowledge Representation",
"Multilinguality"
] | [
72,
27,
11,
18,
0
] |
SCOPUS_ID:85121934925 | A Comparative Study of Transformers on Word Sense Disambiguation | Recent years of research in Natural Language Processing (NLP) have witnessed dramatic growth in training large models for generating context-aware language representations. In this regard, numerous NLP systems have leveraged the power of neural network-based architectures to incorporate sense information in embeddings,... | [
"Language Models",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Representation Learning"
] | [
52,
72,
65,
12
] |
http://arxiv.org/abs/2208.01355v1 | A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models | The rapid advancement of social networks and the convenience of internet availability have accelerated the rampant spread of false news and rumors on social media sites. Amid the COVID 19 epidemic, this misleading information has aggravated the situation by putting peoples mental and physical lives in danger. To limit ... | [
"Language Models",
"Semantic Text Processing",
"Ethical NLP",
"Reasoning",
"Fact & Claim Verification",
"Responsible & Trustworthy NLP"
] | [
52,
72,
17,
8,
46,
4
] |
http://arxiv.org/abs/2104.07924v1 | A Comparative Study on Collecting High-Quality Implicit Reasonings at a Large-scale | Explicating implicit reasoning (i.e. warrants) in arguments is a long-standing challenge for natural language understanding systems. While recent approaches have focused on explicating warrants via crowdsourcing or expert annotations, the quality of warrants has been questionable due to the extreme complexity and subje... | [
"Reasoning"
] | [
8
] |
SCOPUS_ID:85135226966 | A Comparative Study on Conceptualisations and Linguistic Encodings of Smell Sense in Persian and Russian from Cutural-Cognitive Point of View | This research aims at studying the conceptualizations and linguistic encodings of smell sense in Persian and Russian from Cultural-Cognitive Linguistics point of view, using Sharifian’s (2017) and Kövecses’ (2018) frameworks. Research data have been gathered through the internet from different weblogs and sites, but fo... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
http://arxiv.org/abs/1701.08694v1 | A Comparative Study on Different Types of Approaches to Bengali document Categorization | Document categorization is a technique where the category of a document is determined. In this paper three well-known supervised learning techniques which are Support Vector Machine(SVM), Na\"ive Bayes(NB) and Stochastic Gradient Descent(SGD) compared for Bengali document categorization. Besides classifier, classificat... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/1911.08870v1 | A Comparative Study on End-to-end Speech to Text Translation | Recent advances in deep learning show that end-to-end speech to text translation model is a promising approach to direct the speech translation field. In this work, we provide an overview of different end-to-end architectures, as well as the usage of an auxiliary connectionist temporal classification (CTC) loss for bet... | [
"Machine Translation",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Speech Recognition",
"Multilinguality"
] | [
51,
70,
74,
47,
10,
0
] |
SCOPUS_ID:85097533665 | A Comparative Study on Ethics Guidelines for Artificial Intelligence Across Nations | This study aimed to investigate the commonality and differences among AI research and development (R&D) guidelines across nations. Content analysis was conducted on AI R&D guidelines issued by more economically developed countries because they may guide the trend of AI-based applications in education. Specifically, thi... | [
"Responsible & Trustworthy NLP",
"Ethical NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
4,
17,
24,
3
] |
SCOPUS_ID:85149761252 | A Comparative Study on Improving Word Embeddings Beyond Word2Vec and GloVe | NLP or Natural Language Processing in Machine Learning forms a subarea with linguistic roots that has applications in analyzing and predicting natural language data, namely speech and text. Deep neural networks are used in cutting-edge NLP, and the process includes several steps: data collection, preprocessing, languag... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Representation Learning",
"Responsible & Trustworthy NLP"
] | [
52,
80,
72,
12,
4
] |
SCOPUS_ID:85149434825 | A Comparative Study on Language Models for Dravidian Languages | We train embeddings for four Dravidian languages, a family of languages spoken by the people of South India. The embeddings are trained using the latest deep learning language models, to successfully encode semantic properties of words. We demonstrate the effect of vocabulary size on word similarity and model performan... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] | [
52,
72,
12
] |
SCOPUS_ID:85123758913 | A Comparative Study on Language Models for Task-Oriented Dialogue Systems | The recent development of language models has shown promising results by achieving state-of-the-art performance on various natural language tasks by fine-tuning pre-trained models. In task-oriented dialogue (ToD) systems, language models can be used for end-to-end training without relying on dialogue state tracking to ... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
52,
11,
72,
38
] |
SCOPUS_ID:85137975996 | A Comparative Study on Language Models for the Kannada Language | We train word embeddings for Kannada, a Dravidian language spoken by the people of Karnataka, a southern state in India. The word embeddings are trained using the latest deep learning language models, to successfully encode semantic properties of words. We release our best models on HuggingFace, a popular open source r... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] | [
52,
72,
12
] |
http://arxiv.org/abs/1311.0833v1 | A Comparative Study on Linguistic Feature Selection in Sentiment Polarity Classification | Sentiment polarity classification is perhaps the most widely studied topic. It classifies an opinionated document as expressing a positive or negative opinion. In this paper, using movie review dataset, we perform a comparative study with different single kind linguistic features and the combinations of these features.... | [
"Text Classification",
"Polarity Analysis",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
33,
78,
24,
3
] |
SCOPUS_ID:85133189449 | A Comparative Study on Mapping Experience of Typical Battery Electric Vehicles Based on Big Data Text Mining Technology | Battery electric vehicles (BEV) are the core innovation of low-carbon travel transformation. However, there are still few evaluation studies on the user experience of its users. This paper is based on the text mining of big data natural language processing. Taking the user experience reviews of typical Battery electric... | [
"Information Extraction & Text Mining"
] | [
3
] |
http://arxiv.org/abs/2106.05111v1 | A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition | End-to-end (E2E) modeling is advantageous for automatic speech recognition (ASR) especially for Japanese since word-based tokenization of Japanese is not trivial, and E2E modeling is able to model character sequences directly. This paper focuses on the latest E2E modeling techniques, and investigates their performances... | [
"Green & Sustainable NLP",
"Speech & Audio in NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Speech Recognition",
"Multimodality"
] | [
68,
70,
47,
4,
10,
74
] |
http://arxiv.org/abs/2110.05249v1 | A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation | Non-autoregressive (NAR) models simultaneously generate multiple outputs in a sequence, which significantly reduces the inference speed at the cost of accuracy drop compared to autoregressive baselines. Showing great potential for real-time applications, an increasing number of NAR models have been explored in differen... | [
"Text Generation",
"Speech Recognition",
"Speech & Audio in NLP",
"Multimodality"
] | [
47,
10,
70,
74
] |
http://arxiv.org/abs/1508.03721v1 | A Comparative Study on Regularization Strategies for Embedding-based Neural Networks | This paper aims to compare different regularization strategies to address a common phenomenon, severe overfitting, in embedding-based neural networks for NLP. We chose two widely studied neural models and tasks as our testbed. We tried several frequently applied or newly proposed regularization strategies, including pe... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85116834628 | A Comparative Study on Sentiment Analysis Influencing Word Embedding Using SVM and KNN | Development of sentiment analysis is one of the most active research areas that relates natural language and social networks. In our proposed work, we have done sentiment analysis on an annotated list of positive and negative sentiment words from dataset opinion-lexicon-English. Here to perform our task, we used pretra... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
78,
24,
3
] |
http://arxiv.org/abs/2203.16834v3 | A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings | In this paper, we conduct a comparative study on speaker-attributed automatic speech recognition (SA-ASR) in the multi-party meeting scenario, a topic with increasing attention in meeting rich transcription. Specifically, three approaches are evaluated in this study. The first approach, FD-SOT, consists of a frame-leve... | [
"Text Generation",
"Speech & Audio in NLP",
"Speech Recognition",
"Multimodality"
] | [
47,
70,
10,
74
] |
SCOPUS_ID:85107226908 | A Comparative Study on TF-IDF feature weighting method and its analysis using unstructured dataset | Text Classification is the process of categorizing text into the relevant categories and its algorithms are at the core of many Natural Language Processing (NLP). Term Frequency-Inverse Document Frequency (TF-IDF) and NLP are the most highly used information retrieval methods in text classification. We have investigate... | [
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Text Classification",
"Information Retrieval",
"Multimodality"
] | [
3,
50,
36,
24,
74
] |
http://arxiv.org/abs/2212.09873v1 | A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models | There is growing interest in incorporating eye-tracking data and other implicit measures of human language processing into natural language processing (NLP) pipelines. The data from human language processing contain unique insight into human linguistic understanding that could be exploited by language models. However, ... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
http://arxiv.org/abs/2111.08658v1 | A Comparative Study on Transfer Learning and Distance Metrics in Semantic Clustering over the COVID-19 Tweets | This paper is a comparison study in the context of Topic Detection on COVID-19 data. There are various approaches for Topic Detection, among which the Clustering approach is selected in this paper. Clustering requires distance and calculating distance needs embedding. The aim of this research is to simultaneously study... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning",
"Text Clustering",
"Information Extraction & Text Mining"
] | [
52,
72,
12,
29,
3
] |
SCOPUS_ID:85081603635 | A Comparative Study on Transformer vs RNN in Speech Applications | Sequence-To-sequence models have been widely used in end-To-end speech processing, for example, automatic speech recognition (ASR), speech translation (ST), and text-To-speech (TTS). This paper focuses on an emergent sequence-To-sequence model called Transformer, which achieves state-of-The-Art performance in neural ma... | [
"Multilinguality",
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
0,
52,
51,
72,
70,
47,
10,
74
] |
https://aclanthology.org//W01-1412/ | A Comparative Study on Translation Units for Bilingual Lexicon Extraction | [
"Multilinguality",
"Machine Translation",
"Text Generation",
"Information Extraction & Text Mining"
] | [
0,
51,
47,
3
] | |
SCOPUS_ID:85126547083 | A Comparative Study on Utilization of Semantic Information in Fuzzy Co-clustering | Fuzzy co-clustering is a technique for extracting co-clusters of mutually familiar pairs of objects and items from co-occurrence information among them, and has been utilized in document analysis on document-keyword relations and market analysis on purchase preferences of customers with products. Recently, multi-view d... | [
"Semantic Text Processing",
"Semantic Similarity",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
72,
53,
3,
29
] |
SCOPUS_ID:85136241452 | A Comparative Study on Various Approaches of Sentimental Analysis | On social networking platforms, millions of people express their thoughts in the form of the text and images every day. A tweet or text present on the online social media networking sites is very useful to carry out the sentiments of the users about the products, news etc., but from these briefs and highly unstructured... | [
"Multimodality",
"Structured Data in NLP",
"Sentiment Analysis"
] | [
74,
50,
78
] |
SCOPUS_ID:85135737633 | A Comparative Study on Various Deep Learning Techniques for Arabic NLP Syntactic Tasks on Noisy Data | Natural language processing (NLP) has three basic tasks divided into two levels, lexical, which includes Tokenization task and syntactic level which includes Part Of Speech tasks (POS) and Name Entity Recognition (NER) tasks. Recent research has demonstrated the effectiveness of deep learning in many NLP tasks includin... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
52,
72,
15,
34,
3
] |
SCOPUS_ID:85057768529 | A Comparative Study on Various Deep Learning Techniques for Thai NLP Lexical and Syntactic Tasks on Noisy Data | In Natural Language Processing (NLP), there are three fundamental tasks of NLP which are Tokenization being a part of a lexical level, Part-of-Speech tagging (POS) and Named-Entity-Recognition (NER) being parts of a syntactic level. Recently, there have been many deep learning researches showing their success in many d... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Named Entity Recognition",
"Tagging",
"Text Segmentation",
"Information Extraction & Text Mining"
] | [
52,
72,
15,
34,
63,
21,
3
] |
SCOPUS_ID:85081310385 | A Comparative Study on Various Text Classification Methods | With the exponential growth in the enhancement of modes of information exchange, the spread of text has become not only substantially faster, but also widespread. Due to this, text has become an indispensable part of all kinds of decision-making. Hence, it has become imperative to analyse the methods that can help make... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85098583084 | A Comparative Study on Vectorization and Classification Techniques in Sentiment Analysis to Classify Student-Lecturer Comments | Sentiment analysis is one of the important fields in educational data mining. In this paper, a large dataset, more than 52 000 comments, was used during experiment to develop a state-of-Art classification model. The correlation test was conducted on sentiment analysis results and scale-rated survey results, and the res... | [
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
68,
36,
78,
24,
4
] |
https://aclanthology.org//W16-2212/ | A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing | This work systematically analyzes the smoothing effect of vocabulary reduction for phrase translation models. We extensively compare various word-level vocabularies to show that the performance of smoothing is not significantly affected by the choice of vocabulary. This result provides empirical evidence that the stand... | [
"Machine Translation",
"Structured Data in NLP",
"Multimodality",
"Text Generation",
"Multilinguality"
] | [
51,
50,
74,
47,
0
] |
SCOPUS_ID:85100668894 | A Comparative Study on Word Embeddings in Deep Learning for Text Classification | Word embeddings act as an important component of deep models for providing input features in downstream language tasks, such as sequence labelling and text classification. In the last decade, a substantial number of word embedding methods have been proposed for this purpose, mainly falling into the categories of classi... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
12,
24,
3
] |
SCOPUS_ID:85143738724 | A Comparative Study on the Application of Text Mining in Cybersecurity | Aims: This paper aims to conduct a Systematic Literature Review (SLR) of the relative applications of text mining in cybersecurity. Objectives: The amount of data generated worldwide has been attributed to a change in different activities associated with cyber security, and demands a high automation level. Methods: In ... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85105115866 | A Comparative Study on the Perception Performance of Handwriting in Korean and English Using Machine Learning | Currently, letters are used mainly for computers and mobile devices, but in some areas, hand-written documents are used. In addition, records written manually before computers and mobile devices are not digitized and stored in the archives. In this paper, we tried to explore the factors necessary for the development of... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85107353465 | A Comparative Study on the Performance of Deep Learning Algorithms for Detecting the Sentiments Expressed in Modern Slangs | Sentiment analysis is a text investigation technique that distinguishes extremity inside the text, regardless of whether an entire document, sentence, etc. Understanding individuals’ feelings are fundamental for organizations since customers can communicate their considerations and emotions more transparently than any ... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
SCOPUS_ID:85126711205 | A Comparative Study on the Quality of English-Chinese Machine Translation in the Era of Artificial Intelligence | By combing the status quo of the research on the quality of machine translation, this paper evaluates the translation quality under the guidance of the traditional translation standards of faithfulness, expressiveness and elegance. It makes a qualitative and quantitative analysis of the current mainstream online machin... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85149168878 | A Comparative Survey of Multimodal Multilabel Sentiment Analysis and Its Applications Initiated Due to the Impact of COVID-19 | This study presents a detailed survey of different works related to sentiment analysis. The COVID-19 pandemic and its impact on people's mental health act as the driving force behind this survey. The survey can help study sentiment analysis and approaches taken in many studies to detect human emotions via advanced tech... | [
"Multimodality",
"Ethical NLP",
"Sentiment Analysis",
"Emotion Analysis",
"Responsible & Trustworthy NLP"
] | [
74,
17,
78,
61,
4
] |
http://arxiv.org/abs/1906.08990v1 | A Comparative Survey of Recent Natural Language Interfaces for Databases | Over the last few years natural language interfaces (NLI) for databases have gained significant traction both in academia and industry. These systems use very different approaches as described in recent survey papers. However, these systems have not been systematically compared against a set of benchmark questions in o... | [
"Natural Language Interfaces"
] | [
11
] |
SCOPUS_ID:85146498174 | A Comparative Survey on Parts of Speech Taggers for the Marathi Language | Natural Language Processing relies heavily on the POS tagger. The POS tagger is a useful tool for tagging each word in a phrase with parts of speech tags. NLP Applications performing various tasks use POS tagging as a crucial initial step. In terms of data tagging, the POS tagger for English is widely available, howeve... | [
"Tagging",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality"
] | [
63,
70,
15,
74
] |
SCOPUS_ID:85130976758 | A Comparative Text Classification Study with Deep Learning-Based Algorithms | As a well-known Natural Language Processing (NLP) task, text classification can be defined as the process of categorizing documents depending on their content. In this process, selecting classification algorithms and tuning classification parameters are crucial for efficient classification. In recent years, many deep l... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:70450177411 | A Comparative Web Browser (CWB) for browsing and comparing web pages | In this paper, we propose a new type of Web browser, called the Comparative Web Browser(CWB), which concurrently presents multiple Web pages in a way that enables the content of the Web pages to be automatically synchronized. The ability to view multiple Web pages at one time is useful when we wish to make a comparison... | [
"Passage Retrieval",
"Information Retrieval"
] | [
66,
24
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.