id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
https://aclanthology.org//W07-0606/ | A Cognitive Model for the Representation and Acquisition of Verb Selectional Preferences | [
"Cognitive Modeling",
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Representation Learning"
] | [
2,
72,
48,
12
] | |
SCOPUS_ID:84988239801 | A Cognitive Query Model for Arabic based on probabilistic associative morpho-phonetic Sub-Networks | This paper is discussing some novel aspects related to formalizing a Cognitive Query Model for Arabic based on constructing query associative morpho-phonetic Sub-Networks in the context of Arabic query analysis and expansion. As Humans tend to use limited number of words with possibly incomplete and ambiguous represent... | [
"Language Models",
"Cognitive Modeling",
"Semantic Text Processing",
"Syntactic Text Processing",
"Linguistics & Cognitive NLP",
"Phonetics"
] | [
52,
2,
72,
15,
48,
64
] |
http://arxiv.org/abs/2105.07144v3 | A Cognitive Regularizer for Language Modeling | The uniform information density (UID) hypothesis, which posits that speakers behaving optimally tend to distribute information uniformly across a linguistic signal, has gained traction in psycholinguistics as an explanation for certain syntactic, morphological, and prosodic choices. In this work, we explore whether the... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85147730994 | A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers | Reasoning answers to mathematical problems requires machines to think and operate like a human to learn knowledge from mathematical data, which is one of the fundamental tasks for exploring general artificial intelligence. Most solutions focus on mimicking how humans understand problems, which generate the necessary ex... | [
"Reasoning",
"Numerical Reasoning",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
8,
5,
48,
57
] |
http://arxiv.org/abs/2207.11716v1 | A Cognitive Study on Semantic Similarity Analysis of Large Corpora: A Transformer-based Approach | Semantic similarity analysis and modeling is a fundamentally acclaimed task in many pioneering applications of natural language processing today. Owing to the sensation of sequential pattern recognition, many neural networks like RNNs and LSTMs have achieved satisfactory results in semantic similarity modeling. However... | [
"Language Models",
"Semantic Text Processing",
"Semantic Similarity"
] | [
52,
72,
53
] |
SCOPUS_ID:84873853655 | A Cognitive linguistics view of terminology and specialized language | This book explores the importance of Cognitive Linguistics for specialized language within the context of Frame-based Terminology (FBT). FBT uses aspects of Frame Semantics, coupled with premises from Cognitive Linguistics to structure specialized domains and create non-language-specific knowledge representations. Corp... | [
"Cognitive Modeling",
"Semantic Text Processing",
"Explainability & Interpretability in NLP",
"Knowledge Representation",
"Linguistics & Cognitive NLP",
"Responsible & Trustworthy NLP"
] | [
2,
72,
81,
18,
48,
4
] |
SCOPUS_ID:85038405997 | A Cognitive, Usage-Based View on Lexical Pragmatics: Response to Hall | In her chapter on lexical pragmatics, Alison Hall aims at resolving the problem of contextual modulation of word meaning, where the latter is often seen as highly schematic and invariant across contexts. She suggests a model that preserves the schematic meaning yet allows for stored contextualised conceptual clusters. ... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
71,
72,
48,
57
] |
SCOPUS_ID:85079794574 | A Cognitive-Semiotic Construal of Metaphor in Discourse A corpus-based approach | Cognitive semiotics is a new field for the study of meaning in trans-disciplines, such as semiotics, cognitive linguistics, and corpus linguistics. This paper aims at studying how cognitive semiotics is employed to construe conceptual metaphors in discourse. We conducted a corpus-based study, with Lakoff and Johnson's ... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
71,
72,
48,
57
] |
SCOPUS_ID:85068310394 | A Coherence Model for Sentence Ordering | Text generation applications such as machine translation and automatic summarization require an additional post-processing step to enhance readability and coherence of output texts. In this work, we identify a set of coherence features from different levels of discourse analysis. Features have either positive or negati... | [
"Summarization",
"Reasoning",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
8,
47,
3
] |
SCOPUS_ID:85131162666 | A Coherent Approach to Analyze Sentiment of Cryptocurrency | In this paper, we have tried to analyze the real-time Twitter data of some popular cryptocurrencies, like Bitcoin. Bitcoin has been by far the largest cryptocurrency in terms of market size. Its market capitalization currently sits at over 1 Trillion US dollars. Even though it has gained popularity during this decade, ... | [
"Sentiment Analysis"
] | [
78
] |
http://arxiv.org/abs/2301.08130v2 | A Cohesive Distillation Architecture for Neural Language Models | A recent trend in Natural Language Processing is the exponential growth in Language Model (LM) size, which prevents research groups without a necessary hardware infrastructure from participating in the development process. This study investigates methods for Knowledge Distillation (KD) to provide efficient alternatives... | [
"Language Models",
"Responsible & Trustworthy NLP",
"Semantic Text Processing",
"Green & Sustainable NLP"
] | [
52,
4,
72,
68
] |
SCOPUS_ID:85107791309 | A Collaboration Multi-Domain Sentiment Classification on Specific Domain and Global Features | Sentiment classification has been attracting increasing attention with the growth of textual data created on the Internet. Text review data covers a wide range of field, and sentiment classification has been widely known as a highly domain-dependent problem. Unfortunately, the existing methods have achieved good result... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85110904742 | A Collaborative AI-Enabled Pretrained Language Model for AIoT Domain Question Answering | Large-scale knowledge in the artificial intelligence of things (AIoT) field urgently needs effective models to understand human language and automatically answer questions. Pretrained language models achieve state-of-the-art performance on some question answering (QA) datasets, but few models can answer questions on AI... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Question Answering"
] | [
52,
11,
72,
27
] |
SCOPUS_ID:85141165752 | A Collaborative Approach to Support Medication Management in Older Adults with Mild Cognitive Impairment Using Conversational Assistants (CAs) | Improving medication management for older adults with Mild Cognitive Impairment (MCI) requires designing systems that support functional independence and provide compensatory strategies as their abilities change. Traditional medication management interventions emphasize forming new habits alongside the traditional path... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85083071248 | A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums | Medical data in online groups and social media contain valuable information, which is provided by both healthcare professionals and patients. In fact, patients can talk freely and share their personal experiences. These resources are a valuable opportunity for health professionals who can access patients’ opinions, as ... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85122576192 | A Collaborative Optimization-Guided Entity Extraction Scheme | Entity extraction as one of the most basic tasks in achieving information extraction and retrieval, has always been an important research area in natural language processing. Considering that most of the traditional entity extraction methods need to manually adjust their hyperparameters, it takes a lot of time and is e... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:79961214576 | A Collision Theory inspired model for categorization of Wikipedia documents | Research in Information Retrieval has been inspired by various models in mathematics and physics. This paper presents a novel approach for text categorization of semi-structured Wikipedia documents by using the principles in Collision Theory. Profiles are created by analyzing the distribution of features within differe... | [
"Linguistic Theories",
"Text Classification",
"Linguistics & Cognitive NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
57,
36,
48,
24,
3
] |
SCOPUS_ID:85081950265 | A Combination Part of Speech Tagger using Selected Voting Methods | The development of resources in any language is an expensive process, many languages, including the indigenous languages of South Africa, can be classified as being resource scarce, or lacking in tagging resources. This study investigates and applies techniques and methodologies for optimising the use of available reso... | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] |
SCOPUS_ID:85086034781 | A Combination of DWT CLAHE and Wiener Filter for Effective Scene to Text Conversion and Pronunciation | An effective scene to text conversion and its pronunciation is realized. An intelligent combination of Discrete Wavelet Transform (DWT), Contrast Limited Adaptive Histogram Equalization (CLAHE), Wiener filter and adaptive weighted average is utilized for the image enhancement. Subsequently, the Maximally Stable Extrema... | [
"Visual Data in NLP",
"Speech & Audio in NLP",
"Multimodality"
] | [
20,
70,
74
] |
SCOPUS_ID:85118314026 | A Combination of Enhanced WordNet and BERT for Semantic Textual Similarity | The task of measuring sentence similarity deals with computing the likeness between a pair of sentences by adopting Natural Language Processing techniques (Euclidean distance, Jaccard distance, Manhattan distance, etc.) as well as embedding techniques (word2vec, GloVe, Flair, etc.). For the purpose of determining sente... | [
"Language Models",
"Semantic Text Processing",
"Semantic Similarity",
"Representation Learning"
] | [
52,
72,
53,
12
] |
SCOPUS_ID:85090577985 | A Combination of Frequent Pattern Mining and Graph Traversal Approaches for Aspect Elicitation in Customer Reviews | Due to the remarkable increase in e-commerce transactions, people try to have an appropriate choice of purchase through considering other people's reflected experience in product's or service's reviews. Automatic analysis of such corpus requires enhanced developed algorithms based on natural language processing and opi... | [
"Opinion Mining",
"Multimodality",
"Structured Data in NLP",
"Sentiment Analysis"
] | [
49,
74,
50,
78
] |
SCOPUS_ID:85102892366 | A Combination of Lexicon-Based and Classified-Based methods for Sentiment Classification based on Bert | Sentiment classification is a crucial problem in natural language processing and is essential to understand user opinions. There are two main approaches to solve this problem, one is the classified-based method, the other is the lexicon-based method; however, both methods perform not well on the long-sequence methods, ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
78,
24,
3
] |
SCOPUS_ID:85089201508 | A Combination of Machine Learning and Lexicon Based Techniques for Sentiment Analysis | Today millions of web users put their opinions on the internet about various topics. Development of methods that automatically categorize these opinions to positive, negative or neutral is important. Opinion mining or sentiment analysis is known as mining of behavior, opinions and sentiments of the text, chat, etc. usi... | [
"Opinion Mining",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
49,
36,
78,
24,
3
] |
SCOPUS_ID:85125262042 | A Combination of Resampling Method and Machine Learning for Text Classification on Imbalanced Data | Imbalanced data will affect the accuracy of text classification, in order to solve this issue, 11 different algorithms are used to resampling the dataset. Results show that, 5 different oversampling method and SmoteTomek method can rebalance the dataset effectively, which can improve the recognition rate of models on t... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85125579672 | A Combination of Resampling and Ensemble Method for Text Classification on Imbalanced Data | One of the major factor which can affect the accuracy of text classification is the imbalanced dataset. In order to find the suitable method to handle this issue, six different ensemble methods are used to train models on imbalanced dataset. The result shows that, without resampling the dataset, Stacking algorithm perf... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85135747424 | A Combination of Sentiment Analysis Systems for the Study of Online Travel Reviews: Many Heads are Better than One | This study presents an analysis of the Rest-Mex forum task 2021, which is the first international evaluation event using tourism-related (Online Travels Reviews - OTRs) data from Mexico. In that forum, 14 specialized sentiment analysis systems were presented. The main contribution of this research is a method to succes... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85145235609 | A Combination of BERT and Transformer for Vietnamese Spelling Correction | Recently, many studies have shown the efficiency of using Bidirectional Encoder Representations from Transformers (BERT) in various Natural Language Processing (NLP) tasks. Specifically, English spelling correction task that uses Encoder-Decoder architecture and takes advantage of BERT has achieved state-of-the-art res... | [
"Language Models",
"Text Error Correction",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
52,
26,
72,
15
] |
SCOPUS_ID:85056151999 | A Combined Approach Using Semantic Role Labelling and Word Sense Disambiguation for Question Generation and Answer Extraction | Most question answering systems are used to predict an expected answer type given a question. In this work, we present a Question Answering System based on the combined approach of Word Sense Disambiguation (WSD) and Semantic Role Labeling (SRL). Our motivation is to generate reasonable questions and solve co-referenci... | [
"Semantic Text Processing",
"Word Sense Disambiguation",
"Semantic Parsing",
"Question Answering",
"Question Generation",
"Natural Language Interfaces",
"Text Generation",
"Information Extraction & Text Mining"
] | [
72,
65,
40,
27,
76,
11,
47,
3
] |
SCOPUS_ID:84964766215 | A Combined Approach for Disease/Disorder Template Filling | Disease/Disorder Template Filling is a complicated task of relation extraction, requiring a combination of several methods in order to solve it. The aim of this paper is to propose a combined approach for disorder template filling. The system combined three methods: rule-based, regular expression, and machine learning-... | [
"Relation Extraction",
"Information Extraction & Text Mining"
] | [
75,
3
] |
SCOPUS_ID:85105956410 | A Combined Approach for Text Detection in Images Using MLP Neural Networks and Image Processing | Text detection in images is an important research area that has attracted the attention of many researchers. Due to the growing image databases, information retrieval from databases in less time and with maximum precision is more important. The low level features which are extracted from the images and videos include m... | [
"Visual Data in NLP",
"Information Retrieval",
"Multimodality"
] | [
20,
24,
74
] |
http://arxiv.org/abs/1807.02911v3 | A Combined CNN and LSTM Model for Arabic Sentiment Analysis | Deep neural networks have shown good data modelling capabilities when dealing with challenging and large datasets from a wide range of application areas. Convolutional Neural Networks (CNNs) offer advantages in selecting good features and Long Short-Term Memory (LSTM) networks have proven good abilities of learning seq... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
78,
24,
3
] |
SCOPUS_ID:85103798480 | A Combined Extractive with Abstractive Model for Summarization | Aiming at the difficulties in document-level summarization, this paper presents a two-stage, extractive and then abstractive summarization model. In the first stage, we extract the important sentences by combining sentences similarity matrix (only used for the first time) or pseudo-title, which takes full account of th... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85125416882 | A Combined Model of NLP with Business Process Modelling for Sentiment Analysis | Natural language processing is one of the main sub-field of artificial intelligence, where all end users of internet in real time use their native language to extract the required information. This work concentrates on the sentiment analysis on social media, which comprises of text, numbers, hashtags, symbolic represen... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85087398989 | A Combined Weighting for the Feature-Based Method on Topological Parameters in Semantic Taxonomy Using Social Media | The textual analysis has become most important task due to the rapid increase of the number of texts that have been continuously generated in several forms such as posts and chats in social media, emails, articles, and news. The management of these texts requires efficient and effective methods, which can handle the li... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Text Clustering",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
29,
24,
3
] |
SCOPUS_ID:85084930267 | A Combined method to model policy interventions for local communities based on people knowledge | Policy interventions to promote innovative industries in peripheral regions are often hampered by lack of information on the functioning of the local socio-economic systems, due to their complexity. This might result in mismatches between policy objectives and the actual needs and capability of local communities. To ov... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:85109158489 | A Combined-Convolutional Neural Network for Chinese News Text Classification | At present, most of the researches on news classification are in English, and the traditional machine learning methods have a problem of incomplete extraction of local text block features in long text processing.In order to solve the problem of lack of special term set for Chinese news classification, a vocabulary suit... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85105637998 | A Comment on Lemanski’s “Concept Diagrams and the Context Principle” | In this paper I make some critical comments on Jens Lemanski’s article “Concept Diagrams and the Context Principle,” mainly on his “rational representationalism.” This is a view concerning the question whether it is either concepts, judgements, or inferences that may count as the primary element of a “logic.” It sugges... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
https://aclanthology.org//W17-3519/ | A Commercial Perspective on Reference | I briefly describe some of the commercial work which XXX is doing in referring expression algorithms, and highlight differences between what is commercially important (at least to XXX) and the NLG research literature. In particular, XXX is less interested in generic reference algorithms than in high-quality algorithms ... | [
"Text Generation"
] | [
47
] |
SCOPUS_ID:85117917779 | A Common Formal Framework for Factorial and Probabilistic Topic Modelling Techniques | Topic modelling is nowadays one of the most popular techniques used to extract knowledge from texts. There are several families of methods related to this problem, among them 1) Factorial methods, 2) Probabilistic methods and 3) Natural Language Processing methods. In this paper a common conceptual framework is provide... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
https://aclanthology.org//2021.mtsummit-up.18/ | A Common Machine Translation Post-Editing Training Protocol by GALA | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
http://arxiv.org/abs/2001.06381v2 | A Common Semantic Space for Monolingual and Cross-Lingual Meta-Embeddings | This paper presents a new technique for creating monolingual and cross-lingual meta-embeddings. Our method integrates multiple word embeddings created from complementary techniques, textual sources, knowledge bases and languages. Existing word vectors are projected to a common semantic space using linear transformation... | [
"Multilinguality",
"Semantic Text Processing",
"Cross-Lingual Transfer",
"Representation Learning"
] | [
0,
72,
19,
12
] |
https://aclanthology.org//W00-1009/ | A Common Theory of Information Fusion from Multiple Text Sources Step One: Cross-Document Structure | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
11,
38,
48,
57
] | |
http://arxiv.org/abs/0909.2718v1 | A Common XML-based Framework for Syntactic Annotations | It is widely recognized that the proliferation of annotation schemes runs counter to the need to re-use language resources, and that standards for linguistic annotation are becoming increasingly mandatory. To answer this need, we have developed a framework comprised of an abstract model for a variety of different annot... | [
"Syntactic Text Processing"
] | [
15
] |
http://arxiv.org/abs/2212.00298v1 | A Commonsense-Infused Language-Agnostic Learning Framework for Enhancing Prediction of Political Polarity in Multilingual News Headlines | Predicting the political polarity of news headlines is a challenging task that becomes even more challenging in a multilingual setting with low-resource languages. To deal with this, we propose to utilise the Inferential Commonsense Knowledge via a Translate-Retrieve-Translate strategy to introduce a learning framework... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Commonsense Reasoning",
"Text Generation",
"Reasoning",
"Information Retrieval",
"Multilinguality"
] | [
52,
51,
72,
62,
47,
8,
24,
0
] |
SCOPUS_ID:85060024758 | A Community Based Web Summarization in Near Linear Time | The rapid growth of web users searching for their topics of interest on web, pose challenges to the system, in particular to the search engines. Web content summarization is one crucial application which helps in leveraging the performance of search engines. However summarizing the totality of web content is a laboriou... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
https://aclanthology.org//W00-0311/ | A Compact Architecture for Dialogue Management Based on Scripts and Meta-Outputs | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85056508289 | A Compact Encoding for Efficient Character-level Deep Text Classification | This paper puts forward a new text to tensor representation that relies on information compression techniques to assign shorter codes to the most frequently used characters. This representation is language-independent with no need of pretraining and produces an encoding with no information loss. It provides an adequate... | [
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Text Classification",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
68,
36,
24,
4
] |
SCOPUS_ID:85068988917 | A Compact Framework for Voice Conversion Using Wavenet Conditioned on Phonetic Posteriorgrams | Voice conversion can benefit from WaveNet vocoder with improvement in converted speech's naturalness and quality. However, nowadays approaches segregate the training of conversion module and WaveNet vocoder towards different optimization objectives, which might lead to the difficulty in model tuning and coordination. I... | [
"Phonetics",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality"
] | [
64,
70,
15,
74
] |
http://arxiv.org/abs/2208.12367v2 | A Compact Pretraining Approach for Neural Language Models | Domain adaptation for large neural language models (NLMs) is coupled with massive amounts of unstructured data in the pretraining phase. In this study, however, we show that pretrained NLMs learn in-domain information more effectively and faster from a compact subset of the data that focuses on the key information in t... | [
"Language Models",
"Structured Data in NLP",
"Semantic Text Processing",
"Multimodality"
] | [
52,
50,
72,
74
] |
SCOPUS_ID:84885552274 | A Companion to the Latin Language | A Companion to the Latin Language presents a collection of original essays from international scholars that track the development and use of the Latin language from its origins to its modern day usage. • Brings together contributions from internationally renowned classicists, linguists and Latin language specialists • ... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
https://aclanthology.org//W12-3904/ | A Comparable Corpus Based on Aligned Multilingual Ontologies | [
"Multilinguality"
] | [
0
] | |
SCOPUS_ID:85128223902 | A Comparative Analysis for Optical Character Recognition for Text Extraction from Images Using Artificial Neural Network Fuzzy Inference System | Artificial neural networks (ANN) has the capability to analyze raw data from processing input-output relationships. This function considers them important in areas of industry with such information is unusual. Researchers have tried to extract the information embedded within ANNs as set of rules used with inference sys... | [
"Visual Data in NLP",
"Multimodality",
"Information Extraction & Text Mining"
] | [
20,
74,
3
] |
SCOPUS_ID:85130264052 | A Comparative Analysis of Automatic Extractive and Abstractive Text Summarization | With the advancement of the web, a large amount of data is being generated by people on the web. A shorter yet logical and consistent version of such a large amount of text is very beneficial to easily draw significant conclusions. Summarization is a way to derive a coherent and fluent summary. Summarization can be cat... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85116460585 | A Comparative Analysis of Chinese and American Newspaper Reports on China’s Belt and Road Initiative | This study adopts a critical discourse analysis approach in comparing the portrayal of China’s Belt and Road Initiative (BRI) in two English language newspapers, China Daily (CD) and New York Times (NYT). It focuses on how these two influential newspapers employ various discursive strategies to portray the BRI and its ... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
http://arxiv.org/abs/1905.08780v1 | A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media | Author Profiling (AP) aims at predicting specific characteristics from a group of authors by analyzing their written documents. Many research has been focused on determining suitable features for modeling writing patterns from authors. Reported results indicate that content-based features continue to be the most releva... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85137164739 | A Comparative Analysis of Generative Neural Attention-based Service Chatbot | Companies constantly rely on customer support to deliver pre-and post-sale services to their clients through websites, mobile devices or social media platforms such as Twitter. In assisting customers, companies employ virtual service agents (chatbots) to provide support via communication devices. The primary focus is t... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
52,
72,
12,
11,
38
] |
SCOPUS_ID:85111979898 | A Comparative Analysis of Japan and India COVID-19 News Using Topic Modeling Approach | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is wreaking havoc. This virus has infected more than 62.01 million and killed around 1.44 million people worldwide in less than a year. For the past 11 months, this is the most critical issue that the world is dealing with. Hence, there is a rapid accumulatio... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85150040915 | A Comparative Analysis of Math Word Problem Solving on Characterized Datasets | Benefit from the neural network research, a couple of neural solvers have been developed for automatically solving math word problems (MWPs). These neural solvers are evaluated on several benchmark datasets with diverse characteristics, which leads to a poor comparability of the performance of each solver. To address t... | [
"Reasoning",
"Numerical Reasoning"
] | [
8,
5
] |
SCOPUS_ID:85148422676 | A Comparative Analysis of Sentence Embedding Techniques for Document Ranking | Due to the exponential increase in the information on the web, extracting relevant documents for users in a reasonable time becomes a cumbersome task. Also, when user feedback is scarce or unavailable, content-based approaches to extract and rank relevant documents are critical as they suffer from the problem of determ... | [
"Language Models",
"Document Retrieval",
"Semantic Text Processing",
"Representation Learning",
"Information Retrieval"
] | [
52,
56,
72,
12,
24
] |
SCOPUS_ID:85105865696 | A Comparative Analysis of Sentiment Analysis Using RNN-LSTM and Logistic Regression | Social media analytics makes a big difference in the success or failure of an organization. The data gathered from social media can be used to get a hit type product by analyzing the data and getting important information about the need of the people. This can be done by implementing sentiment analysis on the available... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
SCOPUS_ID:85124025585 | A Comparative Analysis of Sentiment Classification Based on Deep and Traditional Ensemble Machine Learning Models | The era of the internet has transformed the way people share their thoughts and viewpoints. It is now achieved mostly through blog entries, product review blogs, social networks, and so on. We get immersive media through online networks, where users notify and affect others through the internet. In this research, posit... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
12,
78,
36,
3
] |
SCOPUS_ID:85111966224 | A Comparative Analysis of Supervised Word Sense Disambiguation in Information Retrieval | As the amount of information increases every day, there is a need of information retrieval for finding useful information from large amount of information. This paper presents and evaluates supervised word sense disambiguation (WSD) algorithms in information retrieval (IR). Word ambiguity problem is a key issue in the ... | [
"Semantic Text Processing",
"Information Retrieval",
"Word Sense Disambiguation"
] | [
72,
24,
65
] |
SCOPUS_ID:85073118365 | A Comparative Analysis of TF-IDF, LSI and LDA in Semantic Information Retrieval Approach for Paper-Reviewer Assignment | The intelligent task of semantically assigning a paper to a reviewer with respect to his knowledge domain remains a challenging task in academic conferences. From literature, a number of automated reviewer assignment systems have been presented which are based on distributional semantic models such as Term Frequency-In... | [
"Indexing",
"Information Retrieval"
] | [
69,
24
] |
SCOPUS_ID:85079508258 | A Comparative Analysis of Text Classification Algorithms for Ambiguity Detection in Requirement Engineering Document Using WEKA | The volume of digital documents is increasing day by day and thus the task of automatic categorization of document is very important for information and knowledge discovery. Classification is the most common method for finding the mine rule from the large databases. Ambiguity is the major problem in Requirement Enginee... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85065234628 | A Comparative Analysis of Top 5 Fast Food Restaurants Through Text Mining | Text mining is a logical way of mining content and to know about feelings of users. Social media plays a vital role in letting people know about each other views. An ever increasing number of different online integration brands are working on Facebook, Instagram, Twitter and other social networks to furnish several dir... | [
"Information Extraction & Text Mining"
] | [
3
] |
https://aclanthology.org//D19-6102/ | A Comparative Analysis of Unsupervised Language Adaptation Methods | To overcome the lack of annotated resources in less-resourced languages, recent approaches have been proposed to perform unsupervised language adaptation. In this paper, we explore three recent proposals: Adversarial Training, Sentence Encoder Alignment and Shared-Private Architecture. We highlight the differences of t... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
80,
52,
72,
58,
4
] |
SCOPUS_ID:85062889913 | A Comparative Analysis of Word Embedding Representations in Authorship Attribution of Bengali Literature | Word Embeddings can be used by deep layers of neural networks to extract features from them to learn stylo-metric patterns of authors based on context and co-occurrence of the words in the field of Authorship Attribution. In this paper, we investigate the effects of different types of word embeddings in Authorship Attr... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85122866120 | A Comparative Analysis of the Semantic and Pragmatic Function of Diminutives in Literary Translation from Spanish into German: the case of Últimas tardes con Teresa by Juan Marsé | This paper aims to offer a comparative analysis of the use of diminutives in Spanish and German from the point of view of semantics and pragmatics. Specifically, the linguistic corpus which is examined is the novel Últimas tardes con Teresa by Juan Marsé. The Spanish version is contrasted with the German translation by... | [
"Machine Translation",
"Semantic Text Processing",
"Discourse & Pragmatics",
"Text Generation",
"Multilinguality"
] | [
51,
72,
71,
47,
0
] |
SCOPUS_ID:85142028376 | A Comparative Analysis of Local Explainability of Models for Sentiment Detection | Sentiment analysis is one of the crucial tasks in Natural Language Processing (NLP) which refers to classifying natural language sentences by their positive or negative sentiments. In many existing deep learning-based models, providing an explanation of a sentiment might be as necessary as the prediction itself. In thi... | [
"Language Models",
"Semantic Text Processing",
"Explainability & Interpretability in NLP",
"Sentiment Analysis",
"Responsible & Trustworthy NLP"
] | [
52,
72,
81,
78,
4
] |
SCOPUS_ID:85147990682 | A Comparative Analysis of Machine Learning Based Sentiment Analysis | In today’s world, everyone expresses themselves through social media. The most popular platforms for sharing opinions on any issue are Twitter, Facebook, Youtube, IMDB, etc. We can examine people’s attitudes after evaluating messages, comments, responses, and reviews. Sentiment Analysis is a Natural Language Processing... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85125879436 | A Comparative Analysis on Medical Article Classification Using Text Mining & Machine Learning Algorithms | The document classification task is one of the widely studied research fields on multiple domains. The core motivation of the classification task is that the manual classification efforts are impractical due to the exponentially growing document volumes. Thus, we densely need to exploit automated computational approach... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85138638918 | A Comparative Analysis on Suicidal Ideation Detection Using NLP, Machine, and Deep Learning | Social networks are essential resources to obtain information about people’s opinions and feelings towards various issues as they share their views with their friends and family. Suicidal ideation detection via online social network analysis has emerged as an essential research topic with significant difficulties in th... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85144232675 | A Comparative Analysis on the Summarization of Legal Texts Using Transformer Models | Transformer models have evolved natural language processing tasks in machine learning and set a new standard for the state of the art. Thanks to the self-attention component, these models have achieved significant improvements in text generation tasks (such as extractive and abstractive text summarization). However, re... | [
"Language Models",
"Semantic Text Processing",
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
52,
72,
30,
47,
3
] |
SCOPUS_ID:85123783865 | A Comparative Analysis with the Hybrid Algorithm Approach for Sentimental Analysis through Machine Learning | This research work focuses on the latest studies that have used Machine learning to find a solution to sentiment analysis problems related to sentiment polarisation. In preprocessing steps, the Models applied to stop words and Bag of words to collect datasets. Even with the widespread usage and acceptance of some appro... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85111871101 | A Comparative Analyzing of SMS Spam Using Topic Models | Mobile phones or smart phones have changed or revolutionized the way we live. These days the short message service (SMS) is becoming fashionable. For spammers, the success of the mobile messaging channel has become a very attractive target to attack. To impose an additional level of security in the pervasive environmen... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85123295381 | A Comparative Approach for Opinion Spam Detection Using Sentiment Analysis | The most important sources of information about the products or services are online reviews. People trust online review comments while purchasing electronics items, hotel booking, college admission, movies, etc. Sometimes it has been intentionally written by the fake reviewers for monetary gain, business rivalry, etc. ... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85111811315 | A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction | Keyphrase extraction is a fundamental task in information management, which is often used as a preliminary step in various information retrieval and natural language processing tasks. The main contribution of this paper lies in providing a comparative assessment of prominent multilingual unsupervised keyphrase extracti... | [
"Multilinguality",
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Term Extraction",
"Responsible & Trustworthy NLP"
] | [
0,
80,
3,
1,
4
] |
https://aclanthology.org//W19-7905/ | A Comparative Corpus Analysis of PP Ordering in English and Chinese | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] | |
SCOPUS_ID:85140652517 | A Comparative Empirical Evaluation of Neural Language Models for Thai Question-Answering | Despite engineers and researchers' significant and continuing efforts in developing natural language processing tools for the Thai language, the Thai language is, alongside many others, a de facto low-resource language. Can unsupervisedly trained neural language models come to the rescue? The remarkable success of tran... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Question Answering"
] | [
52,
11,
72,
27
] |
http://arxiv.org/abs/2204.07056v1 | A Comparative Evaluation Of Transformer Models For De-Identification Of Clinical Text Data | Objective: To comparatively evaluate several transformer model architectures at identifying protected health information (PHI) in the i2b2/UTHealth 2014 clinical text de-identification challenge corpus. Methods: The i2b2/UTHealth 2014 corpus contains N=1304 clinical notes obtained from N=296 patients. Using a transfe... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85080921566 | A Comparative Evaluation of Classification Algorithms for Sentiment Analysis Using Word Embeddings | Sentiment Analysis is an increasing field of research that lies at the intersection of many fields such as Natural Language Processing (NLP), Computational Linguistics and Machine Learning. It is concerned with the extraction of sentiment polarity conveyed in a piece of text. Furthermore, one of the most influential re... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
78,
24,
3
] |
SCOPUS_ID:85081305147 | A Comparative Evaluation of Preprocessing Techniques for Short Texts in Spanish | Natural Language Processing (NLP) is used to identify key information, generating predictive models, and explaining global events or trends. Also, NLP is supported during the process to create knowledge. Therefore, it is important to apply refinement techniques in major stages such as preprocessing, when data is freque... | [
"Sentiment Analysis"
] | [
78
] |
http://arxiv.org/abs/1907.08501v1 | A Comparative Evaluation of Visual and Natural Language Question Answering Over Linked Data | With the growing number and size of Linked Data datasets, it is crucial to make the data accessible and useful for users without knowledge of formal query languages. Two approaches towards this goal are knowledge graph visualization and natural language interfaces. Here, we investigate specifically question answering (... | [
"Visual Data in NLP",
"Natural Language Interfaces",
"Question Answering",
"Multimodality"
] | [
20,
11,
27,
74
] |
SCOPUS_ID:85139161010 | A Comparative Lexical Analysis of Three Romanian Works – The Etymological Metalepsis Role and Etymological Indices | We introduce an etymological perspective in computational linguistic and apply it for the analysis of literary works with self-biographic content. Our hypothesis is that etymological mixtures used by an author may be a powerful stylistic device. We propose and investigate in the frame of computational linguistics the n... | [
"Indexing",
"Information Retrieval"
] | [
69,
24
] |
SCOPUS_ID:85136332116 | A Comparative Selection of Best Activation Pair Layer in Convolution Neural Network for Sentence Classification using Deep Learning Model | Many natural language processing jobs need sentiment classification of text content. There is an urgent need, particularly with the rise of social media, to extract meaningful information from vast volumes of data upon that Internet utilizing sentiment analysis. We're interested in adopting deep learning models to hand... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85084684263 | A Comparative Sentiment Analysis of Sentence Embedding Using Machine Learning Techniques | Analyzing sentiment is a process to identify the opinion of a text. It is also known as opinion mining or emotion Artificial Intelligence (AI). People post comments in social media mentioning their experience about an event and are also interested to know if the majority of other people had a positive or negative exper... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
78,
24,
3
] |
SCOPUS_ID:85136953132 | A Comparative Study Between Rule-Based and Transformer-Based Election Prediction Approaches: 2020 US Presidential Election as a Use Case | Social media platforms (SMPs) attracted people from all over the world for they allow them to discuss and share their opinions about any topic including politics. The comprehensive use of these SMPs has radically transformed new-fangled politics. Election campaigns and political discussions are increasingly held on the... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
SCOPUS_ID:85137811911 | A Comparative Study Of Sentiment Analysis For Big Data On Hadoop | Nowadays, people express almost all their feelings and views about everything in the surrounding world on social media applications. If these posts are analyzed accurately, they will be a huge opportunity for various organizations to increase their market value by using that information in decision-making. Opinion mini... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85134756700 | A Comparative Study for Supervised Learning Algorithms to Analyze Sentiment Tweets | Twitter popularity has increasingly grown in the last few years, influencing life"s social, political, and business aspects. People would leave their tweets on social media about an event, and simultaneously inquire to see other people's experiences and whether they had a positive/negative opinion about that event. Sen... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85116846471 | A Comparative Study into Stock Market Prediction Through Various Sentiment Analysis Algorithms | From past times, there is strong link between finances, currencies and economic growth the future and progress of humankind. Now a days, the future of economic development is dictated by fortunes and vagaries prevalent in share stock markets. Researchers have found that it is possible to make forecasts with large histo... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85144426943 | A Comparative Study of BERT-Based Attention Flows Versus Human Attentions on Fill-in-Blank Task | The purpose of this small-scale study is to compare BERT language model’s attention flow—which quantifies the marginal contributions from each word and aggregated word groups towards the fill-in-blank prediction— with human evaluators’ opinions on the same task. Based on a limited number of experiments performed, we ha... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85128880323 | A Comparative Study of Bot Detection Techniques With an Application in Twitter Covid-19 Discourse | Bot Detection is crucial in a world where Online Social Networks (OSNs) play a pivotal role in our lives as public communication channels. This task becomes highly relevant in crises like the Covid-19 pandemic when there is a growing risk of proliferation of automated accounts designed to produce misinformation content... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
71,
72,
78
] |
SCOPUS_ID:85083079919 | A Comparative Study of Co-Occurrence Strategies for Building A Cross-Domain Sentiment Thesaurus | With the evolution of user-based web content, people naturally and freely share their opinion in numerous domains. However, this would result in a massive cost to label training data for many domains and prevent us from taking advantage of the shared information across-domains. As a result, cross-domain sentiment analy... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85132442241 | A Comparative Study of Conceptual Metaphors of Joyness and Fear in Adolescent’s Literature: A Cognitive Approach | Conceptual metaphor is one of the most important topics on cognitive linguistics. This approach, believes that the metaphor is a cognitive phenomenon and what appears in the language is just an aspect of this cognitive phenomenon. In this research, we aim to analysis joyness and fear of eight teenage novels from two Ir... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
SCOPUS_ID:85107418904 | A Comparative Study of Conventional Machine Learning and Deep Learning Models to Find Semantic Similarity | In today’s scenario, with many platforms trying to provide answers to every question that the users try searching on the internet, the ease of finding things is direct but constrained for a limited number of users. It becomes arduous to find the answers even though they already exist. The uncertainty is due to semantic... | [
"Language Models",
"Semantic Text Processing",
"Semantic Similarity"
] | [
52,
72,
53
] |
SCOPUS_ID:85112145585 | A Comparative Study of Conversational Proxemics for Virtual Agents | This paper explores proxemics—interpersonal distances—in conversations with virtual agents in virtual reality. While the real-world proxemics of human-human interaction have been well studied, the virtual-world proxemics of human-agent interaction are less well understood. We review research related to proxemics in vir... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85066608855 | A Comparative Study of Deep Learning Approaches for Query-Focused Extractive Multi-Document Summarization | Query-focused multi-document summarization aims to produce a single, short document that summarizes a set of documents that are relevant to a given query. During the past few years, deep learning approaches have been utilized to generate summaries in an abstractive or extractive manner. In this study, we employ six dee... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85126397191 | A Comparative Study of Deep Learning Methods for Hate Speech and Offensive Language Detection in Textual Data | The problem of hate speech on social network sites is very prevalent which is being faced by every major social media platform. Several methods have been explored for the purpose of intent-based text classification. Each method has its own pros and cons concerning the type of intent, size of data set, the maximum lengt... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Ethical NLP",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
52,
72,
24,
3,
17,
36,
4
] |
SCOPUS_ID:85130308512 | A Comparative Study of Deep Learning Techniques for Farmer Query Text Classification | This research proposes Long Short-Term Memory Network models with different stacked LSTM layers for farmer queries classification. The 23 different classes of 105,724 farmer queries were used to train the proposed LSTM models. Word to vector (Word2Vec), Global Vectors for Word Representation (GloVe), and FastText embed... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
12,
24,
3
] |
SCOPUS_ID:85103853117 | A Comparative Study of Deep Learning based Named Entity Recognition Algorithms for Cybersecurity | Named Entity Recognition (NER) is important in the cybersecurity domain. It helps researchers extract cyber threat information from unstructured text sources. The extracted cyber-entities or key expressions can be used to model a cyber-attack described in an open-source text. A large number of general-purpose NER algor... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.