id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
http://arxiv.org/abs/2002.10116v1 | A Hybrid Approach to Dependency Parsing: Combining Rules and Morphology with Deep Learning | Fully data-driven, deep learning-based models are usually designed as language-independent and have been shown to be successful for many natural language processing tasks. However, when the studied language is low-resourced and the amount of training data is insufficient, these models can benefit from the integration o... | [
"Syntactic Parsing",
"Syntactic Text Processing",
"Morphology"
] | [
28,
15,
73
] |
http://arxiv.org/abs/1303.1441v2 | A Hybrid Approach to Extract Keyphrases from Medical Documents | Keyphrases are the phrases, consisting of one or more words, representing the important concepts in the articles. Keyphrases are useful for a variety of tasks such as text summarization, automatic indexing, clustering/classification, text mining etc. This paper presents a hybrid approach to keyphrase extraction from me... | [
"Term Extraction",
"Information Extraction & Text Mining"
] | [
1,
3
] |
SCOPUS_ID:85138422430 | A Hybrid Approach to Identify and Forecast Technological Opportunities based on Topic Modeling and Sentiment Analysis | This study proposes a hybrid approach to recognize both technological topics and application topics by mining intelligence separately from the different parts of Derwent patent document. Topic modeling method is introduced to recognize topics from patents while sentiment analysis combined with traditional bibliometric ... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Sentiment Analysis"
] | [
9,
3,
78
] |
https://aclanthology.org//W14-4408/ | A Hybrid Approach to Multi-document Summarization of Opinions in Reviews | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] | |
SCOPUS_ID:85061924147 | A Hybrid Approach to Paraphrase Detection | In this paper, we present a hybrid approach to the paraphrase detection task. The approach takes advantage of both feature-engineering and neural-based methods. First, we represent words and entities in a given sentence by using their pre-trained vectors. Then, those pre-trained vectors are encoded by a bidirectional l... | [
"Language Models",
"Paraphrasing",
"Semantic Text Processing",
"Text Generation"
] | [
52,
32,
72,
47
] |
SCOPUS_ID:85132420501 | A Hybrid Approach to Paraphrase Detection Based on Text Similarities and Machine Learning Classifiers | In the realm of natural language processing (NLP), paraphrase detection is a highly common and significant activity. Because it is involved in a lot of complicated and complex NLP applications like information retrieval, text mining, and plagiarism detection. The proposed model finds the best combination of the three t... | [
"Paraphrasing",
"Text Classification",
"Text Generation",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
32,
36,
47,
24,
3
] |
SCOPUS_ID:85124690603 | A Hybrid Approach to Predict Election Candidate Success Using Candidate Speech and Voter Opinion | Election candidate success is a prediction of the winning rate of the candidate. Sentiment analysis on user’s social media data plays a prominent role in prediction. It refers to a classification problem where the main goal is to classify data into positive and negative sentiments. Sentiment analysis over user’s Twitte... | [
"Information Extraction & Text Mining",
"Text Classification",
"Speech & Audio in NLP",
"Sentiment Analysis",
"Information Retrieval",
"Multimodality"
] | [
3,
36,
70,
78,
24,
74
] |
http://arxiv.org/abs/1611.01083v1 | A Hybrid Approach to Word Sense Disambiguation Combining Supervised and Unsupervised Learning | In this paper, we are going to find meaning of words based on distinct situations. Word Sense Disambiguation is used to find meaning of words based on live contexts using supervised and unsupervised approaches. Unsupervised approaches use online dictionary for learning, and supervised approaches use manual learning set... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Responsible & Trustworthy NLP"
] | [
80,
72,
65,
4
] |
https://aclanthology.org//W01-1620/ | A Hybrid Approach to the Development of Dialogue Systems directed by Semantics | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85113411165 | A Hybrid Approach with Machine Learning Towards Opinion Mining for Complex Textual Content | Opinion Mining is increasing adopted in business enterprises where sophisticated analytical approaches are subjected to the opinion in the form of text from the consumer. Review of existing literature shows that there are still an open scope to further improve upon this technique. The proposed study considers a case st... | [
"Opinion Mining",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
49,
78,
3
] |
SCOPUS_ID:85132397168 | A Hybrid Arabic Text Summarization Approach based on Transformers | Recently, the amount of data in the world has increased tremendously. Most of the research and efforts have focused on dealing with data in the English language. Dealing with data in other languages, such as Arabic, has become a significant challenge. In this paper, we proposed a sequential hybrid model based on a tran... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Summarization",
"Text Generation",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
30,
47,
36,
3
] |
http://arxiv.org/abs/2303.04134v1 | A Hybrid Architecture for Out of Domain Intent Detection and Intent Discovery | Intent Detection is one of the tasks of the Natural Language Understanding (NLU) unit in task-oriented dialogue systems. Out of Scope (OOS) and Out of Domain (OOD) inputs may run these systems into a problem. On the other side, a labeled dataset is needed to train a model for Intent Detection in task-oriented dialogue ... | [
"Sentiment Analysis",
"Intent Recognition",
"Text Clustering",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Information Extraction & Text Mining"
] | [
78,
79,
29,
11,
38,
3
] |
SCOPUS_ID:85135068944 | A Hybrid Automatic Text Summarization Model for Judgment Documents | Judgment documents are the final carrier of judicial trial activities, and they are an indispensable component for assisting sentencing decision-making and standardizing the scale of judgment. At present, the number of public judgment documents in China has reached 120 million, and it does not stop there, which brings ... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85090780953 | A Hybrid BERT Model That Incorporates Label Semantics via Adjustive Attention for Multi-Label Text Classification | The multi-label text classification task aims to tag a document with a series of labels. Previous studies usually treated labels as symbols without semantics and ignored the relation among labels, which caused information loss. In this paper, we show that explicitly modeling label semantics can improve multi-label text... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
12,
24,
3
] |
http://arxiv.org/abs/2008.06176v1 | A Hybrid BERT and LightGBM based Model for Predicting Emotion GIF Categories on Twitter | The animated Graphical Interchange Format (GIF) images have been widely used on social media as an intuitive way of expression emotion. Given their expressiveness, GIFs offer a more nuanced and precise way to convey emotions. In this paper, we present our solution for the EmotionGIF 2020 challenge, the shared task of S... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85058377155 | A Hybrid BLSTM-C Neural Network Proposed for Chinese Text Classification | Text classification has always been a concern in area of natural language processing, especially nowadays the data are getting massive due to the development of Internet. Recurrent neural network (RNN) is one of the most popular method for natural language processing due to its recurrent architecture which give it abil... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85076999703 | A Hybrid Bat Algorithm Based on Combined Semantic Measures for Word Sense Disambiguation | The task of assigning an appropriate sense for an ambiguous word depending on its context is referred to as Words Sense Disambiguation (WSD). The objective of WSD is to attain an improved accuracy for real world applications, such as in information extraction, automatic summarisation, or machine translation. The WSD is... | [
"Semantic Text Processing",
"Word Sense Disambiguation"
] | [
72,
65
] |
SCOPUS_ID:85071097904 | A Hybrid Bidirectional Recurrent Convolutional Neural Network Attention-Based Model for Text Classification | The text classification task is an important application in natural language processing. At present, deep learning models, such as convolutional neural network and recurrent neural network, have achieved good results for this task, but the multi-class text classification and the fine-grained sentiment analysis are stil... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85067388843 | A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis | Nowadays, social media has become a tremendous source of acquiring user’s opinions. With the advancement of technology and sophistication of the internet, a huge amount of data is generated from various sources like social blogs, websites, etc. In recent times, the blogs and websites are the real-time means of gatherin... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis",
"Representation Learning"
] | [
52,
72,
78,
12
] |
SCOPUS_ID:85120344433 | A Hybrid CNN-LSTM: A Deep Learning Approach for Consumer Sentiment Analysis Using Qualitative User-Generated Contents | With the fastest growth of information and communication technology (ICT), the availability of web content on social media platforms is increasing day by day. Sentiment analysis from online reviews drawing researchers' attention from various organizations such as academics, government, and private industries. Sentiment... | [
"Representation Learning",
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
12,
52,
72,
78
] |
SCOPUS_ID:85119665927 | A Hybrid Capsule Network with Attention and BiLSTM for Opinion Mining in Text | Examining the product review or review on web service facilitate to increase the product quality or web service. By means, comments from online shopping sites such as Amazon, Flipkart, EBay etc will not only assist the users to purchase the product however besides be able to guide the producer/supplier to identify the ... | [
"Language Models",
"Opinion Mining",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
49,
72,
78
] |
http://arxiv.org/abs/1609.01597v1 | A Hybrid Citation Retrieval Algorithm for Evidence-based Clinical Knowledge Summarization: Combining Concept Extraction, Vector Similarity and Query Expansion for High Precision | Novel information retrieval methods to identify citations relevant to a clinical topic can overcome the knowledge gap existing between the primary literature (MEDLINE) and online clinical knowledge resources such as UpToDate. Searching the MEDLINE database directly or with query expansion methods returns a large number... | [
"Semantic Text Processing",
"Representation Learning",
"Summarization",
"Text Generation",
"Reasoning",
"Fact & Claim Verification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
12,
30,
47,
8,
46,
24,
3
] |
SCOPUS_ID:85092738254 | A Hybrid Classification Approach using Topic Modeling and Graph Convolution Networks | Text classification has become a key operation in various natural language processing tasks. The efficiency of most classification algorithms predominantly confide in the quality of input features. In this work, we propose a novel multi-class text classification technique that harvests features from two distinct featur... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Information Retrieval",
"Structured Data in NLP",
"Text Classification",
"Multimodality"
] | [
9,
3,
24,
50,
36,
74
] |
SCOPUS_ID:85085659397 | A Hybrid Classification Method via Character Embedding in Chinese Short Text with Few Words | Last decades have witnessed the significance development of research in short text classification. However, most existing methods only focus on the text which contained dozens of words like Twitter or MicroBlog, but not take the short text with few words like news headline or invoice name into consideration. Meanwhile,... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85088748221 | A Hybrid Conversational Agent with Semantic Association of Autobiographic Memories for the Elderly | Socially Assistive Robots are becoming essential in the field of elderly care, as they can support caregivers in their tasks, for instance, by providing senior users with emotional and psychological support through verbal communication. In this paper, we present the results of a project where we developed an interactiv... | [
"Natural Language Interfaces",
"Multimodality",
"Speech & Audio in NLP",
"Dialogue Systems & Conversational Agents"
] | [
11,
74,
70,
38
] |
http://arxiv.org/abs/1702.02390v1 | A Hybrid Convolutional Variational Autoencoder for Text Generation | In this paper we explore the effect of architectural choices on learning a Variational Autoencoder (VAE) for text generation. In contrast to the previously introduced VAE model for text where both the encoder and decoder are RNNs, we propose a novel hybrid architecture that blends fully feed-forward convolutional and d... | [
"Language Models",
"Semantic Text Processing",
"Text Generation"
] | [
52,
72,
47
] |
SCOPUS_ID:85122790083 | A Hybrid Data Analytics Framework with Sentiment Convergence and Multi-Feature Fusion for Stock Trend Prediction | Stock market analysis plays an indispensable role in gaining knowledge about the stock market, developing trading strategies, and determining the intrinsic value of stocks. Nevertheless, predicting stock trends remains extremely difficult due to a variety of influencing factors, volatile market news, and sentiments. In... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
SCOPUS_ID:85096448964 | A Hybrid Deep Learning Approach for Stock Price Prediction | Prediction of stock prices has been the primary objective of an investor. Any future decision taken by the investor directly depends on the stock prices associated with a company. This work presents a hybrid approach for the prediction of intra-day stock prices by considering both time-series and sentiment analysis. Fu... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
SCOPUS_ID:85056835262 | A Hybrid Deep Learning Architecture for Paraphrase Identification | The binary classification task of Paraphrase Identification (PI) is vital in the field of Natural Language Processing. The objective of this study is to propose an optimized Deep Learning architecture in combination with usage of word embedding technique for the classification of sentence pairs as paraphrases or not. F... | [
"Paraphrasing",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Text Generation",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
32,
72,
36,
12,
47,
24,
3
] |
SCOPUS_ID:85062502914 | A Hybrid Deep Learning Framework for Bacterial Named Entity Recognition | Microorganisms have been confirmed to be essential for the fundamental function of various ecosystems. The interactions among microorganisms affect the human health and environmental ecosystem. A large number of microbial interactions with experimental confidence have been reported in biomedical literature. Extracting ... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85124532254 | A Hybrid Deep Learning Model for Emotion Detection in Emotion-sensitive Robo-Advisors | The rise of human-like conversational agents such as chatbots and robo-Advisors have motivated researchers to exploit the property of 'anthropomorphizing' in conversational agents who can facilitate an array of real-world applications. Since human can naturally detect respondents' emotions embedded in their responses a... | [
"Information Extraction & Text Mining",
"Text Classification",
"Natural Language Interfaces",
"Sentiment Analysis",
"Emotion Analysis",
"Information Retrieval",
"Dialogue Systems & Conversational Agents"
] | [
3,
36,
11,
78,
61,
24,
38
] |
SCOPUS_ID:85099131245 | A Hybrid Deep Learning Model for Long-Term Sentiment Classification | With the omnipresence of user feedbacks in social media, mining of relevant opinion and extracting the underlying sentiment to analyze synthetic emotion towards a specific product, person, topic or event has become a vast domain of research in recent times. A thorough survey of the early unimodal and multimodal sentime... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
78,
24,
3
] |
SCOPUS_ID:85065765847 | A Hybrid Deep Learning Model for Text Classification | Deep learning has shown its effectiveness in many tasks such as text classification and computer vision. Most text classification tasks are concentrated in the use of convolution neural network and recurrent neural network to obtain text feature representation. In some researches, Attention mechanism is usually adopted... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85062775577 | A Hybrid Deep Learning Model to Predict Business Closure from Reviews and User Attributes Using Sentiment Aligned Topic Model | Business closure is a very good indicator for success or failure of a business. This will help investors and banks as to whether to invest or lend to a particular business for future growth and benefits. Traditional machine learning techniques require extensive manual feature engineering and still do not perform satisf... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Sentiment Analysis"
] | [
9,
3,
78
] |
SCOPUS_ID:85141617708 | A Hybrid Deep Learning Technique for Sentiment Analysis in E-Learning Platform with Natural Language Processing | E-learning-based teaching methodologies are increasing now-a-days and also, the online classes are considered as highly popular that ensures the virtual platform for online education from anywhere in the world. The social networks are widely distributed that generates different opinions on various perspectives of life ... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85084307218 | A Hybrid Deep Neural Network for Urdu Text Recognition in Natural Images | In this work, we present a benchmark and a hybrid deep neural network for Urdu Text Recognition in natural scene images. Recognizing text in natural scene images is a challenging task, which has attracted the attention of computer vision and pattern recognition communities. In recent years, scene text recognition has w... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85085738383 | A Hybrid Dictionary Model for Ethical Analysis | With the adoption of social media and web services, people have become more likely to share opinions on the web about their daily activities. Thus, social networks end up being seen as an opportunity to bend the rules, making things inadmissible in society. This work aimed to design a dictionary template for sentiment ... | [
"Responsible & Trustworthy NLP",
"Ethical NLP",
"Sentiment Analysis"
] | [
4,
17,
78
] |
SCOPUS_ID:85074239572 | A Hybrid Engine for Clinical Information Extraction from Radiology Reports | Clinical researches and practitioners require data extracted from CT scan reports but most of them are in unstructured data format, which are not ready to analysis. Furthermore, a lag of annotated data makes data extraction more difficult to apply natural language processing techniques to convert unstructured data to b... | [
"Multimodality",
"Structured Data in NLP",
"Information Extraction & Text Mining"
] | [
74,
50,
3
] |
SCOPUS_ID:85119198400 | A Hybrid Ensemble Word Embedding based Classification Model for Multi-document Summarization Process on Large Multi-domain Document Sets | Contextual text feature extraction and classification play a vital role in the multi-document summarization process. Natural language processing (NLP) is one of the essential text mining tools which is used to preprocess and analyze the large document sets. Most of the conventional single document feature extraction me... | [
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Summarization",
"Text Generation",
"Text Classification",
"Information Extraction & Text Mining"
] | [
72,
24,
12,
30,
47,
36,
3
] |
http://arxiv.org/abs/cmp-lg/9802002v1 | A Hybrid Environment for Syntax-Semantic Tagging | The thesis describes the application of the relaxation labelling algorithm to NLP disambiguation. Language is modelled through context constraint inspired on Constraint Grammars. The constraints enable the use of a real value statind "compatibility". The technique is applied to POS tagging, Shallow Parsing and Word Sen... | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] |
SCOPUS_ID:84964746038 | A Hybrid Feature Selection Method for Vietnamese Text Classification | Text classification is a very important task due to the huge amount of electronic documents. One of the main challenges for text classification is the high dimensionality of feature spaces. There have been extensive studies on feature selections for English text classification. However, not many works have been studied... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85141877464 | A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis | The aim of investors is to obtain the maximum return when buying or selling stocks in the market. However, stock price shows non-linearity and non-stationarity and is difficult to accurately predict. To address this issue, a hybrid prediction model was formulated combining principal component analysis (PCA), empirical ... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
SCOPUS_ID:85066894660 | A Hybrid Framework for Detecting Non-basic Emotions in Text | The task of Emotion Detection from Text has received substantial attention in the recent years. Although most of the work in this field has been conducted considering only the basic set of six emotions, yet there are a number of applications wherein the importance of non-basic emotions (like interest, engagement, confu... | [
"Text Classification",
"Sentiment Analysis",
"Emotion Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
78,
61,
24,
3
] |
SCOPUS_ID:85061725353 | A Hybrid Framework for Sentiment Analysis Using Genetic Algorithm Based Feature Reduction | Due to the rapid development of Internet technologies and social media, sentiment analysis has become an important opinion mining technique. Recent research work has described the effectiveness of different sentiment classification techniques ranging from simple rule-based and lexicon-based approaches to more complex m... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85076995670 | A Hybrid Framework of Emotion-Aware Seq2Seq Model for Emotional Conversation Generation | This paper describes RUCIR’s system in NTCIR-14 Short Text Conversation (STC) Chinese Emotional Conversation Generation (CECG) subtask. In our system, we use the Attention-based Sequence-to-Sequence (Seq2Seq) method as our basic structure to generate emotional responses. This paper introduces (1) an emotion-aware Seq2S... | [
"Language Models",
"Semantic Text Processing",
"Dialogue Response Generation",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents"
] | [
52,
72,
14,
11,
47,
38
] |
SCOPUS_ID:85095115899 | A Hybrid Fuzzy System via Topic Model for Recommending Highlight Topics of CQA in Developer Communities | Question-Answering (QA) websites supply a quickly growing source of useful information in numerous areas. These platforms present novel opportunities for online users to supply solutions, they also pose numerous challenges with the ever-growing size of the QA community. QA sites supply platforms for users to cooperate ... | [
"Programming Languages in NLP",
"Topic Modeling",
"Question Answering",
"Multimodality",
"Natural Language Interfaces",
"Information Extraction & Text Mining"
] | [
55,
9,
27,
74,
11,
3
] |
SCOPUS_ID:85149939800 | A Hybrid Generative/Discriminative Model for Rapid Prototyping of Domain-Specific Named Entity Recognition | We propose PYHSCRF, a novel tagger for domain-specific named entity recognition that only requires a few seed terms, in addition to unannotated corpora, and thus permits the iterative and incremental design of named entity (NE) classes for new domains. The proposed model is a hybrid of a generative model named PYHSMM a... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85093102791 | A Hybrid Imbalanced Data Learning Framework to Tackle Opinion Imbalance in Movie Reviews | Opinion Mining is an important buzzword in recent times for research and industry for data science applications. Many concerns in opinion imbalance particularly in movie reviews were analyzed and handled for efficient recommendations. Opinion imbalance in terms of binary class, which often compromises the classifier pr... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85041340662 | A Hybrid Knowledge Mining Approach to Develop a System Framework for Odia Language Text Processing | Words are evolved and use for expression of man's inner feelings. Any language-spoken or written by human beings, use many words in sentences of language to expresses his feelings and emotions through sentences. To supplement our own mother tongue, we borrow such words from other languages. Odisha, which is a state in ... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
https://aclanthology.org//2022.case-1.4/ | A Hybrid Knowledge and Transformer-Based Model for Event Detection with Automatic Self-Attention Threshold, Layer and Head Selection | Event and argument role detection are frequently conceived as separate tasks. In this work we conceive both processes as one taskin a hybrid event detection approach. Its main component is based on automatic keyword extraction (AKE) using the self-attention mechanism of a BERT transformer model. As a bottleneck for AKE... | [
"Event Extraction",
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
31,
52,
72,
3
] |
SCOPUS_ID:85135023611 | A Hybrid Learning Approach for Text Classification Using Natural Language Processing | Text classification and categorization is a hot topic that involves assigning tags or categories to a text based on its content. It is one of the important tasks of automatic natural language processing (NLP) in many applications such as topic tagging, sentiment analysis, intent detection, spam filtering, and email rou... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
https://aclanthology.org//W18-3011/ | A Hybrid Learning Scheme for Chinese Word Embedding | To improve word embedding, subword information has been widely employed in state-of-the-art methods. These methods can be classified to either compositional or predictive models. In this paper, we propose a hybrid learning scheme, which integrates compositional and predictive model for word embedding. Such a scheme can... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85084639022 | A Hybrid Learning approach for Sentiment Classification in Telugu Language | Sentiment or Opinion Analysis is a subset of Natural Language Processing which is employed in wide range of business verticals to disentangle, analyze, distinguish and comprehend the general opinion of user reviews, comments, feedback, news, and so on. Humans generate close to 2.5 quintillion bytes of data each day on ... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85131769244 | A Hybrid Linguistic and Knowledge-Based Analysis Approach for Fake News Detection on Social Media | The rapid development of different social media and content-sharing platforms has been largely exploited to spread misinformation and fake news that make people believing in harmful stories, which allow to influence public opinion, and could cause panic and chaos among population. Thus, fake news detection has become a... | [
"Reasoning",
"Fact & Claim Verification",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
8,
46,
17,
4
] |
SCOPUS_ID:85125547433 | A Hybrid Machine Learning Approach for Sentiment Analysis of Beauty Products Reviews | Nowadays, social media platforms have become a mirror that imitates opinions and feelings about any specific product or event. These product reviews are capable of enhancing communication among entrepreneurs and their customers. These reviews need to be extracted and analyzed to predict the sentiment polarity, i.e., wh... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85114554678 | A Hybrid Machine Learning Approach for Sentiment Analysis of Partially Occluded Faces | With millions of images and videos uploaded on social media every day, facial sentiment analysis has gained significant attention as means of gaining large scale insights into people's emotions and sentiments. While several models have been proposed for sentiment and emotion analysis of complete, camera-facing pictures... | [
"Visual Data in NLP",
"Emotion Analysis",
"Multimodality",
"Sentiment Analysis"
] | [
20,
61,
74,
78
] |
SCOPUS_ID:85081049642 | A Hybrid Method Based on Particle Swarm Optimization for Restaurant Culinary Food Reviews | A review or opinion on culinary food restaurants carried out by consumers will produce information in the form of decision support for culinary food seekers who are looking for the best place to buy these foods. With the data in the form of review text obtained, the text mining based sentiment analysis model was obtain... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85143055939 | A Hybrid Method for Automatic Simplification of Japanese Sentence Patterns Based on Morphological Analysis and Grammatical Rules | In Japanese grammar, there are various Japanese sentence patterns with complicated usages. Learners of Japanese as a second language (JSL) feel that it is quite difficult to learn Japanese sentence patterns. To help JSL learners with their study of Japanese sentence patterns, this work introduces Japanese example sente... | [
"Paraphrasing",
"Syntactic Text Processing",
"Text Generation",
"Morphology"
] | [
32,
15,
47,
73
] |
SCOPUS_ID:85124700780 | A Hybrid Method for Fake News Detection using Cosine Similarity Scores | In this work, we propose a novel hybrid method for fake news detection. Two approaches have been used to assess the authenticity of the news using web-scrapped data. In the first approach the data is the pre-processed using NLP techniques like extraction of raw text, the removal of special-characters, white-spaces, and... | [
"Topic Modeling",
"Information Retrieval",
"Ethical NLP",
"Responsible & Trustworthy NLP",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
"Information Extraction & Text Mining"
] | [
9,
24,
17,
4,
8,
46,
36,
3
] |
SCOPUS_ID:84970046078 | A Hybrid Method of Domain Lexicon Construction for Opinion Targets Extraction Using Syntax and Semantics | Opinion targets extraction of Chinese microblogs plays an important role in opinion mining. There has been a significant progress in this area recently, especially the method based on conditional random field (CRF). However, this method only takes lexicon-related features into consideration and does not excavate the im... | [
"Representation Learning",
"Semantic Text Processing",
"Syntactic Text Processing",
"Information Extraction & Text Mining"
] | [
12,
72,
15,
3
] |
SCOPUS_ID:85122459783 | A Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm Detection | Sarcasm detection is considered one of the most challenging tasks in sentiment analysis and opinion mining applications in the social media. Sarcasm identification is therefore essential for a good public opinion decision. There are some studies on sarcasm detection that apply standard word2vec model and have shown gre... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning",
"Sentiment Analysis",
"Stylistic Analysis"
] | [
52,
72,
12,
78,
67
] |
SCOPUS_ID:85112063822 | A Hybrid Method of Multi-class SVM and Classification Method Based on Reliability Score for Autocoding of the Family Income and Expenditure Survey | The classification of text descriptions based on corresponding classes is an important task in official statistics. We developed a hybrid method of SVM utilizing Word2Vec and the previously developed reliability–score-based classifier to improve both the ability of high classification accuracy and generalization perfor... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85045235673 | A Hybrid Method to Sentiment Analysis for Chinese Microblog | In recent years, more and more netizens are willing to express their opinions on social media platforms. Sentiment analysis is effective and valuable to extract useful information out of massive text documents. In this paper, we proposed a hybrid approach to the sentiment analysis problem for Chinese microblog. This hy... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85142801722 | A Hybrid Methodology Based on CRISP-DM and TDSP for the Execution of Preprocessing Tasks in Mexican Environmental Laws | This article focuses on the one hand, on showing some techniques applied during the preprocessing of texts represented by environmental laws of Mexico. The need to carry out this type of analysis is due to several factors such as: the large number of existing legislative documents such as laws, programs, regulations, e... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85132411755 | A Hybrid Model Combined with SVM and CNN for Community Content Classification | Community websites bring many conveniences to people, and the classification of community content is playing an important role in website management and information searching. As the carrier of community content, posts are difficult to classify manually. According to the characteristics of community content, a hybrid c... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85124046761 | A Hybrid Model Combining Formulae with Keywords for Mathematical Information Retrieval | Formula retrieval is an important research topic in Mathematical Information Retrieval (MIR). Most studies have focused on formula comparison to determine the similarity between mathematical documents. However, two similar formulae may appear in entirely different knowledge domains and have different meanings. Based on... | [
"Semantic Text Processing",
"Term Extraction",
"Representation Learning",
"Reasoning",
"Numerical Reasoning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
1,
12,
8,
5,
24,
3
] |
SCOPUS_ID:85055856960 | A Hybrid Model Reuse Training Approach for Multilingual OCR | Nowadays, there is a great demand for multilingual optical character recognition (MOCR) in various web applications. And recently, Long Short-Term Memory (LSTM) networks have yielded excellent results on Latin-based printed recognition. However, it is not flexible enough to cope with challenges posed by web application... | [
"Multilinguality",
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Multimodality"
] | [
0,
20,
52,
72,
74
] |
SCOPUS_ID:85099589722 | A Hybrid Model for Container-code Detection | In this paper, we propose a container code detection algorithm that combines PSENet and CRNN in a manner that ensures that the obtained images are greatly affected by the other containers as well as text information in the picture. The proposed algorithm divided into three parts: object detection module, text detection... | [
"Programming Languages in NLP",
"Multimodality"
] | [
55,
74
] |
SCOPUS_ID:85103728105 | A Hybrid Model for Documents Representation | Text representation is a critical issue for exploring the insights behind the text. Many models have been developed to represent the text in defined forms such as numeric vectors where it would be easy to calculate the similarity between the documents using the well-known distance measures. In this paper, we aim to bui... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
http://arxiv.org/abs/1506.01171v1 | A Hybrid Model for Enhancing Lexical Statistical Machine Translation (SMT) | The interest in statistical machine translation systems increases currently due to political and social events in the world. A proposed Statistical Machine Translation (SMT) based model that can be used to translate a sentence from the source Language (English) to the target language (Arabic) automatically through effi... | [
"Machine Translation",
"Green & Sustainable NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
51,
68,
47,
4,
0
] |
SCOPUS_ID:84962535121 | A Hybrid Model for Experts Finding in Community Question Answering | As a means to share knowledge, the community question answering (CQA) service provides users a chance to obtain or provide help by raising or answering questions. After a question is posted, the system must find an appropriate individual to answer this question. Several approaches have recently been proposed to find ex... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:85103281811 | A Hybrid Model for Medical Paper Summarization Based on COVID-19 Open Research Dataset | Automatic generation of summarization or key phrase has been applied in a variety of domains, such as scientific papers and news. In response to the COVID-19 pandemic, the white house and some research groups have prepared the COVID-19 article dataset. To struggle against the COVID-19, the automatic summarization or ke... | [
"Language Models",
"Semantic Text Processing",
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
52,
72,
30,
47,
3
] |
SCOPUS_ID:85105759882 | A Hybrid Model for Named Entity Recognition on Chinese Electronic Medical Records | Electronic medical records (EMRs) contain valuable information about the patients, such as clinical symptoms, diagnostic results, and medications. Named entity recognition (NER) aims to recognize entities from unstructured text, which is the initial step toward the semantic understanding of the EMRs. Extracting medical... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85145006395 | A Hybrid Model for Spatio-Temporal Information Recognition in COVID-19 Trajectory Text | Since the outbreak of the COVID-19 epidemic at the end of 2019, the normalization of epidemic prevention and control has become one of the core tasks of the entire country. Health self-examination by checking the trajectory of diagnosed patients has gradually become everyone’s basic necessity and essential to epidemic ... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
http://arxiv.org/abs/2208.06961v1 | A Hybrid Model of Classification and Generation for Spatial Relation Extraction | Extracting spatial relations from texts is a fundamental task for natural language understanding and previous studies only regard it as a classification task, ignoring those spatial relations with null roles due to their poor information. To address the above issue, we first view spatial relation extraction as a genera... | [
"Relation Extraction",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
75,
24,
36,
3
] |
https://aclanthology.org//1991.iwpt-1.9/ | A Hybrid Model of Human Sentence Processing: Parsing Right-Branching, Center-Embedded and Cross-Serial Dependencies | A new cognitive architecture for the syntactic aspects of human sentence processing (called Unification Space) is tested against experimental data from human subjects. The data, originally collected by Bach, Brown and Marslen-Wilson (1986), concern the comprehensibility of verb dependency constructions in Dutch and Ger... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
SCOPUS_ID:85144565129 | A Hybrid Model of Latent Semantic Analysis with Graph-Based Text Summarization on Telugu Text | In this paper, we are proposing a hybrid model of latent semantic analysis with graph-based xtractive text summarization on Telugu text. Latent semantic analysis (LSA) is an unsupervised method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a corpus of text.... | [
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Summarization",
"Text Generation",
"Multimodality"
] | [
3,
50,
30,
47,
74
] |
SCOPUS_ID:85128863382 | A Hybrid Model of Query Expansion using Word2Vec | Query expansion method is one of the most popular methods to reduce the vocabulary mismatch in Information retrieval tasks. Traditional methods of query expansion that use Pseudo relevance feedback are not much efficient for document retrieval from a large collection of documents. In the proposed method we will try to ... | [
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning"
] | [
72,
24,
12
] |
http://arxiv.org/abs/1911.08117v1 | A Hybrid Morpheme-Word Representation for Machine Translation of Morphologically Rich Languages | We propose a language-independent approach for improving statistical machine translation for morphologically rich languages using a hybrid morpheme-word representation where the basic unit of translation is the morpheme, but word boundaries are respected at all stages of the translation process. Our model extends the c... | [
"Machine Translation",
"Semantic Text Processing",
"Morphology",
"Syntactic Text Processing",
"Representation Learning",
"Text Generation",
"Multilinguality"
] | [
51,
72,
73,
15,
12,
47,
0
] |
SCOPUS_ID:85136615700 | A Hybrid Multi-answer Summarization Model for the Biomedical Question-Answering System | In natural language processing problems, text summarization is a difficult problem and always attracts attention from the research community, especially working on biomedical text data which lacks supporting tools and techniques. In this scientific research report, we propose a multi-document summarization model for th... | [
"Question Answering",
"Summarization",
"Natural Language Interfaces",
"Text Generation",
"Information Extraction & Text Mining"
] | [
27,
30,
11,
47,
3
] |
SCOPUS_ID:85085377645 | A Hybrid Multilingual Fuzzy-Based Approach to the Sentiment Analysis Problem Using SentiWordNet | Sentiment Analysis or in particular social network analysis (SNA) is a new research area which is increased explosively. This domain has become a very active research issue in data mining and natural language processing. Sentiment analysis (opinion mining) consists in analyzing and extracting emotions, opinions or atti... | [
"Information Extraction & Text Mining",
"Opinion Mining",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Multilinguality"
] | [
3,
49,
36,
78,
24,
0
] |
http://arxiv.org/abs/2006.09213v2 | A Hybrid Natural Language Generation System Integrating Rules and Deep Learning Algorithms | This paper proposes an enhanced natural language generation system combining the merits of both rule-based approaches and modern deep learning algorithms, boosting its performance to the extent where the generated textual content is capable of exhibiting agile human-writing styles and the content logic of which is high... | [
"Text Generation"
] | [
47
] |
SCOPUS_ID:85097055947 | A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification | User intent classification is a vital component of a question-answering system or a task-based dialogue system. In order to understand the goals of users' questions or discourses, the system categorizes user text into a set of pre-defined user intent categories. User questions or discourses are usually short in length ... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Sentiment Analysis",
"Intent Recognition",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
78,
79,
11,
38,
36,
3
] |
https://aclanthology.org//D19-6002/ | A Hybrid Neural Network Model for Commonsense Reasoning | This paper proposes a hybrid neural network(HNN) model for commonsense reasoning. An HNN consists of two component models, a masked language model and a semantic similarity model, which share a BERTbased contextual encoder but use different model-specific input and output layers. HNN obtains new state-of-the-art result... | [
"Language Models",
"Semantic Text Processing",
"Commonsense Reasoning",
"Semantic Similarity",
"Reasoning"
] | [
52,
72,
62,
53,
8
] |
SCOPUS_ID:85047981382 | A Hybrid Optimization Framework Fusing Word- and Sentence-Level Information for Extractive Summarization | In order to fuse word-level and sentence-level information from different semantic spaces, the authors propose a hybrid optimization framework to optimize word-level information while simultaneously incorporate sentence-level information as constraints. The optimization is conducted by iterative unit substitutions. The... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85129500712 | A Hybrid Optimized Deep Learning Framework to Enhance Question Answering System | One of the challenging tasks in big data machine learning is the Question-Answering (QA) system. The QA system datasets have several question types: multiple-choice questions, yes or no queries, Wh questions, short questions, factoid questions, etc. Henceforth, training the data and classification of questions and answ... | [
"Text Classification",
"Question Answering",
"Natural Language Interfaces",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
27,
11,
24,
3
] |
http://arxiv.org/abs/1909.13568v1 | A Hybrid Persian Sentiment Analysis Framework: Integrating Dependency Grammar Based Rules and Deep Neural Networks | Social media hold valuable, vast and unstructured information on public opinion that can be utilized to improve products and services. The automatic analysis of such data, however, requires a deep understanding of natural language. Current sentiment analysis approaches are mainly based on word co-occurrence frequencies... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85133326965 | A Hybrid RNN based Deep Learning Approach for Text Classification | Despite the fact that text classification has grown in relevance over the last decade, there are a plethora of approaches that have been created to meet the difficulties related with text classification. To handle the complexities involved in the text classification process, the focus has shifted away from traditional ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/cmp-lg/9406014v1 | A Hybrid Reasoning Model for Indirect Answers | This paper presents our implemented computational model for interpreting and generating indirect answers to Yes-No questions. Its main features are 1) a discourse-plan-based approach to implicature, 2) a reversible architecture for generation and interpretation, 3) a hybrid reasoning model that employs both plan infere... | [
"Reasoning"
] | [
8
] |
SCOPUS_ID:85131100658 | A Hybrid Recommendation Integrating Semantic Learner Modelling and Sentiment Multi-Classification | Enhancing virtual learning platforms need to adapt new intelligent mechanisms so that long-term learner experience can be improved. Sentiment Analysis gives us perception on how a specific scientific material is suitable to be recommended to the learner. It depends on the feedback of a similar learner taking many facto... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
78,
24,
3
] |
SCOPUS_ID:85130186083 | A Hybrid Recommendation System of Upcoming Movies Using Sentiment Analysis of YouTube Trailer Reviews | Movies are one of the integral components of our everyday entertainment. In today’s world, people prefer to watch movies on their personal devices. Many movies are available on all popular Over the Top (OTT) platforms. Multiple new movies are released onto these platforms every day. The recommendation system is benefic... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85137331932 | A Hybrid Recommender Model based on Information Retrieval for Mexican Tourism Text in Rest-Mex 2022 | Nowadays, the tourism is a principal economic sector for the world due to the exportations are improved, the jobs number is enhanced and the economic is developed. In México, the tourism represents 8.7% of GDP and generates 4.5 million direct jobs, however this economic sector has been affected by COVID-19 pandemic. Fo... | [
"Information Retrieval"
] | [
24
] |
SCOPUS_ID:85128605329 | A Hybrid Relation Extraction Model for Knowledge Graph of Heroic Epic 'Gesar' | Extracting relations from unstructured text is the primary step of knowledge graph construction. This step is harder in the Tibetan heroic epic 'Epic Appreciation King Gesar' than in other Chinese stories because of the difficulties in the identification of the named entities and the complicated character relationships... | [
"Language Models",
"Semantic Text Processing",
"Relation Extraction",
"Structured Data in NLP",
"Knowledge Representation",
"Multimodality",
"Information Extraction & Text Mining"
] | [
52,
72,
75,
50,
18,
74,
3
] |
SCOPUS_ID:85097287637 | A Hybrid Representation of Word Images for Keyword Spotting | In the task of keyword spotting based on query-by-example, how to represent word images is a very important issue. Meanwhile, the problem of out-of-vocabulary (OOV) is frequently occurred in keyword spotting. Therefore, the problem of OOV keyword spotting is a challenging task. In this paper, a hybrid representation ap... | [
"Visual Data in NLP",
"Multimodality",
"Semantic Text Processing",
"Representation Learning"
] | [
20,
74,
72,
12
] |
SCOPUS_ID:85143975338 | A Hybrid Response Generation Model for an Empathetic Conversational Agent | Research on the use of conversational agents or chatbots to provide alternative and accessible mental health interventions has gained much interest in recent years. Designed to engage human users through natural and empathetic conversations, these chatbots have shown their potential applications in pre-emptive healthca... | [
"Dialogue Response Generation",
"Natural Language Interfaces",
"Ethical NLP",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
14,
11,
17,
47,
38,
24,
4
] |
http://arxiv.org/abs/1904.09068v2 | A Hybrid Retrieval-Generation Neural Conversation Model | Intelligent personal assistant systems that are able to have multi-turn conversations with human users are becoming increasingly popular. Most previous research has been focused on using either retrieval-based or generation-based methods to develop such systems. Retrieval-based methods have the advantage of returning f... | [
"Natural Language Interfaces",
"Information Retrieval",
"Dialogue Systems & Conversational Agents"
] | [
11,
24,
38
] |
SCOPUS_ID:85073904762 | A Hybrid Rules and Statistical Method for Arabic to English Machine Translation | Arabic is one of the six major world languages. It originated in the area currently known as the Arabian Peninsula. Arabic is the joint official language in Middle Eastern and African states. Large communities of Arabic speakers have existed outside of the Middle East since the end of the last century, particularly in ... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/1910.10363v2 | A Hybrid Semantic Parsing Approach for Tabular Data Analysis | This paper presents a novel approach to translating natural language questions to SQL queries for given tables, which meets three requirements as a real-world data analysis application: cross-domain, multilingualism and enabling quick-start. Our proposed approach consists of: (1) a novel data abstraction step before th... | [
"Programming Languages in NLP",
"Semantic Text Processing",
"Structured Data in NLP",
"Semantic Parsing",
"Multimodality"
] | [
55,
72,
50,
40,
74
] |
SCOPUS_ID:85089340098 | A Hybrid Semantic Representation with Internal and External Knowledge for Word Similarity | Word similarity (WS) plays an important role in natural language processing. Existing approaches to WS are mainly based on word embedding, which is obtained by massive and high-quality corpus, and they neglect insufficient corpus about some specific fields, and do not consider the prior knowledge which can provide usef... | [
"Knowledge Representation",
"Semantic Text Processing",
"Representation Learning"
] | [
18,
72,
12
] |
SCOPUS_ID:85097232634 | A Hybrid Semantic Similarity Measurement for Geospatial Entities | Semantic similarity plays a critical role in geospatial cognition, semantic interoperability, information integration and information retrieval and reasoning in geographic information science. Although some computational models for semantic similarity measurement have been proposed in literature, these models overlook ... | [
"Knowledge Representation",
"Semantic Text Processing",
"Semantic Similarity"
] | [
18,
72,
53
] |
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