id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
http://arxiv.org/abs/1902.01069v2 | A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization | We present SQLova, the first Natural-language-to-SQL (NL2SQL) model to achieve human performance in WikiSQL dataset. We revisit and discuss diverse popular methods in NL2SQL literature, take a full advantage of BERT {Devlin et al., 2018) through an effective table contextualization method, and coherently combine them, ... | [
"Language Models",
"Programming Languages in NLP",
"Semantic Text Processing",
"Structured Data in NLP",
"Multimodality"
] | [
52,
55,
72,
50,
74
] |
SCOPUS_ID:85127900323 | A Comprehensive Guideline for Bengali Sentiment Annotation | Sentiment Analysis (SA) is a Natural Language Processing (NLP) and an Information Extraction (IE) task that primarily aims to obtain the writer's feelings expressed in positive or negative by analyzing a large number of documents. SA is also widely studied in the fields of data mining, web mining, text mining, and info... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85090098766 | A Comprehensive Methodology for Evaluating Conversation-Based Interfaces to Relational Databases (C-BIRDs) | Evaluation can be defined as a process of determining the significance of a research output. This is usually done by devising a well-structured study on this output using one or more evaluation measures in which a careful inspection is performed. This paper presents a review of evaluation techniques for Conversational ... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85112759496 | A Comprehensive Neural Network Model for Colorization and Captioning of Images Along with IoT Deployment | The convergence of artificial neural networks and the internet of things (IoT) has gained popularity in the field of computer science research. In this work, an efficient neural network model for the image colorization problem is proposed along with deploying these models to the remote system using IoT deployment tools... | [
"Visual Data in NLP",
"Green & Sustainable NLP",
"Captioning",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
20,
68,
39,
47,
4,
74
] |
SCOPUS_ID:85086138147 | A Comprehensive Pipeline for Complex Text-to-Image Synthesis | Synthesizing a complex scene image with multiple objects and background according to text description is a challenging problem. It needs to solve several difficult tasks across the fields of natural language processing and computer vision. We model it as a combination of semantic entity recognition, object retrieval an... | [
"Visual Data in NLP",
"Information Retrieval",
"Multimodality"
] | [
20,
24,
74
] |
SCOPUS_ID:85127520490 | A Comprehensive Review of Arabic Text Summarization | The explosion of online and offline data has changed how we gather, evaluate, and understand data. It is frequently difficult and time-consuming to comprehend large text documents and extract crucial information from them. Text summarization techniques address the mentioned problems by compressing long texts while reta... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85123590146 | A Comprehensive Review of Investor Sentiment Analysis in Stock Price Forecasting | Sentiment analysis technologies have a strong impact on financial markets. In recent years there has been increasing interest in analyzing the sentiment of investors. The objective of this paper is to evaluate the current state of the art and synthesize the published literature related to the financial sentiment analys... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85132039681 | A Comprehensive Review of Stock Price Prediction Using | Purpose.In various studies, the sentiment analysis identifies as an essential part of stock price behaviorprediction. The availability of news, social media networks,and the rapid development of natural language processing methods resulted in better forecasting performance. However, there is a lack of a comprehensive f... | [
"Sentiment Analysis"
] | [
78
] |
http://arxiv.org/abs/2207.02160v1 | A Comprehensive Review of Visual-Textual Sentiment Analysis from Social Media Networks | Social media networks have become a significant aspect of people's lives, serving as a platform for their ideas, opinions and emotions. Consequently, automated sentiment analysis (SA) is critical for recognising people's feelings in ways that other information sources cannot. The analysis of these feelings revealed var... | [
"Visual Data in NLP",
"Sentiment Analysis",
"Multimodality"
] | [
20,
78,
74
] |
http://arxiv.org/abs/2103.14785v3 | A Comprehensive Review of the Video-to-Text Problem | Research in the Vision and Language area encompasses challenging topics that seek to connect visual and textual information. When the visual information is related to videos, this takes us into Video-Text Research, which includes several challenging tasks such as video question answering, video summarization with natur... | [
"Visual Data in NLP",
"Captioning",
"Text Generation",
"Information Retrieval",
"Multimodality"
] | [
20,
39,
47,
24,
74
] |
SCOPUS_ID:85135848496 | A Comprehensive Review on Automatic Image Captioning Using Deep Learning | Image captioning is the process of producing the sentence description from an image. It consists of two approaches: image based and language based. Extracting the features of an input image is image-based model. The feature and objects obtained from image-based model are translated into a natural sentence by language-b... | [
"Visual Data in NLP",
"Captioning",
"Text Generation",
"Multimodality"
] | [
20,
39,
47,
74
] |
SCOPUS_ID:85120045642 | A Comprehensive Review on Fake News Detection with Deep Learning | A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news. It is quite thought-provoking to distinguish fake information on the internet as it is often written to deceive users. Compared with many machine learn... | [
"Reasoning",
"Fact & Claim Verification",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
8,
46,
17,
4
] |
SCOPUS_ID:85149665064 | A Comprehensive Review on Image Captioning Using Deep Learning | Our brain is capable of annotating or classifying any image that emerges in front of us. What about computers, though? How can a computer process an image and identify it with a caption that is both relevant and accurate? It appeared unachievable a few years ago, but with the advancement of Computer Vision and Deep Lea... | [
"Visual Data in NLP",
"Captioning",
"Text Generation",
"Multimodality"
] | [
20,
39,
47,
74
] |
http://arxiv.org/abs/2011.14752v1 | A Comprehensive Review on Recent Methods and Challenges of Video Description | Video description involves the generation of the natural language description of actions, events, and objects in the video. There are various applications of video description by filling the gap between languages and vision for visually impaired people, generating automatic title suggestion based on content, browsing o... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85145773557 | A Comprehensive Review on Speaker Recognition | Speech is the most natural mode of human communication. In addition to the exchange of thoughts and ideas, speech is considered to be useful for extracting a lot of other information like language identity, gender, age, emotion, and cognitive behavior. It is also known to contain speaker identity information besides ot... | [
"Multimodality",
"Speech & Audio in NLP",
"Information Extraction & Text Mining"
] | [
74,
70,
3
] |
http://arxiv.org/abs/2109.10118v1 | A Comprehensive Review on Summarizing Financial News Using Deep Learning | Investors make investment decisions depending on several factors such as fundamental analysis, technical analysis, and quantitative analysis. Another factor on which investors can make investment decisions is through sentiment analysis of news headlines, the sole purpose of this study. Natural Language Processing techn... | [
"Semantic Text Processing",
"Representation Learning",
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
72,
12,
30,
47,
3
] |
SCOPUS_ID:85119015084 | A Comprehensive Review on Text to Indian Sign Language Translation Systems | Language is the primary means of communication used by every individual. It is a tool to express greater ideas of ideas and emotions. It shapes thoughts and carries meanings. Indian Sign Language (ISL) used by the Deaf Community in India, does have linguistic constituents and structural properties. The area of computer... | [
"Text Generation",
"Machine Translation",
"Syntactic Text Processing",
"Multilinguality"
] | [
47,
51,
15,
0
] |
SCOPUS_ID:85126431218 | A Comprehensive Study and Detailed Review on Hate Speech Classification : A Systematic Analysis | Hate speech is about making insults, threats, or stereotypes towards people or a group of people because of its characteristics such as origin, race, gender, religion, disabilities, and more. Modern society uses social networking websites for sharing thoughts and emotions. However, sometimes it can lead to hate speech.... | [
"Text Classification",
"Ethical NLP",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
17,
4,
24,
3
] |
http://arxiv.org/abs/1606.06871v2 | A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition | We present a comprehensive study of deep bidirectional long short-term memory (LSTM) recurrent neural network (RNN) based acoustic models for automatic speech recognition (ASR). We study the effect of size and depth and train models of up to 8 layers. We investigate the training aspect and study different variants of o... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
http://arxiv.org/abs/2212.12799v1 | A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models | Objective. Chemical named entity recognition (NER) models have the potential to impact a wide range of downstream tasks, from identifying adverse drug reactions to general pharmacoepidemiology. However, it is unknown whether these models work the same for everyone. Performance disparities can potentially cause harm rat... | [
"Responsible & Trustworthy NLP",
"Named Entity Recognition",
"Ethical NLP",
"Information Extraction & Text Mining"
] | [
4,
34,
17,
3
] |
SCOPUS_ID:85111347104 | A Comprehensive Study of Machine Translation Tools and Evaluation Metrics | In this article, the ideas of statistical and neural machine translation approaches were explored. Various machine translation tools and machine translation evaluation metrics were also investigated. Nowadays, machine translation plays a key role in the society where different languages are spoken as it removes the lan... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85136206191 | A Comprehensive Study of Optical Character Recognition | In recent decades recognition of characters has become a most important research topic for computer vision researchers or scientists. One of the major techniques for character recognition is optical character recognition (OCR) which plays a vital role in recent years in the development of various methodologies for the ... | [
"Visual Data in NLP",
"Machine Translation",
"Multimodality",
"Text Generation",
"Multilinguality"
] | [
20,
51,
74,
47,
0
] |
SCOPUS_ID:85131120411 | A Comprehensive Study of Open-Source Libraries for Named Entity Recognition on Handwritten Historical Documents | In this paper, we propose an evaluation of several state-of-the-art open-source natural language processing (NLP) libraries for named entity recognition (NER) on handwritten historical documents: spaCy, Stanza and Flair. The comparison is carried out on three low-resource multilingual datasets of handwritten historical... | [
"Multilinguality",
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Named Entity Recognition",
"Responsible & Trustworthy NLP"
] | [
0,
80,
3,
34,
4
] |
http://arxiv.org/abs/2303.08302v2 | A Comprehensive Study on Post-Training Quantization for Large Language Models | Post-training quantization (\ptq) had been recently shown as a compromising method to reduce memory consumption and/or compute cost for large language models. However, a comprehensive study about the effect of different quantization schemes, different model families, different \ptq methods, different quantization bit p... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85132339575 | A Comprehensive Survey for Non-Intrusive Load Monitoring | Energy-saving and efficiency are as important as benefiting from new energy sources to supply increasing energy demand globally. Energy demand and resources for energy saving should be managed effectively. Therefore, electrical loads need to be monitored and controlled. Demand-side energy management plays a vital role ... | [
"Event Extraction",
"Information Extraction & Text Mining"
] | [
31,
3
] |
http://arxiv.org/abs/2303.04226v1 | A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT | Recently, ChatGPT, along with DALL-E-2 and Codex,has been gaining significant attention from society. As a result, many individuals have become interested in related resources and are seeking to uncover the background and secrets behind its impressive performance. In fact, ChatGPT and other Generative AI (GAI) techniqu... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Multimodality"
] | [
20,
52,
72,
11,
38,
74
] |
SCOPUS_ID:85122074392 | A Comprehensive Survey of Grammatical Error Correction | Grammatical error correction (GEC) is an important application aspect of natural language processing techniques, and GEC system is a kind of very important intelligent system that has long been explored both in academic and industrial communities. The past decade has witnessed significant progress achieved in GEC for t... | [
"Text Error Correction",
"Machine Translation",
"Syntactic Text Processing",
"Text Generation",
"Multilinguality"
] | [
26,
51,
15,
47,
0
] |
http://arxiv.org/abs/2001.01115v2 | A Comprehensive Survey of Multilingual Neural Machine Translation | We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in the recent years. MNMT has been useful in improving translation quality as a result of translation knowledge transfer (transfer learning). MNMT is more promising and interesting than its statistical machine tran... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/2208.05757v1 | A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception | In recent years there has been substantial growth in the capabilities of systems designed to generate text that mimics the fluency and coherence of human language. From this, there has been considerable research aimed at examining the potential uses of these natural language generators (NLG) towards a wide number of ta... | [
"Text Generation"
] | [
47
] |
SCOPUS_ID:85125292362 | A Comprehensive Survey of Sentiment Analysis Based on User Opinion | In this modern era online shopping is getting a lot of attention. Thousands of reviews are available from the customers on different social media platforms which makes it difficult for the user to make a purchasing decision. For a better understanding of user opinion, sentiment analysis (also known as opinion mining) h... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
http://arxiv.org/abs/2006.04611v1 | A Comprehensive Survey on Aspect Based Sentiment Analysis | Aspect Based Sentiment Analysis (ABSA) is the sub-field of Natural Language Processing that deals with essentially splitting our data into aspects ad finally extracting the sentiment information. ABSA is known to provide more information about the context than general sentiment analysis. In this study, our aim is to ex... | [
"Aspect-based Sentiment Analysis",
"Sentiment Analysis"
] | [
23,
78
] |
http://arxiv.org/abs/1607.06215v1 | A Comprehensive Survey on Cross-modal Retrieval | In recent years, cross-modal retrieval has drawn much attention due to the rapid growth of multimodal data. It takes one type of data as the query to retrieve relevant data of another type. For example, a user can use a text to retrieve relevant pictures or videos. Since the query and its retrieved results can be of di... | [
"Multimodality",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning"
] | [
74,
72,
24,
12
] |
SCOPUS_ID:85064552109 | A Comprehensive Survey on Extractive and Abstractive Techniques for Text Summarization | Over the years as the technology advanced, the amount of data generated during the simulations and processing has been constantly increasing. Techniques for creating synopses of this massively generated data have been in the forefront of the research in the recent times. Text Summarization was one such aspect of the re... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
http://arxiv.org/abs/2212.04072v1 | A Comprehensive Survey on Multi-hop Machine Reading Comprehension Approaches | Machine reading comprehension (MRC) is a long-standing topic in natural language processing (NLP). The MRC task aims to answer a question based on the given context. Recently studies focus on multi-hop MRC which is a more challenging extension of MRC, which to answer a question some disjoint pieces of information acros... | [
"Reasoning",
"Machine Reading Comprehension"
] | [
8,
37
] |
http://arxiv.org/abs/2212.04070v1 | A Comprehensive Survey on Multi-hop Machine Reading Comprehension Datasets and Metrics | Multi-hop Machine reading comprehension is a challenging task with aim of answering a question based on disjoint pieces of information across the different passages. The evaluation metrics and datasets are a vital part of multi-hop MRC because it is not possible to train and evaluate models without them, also, the prop... | [
"Reasoning",
"Machine Reading Comprehension"
] | [
8,
37
] |
SCOPUS_ID:85134571192 | A Comprehensive Survey on Multilingual Opinion Mining | In a current scenario use of multimedia, gadgets have increased the usage of social websites and the Internet. Twitter, Facebook, Instagram, Telegram, and WhatsApp are the generally used platforms in the Internet community. Sharing reviews, feedbacks, and personal experiences are the most common task on social media. S... | [
"Opinion Mining",
"Sentiment Analysis",
"Multilinguality"
] | [
49,
78,
0
] |
http://arxiv.org/abs/2302.09419v1 | A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT | The Pretrained Foundation Models (PFMs) are regarded as the foundation for various downstream tasks with different data modalities. A pretrained foundation model, such as BERT, GPT-3, MAE, DALLE-E, and ChatGPT, is trained on large-scale data which provides a reasonable parameter initialization for a wide range of downs... | [
"Language Models",
"Semantic Text Processing",
"Structured Data in NLP",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Multimodality"
] | [
52,
72,
50,
11,
38,
74
] |
SCOPUS_ID:85131329543 | A Comprehensive Survey on Sentiment Analysis in Twitter Data | The literature scrutinizes diverse techniques that are associated with sentiment analysis in Twitter data. It reviews several research papers and states the significant analysis. Initially, the analysis depicts various schemes that are contributed in different papers. Subsequently, the analysis also focuses on various ... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85126178749 | A Comprehensive Survey on Topic Modeling in Text Summarization | Topic modeling is the statistical model for discovering hidden topics or keywords in a collection of documents. Topic modeling is also considered a probabilistic model for learning, analyzing, and discovering topics from the document collection. The most popular techniques for topic modeling are latent semantic analysi... | [
"Summarization",
"Topic Modeling",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
9,
47,
3
] |
SCOPUS_ID:85131039216 | A Comprehensive Survey on Various Fully Automatic Machine Translation Evaluation Metrics | The fast advancement in machine translation models necessitates the development of accurate evaluation metrics that would allow researchers to track the progress in text languages. The evaluation of machine translation models is crucial since its results are exploited for improvements of translation models. However ful... | [
"Text Generation",
"Machine Translation",
"Syntactic Text Processing",
"Multilinguality"
] | [
47,
51,
15,
0
] |
SCOPUS_ID:85141383195 | A Comprehensive Survey on Visual Question Answering Debias | With the rise of multi-modal computing, visual question answering (VQA) have attracted wide attention. It takes an image and a question as input, the VQA system can answer the question according to the given image. However, most of models suffer from language prior problem, they excessively rely on superficial linguist... | [
"Visual Data in NLP",
"Question Answering",
"Robustness in NLP",
"Natural Language Interfaces",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
20,
27,
58,
11,
4,
74
] |
http://arxiv.org/abs/2010.15036v1 | A Comprehensive Survey on Word Representation Models: From Classical to State-Of-The-Art Word Representation Language Models | Word representation has always been an important research area in the history of natural language processing (NLP). Understanding such complex text data is imperative, given that it is rich in information and can be used widely across various applications. In this survey, we explore different word representation models... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] | [
52,
72,
12
] |
SCOPUS_ID:85115874355 | A Comprehensive Survey on Word Representation Models: From Classical to State-of-the-Art Word Representation Language Models | Word representation has always been an important research area in the history of natural language processing (NLP). Understanding such complex text data is imperative, given that it is rich in information and can be used widely across various applications. In this survey, we explore different word representation models... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] | [
52,
72,
12
] |
http://arxiv.org/abs/2204.12753v1 | A Comprehensive Understanding of Code-mixed Language Semantics using Hierarchical Transformer | Being a popular mode of text-based communication in multilingual communities, code-mixing in online social media has became an important subject to study. Learning the semantics and morphology of code-mixed language remains a key challenge, due to scarcity of data and unavailability of robust and language-invariant rep... | [
"Representation Learning",
"Language Models",
"Semantic Text Processing",
"Multilinguality"
] | [
12,
52,
72,
0
] |
SCOPUS_ID:85148048433 | A Comprehensive Understanding of Text Region Identification and Localization in Scene Imagery Using DL Practices | Semantic interpretation of scene images in our surroundings is an intriguing research domain in the realm of machine vision and pattern recognition. One of the most demanding tasks in this discipline is identifying and localizing textual information in scene images. Deep learning-based algorithms have improved the accu... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Multimodality"
] | [
20,
3,
74
] |
SCOPUS_ID:85075756669 | A Comprehensive Verification of Transformer in Text Classification | Recently, a self-attention based model, named Transformer, is proposed in Neural Machine Translation (NMT) domain, and outperforms the RNNs based seq 2seq model in most cases, hence it becomes the state-of-the-art model for NMT task. However, some studies find that the RNNs based model integrated with the Transformer s... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Text Generation",
"Text Classification",
"Multilinguality"
] | [
52,
51,
72,
24,
3,
47,
36,
0
] |
SCOPUS_ID:85138073291 | A Comprehensive and Holistic Health Database | Health and the initiation, progression, and outcome of disease are the result of multiple environmental factors interacting with individual genetic makeups. Collectively, results from primary clinical research on health and disease represent the most compendious and reliable source of actionable knowledge on strategies... | [
"Knowledge Representation",
"Structured Data in NLP",
"Semantic Text Processing",
"Multimodality"
] | [
18,
50,
72,
74
] |
http://arxiv.org/abs/2205.05974v1 | A Computational Acquisition Model for Multimodal Word Categorization | Recent advances in self-supervised modeling of text and images open new opportunities for computational models of child language acquisition, which is believed to rely heavily on cross-modal signals. However, prior studies have been limited by their reliance on vision models trained on large image datasets annotated wi... | [
"Visual Data in NLP",
"Text Classification",
"Multimodality",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
20,
36,
74,
24,
3
] |
https://aclanthology.org//W15-0507/ | A Computational Approach for Generating Toulmin Model Argumentation | [
"Argument Mining",
"Reasoning"
] | [
60,
8
] | |
SCOPUS_ID:85118186003 | A Computational Approach for Predicting Individuals' Response Patterns in Human Syllogistic Reasoning | One challenge within cognitive psychology on human reasoning is modeling a wide range of tasks within a certain theory. Recently, a meta-study on human syllogistic reasoning has shown that none of the established theories seemed to adequately match the human data. Possible reasons for this sobering result could be that... | [
"Cognitive Modeling",
"Linguistic Theories",
"Text Clustering",
"Linguistics & Cognitive NLP",
"Reasoning",
"Information Extraction & Text Mining"
] | [
2,
57,
29,
48,
8,
3
] |
https://aclanthology.org//W99-0906/ | A Computational Approach to Deciphering Unknown Scripts | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP"
] | [
80,
4
] | |
SCOPUS_ID:84962643302 | A Computational Cognitive Model Integrating Different Emotion Regulation Strategies | In this paper a cognitive model is introduced which integrates a model for emotion generation with models for three different emotion regulation strategies. Given a stressful situation, humans often apply multiple emotion regulation strategies. The presented computational model has been designed based on principles fro... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
2,
48,
57
] |
SCOPUS_ID:85034263574 | A Computational Cognitive Model of Self-monitoring and Decision Making for Desire Regulation | Desire regulation can make use of different regulation strategies; this implies an underlying decision making process, which makes use of some form of self-monitoring. The aim of this work is to develop a neurologically inspired computational cognitive model of desire regulation and these underlying self-monitoring and... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
SCOPUS_ID:85078399493 | A Computational Framework Towards Medical Image Explanation | In this paper, a unified computational framework towards medical image explanation is proposed to promote the ability of computers on understanding and interpreting medical images. Four complementary modules are included, such as the construction of Medical Image-Text Joint Embedding (MITE) based on large-scale medical... | [
"Visual Data in NLP",
"Semantic Text Processing",
"Captioning",
"Representation Learning",
"Explainability & Interpretability in NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
20,
72,
39,
12,
81,
47,
4,
74
] |
SCOPUS_ID:85118937385 | A Computational Framework to Analyze the Associations between Symptoms and Cancer Patient Attributes Post Chemotherapy Using EHR Data | Patients with cancer, such as breast and colorectal cancer, often experience different symptoms post-chemotherapy. The symptoms could be fatigue, gastrointestinal (nausea, vomiting, lack of appetite), psychoneurological symptoms (depressive symptoms, anxiety), or other types. Previous research focused on understanding ... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
SCOPUS_ID:85133733678 | A Computational Literature Analysis of Conversational AI Research with a Focus on the Coaching Domain | We conduct a computational analysis of the literature on Conversational AI. We identify the trend based on all publications until the year 2020. We then concentrate on the publications for the last five years between 2016 and 2020 to find out the top ten venues and top three journals where research on Conversational AI... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85135925667 | A Computational Measure for the Semantic Readability of Segmented Texts | In this paper we introduce a computational procedure for measuring the semantic readability of a segmented text. The procedure mainly consists of three steps. First, natural language processing tools and unsupervised machine learning techniques are adopted in order to obtain a vectorized numerical representation for an... | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP"
] | [
80,
4
] |
SCOPUS_ID:85077788831 | A Computational Model for Managing Impressions of an Embodied Conversational Agent in Real-Time | This paper presents a computational model for managing an Embodied Conversational Agent's first impressions of warmth and competence towards the user. These impressions are important to manage because they can impact users' perception of the agent and their willingness to continue the interaction with the agent. The mo... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85139522085 | A Computational Model of General Rule Learning with Unnatural Classes | This paper presents the results of a computational model of generalized phonological rule learning (Calamaro and Jarosz, 2012), which is used to model experimental studies on the learning of phonotactic patterns governed by natural and unnatural classes. I focus on two papers with conflicting results on the learnabilit... | [
"Phonology",
"Syntactic Text Processing"
] | [
6,
15
] |
http://arxiv.org/abs/cmp-lg/9406029v1 | A Computational Model of Syntactic Processing: Ambiguity Resolution from Interpretation | Syntactic ambiguity abounds in natural language, yet humans have no difficulty coping with it. In fact, the process of ambiguity resolution is almost always unconscious. But it is not infallible, however, as example 1 demonstrates. 1. The horse raced past the barn fell. This sentence is perfectly grammatical, as is... | [
"Explainability & Interpretability in NLP",
"Syntactic Text Processing",
"Responsible & Trustworthy NLP"
] | [
81,
15,
4
] |
http://arxiv.org/abs/0812.3070v1 | A Computational Model to Disentangle Semantic Information Embedded in Word Association Norms | Two well-known databases of semantic relationships between pairs of words used in psycholinguistics, feature-based and association-based, are studied as complex networks. We propose an algorithm to disentangle feature based relationships from free association semantic networks. The algorithm uses the rich topology of t... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85137921188 | A Computational Neural Network Model for College English Grammar Correction | For the error correction of English grammar, if there are errors in the semantic units (words and sentences), it will inevitably affect the subsequent text analysis and semantic understanding, and ultimately reduce the overall performance of the practical application system. Therefore, intelligent error detection and c... | [
"Text Error Correction",
"Syntactic Text Processing"
] | [
26,
15
] |
https://aclanthology.org//W15-2408/ | A Computational Study of Cross-situational Lexical Learning of Brazilian Portuguese | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] | |
SCOPUS_ID:85139590986 | A Computational System of Psycholinguistic Fuzzy Inference Under Uncertainty | The modern intelligent systems of the Narrow Artificial Intelligence (NAI) cannot independently and continuously think, reason, cognize, and carry out a Logical Inference, based on these computational reasonable functions under: a) uncertainty, b) time changing of the situations and objects of surrounding environment, ... | [
"Reasoning",
"Psycholinguistics",
"Linguistics & Cognitive NLP"
] | [
8,
77,
48
] |
SCOPUS_ID:85084048189 | A Computational Theory for the Emergence of Grammatical Categories in Cortical Dynamics | A general agreement in psycholinguistics claims that syntax and meaning are unified precisely and very quickly during online sentence processing. Although several theories have advanced arguments regarding the neurocomputational bases of this phenomenon, we argue that these theories could potentially benefit by includi... | [
"Linguistics & Cognitive NLP",
"Psycholinguistics",
"Linguistic Theories"
] | [
48,
77,
57
] |
SCOPUS_ID:34248837594 | A Computational Treatment of Stress in Greek Inflected Forms | This paper deals with the treatment of stress in Greek inflectional morphology. First, a morphological processor is presented which is built on the basis of a linguistic analysis of Greek inflected forms. This is followed by a discussion of how stress applies to words and how stress shift phenomena are taken into accou... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
SCOPUS_ID:84997272165 | A Computational and Inferential Method for Analyzing the Semantics of Phrase and Sentence in Vietnamese Question Answering System Model (VietQASM) | Based on the Reading Answering System (RAS) in S. T. Pham and D. T. Nguyen (2013), this paper aims to present a novel computational and inferential method for computing the semantics of phrase and sentence in Vietnamese in order to build the textual knowledge base of Vietnamese Question Answering System Model (VietQASM... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:85057375508 | A Computational model for child inferences of word meanings via syntactic categories for different ages and languages | Children exploit their morphosyntactic knowledge in order to infer the meanings of words. A recent behavioral study has reported developmental changes in word learning from three to five years of age, with respect to a child's native language. To understand the computational basis of this phenomenon, we propose a model... | [
"Visual Data in NLP",
"Syntactic Text Processing",
"Multimodality"
] | [
20,
15,
74
] |
SCOPUS_ID:85146390412 | A Computational-Augmented Critical Discourse Analysis of Tweets on the Saudi General Entertainment Authority Activities | This study used both computational tools in the form of a machine learning predictive model (Support Vector Machine) and a critical discourse analysis model (Van Dijk’s ideological square model) (Van Dijk, 1993, 2008, 2009) to fulfill three objectives: (1) clustering the Saudis’ Twitter-based opinions and sentiments re... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
71,
72,
3,
29
] |
SCOPUS_ID:85123994648 | A Computer-Assisted Writing Tool for an Extended Variety of Leichte Sprache (Easy-to-Read German) | Leichte Sprache (LS; easy-to-read German) defines a variety of German characterized by simplified syntactic constructions and a small vocabulary. It provides barrier-free information for a wide spectrum of people with cognitive impairments, learning difficulties, and/or a low level of literacy in the German language. T... | [
"Text Generation",
"Paraphrasing",
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
47,
32,
28,
15
] |
http://arxiv.org/abs/2301.00503v3 | A Concept Knowledge Graph for User Next Intent Prediction at Alipay | This paper illustrates the technologies of user next intent prediction with a concept knowledge graph. The system has been deployed on the Web at Alipay, serving more than 100 million daily active users. To explicitly characterize user intent, we propose AlipayKG, which is an offline concept knowledge graph in the Life... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Intent Recognition",
"Sentiment Analysis",
"Multimodality"
] | [
72,
50,
18,
79,
78,
74
] |
http://arxiv.org/abs/1807.02226v3 | A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation | Rule-based machine translation is more data efficient than the big data-based machine translation approaches, making it appropriate for languages with low bilingual corpus resources -- i.e., minority languages. However, the rule-based approach has declined in popularity relative to its big data cousins primarily becaus... | [
"Machine Translation",
"Semantic Text Processing",
"Representation Learning",
"Text Generation",
"Multilinguality"
] | [
51,
72,
12,
47,
0
] |
SCOPUS_ID:85015198575 | A Concept-Based Integer Linear Programming Approach for Single-Document Summarization | Automatic single-document summarization is a process that receives a single input document and outputs a condensed version with only the most relevant information. This paper proposes an unsupervised concept-based approach for singledocument summarization using Integer Linear Programming (ILP). Such an approach maximiz... | [
"Programming Languages in NLP",
"Information Extraction & Text Mining",
"Summarization",
"Text Generation",
"Multimodality"
] | [
55,
3,
30,
47,
74
] |
SCOPUS_ID:84884310190 | A Concept-based Approach for Indexing Documents in IR | This paper addresses two important problems related to the use of semantics in IR. The first one concerns the representation of document semantics and its proper use in retrieval. The second is the integration of semantic-based retrieval with traditional keywords-based retrieval. The proposed approach aims to represent... | [
"Indexing",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning"
] | [
69,
72,
24,
12
] |
SCOPUS_ID:84868693927 | A ConceptLink graph for text structure mining | Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector representing the occurrence of independent words in the text corpus. It is well known that using this vector-based representation, important i... | [
"Multimodality",
"Structured Data in NLP",
"Semantic Text Processing",
"Representation Learning"
] | [
74,
50,
72,
12
] |
SCOPUS_ID:85097501412 | A Conceptual Data Modelling Framework for Context-Aware Text Classification | Data analytics has an interesting variant that aims to understand an entity’s behavior. It is termed as diagnostic analytics, which answers “why type questions”. “Why type questions” find their applications in emotion classification, brand analysis, drug review modeling, customer complaints classification etc. Labeled ... | [
"Topic Modeling",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
9,
36,
78,
24,
3
] |
SCOPUS_ID:85118979205 | A Conceptual Enhancement of LSTM Using Knowledge Distillation for Hate Speech Detection | Hate speech is by no means always on the rise due to the high rate of remote service usage such as communication, online studies, meeting, dating, etc. With the recent outbreak of COVID-19, there has been an increase in the number of users on different social media platforms. This increase in number has brought about a... | [
"Language Models",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
52,
72,
68,
17,
4
] |
https://aclanthology.org//W14-2625/ | A Conceptual Framework for Inferring Implicatures | [
"Sentiment Analysis"
] | [
78
] | |
SCOPUS_ID:85112348865 | A Conceptual Framework for Malay-English Mixed-language Question Answering System | Mixed language has turned into a current trend of language which refers to combining two or more languages either in spoken or written form. It has been widely used in social media forums to improve communication and for a greater range of expression. The current question answering (QA) system only supports monolingual... | [
"Machine Translation",
"Information Retrieval",
"Information Extraction & Text Mining",
"Code-Switching",
"Text Normalization",
"Question Answering",
"Syntactic Text Processing",
"Natural Language Interfaces",
"Text Generation",
"Text Classification",
"Multilinguality"
] | [
51,
24,
3,
7,
59,
27,
15,
11,
47,
36,
0
] |
SCOPUS_ID:84962209956 | A Conceptual Framework of E-Commerce Supervision System Based on Opinion Mining | The Internet significantly reshapes traditional commerce mode, making online business ubiquitous and indispensable. Others' opinions are influential when we make a decision, which is complicated by tremendous and misleading information. According to opinion mining techniques, we propose a novel conceptual framework whi... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
SCOPUS_ID:85113365946 | A Conceptual Model for real-time Binaural-Room Impulse Responses generation using ANNs in Virtual Environments: State of the Art | This work aims to give an overview of Artificial Neural Networks (ANN) approaches applied for BIRs generation published in the literature and to expose gaps in the academic research. The literature review shows that several successful studies are using ANNs approaches for BIRs generation with a reduction in the computa... | [
"Dialogue Response Generation",
"Text Generation"
] | [
14,
47
] |
http://arxiv.org/abs/cmp-lg/9605025v1 | A Conceptual Reasoning Approach to Textual Ellipsis | We present a hybrid text understanding methodology for the resolution of textual ellipsis. It integrates conceptual criteria (based on the well-formedness and conceptual strength of role chains in a terminological knowledge base) and functional constraints reflecting the utterances' information structure (based on the ... | [
"Reasoning"
] | [
8
] |
http://arxiv.org/abs/1906.12035v2 | A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder | Multi-criteria Chinese word segmentation (MCCWS) aims to exploit the relations among the multiple heterogeneous segmentation criteria and further improve the performance of each single criterion. Previous work usually regards MCCWS as different tasks, which are learned together under the multi-task learning framework. ... | [
"Language Models",
"Text Segmentation",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
52,
21,
72,
15
] |
http://arxiv.org/abs/1108.1966v1 | A Concise Query Language with Search and Transform Operations for Corpora with Multiple Levels of Annotation | The usefulness of annotated corpora is greatly increased if there is an associated tool that can allow various kinds of operations to be performed in a simple way. Different kinds of annotation frameworks and many query languages for them have been proposed, including some to deal with multiple layers of annotation. We... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval"
] | [
52,
72,
24
] |
SCOPUS_ID:85130323481 | A Concise Review on Automatic Text Summarization | Today, data is the most important thing humanity needs, thus understanding the linguistics of such a large data is not practically possible so, text summarization is introduced as the problem in natural language processing (NLP). Text summarization is the technique to convert long text corpus such that the semantics of... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85137804789 | A Concurrent Intelligent Natural Language Understanding Model for an Automated Inquiry System | The work is intended to tackle a vital field that lies at the intersection of speech processing and natural language processing: Spoken Language Understanding (SLU). Its idea is to understand the essence of machine-directed human speech in order to facilitate its further processing and take on board its cognitive impac... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Semantic Parsing",
"Speech & Audio in NLP",
"Sentiment Analysis",
"Intent Recognition",
"Multimodality",
"Natural Language Interfaces",
"Dialogue Systems & Conve... | [
52,
80,
72,
24,
3,
40,
70,
78,
79,
74,
11,
38,
36,
4
] |
http://arxiv.org/abs/2106.10468v1 | A Condense-then-Select Strategy for Text Summarization | Select-then-compress is a popular hybrid, framework for text summarization due to its high efficiency. This framework first selects salient sentences and then independently condenses each of the selected sentences into a concise version. However, compressing sentences separately ignores the context information of the d... | [
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Summarization",
"Text Generation",
"Responsible & Trustworthy NLP"
] | [
3,
68,
30,
47,
4
] |
http://arxiv.org/abs/2108.13303v1 | A Conditional Cascade Model for Relational Triple Extraction | Tagging based methods are one of the mainstream methods in relational triple extraction. However, most of them suffer from the class imbalance issue greatly. Here we propose a novel tagging based model that addresses this issue from following two aspects. First, at the model level, we propose a three-step extraction fr... | [
"Relation Extraction",
"Syntactic Text Processing",
"Named Entity Recognition",
"Tagging",
"Information Extraction & Text Mining"
] | [
75,
15,
34,
63,
3
] |
http://arxiv.org/abs/2106.15760v1 | A Conditional Splitting Framework for Efficient Constituency Parsing | We introduce a generic seq2seq parsing framework that casts constituency parsing problems (syntactic and discourse parsing) into a series of conditional splitting decisions. Our parsing model estimates the conditional probability distribution of possible splitting points in a given text span and supports efficient top-... | [
"Semantic Text Processing",
"Semantic Parsing",
"Syntactic Text Processing",
"Discourse & Pragmatics",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
72,
40,
15,
71,
4,
68
] |
SCOPUS_ID:85079098988 | A Configurable Agent to Advance Peers’ Productive Dialogue in MOOCs | Chatbot technology can greatly contribute towards the creation of personalized and engaging learning activities. Still, more experimentation is needed on how to integrate and use such agents in real world educational settings and, especially, in large-scale learning environments such as MOOCs. This paper presents the p... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
http://arxiv.org/abs/2107.05876v1 | A Configurable Multilingual Model is All You Need to Recognize All Languages | Multilingual automatic speech recognition (ASR) models have shown great promise in recent years because of the simplified model training and deployment process. Conventional methods either train a universal multilingual model without taking any language information or with a 1-hot language ID (LID) vector to guide the ... | [
"Multilinguality"
] | [
0
] |
http://arxiv.org/abs/2203.00725v3 | A Conformer Based Acoustic Model for Robust Automatic Speech Recognition | This study addresses robust automatic speech recognition (ASR) by introducing a Conformer-based acoustic model. The proposed model builds on the wide residual bi-directional long short-term memory network (WRBN) with utterance-wise dropout and iterative speaker adaptation, but employs a Conformer encoder instead of the... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Robustness in NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
58,
47,
4,
10,
74
] |
SCOPUS_ID:85145713176 | A Confounding Discourse Analysis of Vietnamese Sex Workers’ Talk in the City of Kaiyuan, China | Background: Vietnamese female sex workers (VFSWs) cross the border into Kaiyuan City, Yunnan Province yearly. However, very little is known about both the health and psychological issues VFSWs experience. The objectives of this study were to explore the dominant discourses that emerged from the VFSWs’ talk. The intervi... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:0032378581 | A Connectionist Model for Bootstrap Learning of Syllabic Structure | We report on a series of experiments with simple recurrent networks (SRNs) solving phoneme prediction in continuous phonemic data. The purpose of the experiments is to investigate whether the network output could function as a source for syllable boundary detection. We show that this is possible, using a generalisation... | [
"Linguistics & Cognitive NLP",
"Speech & Audio in NLP",
"Psycholinguistics",
"Multimodality"
] | [
48,
70,
77,
74
] |
https://aclanthology.org//W89-0224/ | A Connectionist Parser Aimed at Spoken Language | We describe a connectionist model which learns to parse single sentences from sequential word input. A parse in the connectionist network contains information about role assignment, prepositional attachment, relative clause structure, and subordinate clause structure. The trained network displays several interesting ty... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
https://aclanthology.org//W90-0103/ | A Connectionist Treatment of Grammar for Generation: Relying on Emergents | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:84891659743 | A Consensus Based Method for Multi-criteria Group Decision Making Under Uncertain Linguistic Setting | A two-stage (a consensus process and a selection process) approach is proposed to solve multi-criteria group decision making problems under an uncertain linguistic environment. Since achieving general consensus is a desirable goal in group decision making, the proposed method first develops a consensus reaching process... | [
"Indexing",
"Information Retrieval"
] | [
69,
24
] |
SCOPUS_ID:85024291890 | A Consideration of Various Theoretical and Clinical Problems Pertaining to “Natural Process Analysis” | There have been a considerable number of attempts to apply Natural Phonology, either explicitly or not, to the phonological disorders of children. These attempts, whether they are assessment tests or therapeutic programs, are referred to as “Natural Process Analysis” or “Phonological Process Analysis”. This approach ha... | [
"Phonology",
"Syntactic Text Processing"
] | [
6,
15
] |
SCOPUS_ID:85115625901 | A Consolidated Open Knowledge Representation for Multiple Texts | We propose to move from Open Information Extraction (OIE) ahead to Open Knowledge Representation (OKR), aiming to represent information conveyed jointly in a set of texts in an open text-based manner. We do so by consolidating OIE extractions using entity and predicate coreference, while modeling information containmen... | [
"Semantic Text Processing",
"Representation Learning",
"Open Information Extraction",
"Knowledge Representation",
"Information Extraction & Text Mining"
] | [
72,
12,
25,
18,
3
] |
http://arxiv.org/abs/1909.10368v1 | A Consolidated System for Robust Multi-Document Entity Risk Extraction and Taxonomy Augmentation | We introduce a hybrid human-automated system that provides scalable entity-risk relation extractions across large data sets. Given an expert-defined keyword taxonomy, entities, and data sources, the system returns text extractions based on bidirectional token distances between entities and keywords and expands taxonomy... | [
"Responsible & Trustworthy NLP",
"Robustness in NLP",
"Information Extraction & Text Mining"
] | [
4,
58,
3
] |
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