id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:85111408507 | A Framework and Decision Algorithm to Determine the Best Feature Extraction Technique for Supporting Machine Learning-Based Hate Speech Detection | We develop and implement a framework and a decision algorithm to determine the best feature extraction technique (FET) for supporting machine learning-based hate speech detection. Specifically, the contributions of this work are three-fold: (1) a seamless modular pipeline that automatically preprocesses, vectorizes, an... | [
"Responsible & Trustworthy NLP",
"Ethical NLP",
"Information Extraction & Text Mining"
] | [
4,
17,
3
] |
SCOPUS_ID:85118231815 | A Framework for Accelerating Transformer-Based Language Model on ReRAM-Based Architecture | Transformer-based language models have become the de-facto standard model for various natural language processing (NLP) applications given the superior algorithmic performances. Processing a transformer-based language model on a conventional accelerator induces the memory wall problem, and the ReRAM-based accelerator i... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:84922182545 | A Framework for Analysis | This chapter argues that an appreciation of the symbolic and the performative dimensions of politics and policy making is crucial to understand how authoritative governance is possible in an age of multiplicities, as these factors determine how politics 'meets the eye'. Reminding the reader how the staging of parliamen... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
http://arxiv.org/abs/2011.15038v1 | A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces | Authorial clustering involves the grouping of documents written by the same author or team of authors without any prior positive examples of an author's writing style or thematic preferences. For authorial clustering on shorter texts (paragraph-length texts that are typically shorter than conventional documents), the d... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
SCOPUS_ID:85134546068 | A Framework for Automated Text Generation Benchmarking | Researchers in areas such as translation and summarization need to compare their results to a wide range of published baselines that commonly use different evaluation methods. We aim to enable an easy comparison by presenting TextGen-Benchmarch, an open-sourced tool1 for streamlining the generation and evaluation of te... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85136271310 | A Framework for Automatic Fake Content Identification | Fake news emerged as a challenge for society now a day. Easy accessibility and low cost to the internet makes the fake news propagation task easy. In the Covid-19 pandemic situation, it is required to reduce the proliferation of misleading content to reduce its severe impact. Many existing works are based on lexico-syn... | [
"Reasoning",
"Fact & Claim Verification",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
8,
46,
17,
4
] |
SCOPUS_ID:85013127660 | A Framework for Automatic Personalised Ontology Learning | Understanding or acquiring a user's information needs from their local information repository (e.g. a set of example-documents that are relevant to user information needs) is important in many applications. However, acquiring the user's information needs from the local information repository is very challenging. Person... | [
"Topic Modeling",
"Knowledge Representation",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
9,
18,
72,
3
] |
http://arxiv.org/abs/1910.13826v4 | A Framework for Building Closed-Domain Chat Dialogue Systems | This paper presents HRIChat, a framework for developing closed-domain chat dialogue systems. Being able to engage in chat dialogues has been found effective for improving communication between humans and dialogue systems. This paper focuses on closed-domain systems because they would be useful when combined with task-o... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
https://aclanthology.org//W08-0114/ | A Framework for Building Conversational Agents Based on a Multi-Expert Model | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85016729829 | A Framework for Building an Arabic Multi-disciplinary Ontology from Multiple Resources | Over recent years, the Internet has become people’s main source of information, with many databases and web pages being added and accessed every day. This continued growth in the amount of information available has led to frustration and difficulty for those attempting to find a specific piece of information. As such, ... | [
"Knowledge Representation",
"Semantic Text Processing",
"Information Retrieval"
] | [
18,
72,
24
] |
SCOPUS_ID:85105879023 | A Framework for Constructing Thai Sentiment Corpus using the Cosine Similarity Technique | Unstructured data is growing rapidly due to the increase in various social media that allow individuals to express and write reviews in either a formal or informal style. Thus, in sentiment analysis, it becomes difficult to identify and analyze both positive and negative reviews. Thai is a low-resource language with fe... | [
"Text Classification",
"Polarity Analysis",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
33,
78,
24,
3
] |
https://aclanthology.org//W19-2910/ | A Framework for Decoding Event-Related Potentials from Text | We propose a novel framework for modeling event-related potentials (ERPs) collected during reading that couples pre-trained convolutional decoders with a language model. Using this framework, we compare the abilities of a variety of existing and novel sentence processing models to reconstruct ERPs. We find that modern ... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
SCOPUS_ID:85093869232 | A Framework for Design of Conversational Agents to Support Health Self-Care for Older Adults | Objective: We examined the potential of conversational agents (CAs) to support older adults’ self-care related to chronic illness in light of lessons learned from decades of pedagogical agent research, which investigates the impact and efficacy of CAs for a wide range of learners. Background: The role of CAs in educati... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
http://arxiv.org/abs/1903.00232v2 | A Framework for Detecting Event related Sentiments of a Community | Social media has revolutionized human communication and styles of interaction. Due to its easiness and effective medium, people share and exchange information, carry out discussion on various events, and express their opinions. For effective policy making and understanding the response of a community on different event... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85084608174 | A Framework for Detection and Identification the Components of Arguments in Arabic Legal Texts | Argument mining processes in the legal domain it is aiming to detect and extract the premises, claims and their relations automatically from unstructured legal texts to provide structured data that can be processable by argumentation models. This paper presents a framework to detect and identify the components of argum... | [
"Argument Mining",
"Reasoning",
"Information Extraction & Text Mining"
] | [
60,
8,
3
] |
SCOPUS_ID:85111391536 | A Framework for Detection and Validation of Fake News via Authorize Source Matching | In the present era, peoples are sharing views, information, and knowledge on social media across the world without validating the contents. This increases the probability that deceptive news reaches the group of peoples. This type of deceptive news is termed as fake news and requires a proper solution to validate such ... | [
"Visual Data in NLP",
"Ethical NLP",
"Responsible & Trustworthy NLP",
"Reasoning",
"Fact & Claim Verification",
"Multimodality"
] | [
20,
17,
4,
8,
46,
74
] |
https://aclanthology.org//2011.mtsummit-papers.60/ | A Framework for Diagnostic Evaluation of MT Based on Linguistic Checkpoints | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
https://aclanthology.org//W16-2210/ | A Framework for Discriminative Rule Selection in Hierarchical Moses | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
SCOPUS_ID:85045248461 | A Framework for Document Specific Error Detection and Corrections in Indic OCR | In this paper, we present a framework for assisting word-level corrections in Indic OCR documents by incorporating the ability to identify, segment and combine partially correct word forms. The partially correct word forms themselves may be obtained from corrected parts of the document itself and auxiliary sources such... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85107820329 | A Framework for Document-level Cybersecurity Event Extraction from Open Source Data | With the rapid development of the Internet, the number of cyber threats increases exponentially. More and more cyber threats come from new and unexpected sources, leading organizations and individuals to facing more security risks and vulnerabilities. Automatically obtaining and structuring security information from cy... | [
"Event Extraction",
"Information Extraction & Text Mining"
] | [
31,
3
] |
SCOPUS_ID:85128791563 | A Framework for Effective Knowledge Extraction from A Data Space Formed by Unstructured Technical Reports using Pre-Trained Models | The transformation of unstructured data into triples is a key task in knowledge graph construction. It remains a great challenge to complete this task on technical reports. In this work, we propose a framework for effectively structuring data structuring in knowledge graph construction from a data space formed by techn... | [
"Language Models",
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Named Entity Recognition",
"Multimodality",
"Information Extraction & Text Mining"
] | [
52,
72,
50,
18,
34,
74,
3
] |
SCOPUS_ID:85112188450 | A Framework for Efficient Multilevel Polarity-Based Sentiment Analysis Using Fuzzy Logic | The evaluation of any product or event on social media with the opinion or emotion of peoples is known as sentiment analysis (SA). A great deal of attention has been attracted in recent years, toward both science and industry fields for a variety of uses. Machine learning and the text mining uses this most widely known... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Green & Sustainable NLP",
"Polarity Analysis",
"Sentiment Analysis",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
3,
24,
68,
33,
78,
36,
4
] |
SCOPUS_ID:85097580281 | A Framework for Estimating Privacy Risk Scores of Mobile Apps | With the rapidly growing popularity of smart mobile devices, the number of mobile applications available has surged in the past few years. Such mobile applications collect a treasure trove of Personally Identifiable Information (PII) attributes (such as age, gender, location, and fingerprints). Mobile applications, how... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85145438793 | A Framework for Evaluating MRC Approaches with Unanswerable Questions | Machine reading comprehension (MRC) is a challenging task in natural language processing that demonstrates the language understanding of the machine. An approach to tackle this challenge requires the machine to answer the question about the given context when needed and abstain from answering when there is no answer. R... | [
"Question Answering",
"Robustness in NLP",
"Machine Reading Comprehension",
"Natural Language Interfaces",
"Reasoning",
"Responsible & Trustworthy NLP"
] | [
27,
58,
37,
11,
8,
4
] |
http://arxiv.org/abs/2003.04642v1 | A Framework for Evaluation of Machine Reading Comprehension Gold Standards | Machine Reading Comprehension (MRC) is the task of answering a question over a paragraph of text. While neural MRC systems gain popularity and achieve noticeable performance, issues are being raised with the methodology used to establish their performance, particularly concerning the data design of gold standards that ... | [
"Reasoning",
"Machine Reading Comprehension"
] | [
8,
37
] |
SCOPUS_ID:85085939614 | A Framework for Event-oriented Text Retrieval Based on Temporal Aspects: A Recent Review | Event, as an important carrier for users to understand the world, has become a special retrieval object. In contrast to traditional text retrieval, Event-oriented Text Retrieval (ETR) can search events by utilizing events knowledge and using events as proxies for information needs. Accordingly, ETR has become the prefe... | [
"Information Retrieval"
] | [
24
] |
SCOPUS_ID:85081412596 | A Framework for Explainable Text Classification in Legal Document Review | Companies regularly spend millions of dollars producing electronically-stored documents in legal matters. Over the past two decades, attorneys have been using a variety of technologies to conduct this exercise, and most recently, parties on both sides of the 'legal aisle' are accepting the use of machine learning techn... | [
"Information Extraction & Text Mining",
"Text Classification",
"Explainability & Interpretability in NLP",
"Passage Retrieval",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
36,
81,
66,
24,
4
] |
SCOPUS_ID:85080997702 | A Framework for Explaining Teachers’ Diagnostic Judgements by Cognitive Modeling (DiaCoM) | Research on diagnostic competencies of teachers nowadays raises the question which person or situational characteristics moderate judgement accuracy. Beside this correlational approach, a stronger interest in understanding the cognitive processes involved in the genesis of diagnostic judgements has emerged. To address ... | [
"Explainability & Interpretability in NLP",
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Responsible & Trustworthy NLP"
] | [
81,
2,
48,
4
] |
SCOPUS_ID:85119378931 | A Framework for Extractive Text Summarization Based on Deep Learning Modified Neural Network Classifier | There is an exponential growth of text data over the internet, and it is expected to gain significant growth and attention in the coming years. Extracting meaningful insights from text data is crucially important as it offers value-added solutions to business organizations and end-users. Automatic text summarization (A... | [
"Text Classification",
"Summarization",
"Text Generation",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
30,
47,
24,
3
] |
SCOPUS_ID:85129203293 | A Framework for Facilitating Reproducible News Sentiment Impact Analysis | The proliferation of outlets for news media in recent decades has contributed to faster issuance of news data. News analysis has been one of the key activities conducted by researchers in a broad variety of research disciplines. In general, the analysis process used in these studies includes interpreting the content of... | [
"Sentiment Analysis",
"Responsible & Trustworthy NLP"
] | [
78,
4
] |
SCOPUS_ID:85129323405 | A Framework for Feature Selection Using Natural Language Processing for User Profile Learning for Recommendations of Healthcare-Related Content | This paper presents the work done on recommendations of healthcare-related journal papers by understanding the semantics of terms from the papers referred by users in past. In other words, user profiles based on user interest within the healthcare domain are constructed from the kind of journal papers read by the users... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
https://aclanthology.org//W04-0201/ | A Framework for Feature based Description of Low level Discourse | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] | |
http://arxiv.org/abs/2003.09530v2 | A Framework for Generating Explanations from Temporal Personal Health Data | Whereas it has become easier for individuals to track their personal health data (e.g., heart rate, step count, food log), there is still a wide chasm between the collection of data and the generation of meaningful explanations to help users better understand what their data means to them. With an increased comprehensi... | [
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP"
] | [
81,
4
] |
SCOPUS_ID:85148611938 | A Framework for Handwritten Date Recognition in Quality Documents | Document text recognition is an important task in optical character recognition. Due to the difficulty in collecting real handwriting samples and the variety of handwritten characters, there are still challenges to recognize handwritten text in quality documents. In this paper, we propose a framework for handwritten da... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Multimodality"
] | [
20,
52,
72,
74
] |
https://aclanthology.org//W14-4415/ | A Framework for Health Behavior Change using Companionable Robots | [
"Text Generation"
] | [
47
] | |
http://arxiv.org/abs/2005.05507v1 | A Framework for Hierarchical Multilingual Machine Translation | Multilingual machine translation has recently been in vogue given its potential for improving machine translation performance for low-resource languages via transfer learning. Empirical examinations demonstrating the success of existing multilingual machine translation strategies, however, are limited to experiments in... | [
"Multilinguality",
"Low-Resource NLP",
"Machine Translation",
"Syntactic Text Processing",
"Text Generation",
"Typology",
"Responsible & Trustworthy NLP"
] | [
0,
80,
51,
15,
47,
45,
4
] |
https://aclanthology.org//W06-2002/ | A Framework for Incorporating Alignment Information in Parsing | [
"Cross-Lingual Transfer",
"Multilinguality"
] | [
19,
0
] | |
SCOPUS_ID:85120344524 | A Framework for Indonesian Grammar Error Correction | Grammatical Error Correction (GEC) is a challenge in Natural Language Processing research. Although many researchers have been focusing on GEC in universal languages such as English or Chinese, few studies focus on Indonesian, which is a low-resource language. In this article, we proposed a GEC framework that has the p... | [
"Low-Resource NLP",
"Text Error Correction",
"Semantic Text Processing",
"Syntactic Text Processing",
"Representation Learning",
"Responsible & Trustworthy NLP"
] | [
80,
26,
72,
15,
12,
4
] |
SCOPUS_ID:85124012841 | A Framework for LED Signboard Recognition for the Autonomous Vehicle Management System | An electronic road sign is an important instrument for providing real-Time traffic-related information in the field of intelligent vehicle management systems. In most cases, electronic signboards present a piece of complex text information in which each character is made up of a matrix of light-emitting diodes lamps, r... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
http://arxiv.org/abs/2110.11938v1 | A Framework for Learning Assessment through Multimodal Analysis of Reading Behaviour and Language Comprehension | Reading comprehension, which has been defined as gaining an understanding of written text through a process of translating grapheme into meaning, is an important academic skill. Other language learning skills - writing, speaking and listening, all are connected to reading comprehension. There have been several measures... | [
"Multimodality",
"Reasoning",
"Machine Reading Comprehension"
] | [
74,
8,
37
] |
SCOPUS_ID:85093834981 | A Framework for Learning Cross-Lingual Word Embedding with Topics | Cross-lingual word embeddings have been served as fundamental components for many Web-based applications. However, current models learn cross-lingual word embeddings based on projection of two pre-trained monolingual embeddings based on well-known models such as word2vec. This procedure makes it indiscriminative for so... | [
"Multilinguality",
"Semantic Text Processing",
"Cross-Lingual Transfer",
"Representation Learning"
] | [
0,
72,
19,
12
] |
SCOPUS_ID:84988799184 | A Framework for Mining Thai Public Opinions | User-generated textual opinions strongly influence humans' beliefs and decisions. Due to the rapid growth of social data, readers cannot capture major opinions on particular topics by reading through all texts. To provide informative supporting evidence for sentiment analysis results, we integrate an opinion summarizat... | [
"Opinion Mining",
"Summarization",
"Text Clustering",
"Text Generation",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
49,
30,
29,
47,
78,
3
] |
https://aclanthology.org//W08-0128/ | A Framework for Model-based Evaluation of Spoken Dialog Systems | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85114919615 | A Framework for Modeling Cyber Attack Techniques from Security Vulnerability Descriptions | Attack graphs are one of the main techniques used to automate the cybersecurity risk assessment process. In order to derive a relevant attack graph, up-to-date information on known cyber attack techniques should be represented as interaction rules. However, designing and creating new interaction rules is a time consumi... | [
"Responsible & Trustworthy NLP",
"Structured Data in NLP",
"Robustness in NLP",
"Multimodality"
] | [
4,
50,
58,
74
] |
SCOPUS_ID:85097241483 | A Framework for Modeling Knowledge Graphs via Processing Natural Descriptions of Vehicle-Pedestrian Interactions | The full-scale deployment of autonomous driving demands successful interaction with pedestrians and other vulnerable road users, which requires an understanding of their dynamic behavior and intention. Current research achieves this by estimating pedestrian’s trajectory mainly based on the gait and movement information... | [
"Visual Data in NLP",
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Reasoning",
"Multimodality"
] | [
20,
72,
50,
18,
8,
74
] |
SCOPUS_ID:85114554391 | A Framework for Multi-lingual Scene Text Detection Using K-means++ and Memetic Algorithms | Recent years have witnessed an exponential surge in interest to explore the domain of scene text detection as well as analysis in natural scene images. However, owing to the complexities arising due to various factors, it can be said that existing techniques may fail at times while attempting to detect text components.... | [
"Visual Data in NLP",
"Multimodality",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
20,
74,
3,
29
] |
http://arxiv.org/abs/cmp-lg/9611006v1 | A Framework for Natural Language Interfaces to Temporal Databases | Over the past thirty years, there has been considerable progress in the design of natural language interfaces to databases. Most of this work has concerned snapshot databases, in which there are only limited facilities for manipulating time-varying information. The database community is becoming increasingly interested... | [
"Natural Language Interfaces"
] | [
11
] |
http://arxiv.org/abs/2108.08946v1 | A Framework for Neural Topic Modeling of Text Corpora | Topic Modeling refers to the problem of discovering the main topics that have occurred in corpora of textual data, with solutions finding crucial applications in numerous fields. In this work, inspired by the recent advancements in the Natural Language Processing domain, we introduce FAME, an open-source framework enab... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85015314949 | A Framework for Opinion Mining System with Design Pattern | Due to the sheer volume of opinion rich web resources such as discussion forum, review sites, blogs, and news corpora available in digital form, much of the current research is focusing on the area of sentiment analysis. People are intended to develop a system that can identify and classify opinion or sentiment as repr... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
SCOPUS_ID:85123796692 | A Framework for Pre Processing, Recognizing and Distributed Proofreading of Assamese Printed Text | The paper provides a brief outline of the framework established for digitizing, recognizing and proofreading printed Indic documents with Assamese as a target language. The establishment of such a framework is essential as it depicts the workflow for the digitization and archival of the scanned text and it has a high i... | [
"Visual Data in NLP",
"Text Error Correction",
"Syntactic Text Processing",
"Multimodality"
] | [
20,
26,
15,
74
] |
http://arxiv.org/abs/2006.15854v1 | A Framework for Pre-processing of Social Media Feeds based on Integrated Local Knowledge Base | Most of the previous studies on the semantic analysis of social media feeds have not considered the issue of ambiguity that is associated with slangs, abbreviations, and acronyms that are embedded in social media posts. These noisy terms have implicit meanings and form part of the rich semantic context that must be ana... | [
"Knowledge Representation",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
18,
72,
78
] |
https://aclanthology.org//W15-2206/ | A Framework for Procedural Text Understanding | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] | |
http://arxiv.org/abs/2110.04620v1 | A Framework for Rationale Extraction for Deep QA models | As neural-network-based QA models become deeper and more complex, there is a demand for robust frameworks which can access a model's rationale for its prediction. Current techniques that provide insights on a model's working are either dependent on adversarial datasets or are proposing models with explicit explanation ... | [
"Natural Language Interfaces",
"Question Answering",
"Information Extraction & Text Mining"
] | [
11,
27,
3
] |
SCOPUS_ID:85124401574 | A Framework for Real-time Sentiment Analysis of Big Data Generated by Social Media Platforms | Sentiment and Opinion analysis have been of significant interest with the possibilities of creating more meaningful business analytics from using data sources such as social media creating a large-scale implementation using Big Data. There has been a range of implementation, typically focusing on one social media platf... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85107655862 | A Framework for Scalable Similarity Evaluation in Text Graphs | Graphs and graph databases are applicable over a wide range of domains, including text mining and web mining. Using graphs to represent relationships between entities provides enriched models for emerging tasks of web search and information retrieval. Natural language processing algorithms use graphs to model structura... | [
"Semantic Text Processing",
"Green & Sustainable NLP",
"Structured Data in NLP",
"Semantic Similarity",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
72,
68,
50,
53,
4,
74
] |
SCOPUS_ID:85130946268 | A Framework for Segmentation of Characters and Words from In-Air Handwritten Assamese Text | In-air handwriting is a popular human–computer interaction platform that offers users with a natural and intriguing means of communication through air-written hand or finger gestures. The complexity of in-air handwriting stems from the fact that it is executed in a single stroke, which leads to irrelevant connecting mo... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85114964107 | A Framework for Semantic Knowledge Representation of Al-Quran Based on Word Dependencies | A variety of applications have been built in recent years with the aim to extract knowledge from Al-Quran. Current knowledge representations of Al-Quran give attention primarily on conceptual ontology models that describe the semantic relations between the Quranic concepts or entities. There seems to be minimal effort ... | [
"Semantic Text Processing",
"Question Answering",
"Syntactic Text Processing",
"Representation Learning",
"Knowledge Representation",
"Natural Language Interfaces",
"Syntactic Parsing",
"Information Retrieval"
] | [
72,
27,
15,
12,
18,
11,
28,
24
] |
SCOPUS_ID:85056185225 | A Framework for Semantic Video Content Indexing Using Textual Information | In these last years, many works have been published in the video indexing and retrieval field. However, except some specific cases such ass port video where i ts possible t o estimate the set of important events and concepts in the document, this research is generally limited to analyzing low level content. In this pap... | [
"Visual Data in NLP",
"Indexing",
"Information Retrieval",
"Multimodality"
] | [
20,
69,
24,
74
] |
SCOPUS_ID:85145822009 | A Framework for Smart Home System with Voice Control Using NLP Methods | The proliferation of information technologies and the emergence of ubiquitous computing have quickly transformed electronic devices from isolated islands of data and control into interconnected parts of intelligent systems. These network-based systems have advanced features, including Internet of Things (IoT) sensors a... | [
"Speech & Audio in NLP",
"Multimodality"
] | [
70,
74
] |
SCOPUS_ID:85058814185 | A Framework for Solving Explicit Arithmetic Word Problems and Proving Plane Geometry Theorems | This paper presents a framework for solving math problems stated in a natural language (NL) and applies the framework to develop algorithms for solving explicit arithmetic word problems and proving plane geometry theorems. We focus on problem understanding, that is, the transformation of a NL description of a math prob... | [
"Relation Extraction",
"Numerical Reasoning",
"Reasoning",
"Information Extraction & Text Mining"
] | [
75,
5,
8,
3
] |
SCOPUS_ID:85149222260 | A Framework for Understanding Unstructured Financial Documents Using RPA and Multimodal Approach | The financial business process worldwide suffers from huge dependencies upon labor and written documents, thus making it tedious and time-consuming. In order to solve this problem, traditional robotic process automation (RPA) has recently been developed into a hyper-automation solution by combining computer vision (CV)... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Information Retrieval",
"Multimodality",
"Text Classification",
"Multilinguality"
] | [
20,
3,
24,
74,
36,
0
] |
SCOPUS_ID:85094179656 | A Framework for Understanding the Relationship between Social Media Discourse and Mental Health | Over 35% of the world's population uses social media. Platforms like Facebook, Twitter, and Instagram have radically influenced the way individuals interact and communicate. These platforms facilitate both public and private communication with strangers and friends alike, providing rich insight into an individual's per... | [
"Responsible & Trustworthy NLP",
"Ethical NLP",
"Information Extraction & Text Mining"
] | [
4,
17,
3
] |
SCOPUS_ID:85063593996 | A Framework for Word Clustering of Bangla Sentences Using Higher Order N-gram Language Model | Clustering of words is the method that is used to partition the sets of words into subsets of semantically similar words. Word clustering has crucial in many uses of natural language processing like POS tagging, spell checker, grammar checker, word sense disambiguation and many more. In this paper we propose a model by... | [
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
52,
72,
3,
29
] |
SCOPUS_ID:85091286980 | A Framework for a Comprehensive Conceptualization of Urban Constructs | Analogy is thought to be foundational for designing and for design creativity. Nonetheless, practicing analogical reasoning needs a knowledge-base. The paper proposes a framework for constructing a knowledge-base of urban constructs that builds on an ontology of urbanism. The framework is composed of two modules that a... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Reasoning",
"Multimodality"
] | [
72,
50,
18,
8,
74
] |
SCOPUS_ID:84883114095 | A Framework for machine translation output combination | In this paper, we propose a framework for combining outputs from multiple on-line machine translation systems. This framework consists of several modules, including selection, substitution, insertion, and deletion. We evaluate the combination framework on IWSLT07 in travel domain, for the translation direction from Chi... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85086321513 | A Framework for online social network volatile data analysis: A case for the fast fashion industry | Consumer satisfaction is an important part for any business as it has been shown to be a major factor for consumer loyalty. Identifying satisfaction in products is also important as it allows businesses alter production plans based on the level of consumer satisfaction for a product. With consumer satisfaction data bei... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:77956816842 | A Framework for scalable summarization of video | Video summaries provide compact representations of video sequences, with the length of the summary playing an important role, trading off the amount of information conveyed and how fast it can be visualized. This letter proposes scalable summarization as a method to easily adapt the summary to a suitable length, accord... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Summarization",
"Text Generation",
"Multimodality"
] | [
20,
3,
30,
47,
74
] |
https://aclanthology.org//W89-0236/ | A Framework for the Development of Natural Language Grammars | This paper describes a parsing system used in a framework for the development of Natural Language grammars. It is an interactive environment suitable for writing robust NL applications generally. Its heart is the SAIL parsing algorithm that uses a Phrase-Structure Grammar with extensive augmentations. Furthermore, some... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
https://aclanthology.org//W15-4707/ | A Framework for the Generation of Computer System Diagnostics in Natural Language using Finite State Methods | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:85083547009 | A Framework of Computer-Based Learning System Based on Self-Regulated Model in English Writing | This paper presents a design phase of a computer based learning system for English writing in Thai EFL learners. This system is designed to incorporate the self-regulated model and set the components of linguistics and machine translation as a learning environment. The system is designed based on three main phases of s... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/2212.10051v1 | A Framework of Customer Review Analysis Using the Aspect-Based Opinion Mining Approach | Opinion mining is the branch of computation that deals with opinions, appraisals, attitudes, and emotions of people and their different aspects. This field has attracted substantial research interest in recent years. Aspect-level (called aspect-based opinion mining) is often desired in practical applications as it prov... | [
"Opinion Mining",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
49,
78,
3
] |
SCOPUS_ID:85115989855 | A Framework of Responsible Innovation (RI) Model for Artificial Intelligence (AI) in Indian Healthcare | COVID 19 pandemic has hastened the digitalization of healthcare in India and a key disruption has been the adoption of Artificial Intelligence (AI) enabled systems. AI enabled healthcare information system (HIS) is the fountain bed on which AI can grow as it impacts data collection, data cleaning data privacy, data com... | [
"Responsible & Trustworthy NLP"
] | [
4
] |
SCOPUS_ID:85129245343 | A Framework to Assist in Didactic Planning at Undergraduate Level | In the teaching-learning process under the competency-based educational model, the instructor is a facilitator and seeks to generate a flexible and adaptable environment for student learning. One of the first tasks of the facilitator is the structuring of didactic planning. Didactic planning includes strategies for tea... | [
"Knowledge Representation",
"Semantic Text Processing"
] | [
18,
72
] |
SCOPUS_ID:85109026362 | A Framework to Capture the Shift in Dynamics of a Multi-phase Protest—A Case Study of Hong Kong Protests | There has been a shift in protest dynamics in the 2019 Hong Kong protests, when compared to the Hong Kong Umbrella Protests of 2014. The intensity, magnitude and characteristics of the movement in 2019 were perceptibly different. This work presents a framework to capture such a shift using techniques of social network ... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
http://arxiv.org/abs/2205.02005v1 | A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection | Systems like Voice-command based conversational agents are characterized by a pre-defined set of skills or intents to perform user specified tasks. In the course of time, newer intents may emerge requiring retraining. However, the newer intents may not be explicitly announced and need to be inferred dynamically. Thus, ... | [
"Intent Recognition",
"Sentiment Analysis"
] | [
79,
78
] |
SCOPUS_ID:85108029964 | A Framework to Identify Allergen and Nutrient Content in Fruits and Packaged Food using Deep Learning and OCR | Allergic reactions to food can depend on a wide range of factors and hence, the proportionate reactions of the same can vary. With such a wide range of unpredictability, classifying allergens, and the rate at which it would effect is what the scientists have been working on for years. To bring awareness of the food we ... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85148246253 | A Framing Analysis and Regional Comparison of Newspaper Media Reports of COVID-19 in Shanghai: Based on the LDA Topic Model | In this study, we analyzed reports published by local and non-local newspapers on the 2022 COVID-19 outbreak in Shanghai using the Latent Dirichlet Allocation (LDA) topic modeling technique. Framing Theory suggests that both coverage types would typically produce similar media frames, notwithstanding the presence of sl... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
http://arxiv.org/abs/cs/9809050v1 | A Freely Available Morphological Analyzer, Disambiguator and Context Sensitive Lemmatizer for German | In this paper we present Morphy, an integrated tool for German morphology, part-of-speech tagging and context-sensitive lemmatization. Its large lexicon of more than 320,000 word forms plus its ability to process German compound nouns guarantee a wide morphological coverage. Syntactic ambiguities can be resolved with a... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
http://arxiv.org/abs/cmp-lg/9410014v1 | A Freely Available Syntactic Lexicon for English | This paper presents a syntactic lexicon for English that was originally derived from the Oxford Advanced Learner's Dictionary and the Oxford Dictionary of Current Idiomatic English, and then modified and augmented by hand. There are more than 37,000 syntactic entries from all 8 parts of speech. An X-windows based tool ... | [
"Syntactic Text Processing"
] | [
15
] |
http://arxiv.org/abs/cmp-lg/9410024v1 | A Freely Available Wide Coverage Morphological Analyzer for English | This paper presents a morphological lexicon for English that handles more than 317000 inflected forms derived from over 90000 stems. The lexicon is available in two formats. The first can be used by an implementation of a two-level processor for morphological analysis. The second, derived from the first one for efficie... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
SCOPUS_ID:85096603966 | A French corpus and annotation schema for named entity recognition and relation extraction of financial news | In financial services industry, compliance involves a series of practices and controls in order to meet key regulatory standards which aim to reduce financial risk and crime, e.g. money laundering and financing of terrorism. Faced with the growing risks, it is imperative for financial institutions to seek automated inf... | [
"Semantic Text Processing",
"Relation Extraction",
"Knowledge Representation",
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
72,
75,
18,
34,
3
] |
SCOPUS_ID:85096549263 | A French medical conversations corpus annotated for a virtual patient dialogue system | Data-driven approaches for creating virtual patient dialogue systems require the availability of large data specific to the language, domain and clinical cases studied. Based on the lack of dialogue corpora in French for medical education, we propose an annotated corpus of dialogues including medical consultation inter... | [
"Natural Language Interfaces",
"Question Answering",
"Dialogue Systems & Conversational Agents"
] | [
11,
27,
38
] |
SCOPUS_ID:85083954961 | A French to English Language Translator Using Recurrent Neural Network with Attention Mechanism | In today’s world there are many people who are facing the problem of language translator for ex: talking to a person who only knows a language which you do not understand or you have some information in a language like French and you only Know English, etc. This type of problem can be overcome by a technology called ma... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:84978916675 | A French-Tamazight MT system for computer science | Today, industrial and large-audience Machine Translation software are still producing poor quality results. For example when we use Babelfish to translate the compound term: Entrées sorties physiques, we obtain: Entries physical outputs, instead physical input output. Automatic translating software needs increasingly s... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85124970810 | A French-to-English Machine Translation Model Using Transformer Network | Traditional machine translation based on RNN has two major defects: (1)it can only process word-by-word and result in slow training speed; (2)when the sentence is too long, gradient disappearance and explosion reduce the accuracy of translation. To solve this problem, this paper designs a Transformer based machine tran... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
SCOPUS_ID:85111243438 | A Frequency-Based Approach to Extract Aspect for Aspect-Based Sentiment Analysis | Data is king nowadays, and users worldwide express their views on different platforms to aggregate this data and analyze it. Sentiment analysis becomes a major tool for analysts. Sentiment analysis can be done on different levels. This will be discussing a more granular level of sentiment analysis using aspect-based se... | [
"Sentiment Analysis",
"Aspect-based Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
78,
23,
3
] |
SCOPUS_ID:85096410229 | A Frequency-Category Based Feature Selection in Big Data for Text Classification | In big data era text classification is considered as one of the most important machine learning application domain. However to build an efficient algorithm for classification feature selection is a fundamental step to reduce dimensionality achieve better accuracy and improve time execution. In the literature most of th... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:2342520096 | A Frequency-based Technique to Improve the Spelling Suggestion Rank in Medical Queries | Objective: There is an abundance of health-related information online, and millions of consumers search for such information. Spell checking is of crucial importance in returning pertinent results, so the authors propose a technique for increasing the effectiveness of spell-checking tools used for health-related inform... | [
"Text Error Correction",
"Syntactic Text Processing"
] | [
26,
15
] |
http://arxiv.org/abs/2302.07159v1 | A Friendly Face: Do Text-to-Image Systems Rely on Stereotypes when the Input is Under-Specified? | As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate properties of images generated in response to prompts which are visually under-specified, but contain salient social attributes (e.g., 'a portrait... | [
"Visual Data in NLP",
"Responsible & Trustworthy NLP",
"Ethical NLP",
"Multimodality"
] | [
20,
4,
17,
74
] |
http://arxiv.org/abs/1505.06294v1 | A Frobenius Model of Information Structure in Categorical Compositional Distributional Semantics | The categorical compositional distributional model of Coecke, Sadrzadeh and Clark provides a linguistically motivated procedure for computing the meaning of a sentence as a function of the distributional meaning of the words therein. The theoretical framework allows for reasoning about compositional aspects of language... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2010.12812v2 | A Frustratingly Easy Approach for Entity and Relation Extraction | End-to-end relation extraction aims to identify named entities and extract relations between them. Most recent work models these two subtasks jointly, either by casting them in one structured prediction framework, or performing multi-task learning through shared representations. In this work, we present a simple pipeli... | [
"Language Models",
"Relation Extraction",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
52,
75,
72,
3
] |
http://arxiv.org/abs/2201.12723v3 | A Frustratingly Simple Approach for End-to-End Image Captioning | Image Captioning is a fundamental task to join vision and language, concerning about cross-modal understanding and text generation. Recent years witness the emerging attention on image captioning. Most of existing works follow a traditional two-stage training paradigm. Before training the captioning models, an extra ob... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Captioning",
"Text Generation",
"Multimodality"
] | [
20,
52,
72,
39,
47,
74
] |
http://arxiv.org/abs/1808.03815v2 | A Full End-to-End Semantic Role Labeler, Syntax-agnostic Over Syntax-aware? | Semantic role labeling (SRL) is to recognize the predicate-argument structure of a sentence, including subtasks of predicate disambiguation and argument labeling. Previous studies usually formulate the entire SRL problem into two or more subtasks. For the first time, this paper introduces an end-to-end neural model whi... | [
"Semantic Parsing",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
40,
72,
15
] |
SCOPUS_ID:85135015047 | A Full Information Enhanced Question Answering System Based on Hierarchical Heterogeneous Crowd Intelligence Knowledge Graph | With the development of deep learning technology, generative question answering models based on neural networks have gradually become a mainstream research direction in academia and industry. The current question answering models fail to make full use of the multi-level knowledge embedded in the learned corpus, and the... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Question Answering",
"Knowledge Representation",
"Natural Language Interfaces",
"Multimodality"
] | [
72,
50,
27,
18,
11,
74
] |
http://arxiv.org/abs/2104.08428v1 | A Full Text-Dependent End to End Mispronunciation Detection and Diagnosis with Easy Data Augmentation Techniques | Recently, end-to-end mispronunciation detection and diagnosis (MD&D) systems has become a popular alternative to greatly simplify the model-building process of conventional hybrid DNN-HMM systems by representing complicated modules with a single deep network architecture. In this paper, in order to utilize the prior te... | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP"
] | [
80,
4
] |
http://arxiv.org/abs/1810.09580v1 | A Fully Attention-Based Information Retriever | Recurrent neural networks are now the state-of-the-art in natural language processing because they can build rich contextual representations and process texts of arbitrary length. However, recent developments on attention mechanisms have equipped feedforward networks with similar capabilities, hence enabling faster com... | [
"Natural Language Interfaces",
"Question Answering",
"Information Retrieval"
] | [
11,
27,
24
] |
SCOPUS_ID:85134240240 | A Fully Automated Intelligent Medicine Dispensary System Based on AIoT | The COVID-19 pandemic has caused a high rate of infection, and thus effective epidemic prevention measures of avoiding the second spread of COVID-19 in hospitals are major challenges for healthcare workers. Hospitals, where medicines are collected, are vulnerable to the rapid spread of COVID-19. Using the remote health... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85119008472 | A Fully Dynamic Context Guided Reasoning and Reconsidering Network for Video Captioning | Visual reasoning and reconsidering capabilities are instinctively executed alternately as people watch a video and attempt to describe its contents with natural language. Inspired by this, a novel network that joints fully dynamic context guided reasoning and reconsidering is proposed in this paper. Specifically, an el... | [
"Visual Data in NLP",
"Captioning",
"Text Generation",
"Reasoning",
"Multimodality"
] | [
20,
39,
47,
8,
74
] |
http://arxiv.org/abs/2010.02053v1 | A Fully Hyperbolic Neural Model for Hierarchical Multi-Class Classification | Label inventories for fine-grained entity typing have grown in size and complexity. Nonetheless, they exhibit a hierarchical structure. Hyperbolic spaces offer a mathematically appealing approach for learning hierarchical representations of symbolic data. However, it is not clear how to integrate hyperbolic components ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2005.09862v2 | A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition | Building a good speech recognition system usually requires large amounts of transcribed data, which is expensive to collect. To tackle this problem, many unsupervised pre-training methods have been proposed. Among these methods, Masked Predictive Coding achieved significant improvements on various speech recognition da... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Speech Recognition",
"Responsible & Trustworthy NLP"
] | [
52,
80,
72,
70,
74,
47,
10,
4
] |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.