id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:84888407059 | A Fused Feature Extraction Approach to OCR: MLP vs. RBF | This paper is focused on evaluating the capability of MLP and RBF neural network classifier algorithms for performing handwritten character recognition task. Projection profile features for the character images are extracted and merged with the binarization features obtained after preprocessing every character image. T... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Text Classification",
"Information Retrieval",
"Multimodality"
] | [
20,
3,
36,
24,
74
] |
SCOPUS_ID:85079743706 | A Fusion Model-Based Label Embedding and Self-Interaction Attention for Text Classification | Text classification is a pivotal task in NLP (Natural Language Processing), which has received widespread attention recently. Most of the existing methods leverage the power of deep learning to improve the performance of models. However, these models ignore the interaction information between all the sentences in a tex... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85065924691 | A Fuzzy Approach for Sentences Relevance Assessment in Multi-document Summarization | Text summarization is becoming an indispensable solution for dealing with the exponential growth of textual and unstructured information in digital format. In this paper, an unsupervised method for extractive multi-document summarization is presented. This method combines the use of a semantic graph for representing te... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:0141867824 | A Fuzzy Approach to Classification of Text Documents | This paper discusses the classification problems of text documents. Based on the concept of the proximity degree, the set of words is partitioned into some equivalence classes. Particularly, the concepts of the semantic field and association degree are given in this paper. Based on the above concepts, this paper presen... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
https://aclanthology.org//1995.iwpt-1.5/ | A Fuzzy Approach to Erroneous Inputs in Context-Free Language Recognition | Using fuzzy context-free grammars one can easily describe a finite number of ways to derive incorrect strings together with their degree of correctness. However, in general there is an infinite number of ways to perform a certain task wrongly. In this paper we introduce a generalization of fuzzy context-free grammars, ... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
SCOPUS_ID:85114692220 | A Fuzzy Approach to Language Universals for NLP | One of the currently biggest challenges in NLP is to develop multilingual language technology. Lack of data in low-resources languages poses great difficulty to NLP researchers and limits NLP technology's availability to a small number of resource-rich languages. It has been shown that linguistic typology and the knowl... | [
"Typology",
"Syntactic Text Processing",
"Multilinguality"
] | [
45,
15,
0
] |
SCOPUS_ID:85063949881 | A Fuzzy Approach to Text Classification with Two-Stage Training for Ambiguous Instances | Sentiment analysis is a very popular application area of text mining and machine learning. The popular methods include support vector machine, naive bayes, decision trees, and deep neural networks. However, these methods generally belong to discriminative learning, which aims to distinguish one class from others with a... | [
"Information Extraction & Text Mining",
"Text Classification",
"Ethical NLP",
"Sentiment Analysis",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
36,
17,
78,
24,
4
] |
SCOPUS_ID:85055867662 | A Fuzzy Decision Support Model with Sentiment Analysis for Items Comparison in e-Commerce: The Case Study of http://PConline.com | Decision support is a vital function in electronic commerce (e-commerce). The purpose of this paper is to construct a review-based decision support model for items comparison in e-commerce. The proposed model uses probability multivalued neutrosophic linguistic numbers (PMVNLNs) to characterize online reviews. It overc... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85140345026 | A Fuzzy Declarative Approach to Classify Unlabeled Short Texts Based on Automatically Constructed WordNet Ontologies | In this paper, we present an approach to categorizing short texts which only require, as user input, the category names defined using an ontology of terms automatically extracted from WordNet and modeled as a set of proximity equation. The use of a fuzzy extension of Prolog allows us to develop an efficient text classi... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Knowledge Representation",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
80,
72,
24,
3,
18,
36,
4
] |
SCOPUS_ID:85115247071 | A Fuzzy Deep Learning Approach to Health-Related Text Classification | Following the tremendous amounts of text generated in social networks and news channels, and gaining valuable and dependable insights from diverse sources of information is a tedious task. The challenge is increased during specific periods, for example, in a pandemic event like Covid-19. Existing text categorization me... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85136800195 | A Fuzzy Grammar for Evaluating Universality and Complexity in Natural Language | The paper focuses on linguistic complexity and language universals, which are two important and controversial issues in language research. A Fuzzy Property Grammar for determining the degree of universality and complexity of a natural language is introduced. In this task, the Fuzzy Property Grammar operated only with s... | [
"Text Complexity",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
42,
72,
15
] |
SCOPUS_ID:85043337802 | A Fuzzy Logic Approach to Predict the Popularity of a Presidential Candidate | We are noticing a new era of social networks where in a blink of eye millions of tweets about any topic can be emerged. Especially, when an event like national election comes for a nation, the messages in social media especially twitter rises at its peak. The amount of data twitter has during that time is enormous and ... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85064043471 | A Fuzzy Logic Model for Evaluating Customer Loyalty in e-Commerce | This research proposes a model for customer’s loyalty by sentiment analysis of ecommerce products. The purpose behind this research is to evaluate the response of customers in the shortest time. It practices sentiment analysis that tends to understand the user’s feedback about the product and services on ecommerce site... | [
"Polarity Analysis",
"Sentiment Analysis"
] | [
33,
78
] |
SCOPUS_ID:85111250447 | A Fuzzy Near Neighbors Approach for Arabic Text Categorization Based on Web Mining Technique | Nowadays, the quantity of textual content available online has experienced such a colossal increase. Hence, the need for a system to investigate this content data is mandatory. In this concern, Text Categorization (TC) highlights many performance methods and techniques to analyze, explore and classify various types of ... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Text Clustering"
] | [
3,
24,
36,
29
] |
SCOPUS_ID:84902668800 | A Fuzzy PROMETHEE Approach for Mining Customer Reviews in Chinese | Online customer reviews of products have a great impact on potential customers' purchase decisions and provide valuable customer opinions to businesses. However, it is difficult for a customer to go through the huge number of customer reviews of a product to make an informed decision. The opinion comparison, one of the... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
SCOPUS_ID:0028721477 | A Fuzzy Reasoning Database Question Answering System | The present paper describes a question answering system based on fuzzy logic. The proposed system provides the capability to assess whether a database contains information pertinent to a subject of interest by evaluating each comment in the database via a fuzzy evaluator that attributes a fuzzy membership value indicat... | [
"Natural Language Interfaces",
"Reasoning",
"Question Answering"
] | [
11,
8,
27
] |
SCOPUS_ID:85070710312 | A Fuzzy Reasoning Process for Conversational Agents in Cognitive Cities | Facing the challenges in a city that is to be understood as a complex construct, this article presents a solution approach for the further development of existing conversational agents, which should be used particularly in cities, for instance, as a source of information. The proposed framework consists of a fuzzy anal... | [
"Natural Language Interfaces",
"Reasoning",
"Dialogue Systems & Conversational Agents"
] | [
11,
8,
38
] |
SCOPUS_ID:85130684578 | A Fuzzy System for Identifying Partial Reduplication | Reduplication is a common feature more or less in almost all languages. It is a linguistic process that has been studied since back in both a morphological as well as a phonological process. Literary reduplication is the repetition of tokens in various forms like morpheme, phrase, word, etc. In most cases, it affects t... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
SCOPUS_ID:85137562965 | A Fuzzy Training Framework for Controllable Sequence-to-Sequence Generation | The generation of music lyrics by artificial intelligence (AI) is frequently modeled as a language-targeted sequence-to-sequence generation task. Formally, if we convert the melody into a word sequence, we can consider the lyrics generation task to be a machine translation task. Traditional machine translation tasks in... | [
"Multilinguality",
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Cross-Lingual Transfer",
"Multimodality"
] | [
0,
52,
51,
72,
70,
47,
19,
74
] |
SCOPUS_ID:85112674971 | A Fuzzy Word Similarity Measure for Selecting Top-k Similar Words in Query Expansion | Top-$ k$ words selection is a technique used to detect and return the $ k$ most similar words to a given word from a candidate set. This is a crucial and widely used tool in various tasks. The key issue in top-$k$ words selection is how to measure the similarity between words. One popular and effective solution is to u... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85084973685 | A Fuzzy, Incremental and Semantic Trending Topic Detection in Social Feeds | Nowadays, a huge number of people participating in social networks is triggering a fast and wide spectrum of topics. Such trending topics are usually derived from the most frequent searches, the published posts and the daily news. The automated analysis for such data requires topics detection and tracking methods. Many... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
SCOPUS_ID:84857822750 | A GA-based learning algorithm for inducing M-of-N-like text classifiers | This paper describes an extension of the classical M-of-N approach to text classification. The proposed hypothesis language is called M-of-N+. One distinguishing aspect of this language is its lattice-like structure, which defines a natural ordering in the hypothesis space useful to design effective search operators. T... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85144969107 | A GAN-BERT Based Approach for Bengali Text Classification with a Few Labeled Examples | Basic machine learning algorithms or transfer learning models work well for language categorization, but these models require a vast volume of annotated data. We need a better model to tackle the problem because labeled data is scarce. This problem may have a solution in GAN-BERT. To classify Bengali text, we have deve... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85073067095 | A GAN-based transfer learning approach for sentiment analysis | Transfer learning is an important artificial intelligence approach which extracts knowledge from source domain to solve tasks in the target domain. As a research hot topic, Generative Adversarial Networks (GAN) provides a powerful framework in constructing unsupervised models. A GAN consists of two neural networks: a d... | [
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Sentiment Analysis",
"Responsible & Trustworthy NLP"
] | [
52,
72,
58,
78,
4
] |
SCOPUS_ID:85135031214 | A GAT-Based Chinese Text Classification Model: Using of Redical Guidance and Association Between Characters Across Sentences | Cognitive psychology research has shown that humans tend to use objects in the abstract real world as cognition. For the Chinese in particular, the first thing to emerge from the process of writing formation is pictographs. This feature is very useful for Chinese text classification. Fortunately, many basic and extende... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85134011575 | A GAUSSIAN MIXTURE MODEL FOR DIALOGUE GENERATION WITH DYNAMIC PARAMETER SHARING STRATEGY | Existing dialog models are trained with data in an encoder-decoder framework with the same parameters, ignoring the multinomial distribution nature in the dataset. In fact, model improvement and development commonly requires fine-grained modeling on individual data subsets. However, collecting a labeled fine-grained di... | [
"Language Models",
"Semantic Text Processing",
"Dialogue Response Generation",
"Natural Language Interfaces",
"Text Clustering",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Information Extraction & Text Mining"
] | [
52,
72,
14,
11,
29,
47,
38,
3
] |
SCOPUS_ID:85145259278 | A GDPR Compliant Approach to Assign Risk Levels to Privacy Policies | Data privacy laws require service providers to inform their customers on how user data is gathered, used, protected, and shared. The General Data ProtectionRegulation (GDPR) is a legal framework that provides guidelines for collecting and processing personal information from individuals. Service providers use privacy p... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85135555379 | A GENERAL APPROACH FOR MEETING SUMMARIZATION: FROM SPEECH TO EXTRACTIVE SUMMARIZATION | Developing technologies and techniques have increased the amount of information and enabled easier access to information resources. However, due to the ever-growing amount of information sources, it has become difficult to access the information needed in a limited time. Consequently, the need for summary information h... | [
"Speech & Audio in NLP",
"Summarization",
"Multimodality",
"Text Generation",
"Information Extraction & Text Mining"
] | [
70,
30,
74,
47,
3
] |
SCOPUS_ID:85134029798 | A GENERALIZED HIERARCHICAL NONNEGATIVE TENSOR DECOMPOSITION | Nonnegative matrix factorization (NMF) has found many applications including topic modeling and document analysis. Hierarchical NMF (HNMF) variants are able to learn topics at various levels of granularity and illustrate their hierarchical relationship. Recently, nonnegative tensor factorization (NTF) methods have been... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:84923614552 | A GENERIC FRONT END FOR TEXT-TO-SPEECH SYNTHESIS SYSTEMS | This paper describes how the SPRUCE (Speech Response from Unconstrained English) system is capable of acting as a "front end" to any text-to-speech system whether it be based on diphones, phonemes, demi-syllables, syllables or even words. This is possible because the architecture of SPRUCE includes a large dictionary w... | [
"Speech & Audio in NLP",
"Multimodality"
] | [
70,
74
] |
SCOPUS_ID:85124613041 | A GERMAN “LINGUISTIC ISLAND” OR A LINGUISTICALLY MIXED REGION? MULTILINGUAL PRACTICES IN THE KOČEVSKA (GOTTSCHEE) AREA | The article calls into question the understanding of the Kočevska (Gottschee) area as a “German language island”. Through examples of the use of different languages before the SecondWorldWar, it shows a different –multilingual or multicultural– image of this region. The author draws data from historical andarchival sou... | [
"Multilinguality"
] | [
0
] |
SCOPUS_ID:84975721541 | A GF miniature resource grammar for Tswana: modelling the proper verb | The Grammatical Framework (GF) not only offers state of the art grammar-based machine translation support between an increasing number of languages through its so-called Resource Grammar Library, but is also fast becoming a de facto framework for developing multilingual controlled natural languages (CNLs). For a natura... | [
"Multilinguality"
] | [
0
] |
SCOPUS_ID:84915818700 | A GIS anchored system for clustering discrete data points – A connected graph based approach | Clustering is considered as one of the most important unsupervised learning problem which groups a set of data objects, in such way, so that the data objects belongs to the same group (known as cluster) are very similar to each other, compared to the data objects in another group (i.e. clusters). There is a wide variet... | [
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Text Clustering",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
80,
3,
50,
29,
4,
74
] |
SCOPUS_ID:51449099268 | A GIS-like training algorithm for log-linear models with hidden variables | Conditional random fields (CRFs) are often estimated using an entropy based criterion in combination with Generalized Iterative Scaling (GIS). GIS offers, upon others, the immediate advantages that it is locally convergent, completely parameter free, and guarantees an improvement of the criterion in each step. GIS, how... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:77958071591 | A GML compression approach based on on-line semantic clustering | Geography Markup Language (GML) has become a de facto international encoding standard for exchanging geospatial data among heterogeneous Geographic Information Systems (GIS). Whereas, structurally redundant tags and textual data representation usually inflate the sizes of GML documents substantially, which makes the st... | [
"Semantic Text Processing",
"Semantic Similarity",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
72,
53,
3,
29
] |
SCOPUS_ID:77953767491 | A GOMS model of virtual sociotechnical systems: Using video games to build cognitive models | Motivation - The present paper extends the use of GOMS models, described by Kieras (Kieras, 2007) as models of the knowledge necessary for an agent to perform a task, to complex sociotechnical processes involving multiple agents in strategic activities situated in a virtual environment. Research approach - The experime... | [
"Visual Data in NLP",
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Multimodality"
] | [
20,
2,
48,
74
] |
SCOPUS_ID:85110867478 | A GPT-2 language model for biomedical texts in Portuguese | Electronic health records (EHRs) contain patient-related information formed by structured and unstructured data, a valuable data source for Natural Language Processing (NLP) in the healthcare domain. The contextual word embeddings and Transformer-based models have proved their potential, reaching state-of-the-art for v... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:84980411174 | A GPU-based MapReduce framework for MSR-Bing Image Retrieval Challenge | This paper presents a large-scale image retrieval system based on an efficient Graphics Processing Units (GPU)-based MapReduce framework for the MSR-Bing Image Retrieval Challenge. The proposed system is designed for searching images and scoring image-query pairs based on their relevances efficiently and accurately. Un... | [
"Visual Data in NLP",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Multimodality"
] | [
20,
68,
4,
24,
74
] |
SCOPUS_ID:84859699943 | A GPU-based accelerator for chinese word segmentation | The task of Chinese word segmentation is to split sequence of Chinese characters into tokens so that the Chinese information can be more easily retrieved by web search engine. Due to the dramatic increase in the amount of Chinese literature in recent years, it becomes a big challenge for web search engines to analyze m... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85131255772 | A GRAPH ATTENTION INTERACTIVE REFINE FRAMEWORK WITH CONTEXTUAL REGULARIZATION FOR JOINTING INTENT DETECTION AND SLOT FILLING | Intent detection and slot filling are two important tasks for spoken language understanding. Considering the close relation between them, most existing methods joint them by sharing parameters or establishing explicit connection between them for potentially benefiting each other. However, most of them only consider sin... | [
"Semantic Text Processing",
"Semantic Parsing",
"Structured Data in NLP",
"Intent Recognition",
"Sentiment Analysis",
"Multimodality"
] | [
72,
40,
50,
79,
78,
74
] |
SCOPUS_ID:84902771083 | A GROPING VERSUS 'REAL VIOLENCE' IN COLOMBIA: Contrast as a minimisation strategy | This article explores discursive contrasts used to minimise a groping in Colombian newspaper forums. Analysis with critical discourse analysis and grounded theory shows that constant talk about 'real' violence in Colombia limits the groping to being seen primarily in contrast with more commonly discussed examples of cr... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:85082300845 | A GRU-Based Neural Machine Translation Followed by Proper Noun Transliteration | Neural machine translation has drastically improved the accuracy of machine translation in recent years. The issue of translating out-of-vocabulary proper nouns (OOV-NNP) is still a hindrance to the betterment of machine translation. In this paper, we introduce neural machine translation followed by Proper Noun Transli... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/1704.08430v2 | A GRU-Gated Attention Model for Neural Machine Translation | Neural machine translation (NMT) heavily relies on an attention network to produce a context vector for each target word prediction. In practice, we find that context vectors for different target words are quite similar to one another and therefore are insufficient in discriminatively predicting target words. The reaso... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Representation Learning",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
12,
47,
0
] |
SCOPUS_ID:85131357948 | A GSM Based Assistive Device for Blind, Deaf and Dumb | This paper tries to overcome the shortcomings of the recent technology that fails to enhance the communication between physically disabled people by designing an assistive device. This device uses a GSM modem with a SIM card and no smartphones are needed which makes the device affordable. Here, the sender sends the mes... | [
"Speech & Audio in NLP",
"Multimodality"
] | [
70,
74
] |
SCOPUS_ID:85063269305 | A Game Theory Approach for Multi-document Summarization | In today’s era, information has been growing exponentially on the web, due to which extraction of relevant and concise information has become a challenging task. To overcome the above problem, a fundamental tool known as summarization techniques has been used for understanding and organizing such large datasets. Recent... | [
"Semantic Text Processing",
"Linguistic Theories",
"Summarization",
"Knowledge Representation",
"Text Generation",
"Linguistics & Cognitive NLP",
"Information Extraction & Text Mining"
] | [
72,
57,
30,
18,
47,
48,
3
] |
https://aclanthology.org//W15-4720/ | A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation | [
"Text Generation"
] | [
47
] | |
http://arxiv.org/abs/1606.07711v4 | A Game-Theoretic Approach to Word Sense Disambiguation | This paper presents a new model for word sense disambiguation formulated in terms of evolutionary game theory, where each word to be disambiguated is represented as a node on a graph whose edges represent word relations and senses are represented as classes. The words simultaneously update their class membership prefer... | [
"Linguistics & Cognitive NLP",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Linguistic Theories"
] | [
48,
72,
65,
57
] |
http://arxiv.org/abs/2101.03269v1 | A Gamification of Japanese Dependency Parsing | Gamification approaches have been used as a way for creating language resources for NLP. It is also used for presenting and teaching the algorithms in NLP and linguistic phenomena. This paper argues about a design of gamification for Japanese syntactic dependendency parsing for the latter objective. The user interface ... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
SCOPUS_ID:85125296273 | A Gamified Approach to Automatically Detect Biased Wording and Train Critical Reading | Biased media has an effect on the public perception of occurring events. By altering word choice, outlets can alter beliefs and views. A gold standard data set is needed to train sufficient classifiers that detect biased wording. This work aims to develop a game that trains players to read news critically while collect... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85051071071 | A Gamified Approach to Naïve Bayes Classification: A Case Study for Newswires and Systematic Medical Reviews | Supervised machine learning algorithms require a set of labelled examples to be trained; however, the labelling process is a costly and time consuming task which is carried out by experts of the domain who label the dataset by means of an iterative process to filter out non-relevant objects of the dataset. In this pape... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2004.11464v1 | A Gamma-Poisson Mixture Topic Model for Short Text | Most topic models are constructed under the assumption that documents follow a multinomial distribution. The Poisson distribution is an alternative distribution to describe the probability of count data. For topic modelling, the Poisson distribution describes the number of occurrences of a word in documents of fixed le... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
http://arxiv.org/abs/1712.09509v1 | A Gap-Based Framework for Chinese Word Segmentation via Very Deep Convolutional Networks | Most previous approaches to Chinese word segmentation can be roughly classified into character-based and word-based methods. The former regards this task as a sequence-labeling problem, while the latter directly segments character sequence into words. However, if we consider segmenting a given sentence, the most intuit... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85137577544 | A Gaze into the Internal Logic of Graph Neural Networks, with Logic | Graph Neural Networks share with Logic Programming several key relational inference mechanisms. The datasets on which they are trained and evaluated can be seen as database facts containing ground terms. This makes possible modeling their inference mechanisms with equivalent logic programs, to better understand not jus... | [
"Programming Languages in NLP",
"Structured Data in NLP",
"Multimodality"
] | [
55,
50,
74
] |
SCOPUS_ID:0021386405 | A General Approach to Inference of Context-Free Programmed Grammars | A general approach to the context-free programmed grammars (CFPG) inference is proposed on the basis of inferability analysis. The method is applicable to a sufficiently large class of languages for a string pattern description in syntactic pattern recognition. Especially important is that languages with basic recursiv... | [
"Text Error Correction",
"Syntactic Text Processing",
"Programming Languages in NLP",
"Multimodality"
] | [
26,
15,
55,
74
] |
https://aclanthology.org//2020.webnlg-1.3/ | A General Benchmarking Framework for Text Generation | The RDF-to-text task has recently gained substantial attention due to the continuous growth of RDF knowledge graphs in number and size. Recent studies have focused on systematically comparing RDF-to-text approaches on benchmarking datasets such as WebNLG. Although some evaluation tools have already been proposed for te... | [
"Text Generation",
"Information Extraction & Text Mining"
] | [
47,
3
] |
http://arxiv.org/abs/2207.05948v1 | A General Contextualized Rewriting Framework for Text Summarization | The rewriting method for text summarization combines extractive and abstractive approaches, improving the conciseness and readability of extractive summaries using an abstractive model. Exiting rewriting systems take each extractive sentence as the only input, which is relatively focused but can lose necessary backgrou... | [
"Summarization",
"Paraphrasing",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
32,
47,
3
] |
SCOPUS_ID:85056622378 | A General Critical Discourse Analysis Framework for Educational Research | Critical discourse analysis (CDA) is a qualitative analytical approach for critically describing, interpreting, and explaining the ways in which discourses construct, maintain, and legitimize social inequalities. CDA rests on the notion that the way we use language is purposeful, regardless of whether discursive choice... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
http://arxiv.org/abs/1903.12356v1 | A General FOFE-net Framework for Simple and Effective Question Answering over Knowledge Bases | Question answering over knowledge base (KB-QA) has recently become a popular research topic in NLP. One popular way to solve the KB-QA problem is to make use of a pipeline of several NLP modules, including entity discovery and linking (EDL) and relation detection. Recent success on KB-QA task usually involves complex n... | [
"Semantic Text Processing",
"Question Answering",
"Knowledge Representation",
"Named Entity Recognition",
"Natural Language Interfaces",
"Information Extraction & Text Mining"
] | [
72,
27,
18,
34,
11,
3
] |
http://arxiv.org/abs/1911.03154v2 | A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation | Despite the success of neural machine translation (NMT), simultaneous neural machine translation (SNMT), the task of translating in real time before a full sentence has been observed, remains challenging due to the syntactic structure difference and simultaneity requirements. In this paper, we propose a general framewo... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/1610.02906v3 | A General Framework for Content-enhanced Network Representation Learning | This paper investigates the problem of network embedding, which aims at learning low-dimensional vector representation of nodes in networks. Most existing network embedding methods rely solely on the network structure, i.e., the linkage relationships between nodes, but ignore the rich content information associated wit... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
http://arxiv.org/abs/2111.14309v1 | A General Framework for Defending Against Backdoor Attacks via Influence Graph | In this work, we propose a new and general framework to defend against backdoor attacks, inspired by the fact that attack triggers usually follow a \textsc{specific} type of attacking pattern, and therefore, poisoned training examples have greater impacts on each other during training. We introduce the notion of the {\... | [
"Responsible & Trustworthy NLP",
"Structured Data in NLP",
"Robustness in NLP",
"Multimodality"
] | [
4,
50,
58,
74
] |
SCOPUS_ID:85116857883 | A General Framework for First Story Detection Utilizing Entities and Their Relations | News portals, such as Yahoo News or Google News, collect large amounts of news articles from a variety of sources on a daily basis. Only a small portion of these documents can be selected and displayed on the homepage. Thus, there is a strong preference for major, recent events. In this work, we propose a scalable Firs... | [
"Event Extraction",
"Information Extraction & Text Mining"
] | [
31,
3
] |
http://arxiv.org/abs/1909.06092v2 | A General Framework for Implicit and Explicit Debiasing of Distributional Word Vector Spaces | Distributional word vectors have recently been shown to encode many of the human biases, most notably gender and racial biases, and models for attenuating such biases have consequently been proposed. However, existing models and studies (1) operate on under-specified and mutually differing bias definitions, (2) are tai... | [
"Responsible & Trustworthy NLP",
"Semantic Text Processing",
"Robustness in NLP",
"Representation Learning"
] | [
4,
72,
58,
12
] |
http://arxiv.org/abs/1904.03296v1 | A General Framework for Information Extraction using Dynamic Span Graphs | We introduce a general framework for several information extraction tasks that share span representations using dynamically constructed span graphs. The graphs are constructed by selecting the most confident entity spans and linking these nodes with confidence-weighted relation types and coreferences. The dynamic span ... | [
"Multimodality",
"Structured Data in NLP",
"Coreference Resolution",
"Information Extraction & Text Mining"
] | [
74,
50,
13,
3
] |
http://arxiv.org/abs/2103.12615v1 | A General Framework for Learning Prosodic-Enhanced Representation of Rap Lyrics | Learning and analyzing rap lyrics is a significant basis for many web applications, such as music recommendation, automatic music categorization, and music information retrieval, due to the abundant source of digital music in the World Wide Web. Although numerous studies have explored the topic, knowledge in this field... | [
"Representation Learning",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality"
] | [
12,
72,
70,
74
] |
SCOPUS_ID:85074604960 | A General Framework for Multiple Choice Question Answering Based on Mutual Information and Reinforced Co-occurrence | As a result of the continuously growing volume of information available, browsing and querying of textual information in search of specific facts is currently a tedious task exacerbated by a reality where data presentation very often does not meet the needs of users. To satisfy these ever-increasing needs, we have desi... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:84936758447 | A General Hospital and its conceptions of madness | The aim of this article was to survey the conceptions of madness produced by professionals working in a general hospital. Procedures: conversation groups were conducted and the results were analyzed based on Discourse Analysis and Michel Foucault’s History of Madness. Conclusions: the structures of the asylums remain i... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:85148233661 | A General Linguistic Steganalysis Framework Using Multi-Task Learning | Prevailing linguistic steganalysis approaches focus on learning sensitive features to distinguish a particular category of steganographic texts from non-steganographic texts, by performing binary classification. While it remains an unsolved problem and poses a significant threat to the security of cyberspace when vario... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Ethical NLP",
"Responsible & Trustworthy NLP",
"Text Classification",
"Information Extraction & Text Mining"
] | [
80,
52,
72,
24,
17,
4,
36,
3
] |
SCOPUS_ID:85117367775 | A General Method for Transferring Explicit Knowledge into Language Model Pretraining | Recently, pretrained language models, such as Bert and XLNet, have rapidly advanced the state of the art on many NLP tasks. They can model implicit semantic information between words in the text. However, it is solely at the token level without considering the background knowledge. Intuitively, background knowledge inf... | [
"Language Models",
"Knowledge Representation",
"Semantic Text Processing"
] | [
52,
18,
72
] |
http://arxiv.org/abs/2010.11338v2 | A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks | Attention-based sequence-to-sequence modeling provides a powerful and elegant solution for applications that need to map one sequence to a different sequence. Its success heavily relies on the availability of large amounts of training data. This presents a challenge for speech applications where labelled speech data is... | [
"Multilinguality",
"Language Models",
"Low-Resource NLP",
"Machine Translation",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality",
"Text Generation",
"Speech Recognition",
"Responsible & Trustworthy NLP"
] | [
0,
52,
80,
51,
72,
70,
74,
47,
10,
4
] |
SCOPUS_ID:85026675326 | A General Multimedia Representation Space Model toward Event-Based Collective Knowledge Management | Emergent technologies such as smart phones and wireless Internet have transformed the Web from a static data publishing platform into a collaborative information sharing environment. Yet, attaining the next stage in Web engineering, i.e., the so-called Intelligent Web: allowing meaningful human-machine and machine-mach... | [
"Event Extraction",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Representation Learning"
] | [
31,
3,
72,
12
] |
SCOPUS_ID:85140765034 | A General Multiple Data Augmentation Based Framework for Training Deep Neural Networks | Deep neural networks (DNNs) often rely on massive labelled data for training, which is inaccessible in many applications. Data augmentation (DA) tackles data scarcity by creating new labelled data from available ones. Different DA methods have different mechanisms and therefore using their generated labelled data for D... | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
80,
4,
68
] |
SCOPUS_ID:85083178538 | A General Procedure for Improving Language Models in Low-Resource Speech Recognition | It is difficult for a language model (LM) to perform well with limited in-domain transcripts in low-resource speech recognition. In this paper, we mainly summarize and extend some effective methods to make the most of the out-of-domain data to improve LMs. These methods include data selection, vocabulary expansion, lex... | [
"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
] |
SCOPUS_ID:85066117874 | A General Process for the Semantic Annotation and Enrichment of Electronic Program Guides | Electronic Program Guides (EPGs) are usual resources aimed to inform the audience about the programming being transmitted by TV stations and cable/satellite TV providers. However, they only provide basic metadata about the TV programs, while users may want to obtain additional information related to the content they ar... | [
"Programming Languages in NLP",
"Semantic Text Processing",
"Representation Learning",
"Knowledge Representation",
"Multimodality"
] | [
55,
72,
12,
18,
74
] |
SCOPUS_ID:85139592245 | A General Purpose Turkish CLIP Model (TrCLIP) for Image&Text Retrieval and its Application to E-Commerce | In this paper, we introduce a Turkish adaption of CLIP (Contrastive Language-Image Pre-Training). Our approach is to train a model with the same output space as the Text encoder of the CLIP model while processing Turkish input. For this, we collected 2.5M unique English-Turkish data. The model we named TrCLIP performed... | [
"Visual Data in NLP",
"Low-Resource NLP",
"Multimodality",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
20,
80,
74,
24,
4
] |
http://arxiv.org/abs/cmp-lg/9801005v1 | A General, Sound and Efficient Natural Language Parsing Algorithm based on Syntactic Constraints Propagation | This paper presents a new context-free parsing algorithm based on a bidirectional strictly horizontal strategy which incorporates strong top-down predictions (derivations and adjacencies). From a functional point of view, the parser is able to propagate syntactic constraints reducing parsing ambiguity. From a computa... | [
"Responsible & Trustworthy NLP",
"Syntactic Text Processing",
"Green & Sustainable NLP"
] | [
4,
15,
68
] |
https://aclanthology.org//W11-1015/ | A General-Purpose Rule Extractor for SCFG-Based Machine Translation | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
http://arxiv.org/abs/1602.01635v2 | A Generalised Quantifier Theory of Natural Language in Categorical Compositional Distributional Semantics with Bialgebras | Categorical compositional distributional semantics is a model of natural language; it combines the statistical vector space models of words with the compositional models of grammar. We formalise in this model the generalised quantifier theory of natural language, due to Barwise and Cooper. The underlying setting is a c... | [
"Semantic Text Processing",
"Linguistic Theories",
"Text Classification",
"Representation Learning",
"Linguistics & Cognitive NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
57,
36,
12,
48,
24,
3
] |
SCOPUS_ID:85140793739 | A Generalized Approach to Protest Event Detection in German Local News | Protest events provide information about social and political conflicts, the state of social cohesion and democratic conflict management, as well as the state of civil society in general. Social scientists are therefore interested in the systematic observation of protest events. With this paper, we release the first Ge... | [
"Event Extraction",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
31,
24,
36,
3
] |
SCOPUS_ID:85034666604 | A Generalized Constraint Approach to Bilingual Dictionary Induction for Low-Resource Language Families | The lack or absence of parallel and comparable corpora makes bilingual lexicon extraction a difficult task for low-resource languages. The pivot language and cognate recognition approaches have been proven useful for inducing bilingual lexicons for such languages. We propose constraint-based bilingual lexicon induction... | [
"Multilinguality",
"Low-Resource NLP",
"Machine Translation",
"Text Generation",
"Responsible & Trustworthy NLP"
] | [
0,
80,
51,
47,
4
] |
http://arxiv.org/abs/1905.12790v2 | A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models | Undirected neural sequence models such as BERT (Devlin et al., 2019) have received renewed interest due to their success on discriminative natural language understanding tasks such as question-answering and natural language inference. The problem of generating sequences directly from these models has received relativel... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
http://arxiv.org/abs/1404.3377v1 | A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing | We introduce a novel approach for building language models based on a systematic, recursive exploration of skip n-gram models which are interpolated using modified Kneser-Ney smoothing. Our approach generalizes language models as it contains the classical interpolation with lower order models as a special case. In this... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
http://arxiv.org/abs/1901.11167v1 | A Generalized Language Model in Tensor Space | In the literature, tensors have been effectively used for capturing the context information in language models. However, the existing methods usually adopt relatively-low order tensors, which have limited expressive power in modeling language. Developing a higher-order tensor representation is challenging, in terms of ... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
http://arxiv.org/abs/1707.02892v1 | A Generalized Recurrent Neural Architecture for Text Classification with Multi-Task Learning | Multi-task learning leverages potential correlations among related tasks to extract common features and yield performance gains. However, most previous works only consider simple or weak interactions, thereby failing to model complex correlations among three or more tasks. In this paper, we propose a multi-task learnin... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
52,
80,
72,
24,
3,
36,
4
] |
http://arxiv.org/abs/1807.07779v1 | A Generalized Vector Space Model for Ontology-Based Information Retrieval | Named entities (NE) are objects that are referred to by names such as people, organizations and locations. Named entities and keywords are important to the meaning of a document. We propose a generalized vector space model that combines named entities and keywords. In the model, we take into account different ontologic... | [
"Knowledge Representation",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning"
] | [
18,
72,
24,
12
] |
https://aclanthology.org//W11-2902/ | A Generalized View on Parsing and Translation | [
"Machine Translation",
"Syntactic Text Processing",
"Syntactic Parsing",
"Text Generation",
"Multilinguality"
] | [
51,
15,
28,
47,
0
] | |
https://aclanthology.org//W06-1402/ | A Generation-Oriented Workbench for Performance Grammar: Capturing Linear Order Variability in German and Dutch | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:85138034032 | A Generative Adversarial Constraint Encoder-Decoder Model for the Text Summarization | As a new method of training generative models, Generative Adversarial Net(GAN) has problems when it is applied to the summary generator to generate discrete tokens. This paper considers introducing GAN into the Encoder stage and proposes a new framework EDA(Encoder-Decoder with Adversarial training) for text summarizat... | [
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Summarization",
"Text Generation",
"Responsible & Trustworthy NLP",
"Information Extraction & Text Mining"
] | [
52,
72,
58,
30,
47,
4,
3
] |
SCOPUS_ID:85081615010 | A Generative Adversarial Network Based Ensemble Technique for Automatic Evaluation of Machine Synthesized Speech | In this paper, we propose a method to automatically compute a speech evaluation metric, Virtual Mean Opinion Score (vMOS) for the speech generated by Text-to-Speech (TTS) models to analyse its human-ness. In contrast to the currently used manual speech evaluation techniques, the proposed method uses an end-to-end neura... | [
"Responsible & Trustworthy NLP",
"Speech & Audio in NLP",
"Robustness in NLP",
"Multimodality"
] | [
4,
70,
58,
74
] |
http://arxiv.org/abs/2204.05674v1 | A Generative Approach for Financial Causality Extraction | Causality represents the foremost relation between events in financial documents such as financial news articles, financial reports. Each financial causality contains a cause span and an effect span. Previous works proposed sequence labeling approaches to solve this task. But sequence labeling models find it difficult ... | [
"Information Extraction & Text Mining"
] | [
3
] |
http://arxiv.org/abs/2108.14006v1 | A Generative Approach for Mitigating Structural Biases in Natural Language Inference | Many natural language inference (NLI) datasets contain biases that allow models to perform well by only using a biased subset of the input, without considering the remainder features. For instance, models are able to make a classification decision by only using the hypothesis, without learning the true relationship bet... | [
"Reasoning",
"Textual Inference"
] | [
8,
22
] |
http://arxiv.org/abs/1711.06238v2 | A Generative Approach to Question Answering | Question Answering has come a long way from answer sentence selection, relational QA to reading and comprehension. We shift our attention to generative question answering (gQA) by which we facilitate machine to read passages and answer questions by learning to generate the answers. We frame the problem as a generative ... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
https://aclanthology.org//2020.ngt-1.9/ | A Generative Approach to Titling and Clustering Wikipedia Sections | We evaluate the performance of transformer encoders with various decoders for information organization through a new task: generation of section headings for Wikipedia articles. Our analysis shows that decoders containing attention mechanisms over the encoder output achieve high-scoring results by generating extractive... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning",
"Text Generation",
"Text Clustering",
"Information Extraction & Text Mining"
] | [
52,
72,
12,
47,
29,
3
] |
SCOPUS_ID:85128251238 | A Generative Approach to the Instructed Second Language Acquisition of Spanish se | This article focuses on the role of crosslinguistic patterns with verbs in the mapping of noun phrases/semantic roles to positions in morphosyntax, with a particular focus on second language (L2) development of Spanish se. The data set derives from high school learners of Spanish in the United States under broadly dedu... | [
"Reasoning",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
8,
48,
57
] |
http://arxiv.org/abs/2204.05356v1 | A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis | Sentiment analysis is an important task in natural language processing. In recent works, pre-trained language models are often used to achieve state-of-the-art results, especially when training data is scarce. It is common to fine-tune on the downstream task, usually by adding task-specific layers on top of the model. ... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Sentiment Analysis",
"Aspect-based Sentiment Analysis",
"Text Generation",
"Responsible & Trustworthy NLP"
] | [
52,
80,
72,
78,
23,
47,
4
] |
http://arxiv.org/abs/2202.13229v1 | A Generative Model for Relation Extraction and Classification | Relation extraction (RE) is an important information extraction task which provides essential information to many NLP applications such as knowledge base population and question answering. In this paper, we present a novel generative model for relation extraction and classification (which we call GREC), where RE is mod... | [
"Relation Extraction",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
75,
24,
36,
3
] |
SCOPUS_ID:85128324337 | A Generative Model for Topic Discovery and Polysemy Embeddings on Directed Attributed Networks | Combining topic discovery with topic-specific word embeddings is a popular, powerful method for text mining in a small collection of documents. However, the existing researches purely modeled on the contents of documents and led to discovering noisy topics. This paper proposes a generative model, the skip-gram topical ... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85113495310 | A Generative Text Summarization Model Based on Document Structure Neural Network | Aiming at the low accuracy of the automatic generation of text summaries in the field of data mining, as well as the defects of the existing encoder and decoder models, this paper proposes a generative text summarization model based on the document structure neural network. The model introduces the document structure, ... | [
"Language Models",
"Semantic Text Processing",
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
52,
72,
30,
47,
3
] |
http://arxiv.org/abs/2210.08692v2 | A Generative User Simulator with GPT-based Architecture and Goal State Tracking for Reinforced Multi-Domain Dialog Systems | Building user simulators (USs) for reinforcement learning (RL) of task-oriented dialog systems (DSs) has gained more and more attention, which, however, still faces several fundamental challenges. First, it is unclear whether we can leverage pretrained language models to design, for example, GPT-2 based USs, to catch u... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
52,
11,
72,
38
] |
http://arxiv.org/abs/1508.03826v1 | A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution | Most existing word embedding methods can be categorized into Neural Embedding Models and Matrix Factorization (MF)-based methods. However some models are opaque to probabilistic interpretation, and MF-based methods, typically solved using Singular Value Decomposition (SVD), may incur loss of corpus information. In addi... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
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