id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:84894432914 | A Bracketed Grid account of the Italian endecasillabo meter | This paper offers a generative account of the Italian endecasillabo meter, based on a revision of the Bracketed Grid Theory put forth in Fabb and Halle (2008). The aim is to define a single set of rules which are valid for each possible endecasillabo line, regardless of author and epoch. To do so, the paper analyzes a ... | [
"Linguistics & Cognitive NLP",
"Phonology",
"Syntactic Text Processing",
"Linguistic Theories"
] | [
48,
6,
15,
57
] |
http://arxiv.org/abs/2301.02809v1 | A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering | Reasoning and question answering as a basic cognitive function for humans, is nevertheless a great challenge for current artificial intelligence. Although the Differentiable Neural Computer (DNC) model could solve such problems to a certain extent, the development is still limited by its high algorithm complexity, slow... | [
"Language Models",
"Semantic Text Processing",
"Question Answering",
"Robustness in NLP",
"Natural Language Interfaces",
"Reasoning",
"Responsible & Trustworthy NLP"
] | [
52,
72,
27,
58,
11,
8,
4
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SCOPUS_ID:85098657036 | A Brazilian Portuguese Moral Foundations Dictionary for Fake News classification | The Moral Foundations Theory defines foundations to explain human moral reasoning and its role in the decision-making process, including how information is perceived and interpreted a problem related to aspects of moral values that is currently gaining notoriety is the spread of false information known as "Fake News". ... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Linguistics & Cognitive NLP",
"Linguistic Theories",
"Ethical NLP",
"Sentiment Analysis",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
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SCOPUS_ID:85083336402 | A Brazilian Portuguese Real-Time Voice Recognition to deal with sensitive data | Speech recognition is generally performed by a few cloud providers centrally. Such an approach is not suitable for financial and medical institutions because sensitive data cannot be provided openly to third parties. This work proposes a simple chatbot for Brazilian Portuguese real-time speech recognition, well-defined... | [
"Text Generation",
"Speech Recognition",
"Speech & Audio in NLP",
"Multimodality"
] | [
47,
10,
70,
74
] |
SCOPUS_ID:85149280294 | A Brief History of Deep Learning-Based Text Generation | A dynamic domain in Artificial Intelligence research, Natural Language Generation centres on the automatic generation of realistic text. To help navigate this vast and swiftly developing body of work, the study provides a concise overview of noteworthy stages in the history of text generation. To this end, the paper de... | [
"Language Models",
"Semantic Text Processing",
"Text Generation"
] | [
52,
72,
47
] |
SCOPUS_ID:85128677313 | A Brief Introduction of the Text Classification Methods | Text classification is basically to categorize text data into different groups. Text classification has been applied in various domains, including news filtering and organization, document organization and retrieval, opinion mining, and email classification and spam filtering. However, in the Era of Big Data, in which ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
https://aclanthology.org//W18-6601/ | A Brief Introduction to Natural Language Generation within Computational Creativity | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:85146488980 | A Brief Overview of Universal Sentence Representation Methods: A Linguistic View | How to transfer the semantic information in a sentence to a computable numerical embedding form is a fundamental problem in natural language processing. An informative universal sentence embedding can greatly promote subsequent natural language processing tasks. However, unlike universal word embeddings, a widely accep... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
http://arxiv.org/abs/1406.2903v2 | A Brief State of the Art for Ontology Authoring | One of the main challenges for building the Semantic web is Ontology Authoring. Controlled Natural Languages CNLs offer a user friendly means for non-experts to author ontologies. This paper provides a snapshot of the state-of-the-art for the core CNLs for ontology authoring and reviews their respective evaluations. | [
"Knowledge Representation",
"Semantic Text Processing"
] | [
18,
72
] |
SCOPUS_ID:85104983499 | A Brief Study on Approaches for Extractive Summarization | Moved by the cutting edge mechanical advancements, information is to this century what oil was to the past one. Today, our reality is dropped by the gettogether and spread of gigantic measures of data. With a particularly enormous measure of information flowing in the advanced space, there is a need to create Artificia... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
https://aclanthology.org//2021.sigdial-1.49/ | A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic loss | Neural models trained for next utterance generation in dialogue task learn to mimic the n-gram sequences in the training set with training objectives like negative log-likelihood (NLL) or cross-entropy. Such commonly used training objectives do not foster generating alternate responses to a context. But, the effects of... | [
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents",
"Representation Learning"
] | [
11,
72,
38,
12
] |
http://arxiv.org/abs/2009.12721v1 | A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution | Pronoun Coreference Resolution (PCR) is the task of resolving pronominal expressions to all mentions they refer to. Compared with the general coreference resolution task, the main challenge of PCR is the coreference relation prediction rather than the mention detection. As one important natural language understanding (... | [
"Coreference Resolution",
"Information Extraction & Text Mining"
] | [
13,
3
] |
SCOPUS_ID:85146120381 | A Brief Survey for Fake News Detection via Deep Learning Models | Social networks have become indispensable in people's lives. Despite the conveniences brought by social networks, the fake news on those online platforms also induces negative impacts and losses for users. With the development of deep learning technologies, detecting fake news in a data-driven manner has attracted grea... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Ethical NLP",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
"Responsible & Trustworthy NLP"
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3,
24,
17,
8,
46,
36,
4
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http://arxiv.org/abs/1905.05395v3 | A Brief Survey of Multilingual Neural Machine Translation | We present a survey on multilingual neural machine translation (MNMT), which has gained a lot of traction in the recent years. MNMT has been useful in improving translation quality as a result of knowledge transfer. MNMT is more promising and interesting than its statistical machine translation counterpart because end-... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85067831993 | A Brief Survey of Relation Extraction Based on Distant Supervision | As a core task and important part of Information ExtractionEntity Relation Extraction can realize the identification of the semantic relation between entity pairs. And it plays an important role in semantic understanding of sentences and the construction of entity knowledge base. It has the potential of employing dista... | [
"Relation Extraction",
"Information Extraction & Text Mining"
] | [
75,
3
] |
http://arxiv.org/abs/1707.02919v2 | A Brief Survey of Text Mining: Classification, Clustering and Extraction Techniques | The amount of text that is generated every day is increasing dramatically. This tremendous volume of mostly unstructured text cannot be simply processed and perceived by computers. Therefore, efficient and effective techniques and algorithms are required to discover useful patterns. Text mining is the task of extractin... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Text Clustering"
] | [
3,
24,
36,
29
] |
SCOPUS_ID:85144366055 | A Brief Survey of Textual Dialogue Corpora | Several dialogue corpora are currently available for research purposes, but they still fall short for the growing interest in the development of dialogue systems with their own specific requirements. In order to help those requiring such a corpus, this paper surveys a range of available options, in terms of aspects lik... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85104615509 | A Brief Survey of Word Embedding and Its Recent Development | Learning effective representations of text words has long been a research focus in natural language processing and other machine learning tasks. In many early tasks, a text word is often represented by a one-hot vector in a discrete manner. Such a solution is not only restricted by the dimension curse, but also unable ... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85123781470 | A Brief Survey of text driven image generation and maniulation | Text-to-image synthesis refers to the translation of textual description to images with similar semantic meaning. This process mainly relies on the correlation of text and image to find the best alignment between them. So, the recent development of generative models, especially GANs, using natural language as a conditi... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85002938839 | A Brief Tutorial on How to Extract Information from User-Generated Content (UGC) | In this brief tutorial, we provide an overview of investigating text-based user-generated content for information that is relevant in the corporate context. We structure the overall process along three stages: collection, analysis, and visualization. Corresponding to the stages we outline challenges and basic technique... | [
"Information Extraction & Text Mining"
] | [
3
] |
https://aclanthology.org//W89-0244/ | A Broad-Coverage Natural Language Analysis System | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] | |
SCOPUS_ID:85104874218 | A Building Topical 2-Gram Model: Discovering and Visualizing the Topics Using Frequent Pattern Mining | The current decade is witnessing a visible escalation in publications at almost all domains. In turn, the Reviewer Assignment Problem (RAP) is attracting the attention of researchers for assigning a set of received papers to the most appropriate experts for fair and accurate reviews. The process of assigning the review... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85099882847 | A Burmese Dependency Parsing Method Based on Transfer Learning | Dependency parsing is a fundmental task in natural language processing(NLP). Burmese belongs to a low resource language with a special language structure, therefore, it exists the problems with extremely lacking of high quality data for Burmese dependency parsing and the inaccurate representation of semantic. We propos... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
52,
72,
28,
15
] |
SCOPUS_ID:85063463541 | A Business Card Reader Application for iOS devices based on Tesseract | As the accessibility of high-resolution smartphone camera has increased and an improved computational speed, it is now convenient to build Business Card Readers on mobile phones. The project aims to design and develop a Business Card Reader (BCR) Application for iOS devices, using an open-source OCR Engine-Tesseract. T... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85076842892 | A Business Reputation Methodology Using Social Network Analysis | Nowadays, every facet of people’s lifestyle is impacted by the continuous use of technologies and in particular the Internet. Social interactions have been radically changed since new technologies have removed communication barriers. The obstacles of time and space have been overcome, letting people from different plac... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85147914362 | A Business Workflow For Providing Open-Domain Question Answering Reader Systems on The Wikipedia Dataset | In a variety of sectors, we observe the emerging need for responding to user questions in a fast and efficient manner. We argue that addressing this need by developing question answering reader system applications will lead to several benefits: a) the density of call centers is reduced, and b) time is saved by getting ... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
http://arxiv.org/abs/1809.08386v1 | A Byte-sized Approach to Named Entity Recognition | In biomedical literature, it is common for entity boundaries to not align with word boundaries. Therefore, effective identification of entity spans requires approaches capable of considering tokens that are smaller than words. We introduce a novel, subword approach for named entity recognition (NER) that uses byte-pair... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85090388469 | A C-BiLSTM approach to classify construction accident reports | The construction sector is widely recognized as having the most hazardous working environment among the various business sectors, and many research studies have focused on injury prevention strategies for use on construction sites. The risk-based theory emphasizes the analysis of accident causes extracted from accident... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/1511.08630v2 | A C-LSTM Neural Network for Text Classification | Neural network models have been demonstrated to be capable of achieving remarkable performance in sentence and document modeling. Convolutional neural network (CNN) and recurrent neural network (RNN) are two mainstream architectures for such modeling tasks, which adopt totally different ways of understanding natural la... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
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52,
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12,
24,
3
] |
SCOPUS_ID:85078030788 | A C-LSTM with word embedding model for news text classification | Traditional text classification methods are based on statistics and feature selection. It does not perform well in processing large - scale corpus. In recent years, with the rapid development of deep learning and artificial neural networks, many scholars use them to solve text classification problems and achieve good r... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
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12,
24,
3
] |
SCOPUS_ID:85027437137 | A C4.5 algorithm for english emotional classification | The solutions for processing sentiment analysis are very important and very helpful for many researchers, many applications, etc. This new model has been proposed in this paper, used in the English document-level sentiment classification. In this research, we propose a new model using C4.5 Algorithm of a decision tree ... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:84901687300 | A CAPTCHA scheme based on the identification of character locations | CAPTCHAs are a standard security mechanism used on many websites to protect online services against abuse by automated programs, or bots. The purpose of a CAPTCHA is to distinguish whether an online transaction is being carried out by a human or a bot. Unfortunately, to date many existing CAPTCHA schemes have been foun... | [
"Syntactic Text Processing",
"Text Segmentation",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
15,
21,
58,
4
] |
SCOPUS_ID:84874277234 | A CAPTCHA with tips related to alphabets upper or lower case | Due to the ubiquity of web browsers and the dramatic development of dynamic web pages, web applications become the most popular computing model for providing services over the Internet. Unfortunately, this type of systems is vulnerable to the attacks issued by automated programs. CAPTCHA, a challenge-response test, is ... | [
"Visual Data in NLP",
"Programming Languages in NLP",
"Robustness in NLP",
"Multimodality",
"Responsible & Trustworthy NLP"
] | [
20,
55,
58,
74,
4
] |
SCOPUS_ID:85124373539 | A CASE STUDY ON PICTURE BOOK APPLICATION FOR CHILDREN AS SEMIOTIC TECHNOLOGY IN REPRESENTING ASIAN IDENTITIES | Digital book applications have emerged as new formats of picture books, with an integration of digitally mediated resources to construct meaning. These picture book apps are written artefacts that contain cultural messages and values about the world that children live in. Dually, as semiotic artefacts, they consist of ... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85134786399 | A CBR for integrating sentiment and stress analysis for guiding users on social network sites | This work presents a Case-Based Reasoning (CBR) module that integrates sentiment and stress analysis on text and keystroke dynamics data with context information of users interacting on Social Network Sites (SNSs). The context information used in this work is the history of positive or negative messages of the user, an... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85070220139 | A CCD based machine vision system for real-time text detection | Text detection and recognition is a hot topic in computer vision, which is considered to be the further development of the traditional optical character recognition (OCR) technology. With the rapid development of machine vision system and the wide application of deep learning algorithms, text recognition has achieved e... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
https://aclanthology.org//W12-5302/ | A CCG-based Approach to Fine-Grained Sentiment Analysis | [
"Sentiment Analysis"
] | [
78
] | |
SCOPUS_ID:84900403629 | A CDA representation of the May 31, 2010 Gaza-bound aid flotilla raid: Portrayal of the events and actors | News media as both a site and a process of social interaction and ideological construction (van Dijk 1993) play a unique role and carry a signifying power in structuring social thinking and disseminating social knowledge on issues related to national or international agendas, and in representing events in particular wa... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Representation Learning"
] | [
71,
72,
12
] |
SCOPUS_ID:85026675242 | A CDT-styled end-to-end Chinese discourse parser | Discourse parsing is a challenging task and plays a critical role in discourse analysis. Since the release of the Rhetorical Structure Theory Discourse Treebank and the Penn Discourse Treebank, the research on English discourse parsing has attracted increasing attention and achieved considerable success in recent years... | [
"Semantic Text Processing",
"Semantic Parsing",
"Syntactic Text Processing",
"Discourse & Pragmatics",
"Syntactic Parsing"
] | [
72,
40,
15,
71,
28
] |
SCOPUS_ID:85148895038 | A CENTURY OF HAPPINESS IN CHILDREN'S LITERATURE (1920-2020): A STALINIST CANON AND ITS LONG TERM CONSEQUENCES | In the Stalin era, the category of happiness was sharply politicized, and a new canon of representation of Soviet happiness was established in literature and cinema. The article presents empirical data that permits a quantitative evaluation of the scale and nature of the Stalinist transformation of the happiness narrat... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:84958538703 | A CFS-based feature weighting approach to naive bayes text classifiers | Recent work in supervised learning has shown that naive Bayes text classifiers with strong assumptions of independence among features, such as multinomial naive Bayes (MNB), complement naive Bayes (CNB) and the one-versus-all-but-one model (OVA), have achieved remarkable classification performance. This fact raises the... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85131263063 | A CHARACTER-LEVEL SPAN-BASED MODEL FOR MANDARIN PROSODIC STRUCTURE PREDICTION | The accuracy of prosodic structure prediction is crucial to the naturalness of synthesized speech in Mandarin text-to-speech system, but now is limited by widely-used sequence-to-sequence framework and error accumulation from previous word segmentation results. In this paper, we propose a span-based Mandarin prosodic s... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Text Segmentation",
"Multimodality"
] | [
52,
72,
70,
15,
21,
74
] |
http://arxiv.org/abs/2110.07137v1 | A CLIP-Enhanced Method for Video-Language Understanding | This technical report summarizes our method for the Video-And-Language Understanding Evaluation (VALUE) challenge (https://value-benchmark.github.io/challenge\_2021.html). We propose a CLIP-Enhanced method to incorporate the image-text pretrained knowledge into downstream video-text tasks. Combined with several other i... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85081688143 | A CLSTM-TMN for marketing intention detection | In recent years, neural network-based models such as machine learning and deep learning have achieved excellent results in text classification. On the research of marketing intention detection, classification measures are adopted to identify news with marketing intent. However, most of current news appears in the form ... | [
"Language Models",
"Topic Modeling",
"Semantic Text Processing",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
9,
72,
24,
36,
3
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SCOPUS_ID:84983670765 | A CMAC-based scheme for determining membership with classification of text strings | Membership determination of text strings has been an important procedure for analyzing textual data of a tremendous amount, especially when time is a crucial factor. Bloom filter has been a well-known approach for dealing with such a problem because of its succinct structure and simple determination procedure. As deter... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85140720269 | A CNN-Based Born-Again TSK Fuzzy Classifier Integrating Soft Label Information and Knowledge Distillation | This paper proposes a CNN-based born-again Takagi-Sugeno-Kang (TSK) fuzzy classifier denoted as CNNBaTSK. CNNBaTSK achieves the following distinctive characteristics: 1) CNNBaTSK provides a new perspective of knowledge distillation with a non-iterative learning method (least learning machine with knowledge distillation... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP",
"Text Classification",
"Green & Sustainable NLP"
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52,
72,
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3,
81,
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68
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SCOPUS_ID:85060020728 | A CNN-Based approach to detecting text from images of whiteboards and handwritten notes | Detecting handwritten text from images of whiteboards and handwritten notes is an important yet under-researched topic. In this paper, we propose a convolutional neural network (CNN) based approach to address this problem. First, to detect text instances of different scales, a feature pyramid network is adopted as a ba... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85073276861 | A CNN-BiLSTM Model for Document-Level Sentiment Analysis | Document-level sentiment analysis is a challenging task given the large size of the text, which leads to an abundance of words and opinions, at times contradictory, in the same document. This analysis is particularly useful in analyzing press articles and blog posts about a particular product or company, and it require... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis",
"Representation Learning"
] | [
52,
72,
78,
12
] |
SCOPUS_ID:85079838755 | A CNN-LSTM network with attention approach for learning universal sentence representation in embedded system | The model for obtaining universal sentence representation is getting larger and larger, making it unsuitable for small embedded systems. The paper presents an extended encoder-decoder model with introduced an attention mechanism for learning distributed sentence representation. We can extract the CNN encoder and apply ... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning"
] | [
52,
72,
12
] |
SCOPUS_ID:85126951190 | A CNN-RNN Based Fake News Detection Model Using Deep Learning | False news has become widespread in the last decade in political, economic, and social dimensions. This has been aided by the deep entrenchment of social media networking in these dimensions. Facebook and Twitter have been known to influence the behavior of people significantly. People rely on news/information posted o... | [
"Language Models",
"Semantic Text Processing",
"Ethical NLP",
"Reasoning",
"Fact & Claim Verification",
"Responsible & Trustworthy NLP"
] | [
52,
72,
17,
8,
46,
4
] |
SCOPUS_ID:85070822006 | A CNN-based feature extraction scheme for patent analysis | The traditional patent analysis is largely based on the probability analysis method. In this paper, we propose a novel scheme to extract features of the patent text based on an improved Convolutional Neural Network (CNN) for text processing. It integrates text mining techniques and Vector Space Modeling (VSM) for disco... | [
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Representation Learning"
] | [
3,
72,
12
] |
http://arxiv.org/abs/1907.10210v1 | A CNN-based tool for automatic tongue contour tracking in ultrasound images | For speech research, ultrasound tongue imaging provides a non-invasive means for visualizing tongue position and movement during articulation. Extracting tongue contours from ultrasound images is a basic step in analyzing ultrasound data but this task often requires non-trivial manual annotation. This study presents an... | [
"Visual Data in NLP",
"Speech & Audio in NLP",
"Multimodality"
] | [
20,
70,
74
] |
SCOPUS_ID:85121795531 | A CNN-transformer hybrid approach for decoding visual neural activity into text | Background and Objective: Most studies used neural activities evoked by linguistic stimuli such as phrases or sentences to decode the language structure. However, compared to linguistic stimuli, it is more common for the human brain to perceive the outside world through non-linguistic stimuli such as natural images, so... | [
"Language Models",
"Multimodality",
"Semantic Text Processing",
"Visual Data in NLP"
] | [
52,
74,
72,
20
] |
SCOPUS_ID:85129563160 | A COGNITIVE APPROACH IN ONOMASTICS: SOME NOTES ON METAPHORICAL PLACE-NAMES | In the framework of cognitive linguistics, metaphor is considered as a general cognitive mechanism that plays a fundamental role in human thinking and understanding, in the creation of our social, cultural, and psychological reality, while also impacting our language use. One of its special types, the image metaphor, a... | [
"Visual Data in NLP",
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Multimodality"
] | [
20,
2,
48,
74
] |
SCOPUS_ID:85127982573 | A COMPARATIVE ANALYSIS OF THE LINGUISTIC COMPLEXITY OF GRADE 12 ENGLISH HOME LANGUAGE AND ENGLISH FIRST ADDITIONAL LANGUAGE EXAMINATION PAPERS | It is expected that English Home Language (Eng HL), as a subject, is more complex than English First Additional Language (Eng FAL). This article aims to uncover the reality of this expectation by comparatively investigating the linguistic complexity of texts used for reading comprehension and summaries in the final sch... | [
"Reasoning",
"Semantic Text Processing",
"Text Complexity",
"Machine Reading Comprehension"
] | [
8,
72,
42,
37
] |
SCOPUS_ID:0009586820 | A COMPARATIVE STUDY BETWEEN POLYCLASS AND MULTICLASS LANGUAGE MODELS | In this work, we introduce the concept of Multiclass for language modeling and we compare it to the Polyclass model. The originality of the Multiclass is its capability to parse a string of classes/tags into variable length independent sequences. A few experimental tests were carried out on a class corpus extracted fro... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85125633839 | A CONCEPTUAL MODEL FOR DECISION SUPPORT SYSTEMS USING ASPECT BASED SENTIMENT ANALYSIS | Sentiment analysis and opinion mining is the most explored area of research where an opinion has been analysed for better decision and recommendation. Currently this field has been supported by many decision support systems that not only depend on the preferences of a decision support system (DSS) designer but also aff... | [
"Sentiment Analysis",
"Aspect-based Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
78,
23,
3
] |
SCOPUS_ID:0344236118 | A CONSOLIDATED LANGUAGE MODEL FOR SPEECH RECOGNITION | Hybrid speech recognition systems using both bigram and grammar models yield improved performance compared with the use of either model alone, but performance is suboptimal because the grammar is abandoned for sentences that fail to parse overall. By merging bigrams (in general n-grams) and grammars into a single frame... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
SCOPUS_ID:85117287067 | A COPRA based algorithm for subject division | [Purpose/Significance] Online encyclopedias such as Wikipedia include a large number of concepts. However, in such encyclopedias, there are no clear divisions between concepts and concepts, between concepts and disciplines, and between disciplines and disciplines. It embarrasses junior researchers regarding a certain d... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85034647767 | A CRF based machine learning approach for biomedical named entity recognition | The amount of biomedical textual information available in the web becomes more and more. It is very difficult to extract the right information that users are interested in considering the size of documents in the biomedical literatures and databases. It is nearly impossible for human to process all these data and it is... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85049373010 | A CRF-based stacking model with meta-features for named entity recognition | Named Entity Recognition (NER) is a challenging task in Natural Language Processing. Recently, machine learning based methods are widely used for the NER task and outperform traditional handcrafted rule based methods. As an alternative way to handle the NER task, stacking, which combines a set of classifiers into one ... | [
"Named Entity Recognition",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
34,
24,
36,
3
] |
SCOPUS_ID:85041440638 | A CRFs-based approach empowered with word representation features to learning biomedical named entities from medical text | Targeting at identifying specific types of entities, biomedical named entity recognition is a fundamental task of biomedical text processing. This paper presents a CRFs-based approach to learning disease entities by identifying their boundaries in texts. Two types of word representation features are proposed and used i... | [
"Named Entity Recognition",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Representation Learning"
] | [
34,
3,
72,
12
] |
SCOPUS_ID:85140308570 | A CRITICAL DISCURSIVE ANALYSIS ON THE REPRESENTATION OF WOMEN AND ABORTION IN REVISTA AZMINA | In this paper we investigate the discursive representations of abortion and women who had abortions within the journalistic practice. Among the various facets of the subject, in this paper we will discuss the legal or decriminalized practice in Brazil. For this, we selected seven texts from Revista AzMina. We undertook... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Representation Learning"
] | [
71,
72,
12
] |
SCOPUS_ID:84904067583 | A CUDA implementation of the Continuous Space Language Model | The training phase of the Continuous Space Language Model (CSLM) was implemented in the NVIDIA hardware/software architecture Compute Unified Device Architecture (CUDA). A detailed explanation of the CSLM algorithm is provided. Implementation was accomplished using a combination of CUBLAS library routines, NVIDIA NPP f... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85078940909 | A CURE algorithm for Vietnamese sentiment classification in a parallel environment | Solutions to process big data are imperative and beneficial for numerous fields of research and commercial applications. Thus, a new model has been proposed in this paper to be used for big data set sentiment classification in the Cloudera parallel network environment. Clustering Using Representatives (CURE), combined ... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85045282794 | A CWTM Model of Topic Extraction for Short Text | The topic model is designed to find potential topics from the massive micro-blog data. On the one hand, the extraction of potential topics contributes to the next analysis. On the other hand, because of the particularity of the data, we can not deal with it directly with the traditional topic model algorithm. In the fi... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
https://aclanthology.org//W14-4011/ | A CYK+ Variant for SCFG Decoding Without a Dot Chart | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
SCOPUS_ID:0025446887 | A Cache-Based Natural Language Model for Speech Recognition | Speech recognition systems must often decide between competing ways of breaking up the acoustic input into strings of words. Since the possible strings may be acoustically similar, a language model is required; given a word string, the model returns its linguistic probability. This paper discusses several Markov langua... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
SCOPUS_ID:85108905924 | A Call Center System based on Expert Systems for the Acquisition of Agricultural Knowledge Transferred from Text-to-Speech in China | There is rich knowledge in expert systems that can be used to solve practical problems, but its promotion and application must rely on information facilities. The application of both computers and the Internet for Chinese farmers are not common, which leads to restrictions on the promotion and application of expert sys... | [
"Knowledge Representation",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality"
] | [
18,
72,
70,
74
] |
https://aclanthology.org//W18-6319/ | A Call for Clarity in Reporting BLEU Scores | The field of machine translation faces an under-recognized problem because of inconsistency in the reporting of scores from its dominant metric. Although people refer to “the” BLEU score, BLEU is in fact a parameterized metric whose values can vary wildly with changes to these parameters. These parameters are often not... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/2004.14958v1 | A Call for More Rigor in Unsupervised Cross-lingual Learning | We review motivations, definition, approaches, and methodology for unsupervised cross-lingual learning and call for a more rigorous position in each of them. An existing rationale for such research is based on the lack of parallel data for many of the world's languages. However, we argue that a scenario without any par... | [
"Multilinguality",
"Low-Resource NLP",
"Cross-Lingual Transfer",
"Responsible & Trustworthy NLP"
] | [
0,
80,
19,
4
] |
http://arxiv.org/abs/1905.10453v2 | A Call for Prudent Choice of Subword Merge Operations in Neural Machine Translation | Most neural machine translation systems are built upon subword units extracted by methods such as Byte-Pair Encoding (BPE) or wordpiece. However, the choice of number of merge operations is generally made by following existing recipes. In this paper, we conduct a systematic exploration on different numbers of BPE merge... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85145881776 | A Cancel Culture Corpus through the lens of Natural Language Processing | Cancel Culture as an Internet phenomenon has been previously explored from a social and legal science perspective. This paper demonstrates how Natural Language Processing tasks can be derived from this previous work, underlying techniques on how cancel culture can be measured, identified and evaluated. As part of this ... | [
"Emotion Analysis",
"Sentiment Analysis"
] | [
61,
78
] |
https://aclanthology.org//1999.mtsummit-1.71/ | A Cantonese-English machine translation system PolyU-MT-99 | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
http://arxiv.org/abs/1808.04122v3 | A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization | In this paper, we introduce an embedding model, named CapsE, exploring a capsule network to model relationship triples (subject, relation, object). Our CapsE represents each triple as a 3-column matrix where each column vector represents the embedding of an element in the triple. This 3-column matrix is then fed to a c... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Knowledge Representation",
"Information Retrieval",
"Multimodality"
] | [
72,
50,
12,
18,
24,
74
] |
http://arxiv.org/abs/1804.04266v2 | A Capsule Network-based Embedding Model for Search Personalization | Search personalization aims to tailor search results to each specific user based on the user's personal interests and preferences (i.e., the user profile). Recent research approaches to search personalization by modelling the potential 3-way relationship between the submitted query, the user and the search results (i.e... | [
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning"
] | [
72,
24,
12
] |
http://arxiv.org/abs/1911.04822v2 | A Capsule Network-based Model for Learning Node Embeddings | In this paper, we focus on learning low-dimensional embeddings for nodes in graph-structured data. To achieve this, we propose Caps2NE -- a new unsupervised embedding model leveraging a network of two capsule layers. Caps2NE induces a routing process to aggregate feature vectors of context neighbors of a given target n... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85076057926 | A Cartographic Fiction: Béroalde de Verville, Le Voyage des princes fortunez | Maurice Bouguereau hired Gabriel Tavernierto to help him complete an atlas designed and destined for Henry IV of Navarre. The atlas would bring before the eyes of the King the sum of the provinces, regions, cities and rivers and, no less, a sense of the nation. Henry would have at his behest an instrument vital for tac... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
http://arxiv.org/abs/2010.03722v1 | A Cascade Approach to Neural Abstractive Summarization with Content Selection and Fusion | We present an empirical study in favor of a cascade architecture to neural text summarization. Summarization practices vary widely but few other than news summarization can provide a sufficient amount of training data enough to meet the requirement of end-to-end neural abstractive systems which perform content selectio... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85128613061 | A Cascade Binary Tagging Joint Extraction Method | Extracting entities and relations from unstructured text has become a significant task in natural processing, especially knowledge graphs. However, the traditional relationship extraction method processes this task in a pipelined manner, i.e., identifying entity first and then recognizing their relations, and rarely co... | [
"Tagging",
"Relation Extraction",
"Syntactic Text Processing",
"Information Extraction & Text Mining"
] | [
63,
75,
15,
3
] |
http://arxiv.org/abs/2207.01672v1 | A Cascade Model for Argument Mining in Japanese Political Discussions: the QA Lab-PoliInfo-3 Case Study | The rVRAIN team tackled the Budget Argument Mining (BAM) task, consisting of a combination of classification and information retrieval sub-tasks. For the argument classification (AC), the team achieved its best performing results with a five-class BERT-based cascade model complemented with some handcrafted rules. The r... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Question Answering",
"Natural Language Interfaces",
"Argument Mining",
"Reasoning",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
27,
11,
60,
8,
36,
3
] |
https://aclanthology.org//W19-4502/ | A Cascade Model for Proposition Extraction in Argumentation | We present a model to tackle a fundamental but understudied problem in computational argumentation: proposition extraction. Propositions are the basic units of an argument and the primary building blocks of most argument mining systems. However, they are usually substituted by argumentative discourse units obtained via... | [
"Syntactic Text Processing",
"Argument Mining",
"Reasoning",
"Text Segmentation",
"Information Extraction & Text Mining"
] | [
15,
60,
8,
21,
3
] |
SCOPUS_ID:85104199857 | A Cascaded Unsupervised Model for PoS Tagging | Part of speech (PoS) tagging is one of the fundamental syntactic tasks in Natural Language Processing, as it assigns a syntactic category to each word within a given sentence or context (such as noun, verb, adjective, etc.). Those syntactic categories could be used to further analyze the sentence-level syntax (e.g., de... | [
"Low-Resource NLP",
"Morphology",
"Syntactic Text Processing",
"Tagging",
"Responsible & Trustworthy NLP"
] | [
80,
73,
15,
63,
4
] |
SCOPUS_ID:85121918723 | A Case Knowledge Extraction Method for Chinese Legal Texts | For judicial practitioners and ordinary citizens, it is very difficult to accurately find relevant jurisprudence or case information from a large amount of text. Therefore, it is necessary to extract information that people are generally concerned with from existing semi-structured or unstructured legal texts, store th... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85149104320 | A Case Study Analysis of Modifications of Argumentation Structures as a Result of Translation from German into Czech | The paper will focus on the analysis of selected linguistic markers of argumentation structures in Czech and German. On the basis of corpus-based analysis, I work with the assumption that argumentation structures are one of the parameters of equivalence in translation. The theoretical starting point for this analysis i... | [
"Machine Translation",
"Text Generation",
"Argument Mining",
"Reasoning",
"Multilinguality"
] | [
51,
47,
60,
8,
0
] |
https://aclanthology.org//W13-2126/ | A Case Study Towards Turkish Paraphrase Alignment | [
"Paraphrasing",
"Text Generation"
] | [
32,
47
] | |
http://arxiv.org/abs/2111.02259v2 | A Case Study and Qualitative Analysis of Simple Cross-Lingual Opinion Mining | User-generated content from social media is produced in many languages, making it technically challenging to compare the discussed themes from one domain across different cultures and regions. It is relevant for domains in a globalized world, such as market research, where people from two nations and markets might have... | [
"Multilinguality",
"Opinion Mining",
"Cross-Lingual Transfer",
"Sentiment Analysis"
] | [
0,
49,
19,
78
] |
SCOPUS_ID:85146197091 | A Case Study and Qualitative Analysis of Simple Cross-lingual Opinion Mining | User-generated content from social media is produced in many languages, making it technically challenging to compare the discussed themes from one domain across different cultures and regions. It is relevant for domains in a globalized world, such as market research, where people from two nations and markets might have... | [
"Multilinguality",
"Topic Modeling",
"Opinion Mining",
"Sentiment Analysis",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] | [
0,
9,
49,
78,
19,
3
] |
http://arxiv.org/abs/2302.01842v1 | A Case Study for Compliance as Code with Graphs and Language Models: Public release of the Regulatory Knowledge Graph | The paper presents a study on using language models to automate the construction of executable Knowledge Graph (KG) for compliance. The paper focuses on Abu Dhabi Global Market regulations and taxonomy, involves manual tagging a portion of the regulations, training BERT-based models, which are then applied to the rest ... | [
"Language Models",
"Programming Languages in NLP",
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Multimodality"
] | [
52,
55,
72,
50,
18,
74
] |
SCOPUS_ID:84988835204 | A Case Study in Big Data Analytics: Exploring Twitter Sentiment Analysis and the Weather | The age of social media is upon us. People around the world use social media tools such as Twitter to broadcast their moods, opinions, and status. It is possible to gage the sentiment of people by analyzing tweets using machine-learning approaches. The question that is explored in this chapter is whether the weather im... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85094924793 | A Case Study in Comparative Speech-to-Text Libraries for Use in Transcript Generation for Online Education Recordings | With a proliferation of Cloud based Speech-to-Text services it can be difficult to decide where to start and how to make use of these technologies. These include the major Cloud providers as well as several Open Source Speech-to-Text projects available. We desired to investigate a sample of the available libraries and ... | [
"Text Generation",
"Speech & Audio in NLP",
"Speech Recognition",
"Multimodality"
] | [
47,
70,
10,
74
] |
https://aclanthology.org//W98-0510/ | A Case Study in Implementing Dependency-Based Grammars | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] | |
SCOPUS_ID:85091979134 | A Case Study in Multi-Emotion Classification via Twitter | Social media platforms generate continuously tremendous quantities of valuable knowledge for users' perspectives towards our global societies for example, Twitter. Sentiment analysis reveals its vital role to take the advantage of these different perspectives for different applications like, political votes, business d... | [
"Text Classification",
"Sentiment Analysis",
"Emotion Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
78,
61,
24,
3
] |
https://aclanthology.org//1997.iwpt-1.24/ | A Case Study in Optimizing Parsing Schemata by Disambiguation Filters | Disambiguation methods for context-free grammars enable concise specification of programming languages by ambiguous grammars. A disambiguation filter is a function that selects a subset from a set of parse trees the possible parse trees for an ambiguous sentence. The framework of filters provides a declarative descript... | [
"Responsible & Trustworthy NLP",
"Syntactic Parsing",
"Syntactic Text Processing",
"Green & Sustainable NLP"
] | [
4,
28,
15,
68
] |
http://arxiv.org/abs/1408.5427v1 | A Case Study in Text Mining: Interpreting Twitter Data From World Cup Tweets | Cluster analysis is a field of data analysis that extracts underlying patterns in data. One application of cluster analysis is in text-mining, the analysis of large collections of text to find similarities between documents. We used a collection of about 30,000 tweets extracted from Twitter just before the World Cup st... | [
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
81,
4,
3,
29
] |
SCOPUS_ID:85140580922 | A Case Study of Big Data Technology on Chinese Phonology | Chinese, as a language, has developed for thousands of years. Not only the shape and meaning of the characters have changed, but also the pronunciation has changed a lot. In order to deeply reveal the evolution law of Chinese language and pronunciation, and to realize the innovation and breakthrough of Chinese phonolog... | [
"Phonetics",
"Phonology",
"Syntactic Text Processing"
] | [
64,
6,
15
] |
http://arxiv.org/abs/2210.17452v1 | A Case Study of Chinese Sentiment Analysis on Social Media Reviews Based on LSTM | Network public opinion analysis is obtained by a combination of natural language processing (NLP) and public opinion supervision, and is crucial for monitoring public mood and trends. Therefore, network public opinion analysis can identify and solve potential and budding social problems. This study aims to realize an a... | [
"Language Models",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
52,
72,
78
] |
http://arxiv.org/abs/2106.14332v1 | A Case Study of LLVM-Based Analysis for Optimizing SIMD Code Generation | This paper presents a methodology for using LLVM-based tools to tune the DCA++ (dynamical clusterapproximation) application that targets the new ARM A64FX processor. The goal is to describethe changes required for the new architecture and generate efficient single instruction/multiple data(SIMD) instructions that targe... | [
"Programming Languages in NLP",
"Code Generation",
"Text Generation",
"Multimodality"
] | [
55,
44,
47,
74
] |
https://aclanthology.org//2020.webnlg-1.1/ | A Case Study of NLG from Multimedia Data Sources: Generating Architectural Landmark Descriptions | In this paper, we present a pipeline system that generates architectural landmark descriptions using textual, visual and structured data. The pipeline comprises five main components:(i) a textual analysis component, which extracts information from Wikipedia pages; (ii)a visual analysis component, which extracts informa... | [
"Visual Data in NLP",
"Text Generation",
"Multimodality"
] | [
20,
47,
74
] |
https://aclanthology.org//2020.sigdial-1.11/ | A Case Study of User Communication Styles with Customer Service Agents versus Intelligent Virtual Agents | We investigate differences in user communication with live chat agents versus a commercial Intelligent Virtual Agent (IVA). This case study compares the two types of interactions in the same domain for the same company filling the same purposes. We compared 16,794 human-to-human conversations and 27,674 conversations w... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
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