id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
http://arxiv.org/abs/2109.04593v1 | A Large-Scale Study of Machine Translation in the Turkic Languages | Recent advances in neural machine translation (NMT) have pushed the quality of machine translation systems to the point where they are becoming widely adopted to build competitive systems. However, there is still a large number of languages that are yet to reap the benefits of NMT. In this paper, we provide the first l... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
https://aclanthology.org//W18-6307/ | A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation | The translation of pronouns presents a special challenge to machine translation to this day, since it often requires context outside the current sentence. Recent work on models that have access to information across sentence boundaries has seen only moderate improvements in terms of automatic evaluation metrics such as... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
https://aclanthology.org//W19-5935/ | A Large-Scale User Study of an Alexa Prize Chatbot: Effect of TTS Dynamism on Perceived Quality of Social Dialog | This study tests the effect of cognitive-emotional expression in an Alexa text-to-speech (TTS) voice on users’ experience with a social dialog system. We systematically introduced emotionally expressive interjections (e.g., “Wow!”) and filler words (e.g., “um”, “mhmm”) in an Amazon Alexa Prize socialbot, Gunrock. We te... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
http://arxiv.org/abs/2103.11528v4 | A Large-scale Dataset for Hate Speech Detection on Vietnamese Social Media Texts | In recent years, Vietnam witnesses the mass development of social network users on different social platforms such as Facebook, Youtube, Instagram, and Tiktok. On social medias, hate speech has become a critical problem for social network users. To solve this problem, we introduce the ViHSD - a human-annotated dataset ... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
https://aclanthology.org//W03-2902/ | A Large-scale Inheritance-based Morphological Lexicon for Russian | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] | |
SCOPUS_ID:85058342190 | A Large-scale empirical study on linguistic antipatterns affecting apis | The concept of monolithic stand-Alone software systems developed completely from scratch has become obsolete, as modern systems nowadays leverage the abundant presence of Application Programming Interfaces (APIs) developed by third parties, which leads on the one hand to accelerated development, but on the other hand i... | [
"Programming Languages in NLP",
"Multimodality"
] | [
55,
74
] |
SCOPUS_ID:85136931350 | A Latent Dirichlet Allocation Technique for Opinion Mining of Online Reviews of Global Chain Hotels | The hospitality industry has faced unprecedented challenges with the outbreak of Covid-19, which has changed customers' expectations. Therefore, it is essential to identify customers' new perceptions and expectations that lead to positive and negative opinions towards the service providers. Accordingly, this study aims... | [
"Topic Modeling",
"Opinion Mining",
"Information Extraction & Text Mining",
"Sentiment Analysis"
] | [
9,
49,
3,
78
] |
http://arxiv.org/abs/1910.13890v3 | A Latent Morphology Model for Open-Vocabulary Neural Machine Translation | Translation into morphologically-rich languages challenges neural machine translation (NMT) models with extremely sparse vocabularies where atomic treatment of surface forms is unrealistic. This problem is typically addressed by either pre-processing words into subword units or performing translation directly at the le... | [
"Machine Translation",
"Morphology",
"Syntactic Text Processing",
"Text Generation",
"Multilinguality"
] | [
51,
73,
15,
47,
0
] |
SCOPUS_ID:44949210319 | A Latent Semantic Indexing-based approach to multilingual document clustering | The creation and deployment of knowledge repositories for managing, sharing, and reusing tacit knowledge within an organization has emerged as a prevalent approach in current knowledge management practices. A knowledge repository typically contains vast amounts of formal knowledge elements, which generally are availabl... | [
"Information Extraction & Text Mining",
"Text Clustering",
"Indexing",
"Cross-Lingual Transfer",
"Information Retrieval",
"Multilinguality"
] | [
3,
29,
69,
19,
24,
0
] |
http://arxiv.org/abs/1502.03520v8 | A Latent Variable Model Approach to PMI-based Word Embeddings | Semantic word embeddings represent the meaning of a word via a vector, and are created by diverse methods. Many use nonlinear operations on co-occurrence statistics, and have hand-tuned hyperparameters and reweighting methods. This paper proposes a new generative model, a dynamic version of the log-linear topic model... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
https://aclanthology.org//W07-2218/ | A Latent Variable Model for Generative Dependency Parsing | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] | |
SCOPUS_ID:85115682482 | A Latent Variable Model with Hierarchical Structure and GPT-2 for Long Text Generation | Variational AutoEncoder (VAE) has made great achievements in the field of text generation. However, the current research mainly focuses on short texts, with little attention paid to long texts (more than 20 words). In this paper, we first propose a hidden-variable model based on the GPT-2 and hierarchical structure to ... | [
"Language Models",
"Semantic Text Processing",
"Text Generation"
] | [
52,
72,
47
] |
http://arxiv.org/abs/1603.01913v2 | A Latent Variable Recurrent Neural Network for Discourse Relation Language Models | This paper presents a novel latent variable recurrent neural network architecture for jointly modeling sequences of words and (possibly latent) discourse relations between adjacent sentences. A recurrent neural network generates individual words, thus reaping the benefits of discriminatively-trained vector representati... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85068345299 | A Layered Approach to Automatic Essay Evaluation Using Word-Embedding | Automated Essay Evaluation (AEE) use a set of features to evaluate and score students essay solutions. Most of the features like lexical similarity, syntax, vocabulary and shallow content were addressed but evaluating students essays using the semantics and context of the essay are not addressed well. To address the is... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85139406835 | A Layered Bridge from Sound to Meaning: Investigating Cross-linguistic Phonosemantic Correspondences | The present paper addresses the study of cross-linguistic phonosemantic correspondences within a deep learning framework. An LSTM-based Recurrent Neural Network is trained to associate the phonetic representation of a word, encoded as a sequence of feature vectors, to its corresponding semantic representation in a mult... | [
"Psycholinguistics",
"Linguistics & Cognitive NLP"
] | [
77,
48
] |
http://arxiv.org/abs/0810.1207v1 | A Layered Grammar Model: Using Tree-Adjoining Grammars to Build a Common Syntactic Kernel for Related Dialects | This article describes the design of a common syntactic description for the core grammar of a group of related dialects. The common description does not rely on an abstract sub-linguistic structure like a metagrammar: it consists in a single FS-LTAG where the actual specific language is included as one of the attribute... | [
"Syntactic Text Processing"
] | [
15
] |
SCOPUS_ID:85038419616 | A Layered Language Model based Hybrid Approach to Automatic Full Diacritization of Arabic | In this paper we present a system for automatic Arabic text diacritization using three levels of analysis granularity in a layered back off manner. We build and exploit diacritized language models (LM) for each of three different levels of granularity: surface form, morphologically segmented into prefix/stem/suffix, an... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Morphology"
] | [
52,
72,
15,
73
] |
SCOPUS_ID:85014519936 | A Lean PSS design and evaluation framework supported by KPI monitoring and context sensitivity tools | Over the last decade, Product-Service System (PSS) has been established as a prominent business model which promises sustainability. A great amount of literature work has been devoted to PSS issues, but there is fairly limited published work on integrated and easily applicable evaluation methodologies for PSS design, a... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85148019776 | A Learnable Graph Convolutional Neural Network Model for Relation Extraction | Relation extraction is the task of extracting the semantic relationships between two named entities in a sentence. The task relies on semantic dependencies relevant to named entities. Recently, graph convolutional neural networks have shown great potential in supporting this task, wherein dependency trees are usually a... | [
"Information Extraction & Text Mining",
"Relation Extraction",
"Structured Data in NLP",
"Syntactic Text Processing",
"Syntactic Parsing",
"Multimodality"
] | [
3,
75,
50,
15,
28,
74
] |
SCOPUS_ID:85139265579 | A Learned Label Modulates Object Representations in 10-Month-Old Infants | Despite substantial evidence for a bidirectional relationship between language and representation, the roots of this relationship in infancy are not known. The current study explores the possibility that labels may affect object representations at the earliest stages of language acquisition. We asked parents to play wi... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:84861894794 | A Learning to Rank framework applied to text-image retrieval | We present a framework based on a Learning to Rank setting for a text-image retrieval task. In Information Retrieval, the goal is to compute the similarity between a document and an user query. In the context of text-image retrieval where several similarities exist, human intervention is often needed to decide on the w... | [
"Visual Data in NLP",
"Information Retrieval",
"Multimodality"
] | [
20,
24,
74
] |
SCOPUS_ID:85138728985 | A Learning-to-Rank Approach for Spare Parts Consumption in the Repair Process | The repair process of devices is an important part of the business of many original equipment manufacturers. The consumption of spare parts, during the repair process, is driven by the defects found during inspection of the devices, and these parts are a big part of the costs in the repair process. But current Supply C... | [
"Passage Retrieval",
"Information Retrieval"
] | [
66,
24
] |
https://aclanthology.org//1997.iwpt-1.20/ | A Left-to-right Tagger for Word Graphs | An algorithm is presented for tagging input word graphs and producing output tag graphs that are to be subjected to further syntactic processing. It is based on an extension of the basic HMM equations for tagging an input word string that allows it to handle word-graph input, where each arc has been assigned a probabil... | [
"Structured Data in NLP",
"Syntactic Text Processing",
"Syntactic Parsing",
"Tagging",
"Multimodality"
] | [
50,
15,
28,
63,
74
] |
http://arxiv.org/abs/2004.03422v3 | A Legal Approach to Hate Speech: Operationalizing the EU's Legal Framework against the Expression of Hatred as an NLP Task | We propose a 'legal approach' to hate speech detection by operationalization of the decision as to whether a post is subject to criminal law into an NLP task. Comparing existing regulatory regimes for hate speech, we base our investigation on the European Union's framework as it provides a widely applicable legal minim... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85126392579 | A Legal Qestion Answering System Based on BERT | With the development of artificial intelligence technology, intelligent question-answering systems in general fields have been widely accepted by people. However, the development of intelligent question-answering systems in limited areas is not very satisfactory. Moreover, due to the diversification of Chinese expressi... | [
"Language Models",
"Semantic Text Processing",
"Question Answering",
"Representation Learning",
"Natural Language Interfaces"
] | [
52,
72,
27,
12,
11
] |
SCOPUS_ID:85103445551 | A Legal Question Answering Ontology-Based System | Question-answering systems (QASs) aim to provide a relevant and concise answer to questions asked in natural language by a user. In this article, we describe our method of developing a question-answering system, operating in the legal domain in Morocco, which mostly uses the French and Arabic languages, and sometimes E... | [
"Natural Language Interfaces",
"Knowledge Representation",
"Semantic Text Processing",
"Question Answering"
] | [
11,
18,
72,
27
] |
http://arxiv.org/abs/1403.5596v1 | A Lemma Based Evaluator for Semitic Language Text Summarization Systems | Matching texts in highly inflected languages such as Arabic by simple stemming strategy is unlikely to perform well. In this paper, we present a strategy for automatic text matching technique for for inflectional languages, using Arabic as the test case. The system is an extension of ROUGE test in which texts are match... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85130464116 | A Lemmatizer for Low-resource Languages: WSD and Its Role in the Assamese Language | The morphological variations of highly inflected languages that appear in a text impede the progress of computer processing and root word determination tasks while extracting an abstract. As a remedy to this difficulty, a lemmatization algorithm is developed, and its effectiveness is evaluated for Word Sense Disambigua... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Morphology",
"Syntactic Text Processing",
"Responsible & Trustworthy NLP"
] | [
80,
72,
65,
73,
15,
4
] |
http://arxiv.org/abs/2212.10554v1 | A Length-Extrapolatable Transformer | Position modeling plays a critical role in Transformers. In this paper, we focus on length extrapolation, i.e., training on short texts while evaluating longer sequences. We define attention resolution as an indicator of extrapolation. Then we propose two designs to improve the above metric of Transformers. Specificall... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85113797511 | A Levenshtein distance based implementation of lost character prediction, imputation and tagging in Malayalam palm leaf bundles | Character prediction, which predicts the next probable character given a character or a sequence of characters, is one of the significant tasks coming under Natural Language Processing. The application of these tasks is most relevant in predicting characters written in old documents that might get lost due to aging, in... | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] |
SCOPUS_ID:85146237305 | A Levenshtein distance-based method for word segmentation in corpus augmentation of geoscience texts | For geoscience text, rich domain corpora have become the basis of improving the model performance in word segmentation. However, the lack of domain-specific corpus with annotation labelled has become a major obstacle to professional information mining in geoscience fields. In this paper, we propose a corpus augmentatio... | [
"Language Models",
"Text Segmentation",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
52,
21,
72,
15
] |
SCOPUS_ID:85118139881 | A Lexical Analysis Algorithm for the Translation System of Germany and China Under Information Technology Education | This paper proposes a rule-based lexical analysis algorithm for German Chinese machine translation. The algorithm can not only effectively restore the original morphemes of various deformed words, but also provide useful part of speech and various grammatical features for the subsequent parsing mechanism in the system,... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
https://aclanthology.org//W97-1105/ | A Lexical Database Tool for Quantitative Phonological Research | [
"Phonology",
"Syntactic Text Processing"
] | [
6,
15
] | |
SCOPUS_ID:85031745039 | A Lexical Updating Algorithm for Sentiment Analysis on Chinese Movie Reviews | With the prevalence of Internet, sentiment analysis gets popularity among the world. Researchers have made use of kinds of online documents like commodities reivews and movie reviews as training samples to train their models and classfiers, by which they could speculate the underlying emotion in new ones. Douban is a C... | [
"Sentiment Analysis"
] | [
78
] |
http://arxiv.org/abs/1909.08349v1 | A Lexical, Syntactic, and Semantic Perspective for Understanding Style in Text | With a growing interest in modeling inherent subjectivity in natural language, we present a linguistically-motivated process to understand and analyze the writing style of individuals from three perspectives: lexical, syntactic, and semantic. We discuss the stylistically expressive elements within each of these levels ... | [
"Syntactic Text Processing"
] | [
15
] |
SCOPUS_ID:85142877389 | A Lexicon Enhanced Collaborative Network for targeted financial sentiment analysis | The increasing interest around emotions in online texts creates the demand for financial sentiment analysis. Previous studies mainly focus on coarse-grained document-/sentence-level sentiment analysis, which ignores different sentiment polarities of various targets (e.g., company entities) in a sentence. To fill the ga... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85058012934 | A Lexicon Generation Method for Aspect-Based Opinion Mining | Opining mining is the task of analyzing the written text about an entity to determine the expressed sentiment toward that entity. This paper presents a lexicon generation approach to determine the polarity of the aspects described in reviews written in e-commerce websites. The method we are to present here is an extens... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
SCOPUS_ID:84863429211 | A Lexicon based sentiment analysis retrieval system for tourism domain | Sentiment analysis has been extensively investigated during the last years mainly for English language. Currently, existing approaches can be split into two main groups: methods based on the combination of lexical resources and Natural Language Processing (NLP) techniques; and machine learning approaches. This paper in... | [
"Information Retrieval",
"Sentiment Analysis"
] | [
24,
78
] |
http://arxiv.org/abs/cmp-lg/9705011v1 | A Lexicon for Underspecified Semantic Tagging | The paper defends the notion that semantic tagging should be viewed as more than disambiguation between senses. Instead, semantic tagging should be a first step in the interpretation process by assigning each lexical item a representation of all of its systematically related senses, from which further semantic processi... | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] |
SCOPUS_ID:85060036724 | A Lexicon-Based Sentiment Analysis for Amazon Web Review | The development of internet more quickly over time as well as the development of e-commerce one of them is amazon.com. The amazon.com is one of the largest e-commerce in the world by providing various needs that can be accessed by internet. Review feature provided to make amazon.com party can know the various responses... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:84959463902 | A Lexicon-Grammar Based Methodology for Ontology Population for e-Health Applications | Nowadays, the need for well-structured ontologies in the medical domain is rising, especially due to the significant support these ontologies bring to a number of groundbreaking applications, such as intelligent medical diagnosis system and decision-support systems. Indeed, the considerable production of clinical data ... | [
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Knowledge Representation",
"Responsible & Trustworthy NLP"
] | [
3,
72,
68,
18,
4
] |
SCOPUS_ID:38349085674 | A Lexicon-Guided LSI Method for Semantic News Video Retrieval | Many researchers try to utilize the semantic information extracted from visual feature to directly realize the semantic video retrieval or to supplement the automated speech recognition (ASR) text retrieval. But bridging the gap between the low-level visual feature and semantic content is still a challenging task. In t... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Speech & Audio in NLP",
"Text Generation",
"Text Clustering",
"Speech Recognition",
"Information Retrieval",
"Multimodality"
] | [
20,
3,
70,
47,
29,
10,
24,
74
] |
SCOPUS_ID:85029415301 | A Lexicon-based text classification model to analyse and predict sentiments from online reviews | The ubiquity of Internet has shown way to multitude of people to connect with each other beyond space and time. This has led to the colossal usage and hence popularity of online media as a platform to share opinions, exchange ideas, raise questions, show contempt and many such sorts of reviews. Thus web is transforming... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
http://arxiv.org/abs/2205.00716v1 | A Library Perspective on Nearly-Unsupervised Information Extraction Workflows in Digital Libraries | Information extraction can support novel and effective access paths for digital libraries. Nevertheless, designing reliable extraction workflows can be cost-intensive in practice. On the one hand, suitable extraction methods rely on domain-specific training data. On the other hand, unsupervised and open extraction meth... | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP",
"Information Extraction & Text Mining"
] | [
80,
4,
3
] |
SCOPUS_ID:85018319146 | A Lifelong Learning Topic Model Structured Using Latent Embeddings | We propose a latent-embedding-structured lifelong learning topic model, called the LLT model, to discover coherent topics from a corpus. Specifically, we exploit latent word embeddings to structure our model and mine word correlation knowledge to assist in topic modeling. During each learning iteration, our model learn... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Representation Learning"
] | [
9,
3,
72,
12
] |
SCOPUS_ID:85082305505 | A Lifelong Sentiment Classification Framework Based on a Close Domain Lifelong Topic Modeling Method | In lifelong machine learning, the determination of the hypotheses related to the current task is very meaningful thanks to the reduction of the space to look for the knowledge patterns supporting for solving the current task. However, there are few studies for this problem. In this paper, we propose the definitions for... | [
"Topic Modeling",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
9,
36,
78,
24,
3
] |
SCOPUS_ID:85107269921 | A Light Arabic POS Tagger Using a Hybrid Approach | Part Of Speech (POS) tagging is the ability to computationally determine which POS of a word is activated by its use in a particular context. It is a useful preprocessing tool in many natural languages processing (NLP) applications. In this paper, we expose a new Arabic POS Tagger based on the combination of two main m... | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] |
SCOPUS_ID:85146937090 | A Light Bug Triage Framework for Applying Large Pre-trained Language Model | Assigning appropriate developers to the bugs is one of the main challenges in bug triage. Demands for automatic bug triage are increasing in the industry, as manual bug triage is labor-intensive and time-consuming in large projects. The key to the bug triage task is extracting semantic information from a bug report. In... | [
"Language Models",
"Responsible & Trustworthy NLP",
"Semantic Text Processing",
"Green & Sustainable NLP"
] | [
52,
4,
72,
68
] |
http://arxiv.org/abs/1509.05517v1 | A Light Sliding-Window Part-of-Speech Tagger for the Apertium Free/Open-Source Machine Translation Platform | This paper describes a free/open-source implementation of the light sliding-window (LSW) part-of-speech tagger for the Apertium free/open-source machine translation platform. Firstly, the mechanism and training process of the tagger are reviewed, and a new method for incorporating linguistic rules is proposed. Secondly... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85111081238 | A Light Transfer Model for Chinese Named Entity Recognition for Specialty Domain | Named entity recognition (NER) for specialty domain is a challenging task since the labels are specific and there are not sufficient labelled data for training. In this paper, we propose a simple but effective method, named Light Transfer NER model (LTN), to tackle this problem. Different with most traditional methods ... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85131131629 | A Light Transformer-Based Architecture for Handwritten Text Recognition | Transformer models have been showing ground-breaking results in the domain of natural language processing. More recently, they started to gain interest in many others fields as in computer vision. Traditional Transformer models typically require a significant amount of training data to achieve satisfactory results. How... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85073156362 | A Light Weight Text Extraction Technique for Hand-Held Device | Automated systems for understanding display boards are finding many applications useful in guiding tourists, assisting visually challenged and also in providing location aware information. Such systems require an automated method to detect and extract text prior to further image analysis. In this paper, a new approach ... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Multimodality"
] | [
20,
3,
74
] |
SCOPUS_ID:85117760045 | A Light-Weight Text Summarization System for Fast Access to Medical Evidence | As the volume of published medical research continues to grow rapidly, staying up-to-date with the best-available research evidence regarding specific topics is becoming an increasingly challenging problem for medical experts and researchers. The current COVID19 pandemic is a good example of a topic on which research e... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
http://arxiv.org/abs/2108.07493v1 | A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems | It's challenging to customize transducer-based automatic speech recognition (ASR) system with context information which is dynamic and unavailable during model training. In this work, we introduce a light-weight contextual spelling correction model to correct context-related recognition errors in transducer-based ASR s... | [
"Text Generation",
"Speech & Audio in NLP",
"Speech Recognition",
"Multimodality"
] | [
47,
70,
10,
74
] |
SCOPUS_ID:85139796691 | A Lightweight CNN-Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation | Recent breakthroughs in computer vision have led to the invention of several intelligent systems in different sectors. In transportation, this advancement led to the possibility of proposing autonomous vehicles. This recent technology relies heavily on wireless sensors and Deep learning. For an autonomous vehicle to na... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
20,
52,
72,
68,
4,
74
] |
SCOPUS_ID:85094840409 | A Lightweight Chinese Character Recognition Model for Elementary Level Hanzi Learning Application | The Chinese language is widely spoken and written by a quarter of the earth's population. Its usage is recently increased due to the rise of China as a new world power in trade and economy. This attracts new learners of Chinese and Chinese is often taught as early as elementary school in countries such as Indonesia, wh... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
https://aclanthology.org//W11-2102/ | A Lightweight Evaluation Framework for Machine Translation Reordering | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
SCOPUS_ID:85144394341 | A Lightweight Hybrid Scheme for Hiding Text Messages in Colour Images Using LSB, Lah Transform and Chaotic Techniques | Data security can involve embedding hidden images, text, audio, or video files within other media to prevent hackers from stealing encrypted data. Existing mechanisms suffer from a high risk of security breaches or large computational costs, however. The method proposed in this work incorporates low-complexity encrypti... | [
"Visual Data in NLP",
"Semantic Text Processing",
"Representation Learning",
"Information Retrieval",
"Multimodality"
] | [
20,
72,
12,
24,
74
] |
SCOPUS_ID:85118539328 | A Lightweight Multi-Scale Crossmodal Text-Image Retrieval Method in Remote Sensing | Remote sensing (RS) crossmodal text-image retrieval has become a research hotspot in recent years for its application in semantic localization. However, since multiple inferences on slices are demanded in semantic localization, designing a crossmodal retrieval model with less computation but well performance becomes an... | [
"Visual Data in NLP",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Multimodality"
] | [
20,
68,
4,
24,
74
] |
SCOPUS_ID:85149135110 | A Lightweight Named Entity Recognition Method for Chinese Power Equipment Defect Text | During the operation and maintenance of power equipment, a large amount of text data is accumulated, and it is of great importance to mine valuable information and evaluate the operation status of the equipment. Among them, named entity recognition technology is a key prerequisite for downstream tasks. However, with th... | [
"Language Models",
"Named Entity Recognition",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
52,
34,
72,
3
] |
http://arxiv.org/abs/1705.07008v1 | A Lightweight Regression Method to Infer Psycholinguistic Properties for Brazilian Portuguese | Psycholinguistic properties of words have been used in various approaches to Natural Language Processing tasks, such as text simplification and readability assessment. Most of these properties are subjective, involving costly and time-consuming surveys to be gathered. Recent approaches use the limited datasets of psych... | [
"Psycholinguistics",
"Linguistics & Cognitive NLP"
] | [
77,
48
] |
SCOPUS_ID:85146654645 | A Lightweight Sentiment Analysis Framework for a Micro-Intelligent Terminal | Sentiment analysis aims to mine polarity features in the text, which can empower intelligent terminals to recognize opinions and further enhance interaction capabilities with customers. Considerable progress has been made using recurrent neural networks or pre-trained models to learn semantic representations. However, ... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85122643174 | A Lightweight Visual Question Answering Model based on Semantic Similarity | The key of visual question answering is to learn the semantic alignment of image objects and question words. The typical methods use the attention mechanism to achieve this goal. However, calculating the attention weight of image objects and question keywords requires an attention function, a function usually required ... | [
"Visual Data in NLP",
"Semantic Text Processing",
"Question Answering",
"Semantic Similarity",
"Natural Language Interfaces",
"Multimodality"
] | [
20,
72,
27,
53,
11,
74
] |
https://aclanthology.org//2022.trac-1.8/ | A Lightweight Yet Robust Approach to Textual Anomaly Detection | Highly imbalanced textual datasets continue to pose a challenge for supervised learning models. However, viewing such imbalanced text data as an anomaly detection (AD) problem has advantages for certain tasks such as detecting hate speech, or inappropriate and/or offensive language in large social media feeds. There th... | [
"Ethical NLP",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
17,
58,
4
] |
SCOPUS_ID:85147217804 | A Lightweight and Accurate Spatial-Temporal Transformer for Traffic Forecasting | We study the forecasting problem for traffic with dynamic, possibly periodical, and joint spatial-temporal dependency between regions. Given the aggregated inflow and outflow traffic of regions in a city from time slots 0 to <inline-formula><tex-math notation="LaTeX">$t - 1$</tex-math></inline-formula>, we predict the ... | [
"Language Models",
"Semantic Text Processing",
"Responsible & Trustworthy NLP",
"Reasoning",
"Numerical Reasoning",
"Green & Sustainable NLP"
] | [
52,
72,
4,
8,
5,
68
] |
http://arxiv.org/abs/2201.03655v1 | A Likelihood Ratio based Domain Adaptation Method for E2E Models | End-to-end (E2E) automatic speech recognition models like Recurrent Neural Networks Transducer (RNN-T) are becoming a popular choice for streaming ASR applications like voice assistants. While E2E models are very effective at learning representation of the training data they are trained on, their accuracy on unseen dom... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Multimodality",
"Responsible & Trustworthy NLP"
] | [
80,
52,
72,
70,
74,
4
] |
http://arxiv.org/abs/1103.4090v2 | A Linear Classifier Based on Entity Recognition Tools and a Statistical Approach to Method Extraction in the Protein-Protein Interaction Literature | We participated, in the Article Classification and the Interaction Method subtasks (ACT and IMT, respectively) of the Protein-Protein Interaction task of the BioCreative III Challenge. For the ACT, we pursued an extensive testing of available Named Entity Recognition and dictionary tools, and used the most promising on... | [
"Named Entity Recognition",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
34,
24,
36,
3
] |
SCOPUS_ID:85124380168 | A Linear Sub-Structure with Co-Variance Shift for Image Captioning | Automatic description of image has attracted many researchers in the field of computer vision for captioning the image in artificial intelligence which connects with Natural Language Processing. Exact generation of captions to image is necessary but it lacks due to Gradient Diminishing problem, LSTM can overcome this p... | [
"Visual Data in NLP",
"Captioning",
"Text Generation",
"Multimodality"
] | [
20,
39,
47,
74
] |
SCOPUS_ID:85121215396 | A Linguistic Analysis Metric in Detecting Ransomware Cyber-attacks | Originating and striking from anywhere, cyberattacks have become ever more sophisticated in our modern society and users are forced to adopt increasingly good and vigilant practices to protect from them. Among these, ransomware remains a major cyber-attack whose major threat to end users (disrupted operations, restrict... | [
"Multilinguality",
"Machine Translation",
"Robustness in NLP",
"Text Generation",
"Responsible & Trustworthy NLP"
] | [
0,
51,
58,
47,
4
] |
http://arxiv.org/abs/2010.03127v1 | A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions | Recent models achieve promising results in visually grounded dialogues. However, existing datasets often contain undesirable biases and lack sophisticated linguistic analyses, which make it difficult to understand how well current models recognize their precise linguistic structures. To address this problem, we make tw... | [
"Natural Language Interfaces",
"Visual Data in NLP",
"Multimodality",
"Dialogue Systems & Conversational Agents"
] | [
11,
20,
74,
38
] |
SCOPUS_ID:84943788537 | A Linguistic Analysis of the Modern Greek Dekapentasyllavo Meter | Dekapentasyllavo (DPS), the dominant poetic meter in the Modern Greek poetic tradition since several centuries, has barely received any attention by modern linguistic theories. Basing our discussion on the analysis of several dimotiká tragoúdia (folk songs), we seek to understand the structure underlying the meter. Our... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85063999123 | A Linguistic Intuitionistic Cloud Decision Support Model with Sentiment Analysis for Product Selection in E-commerce | Online product reviews significantly impact the online purchase decisions of consumers. However, extant decision support models have neglected the randomness and fuzziness of online reviews and the interrelationships among product features. This study presents an integrated decision support model that can help customer... | [
"Sentiment Analysis"
] | [
78
] |
https://aclanthology.org//W07-0601/ | A Linguistic Investigation into Unsupervised DOP | [
"Low-Resource NLP",
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Responsible & Trustworthy NLP"
] | [
80,
2,
48,
4
] | |
http://arxiv.org/abs/2210.10434v1 | A Linguistic Investigation of Machine Learning based Contradiction Detection Models: An Empirical Analysis and Future Perspectives | We analyze two Natural Language Inference data sets with respect to their linguistic features. The goal is to identify those syntactic and semantic properties that are particularly hard to comprehend for a machine learning model. To this end, we also investigate the differences between a crowd-sourced, machine-translat... | [
"Reasoning",
"Textual Inference"
] | [
8,
22
] |
SCOPUS_ID:84946635025 | A Linguistic Law of Constancy: II | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] | |
http://arxiv.org/abs/1210.0252v2 | A Linguistic Model for Terminology Extraction based Conditional Random Fields | In this paper, we show the possibility of using a linear Conditional Random Fields (CRF) for terminology extraction from a specialized text corpus. | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85116163317 | A Linguistic System for Predicting Sentiment in Arabic Tweets | The term sentiment analysis is considered very important in our current era, especially with widespread of social media, as it helps understand people's feelings, behavior and opinions about a specific behavior or entity, individuals, organizations and any related topic. Recently, with the development of machine learni... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Sentiment Analysis",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
78,
24,
3
] |
SCOPUS_ID:0016591229 | A Linguistic and Cognitive Perspective on Retardation | The idea of critical readiness periods for both language learning and cognitive development was reviewed and related to mental subnormalities. A basic model of a synthesized theory of language and cognition was presented, and a theoretical “Basal Person” was constructed to illustrate a new perspective on retardation. T... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:0742271586 | A Linguistic and Neuropsychological Approach to Remediation in a German Case of Developmental Dysgraphia | There have been relatively few single case studies concerned with the remediation of spelling deficits among developmental impairments. Among these there have been a small number that targeted specific components of the spelling process and used linguistic theories as theoretical underpinning for the development of rem... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85097355567 | A Linguistic-Based Method that Combines Polarity, Emotion and Grammatical Characteristics to Detect Fake News in Portuguese | In the last decades, the dissemination of News through digital media has increased the information accessibility previously offered by traditional channels. Despite their benefits, digital media have exacerbated an old problem: the spread of Fake News, (i.e., false News intentionally published). Faced with this scenari... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Polarity Analysis",
"Ethical NLP",
"Sentiment Analysis",
"Emotion Analysis",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
3,
24,
33,
17,
78,
61,
8,
46,
36,
4
] |
https://aclanthology.org//W15-2915/ | A Linguistically Informed Convolutional Neural Network | [
"Sentiment Analysis"
] | [
78
] | |
http://arxiv.org/abs/cmp-lg/9807008v1 | A Linguistically Interpreted Corpus of German Newspaper Text | In this paper, we report on the development of an annotation scheme and annotation tools for unrestricted German text. Our representation format is based on argument structure, but also permits the extraction of other kinds of representations. We discuss several methodological issues and the analysis of some phenomena.... | [
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP"
] | [
81,
4
] |
SCOPUS_ID:85144394194 | A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German-English Machine Translation Output | This paper presents a fine-grained test suite for the language pair German-English. The test suite is based on a number of linguistically motivated categories and phenomena and the semi-automatic evaluation is carried out with regular expressions. We describe the creation and implementation of the test suite in detail,... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:84965047545 | A Linked Data Driven Semantic Model for Interpreting English Queries in question answering system | This paper introduces the Linked Data Driven Semantic Model for Interpreting English Queries (SMIQ) which is proposed to interpret the semantics of English queries used in our linked data based question answering system. SMIQ models the meanings of English queries by using a linked data driven approach, interprets the ... | [
"Explainability & Interpretability in NLP",
"Natural Language Interfaces",
"Question Answering",
"Responsible & Trustworthy NLP"
] | [
81,
11,
27,
4
] |
SCOPUS_ID:85129008912 | A Lite Romanian BERT:ALR-BERT | Large-scale pre-trained language representation and its promising performance in various downstream applications have become an area of interest in the field of natural language processing (NLP). There has been huge interest in further increasing the model’s size in order to outperform the best previously obtained perf... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85135185977 | A Literature Analysis of Consumer Privacy Protection in Augmented Reality Applications in Creative and Cultural Industries: A Text Mining Study | Digital reality technologies (such as AR, VR, and MR) have recently become a key component of promoting creative and cultural industries (CCIs) worldwide to transform static cultural heritage exhibits into more engaging, entertaining, and immersive experiences. These technologies present an exciting example of studying... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85061902189 | A Literature Review in Preprocessing for Sentiment Analysis for Brazilian Portuguese Social Media | Online Social Networks have been increasingly adopted by web users interested in sharing their opinions and thoughts about restaurants, bars, and products they have visited or bought. This scenario enables new analyses to companies and institutions that seek information on how their audience perceives them, and which a... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85084367562 | A Literature Review of Gene Function Prediction by Modeling Gene Ontology | Annotating the functional properties of gene products, i.e., RNAs and proteins, is a fundamental task in biology. The Gene Ontology database (GO) was developed to systematically describe the functional properties of gene products across species, and to facilitate the computational prediction of gene function. As GO is ... | [
"Knowledge Representation",
"Semantic Text Processing",
"Semantic Similarity"
] | [
18,
72,
53
] |
SCOPUS_ID:85115204432 | A Literature Review on Smart Technologies and Logistics | The emergence of smart technologies has brought substantial changes in logistics. Hence, understanding smart technologies applied in logistics has become critical for practitioners and scholars to make smart technologies better empower logistics activities. Because research on this issue is new and largely fragmented, ... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85103481950 | A Literature Review on Text Classification and Sentiment Analysis Approaches | Sentiment analysis is an important branch task of text classification and the related system usually is applied to in perception of user emotion and public opinion monitoring. By comparison, the text classification can be applied to more fields than sentiment analysis. In the system architecture, same as text classific... | [
"Information Retrieval",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
78,
36,
3
] |
SCOPUS_ID:85059990413 | A Literature Study on Different Multi-Document Summarization Techniques | Currently the rate of improvement of information is developing exponentially in the World Wide Web. In this manner, removing real and significant information from tremendous data has transformed into a testing issue. Starting late text summarization is seen as one of the response for expel material information from imm... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
http://arxiv.org/abs/2201.06657v1 | A Literature Survey of Recent Advances in Chatbots | Chatbots are intelligent conversational computer systems designed to mimic human conversation to enable automated online guidance and support. The increased benefits of chatbots led to their wide adoption by many industries in order to provide virtual assistance to customers. Chatbots utilise methods and algorithms fro... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85101785937 | A Literature Survey on Biomedical Named Entity Recognition | The importance of information extraction is well known due to its conceptual simplicity and potential usefulness but domain-specific task makes the process more tractable than others. Biomedical named entity recognition one such active research area that identifies biomedical entities and serves as a support system for... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
http://arxiv.org/abs/1908.08983v1 | A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers | Most state-of-the-art models for named entity recognition (NER) rely on the availability of large amounts of labeled data, making them challenging to extend to new, lower-resourced languages. However, there are now several proposed approaches involving either cross-lingual transfer learning, which learns from other hig... | [
"Low-Resource NLP",
"Green & Sustainable NLP",
"Responsible & Trustworthy NLP",
"Cross-Lingual Transfer",
"Multilinguality"
] | [
80,
68,
4,
19,
0
] |
https://aclanthology.org//2020.sustainlp-1.14/ | A Little Bit Is Worse Than None: Ranking with Limited Training Data | Researchers have proposed simple yet effective techniques for the retrieval problem based on using BERT as a relevance classifier to rerank initial candidates from keyword search. In this work, we tackle the challenge of fine-tuning these models for specific domains in a data and computationally efficient manner. Typic... | [
"Language Models",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
52,
72,
68,
24,
4
] |
SCOPUS_ID:85026778039 | A Little Less Conversation, a Little More Action: Illustrations of the Mediated Discourse Analysis Method | This article provides an introduction into the innovative use of the methodological approach of Mediated Discourse Analysis (MDA) and illustrates this with examples from an interventionist insider action research study. An overview of the method, including its foundation and association with the analysis of practice an... | [
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Linguistic Theories",
"Discourse & Pragmatics",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
72,
48,
57,
71,
11,
38
] |
https://aclanthology.org//W19-4214/ | A Little Linguistics Goes a Long Way: Unsupervised Segmentation with Limited Language Specific Guidance | We present de-lexical segmentation, a linguistically motivated alternative to greedy or other unsupervised methods, requiring only minimal language specific input. Our technique involves creating a small grammar of closed-class affixes which can be written in a few hours. The grammar over generates analyses for word fo... | [
"Low-Resource NLP",
"Syntactic Text Processing",
"Responsible & Trustworthy NLP"
] | [
80,
15,
4
] |
http://arxiv.org/abs/2102.06551v2 | A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages | Neural dependency parsing has achieved remarkable performance for many domains and languages. The bottleneck of massive labeled data limits the effectiveness of these approaches for low resource languages. In this work, we focus on dependency parsing for morphological rich languages (MRLs) in a low-resource setting. Al... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Morphology",
"Syntactic Text Processing",
"Syntactic Parsing",
"Responsible & Trustworthy NLP"
] | [
80,
52,
72,
73,
15,
28,
4
] |
SCOPUS_ID:85136691380 | A Local Self-Attention Sentence Model for Answer Selection Task in CQA Systems | Current evidence indicates that the semantic representation of question and answer sentences is better generated by deep neural network-based sentence models than traditional methods in community answer selection tasks. In particular, as a widely recognized language model, the self-attention model computes the similari... | [
"Language Models",
"Semantic Text Processing",
"Question Answering",
"Representation Learning",
"Natural Language Interfaces",
"Reasoning",
"Numerical Reasoning"
] | [
52,
72,
27,
12,
11,
8,
5
] |
SCOPUS_ID:85136118748 | A Local and Global Context Focus Multilingual Learning Model for Aspect-Based Sentiment Analysis | Aspect-Based Sentiment Analysis (ABSA) aims to predict the sentiment polarity of different aspects in a sentence or document, which is a fine-grained task of natural language processing. Most of the existing work focuses on the correlation between aspect sentiment polarity and local context. The important deep correlat... | [
"Polarity Analysis",
"Sentiment Analysis",
"Aspect-based Sentiment Analysis",
"Multilinguality"
] | [
33,
78,
23,
0
] |
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