id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:0033602211 | A Chinese phonetic morse code recognition system for person with physical disability | The purpose of this study is to present a new approach to adaptive Morse code recognition for disabled persons whose hand coordination and dexterity are impaired but whose mentality and cognition level are at least fair to good. Because to maintain a stable typing rate is a challenge for the disabled, the automatic rec... | [
"Phonetics",
"Syntactic Text Processing"
] | [
64,
15
] |
SCOPUS_ID:85082848538 | A Chinese question answering system based on GPT | The Chinese question-answering system needs to select the most appropriate answer from the answer library for user according to the given question on the natural language form. Previous question-answering systems required modeling for specific task characteristics and designing multiple modules. This paper first propos... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Question Answering"
] | [
52,
11,
72,
27
] |
SCOPUS_ID:84921469922 | A Chinese question answering system based on web search | With the rapid development of search engine technology, the massive information on the internet becomes increasingly easy to search and utilize. However, Reading a large number of web pages of search engine results is also a hard work for users. Therefore how to conveniently and directly get the answers is a recent res... | [
"Natural Language Interfaces",
"Question Answering",
"Information Retrieval"
] | [
11,
27,
24
] |
SCOPUS_ID:85041212583 | A Chinese question answering system for single-relation factoid questions | Aiming at the task of open domain question answering based on knowledge base in NLPCC 2017, we build a question answering system which can automatically find the promised entities and predicates for single-relation questions. After a features based entity linking component and a word vector based candidate predicates g... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:78649264567 | A Chinese question-answering system with question classification and answer clustering | In this paper we propose an approach for Chinese question analysis and answer extraction. A general question analysis process contains keyword extraction and question classification. Question classification plays a crucial role in automatic question answering. To implement the question classification, we have carried o... | [
"Information Retrieval",
"Question Answering",
"Natural Language Interfaces",
"Text Clustering",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
27,
11,
29,
36,
3
] |
SCOPUS_ID:85047664579 | A Chinese route to sustainability: Postsocialist transitions and the construction of ecological civilization | This article explores the concept of sustainability in a postsocialist context through an analysis of official discourses relating to sustainability in more than 700 articles published in the Chinese-language newspaper People's Daily in 2015. The Chinese conception of sustainability, which emerges as a top-down model b... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:78650893033 | A Chinese sentence compression method for opinion mining | The Chinese sentences in news articles are usually very long, which set up obstacles for further opinion mining steps. Sentence compression is the task of producing a brief summary at the sentence level. Conventional compression methods do not distinguish the opinionated information from factual information in each sen... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
SCOPUS_ID:84874186746 | A Chinese sentence segmentation approach based on comma | Chinese sentence segmentation is considered to be a very fundamental step in natural language processing. A successful solution for sentence boundary detection is a key step in the subsequent NLP tasks, such as parsing and machine translation, etc. In this paper, we consider comma as a sign-of-the-sentence boundary, an... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85049689893 | A Chinese short text semantic similarity computation model based on stop words and TongyiciCilin | Short text similarity computing plays an important role in natural language processing, and it can be applied to many tasks. In recent years, there are lots of researches getting important results on natural language processing. Although there are some good results in English, there is no major breakthrough in Chinese.... | [
"Semantic Text Processing",
"Semantic Similarity",
"Representation Learning"
] | [
72,
53,
12
] |
SCOPUS_ID:79959995635 | A Chinese sign language recognition approach based on multiple sensor information fusion and statistical language model | Accelerometer (ACC) and surface electromyography (SEMG) sensors are two effective portable devices to capture gestures. In this paper, a multi-sensor information fusion method was proposed to recognize the Chinese sign language gestures. Firstly, a hierarchical decision tree was constructed for the information fusion o... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:0035725784 | A Chinese spoken dialog system for blind men | This paper introduces a Chinese spoken dialog system providing services for blind men through which they can use computers conveniently. A description of the architecture of the dialog system is presented briefly and how each component work is also explained. The key factor of such a dialog system is the extraction of ... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:0242660449 | A Chinese spoken dialogue system for train information | In this paper a Chinese spoken dialogue system developed for train information retrieval is presented. After a brief description of the system architecture and the individual modules, a dialogue manager, which integrates user plan inference with the topic tree model, is proposed. Also dialogue strategies based on this ... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:78650326202 | A Chinese synonyms reduced algorithm based on sememe tree | Question Understanding of Chinese Question-Answering System generally includes steps such as: word segmentation, POS Tagging, keywords expansion, information retrieval etc. The extended keyword set usually has redundant messages and part of the words and phrases may be not relevant to the question. Consequently, inform... | [
"Visual Data in NLP",
"Question Answering",
"Natural Language Interfaces",
"Information Retrieval",
"Multimodality"
] | [
20,
27,
11,
24,
74
] |
SCOPUS_ID:34047199491 | A Chinese text classification algorithm based on granular computing | Classification is a basis ingredient of knowledge processing, and algorithms play a key role in a classifying system. In the paper, granular computing is applied in the domain of Chinese text classification. First, some concepts such as information granules, feature granules, decision granules, operations of granules a... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85147668256 | A Chinese text classification model based on radicals and character distinctions | Chinese characters are generally correlated with their semantic meanings, and the structure of radicals, in particular, can be a clear indication of how characters are related to each other. In the Chinese characters simplification movement, some different traditional characters have been transferred into one simplifie... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:6344231568 | A Chinese text classification model based on vector space and semantic meaning | Aiming at the status that various electronic text materials are increasing rapidly, this paper brings forward a model of automatic classification of electronic text information in order to manage and use these text information effectively: the algorithm of segmentation of word based on word dictionary and statistics, p... | [
"Semantic Text Processing",
"Information Retrieval",
"Syntactic Text Processing",
"Representation Learning",
"Text Clustering",
"Text Segmentation",
"Text Classification",
"Information Extraction & Text Mining"
] | [
72,
24,
15,
12,
29,
21,
36,
3
] |
SCOPUS_ID:84963629074 | A Chinese text classification system based on Naive Bayes algorithm | In this paper, aiming at the characteristics of Chinese text classification, using the ICTCLAS(Chinese lexical analysis system of Chinese academy of sciences) for document segmentation, and for data cleaning and filtering the Stop words, using the information gain and document frequency feature selection algorithm to d... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85048766214 | A Chinese text correction and intention identification method for speech interactive context | ASR (Automatic Speech Recognition) is an important technology in man-machine interaction. Due to the complexity of natural language, the interference of environment and other factors, the recognition accuracy has low accuracy. This paper analyzes the use cases of speech recognition errors and proposes a text correction... | [
"Text Error Correction",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
26,
70,
15,
47,
10,
74
] |
SCOPUS_ID:84978128822 | A Chinese text paraphrase detection method based on dependency tree | Paraphrase detection is regarded as an important subtask in lots of natural language processing tasks. For example, in question answering, finding similar relations between questions needs paraphrase detection, also it is widely used in information retrieval, machine translation, document clustering, etc. Traditional s... | [
"Paraphrasing",
"Syntactic Text Processing",
"Syntactic Parsing",
"Text Generation"
] | [
32,
15,
28,
47
] |
SCOPUS_ID:85145347495 | A Chinese text similarity algorithm based on Yake and neural network | Traditional text similarity algorithm has the disadvantage of a large amount of text data and high complexity. Keywords are highly concentrated thematic ideas in the text. Extracting them can reduce the complexity of text similarity calculation. Therefore, this paper proposes a Chinese text similarity calculation metho... | [
"Term Extraction",
"Information Extraction & Text Mining"
] | [
1,
3
] |
SCOPUS_ID:80054955018 | A Chinese text watermark algorithm based on polyphone | Based on the principle of zero-watermarking, this paper adopts the pronunciation of polyphone characters and the features between two polyphones of Chinese characters to construct the zero-watermarking algorithm, and produces a Chinese text watermark algorithm based on polyphone. Simulation results show that the algori... | [
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
58,
4
] |
SCOPUS_ID:54049103655 | A Chinese text watermarking based on statistic of phrase frequency | Although tamper and delete attack problem is difficult to overcome, this paper proposes a novel algorithm based on the statistical characteristics of phrase frequency to solve it. The algorithm takes watermark as information entropy and Chinese characters' code as partial probability distribution values. As a result, t... | [
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
58,
4
] |
SCOPUS_ID:84861911285 | A Chinese unsupervised word sense disambiguation method based on semantic vector | The supervise machine learning word sense disambiguation method need to annotate the words of the training corpus, in order to overcome the data sparseness problem to achieve the good word sense disambiguation effect we must establish a large-scale marked Corpus, but obtaining the marked corpus requires high artificial... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Representation Learning",
"Responsible & Trustworthy NLP"
] | [
80,
72,
65,
12,
4
] |
SCOPUS_ID:85145885524 | A Chinese verb semantic feature dataset (CVFD) | Language is an advanced cognitive function of humans, and verbs play a crucial role in language. To understand how the human brain represents verbs, it is critical to analyze what knowledge humans have about verbs. Thus, several verb feature datasets have been developed in different languages such as English, Spanish, ... | [
"Psycholinguistics",
"Linguistics & Cognitive NLP"
] | [
77,
48
] |
SCOPUS_ID:85083235403 | A Chinese word segment model for energy literature based on Neural Networks with Electricity User Dictionary | Traditional Chinese word segmentation (CWS) methods are based on supervised machine learning such as Condtional Random Fields(CRFs), Maximum Entropy(ME), whose features are mostly manual features. These manual features are often derived from local contexts. Currently, most state-of-Art methods for Chinese word segmenta... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:78149305559 | A Chinese word segmentation algorithm based on maximum entropy | Automatic word segmentation technology is an important component part of modern Chinese information processing. It is the key technology of the Chinese full-text retrieval. This paper presents a Chinese word segmentation algorithm based on maximum entropy. It uses of part-of-speech tagging and word frequency tagging of... | [
"Syntactic Text Processing",
"Tagging",
"Text Segmentation",
"Information Retrieval"
] | [
15,
63,
21,
24
] |
SCOPUS_ID:2442649391 | A Chinese word segmentation based on language situation in processing ambiguous words | While the processing of natural language is beneficial to the text mining, Chinese word segmentation is an important step in the processing of Chinese natural language. In this paper, the convergence essence of the segmentation process is analyzed, and a theory of Chinese word segmentation based on language situation i... | [
"Linguistics & Cognitive NLP",
"Text Segmentation",
"Syntactic Text Processing",
"Linguistic Theories"
] | [
48,
21,
15,
57
] |
SCOPUS_ID:67650706826 | A Chinese word segmentation based on machine learning | Different from English, there are no interval marks between words in Chinese. Segmenting Chinese text to words is the first job for every kind of Chinese information processing, so Chinese word segmentation is a basal and difficult issue in the field of Chinese information processing. Traditional word segmentation syst... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85075867455 | A Chinese word segmentation scheme based on a deep neural network model | In order to solve the problem of reduced performance of existing segmentation algorithms and programs when processing massive network text segmentation, a Chinese word segmentation scheme based on a deep neural network model is proposed in this paper. The encoder-decoder model (EDM), based on the long short-term memory... | [
"Text Segmentation",
"Semantic Text Processing",
"Syntactic Text Processing",
"Representation Learning"
] | [
21,
72,
15,
12
] |
SCOPUS_ID:84867415265 | A Chinese-English patent machine translation system based on the theory of hierarchical network of concepts | Compared with ordinary text, patent text often has more complex sentence structure and more ambiguity of multiple verbs. To deal with these problems, this paper presents a rule-based Chinese-English patent machine translation (MT) system based on the theory of hierarchical network of concepts (HNC). In this system, the... | [
"Machine Translation",
"Linguistic Theories",
"Text Generation",
"Linguistics & Cognitive NLP",
"Multilinguality"
] | [
51,
57,
47,
48,
0
] |
SCOPUS_ID:67650287651 | A Chinese-Japanese lexical machine translation through a Pivot language | The bilingual lexicon is an expensive but critical resource for multilingual applications in natural language processing. This article proposes an integrated framework for building a bilingual lexicon between the Chinese and Japanese languages. Since the language pair Chinese-Japanese does not include English, which is... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85138071337 | A Chinese-Malay Neural Machine Translation Model Based on CA-Transformer and Transfer Learning | Neural machine translation (NMT) has achieved good results in many applications, but large-scale corpora are needed as support, and high-quality corpora are often difficult to obtain, especially for low-resource corpora such as small languages, resulting in poor translation results. Therefore, a transfer learning metho... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
SCOPUS_ID:85123501475 | A Chinese-Thai Cross-language Word Embedding Method Based on Unequal Corpus of Small Dictionaries | This paper proposes a Chinese-Thailand cross-language word embedding method based on the unequal corpus of a small dictionary. The method first normalizes the word vectors of Chinese and the small dictionary, and obtains the gradient descent for the orthogonal optimal linear transformation of the small dictionary words... | [
"Language Models",
"Semantic Text Processing",
"Information Extraction & Text Mining",
"Representation Learning",
"Text Clustering",
"Multilinguality"
] | [
52,
72,
3,
12,
29,
0
] |
SCOPUS_ID:85074087511 | A Chinese-english translation model for mobile terminal system based on neural network | This paper focuses on the improvement of translation results by neural network. Since different translation models and methods have their own advantages and disadvantages, sentence-level paraphrase is used to rewrite the translation, which is regarded as a translation task between the same language. In the absence of l... | [
"Paraphrasing",
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
32,
51,
47,
0
] |
https://aclanthology.org//2007.mtsummit-papers.13/ | A Chinese-to-Chinese statistical machine translation model for mining synonymous simplified-traditional Chinese terms | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
https://aclanthology.org//1995.iwpt-1.10/ | A Chunking-and-Raising Partial Parser | Parsing is often seen as a combinatorial problem. It is not due to the properties of the natural languages, but due to the parsing strategies. This paper investigates a Constrained Grammar extracted from a Treebank and applies it in a non-combinatorial partial parser. This parser is a simpler version of a chunking-and-... | [
"Syntactic Parsing",
"Syntactic Text Processing",
"Chunking"
] | [
28,
15,
43
] |
SCOPUS_ID:85079812969 | A Citizen-Centred Sentiment Analysis Towards India’s Critically Endangered Avian and Mammalian Species | Conservation Science (CS), nowadays, is a vital area for research and development because of its linkage with multiple domains. Sustainable goals as populated by the United Nations also emphasis on the need of the hour to protect biodiversity both on land and in water. In stimulating the research in this area, the role... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85080896832 | A Class Content Summary Method Based on Media-driven Real-time Content Management Framework | In this paper, we present a class content summary method based on media-driven real-time content management framework. It is important to summarize contents in the class for not only students but also teachers. This method acquires teacher's voice in the class in real time, and generates a summary according to the impo... | [
"Information Extraction & Text Mining",
"Speech & Audio in NLP",
"Term Extraction",
"Information Retrieval",
"Multimodality"
] | [
3,
70,
1,
24,
74
] |
SCOPUS_ID:84865625810 | A Class-Feature-Centroid classifier for text categorization | Automated text categorization is an important technique for many web applications, such as document indexing, document filtering, and cataloging web resources. Many different approaches have been proposed for the automated text categorization problem. Among them, centroid-based approaches have the advantages of short t... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85124047560 | A Classical Approach to Handcrafted Feature Extraction Techniques for Bangla Handwritten Digit Recognition | Bangla Handwritten Digit recognition is a significant step forward in the development of Bangla OCR. However, intricate shape, structural likeness and distinctive composition style of Bangla digits makes it relatively challenging to distinguish. Thus, in this paper, we benchmarked four rigorous classifiers to recognize... | [
"Visual Data in NLP",
"Language Models",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Information Retrieval",
"Text Classification",
"Multimodality"
] | [
20,
52,
3,
72,
24,
36,
74
] |
https://aclanthology.org//W09-2807/ | A Classification Algorithm for Predicting the Structure of Summaries | [
"Text Classification",
"Summarization",
"Text Generation",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
30,
47,
24,
3
] | |
http://arxiv.org/abs/cs/0009027v1 | A Classification Approach to Word Prediction | The eventual goal of a language model is to accurately predict the value of a missing word given its context. We present an approach to word prediction that is based on learning a representation for each word as a function of words and linguistics predicates in its context. This approach raises a few new questions that... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85123753584 | A Classification Based Approach to the Prediction of Song Popularity | Music is a continuously evolving field that has existed for centuries as a form of relaxation and entertainment. The field of music and its industry have grown considerably over the last few decades and constant efforts are being made to make hit songs so as to maximize the revenues generated. Online music streaming pl... | [
"Information Extraction & Text Mining",
"Text Classification",
"Speech & Audio in NLP",
"Sentiment Analysis",
"Information Retrieval",
"Multimodality"
] | [
3,
36,
70,
78,
24,
74
] |
SCOPUS_ID:85069817722 | A Classification Framework for Online Social Support Using Deep Learning | Health consumers engage in social interactions in online health communities (OHCs) to seek or provide social support. Automatic classification of social support exchanged online is important for both researchers and practitioners of online health communities, especially when a large number of messages are posted on reg... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85110139767 | A Classification Framework of Identifying Major Documents with Search Engine Suggestions and Unsupervised Subtopic Clustering | This paper addresses the problem of automatic recognition of out-of-topic documents from a small set of similar documents that are expected to be on some common topic. The objective is to remove documents of noise from a set. A topic model based classification framework is proposed for the task of discovering out-of-to... | [
"Low-Resource NLP",
"Topic Modeling",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Text Clustering",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
80,
9,
3,
72,
36,
12,
29,
24,
4
] |
SCOPUS_ID:85140573874 | A Classification Model for Road Traffic Incidents on Twitter Data | This study aims to create a classification model for road traffic incidents in Thailand using Twitter data. The challenging issue of our work is to deal with highly imbalanced dataset of 5 classes. As we surveyed, some pieces of research solved this issue by the Markov Chains method. However, using the Markov Chains in... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85081093214 | A Classification Model for Thai Statement Sentiments by Deep Learning Techniques | At present, many organizations realized the importance of sentiment analysis for consumer reviews. The positive and negative comments can help to evaluate the user satisfaction of products and services to control and improve their qualities. In addition, the deep learning techniques are very interesting methods for cur... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:85073897245 | A Classification Model of Power Equipment Defect Texts Based on Convolutional Neural Network | A large amount of equipment defect texts are left unused in power management system. According to the features of power equipment defect texts, a classification model of defect texts based on convolutional neural network is established. Firstly, the features of power equipment defect texts are extracted by analyzing a ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85063902757 | A Classification Retrieval Approach for English Legal Texts | It is a practical and complicated problem to find corresponding legal provisions automatically in the written description of the events in English legal texts. In order to solve this problem, this paper designs a classification method of legal texts based on feature words. Firstly, the relationship between legal provis... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/1303.1931v1 | A Classification of Adjectives for Polarity Lexicons Enhancement | Subjective language detection is one of the most important challenges in Sentiment Analysis. Because of the weight and frequency in opinionated texts, adjectives are considered a key piece in the opinion extraction process. These subjective units are more and more frequently collected in polarity lexicons in which they... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Text Classification",
"Sentiment Analysis"
] | [
3,
24,
36,
78
] |
SCOPUS_ID:0016050052 | A Classifier Design Technique for Discrete Variable Pattern Recognition Problems | This paper presents a new computerized technique to aid the designers of pattern classifiers when the measurement variables are discrete and the values form a simple nominal scale (no inherent metric). A theory of “prime events” which applies to patterns with measurements of this type is presented. A procedure for appl... | [
"Visual Data in NLP",
"Information Extraction & Text Mining",
"Linguistic Theories",
"Text Classification",
"Linguistics & Cognitive NLP",
"Information Retrieval",
"Multimodality"
] | [
20,
3,
57,
36,
48,
24,
74
] |
SCOPUS_ID:85044073956 | A Classifier to Identify Soft Skills in a Researcher Textual Description | Find Your Doctor (FYD) aims at becoming the first Job-placement agency in Italy dedicated to PhDs who are undergoing the transition outside Academia. To support the FYD Human Resources team we started a research project aimed at extracting, from texts (questionnaires) provided by a person telling his/her experience, a ... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
https://aclanthology.org//W05-1513/ | A Classifier-Based Parser with Linear Run-Time Complexity | [
"Text Classification",
"Syntactic Text Processing",
"Syntactic Parsing",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
15,
28,
24,
3
] | |
SCOPUS_ID:85130061316 | A Classroom-Centered Study of Third Tone in Mandarin Chinese | —Phonological third tone sandhi studies in Mandarin Chinese will lead more often to a lab-centered research, whereas the incorporation of phonetic tone sandhi studies into phonological analyses will shed a light on a classroom-centered study. This incorporation suggests a revised approach to the third tone sandhi from ... | [
"Phonetics",
"Phonology",
"Syntactic Text Processing"
] | [
64,
6,
15
] |
SCOPUS_ID:85061919258 | A Cleaning Algorithm for Noiseless Opinion Mining Corpus Construction | This paper presents DyCorC, an extractor and cleaner of web forums contents. Its main points are that the process is entirely automatic, language-independent and adaptable to all kinds of forum architectures. The corpus is built accordingly to user queries using expressions or item keywords as in research engines, and ... | [
"Opinion Mining",
"Sentiment Analysis"
] | [
49,
78
] |
SCOPUS_ID:84958942086 | A Clearer Picture: The Contribution of Visuals and Text to Framing Effects | Visuals in news media help define, or frame issues, but less is known about how they influence opinions and behavior. The authors use an experiment to present image and text exemplars of frames from war and conflict news in isolation and in image-text congruent and incongruent pairs. Results show that, when presented a... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85019653412 | A Clearer Vision: Creating and Evolving a Model to Support the Development of Science Teacher Leaders | This paper describes a professional development model for developing science teacher leaders that has evolved and been refined through working with 16 high school chemistry and physics teachers in high-needs schools over the past 3 years. The theoretical framework draws upon Goodwin’s notion of professional vision and ... | [
"Discourse & Pragmatics",
"Visual Data in NLP",
"Semantic Text Processing",
"Multimodality"
] | [
71,
20,
72,
74
] |
SCOPUS_ID:85098241518 | A Click-Through Rate Prediction Algorithm Based on Real-Time Advertising Data Logs | Advertisement is one of the ways merchants attract consumers and enhance their influence. In recent years, under the big picture of smart city and smart life, the advertising business has shown a trend of specialization. It has always been a tough problem for advertisers of how to show potential consumers in real time ... | [
"Passage Retrieval",
"Information Retrieval"
] | [
66,
24
] |
SCOPUS_ID:85137517815 | A Clinical Reasoning-Encoded Case Library Developed through Natural Language Processing | Importance: Case reports that externalize expert diagnostic reasoning are utilized for clinical reasoning instruction but are difficult to search based on symptoms, final diagnosis, or differential diagnosis construction. Computational approaches that uncover how experienced diagnosticians analyze the medical informati... | [
"Reasoning"
] | [
8
] |
https://aclanthology.org//2022.textgraphs-1.4/ | A Clique-based Graphical Approach to Detect Interpretable Adjectival Senses in Hungarian | The present paper introduces an ongoing research which aims to detect interpretable adjectival senses from monolingual corpora applying an unsupervised WSI approach. According to our expectations the findings of our investigation are going to contribute to the work of lexicographers, linguists and also facilitate the c... | [
"Explainability & Interpretability in NLP",
"Knowledge Representation",
"Semantic Text Processing",
"Responsible & Trustworthy NLP"
] | [
81,
18,
72,
4
] |
http://arxiv.org/abs/2211.00151v2 | A Close Look into the Calibration of Pre-trained Language Models | Pre-trained language models (PLMs) achieve remarkable performance on many downstream tasks, but may fail in giving reliable estimates of their predictive uncertainty. Given the lack of a comprehensive understanding of PLMs calibration, we take a close look into this new research problem, aiming to answer two questions:... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85031667923 | A Closeness Index-Based TODIM Method for Hesitant Qualitative Group Decision Making | The purpose of this study is to develop a hesitant trapezoidal fuzzy TODIM (interactive and multi-criteria decision making) with a closeness index-based ranking method to handle hesitant qualitative group decision making problems. First, a novel closeness index-based ranking method is presented to compare the magnitude... | [
"Indexing",
"Information Retrieval"
] | [
69,
24
] |
https://aclanthology.org//D19-6101/ | A Closer Look At Feature Space Data Augmentation For Few-Shot Intent Classification | New conversation topics and functionalities are constantly being added to conversational AI agents like Amazon Alexa and Apple Siri. As data collection and annotation is not scalable and is often costly, only a handful of examples for the new functionalities are available, which results in poor generalization performan... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Sentiment Analysis",
"Intent Recognition",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Text Classification",
"Responsible & Trustwo... | [
80,
52,
72,
24,
3,
78,
79,
11,
38,
36,
4
] |
https://aclanthology.org//D19-5410/ | A Closer Look at Data Bias in Neural Extractive Summarization Models | In this paper, we take stock of the current state of summarization datasets and explore how different factors of datasets influence the generalization behaviour of neural extractive summarization models. Specifically, we first propose several properties of datasets, which matter for the generalization of summarization ... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
http://arxiv.org/abs/2203.05243v1 | A Closer Look at Debiased Temporal Sentence Grounding in Videos: Dataset, Metric, and Approach | Temporal Sentence Grounding in Videos (TSGV), which aims to ground a natural language sentence in an untrimmed video, has drawn widespread attention over the past few years. However, recent studies have found that current benchmark datasets may have obvious moment annotation biases, enabling several simple baselines ev... | [
"Visual Data in NLP",
"Responsible & Trustworthy NLP",
"Robustness in NLP",
"Multimodality"
] | [
20,
4,
58,
74
] |
http://arxiv.org/abs/2106.14282v3 | A Closer Look at How Fine-tuning Changes BERT | Given the prevalence of pre-trained contextualized representations in today's NLP, there have been many efforts to understand what information they contain, and why they seem to be universally successful. The most common approach to use these representations involves fine-tuning them for an end task. Yet, how fine-tuni... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
http://arxiv.org/abs/2011.00960v1 | A Closer Look at Linguistic Knowledge in Masked Language Models: The Case of Relative Clauses in American English | Transformer-based language models achieve high performance on various tasks, but we still lack understanding of the kind of linguistic knowledge they learn and rely on. We evaluate three models (BERT, RoBERTa, and ALBERT), testing their grammatical and semantic knowledge by sentence-level probing, diagnostic cases, and... | [
"Language Models",
"Knowledge Representation",
"Semantic Text Processing"
] | [
52,
18,
72
] |
https://aclanthology.org//W19-8622/ | A Closer Look at Recent Results of Verb Selection for Data-to-Text NLG | Automatic natural language generation systems need to use the contextually-appropriate verbs when describing different kinds of facts or events, which has triggered research interest on verb selection for data-to-text generation. In this paper, we discuss a few limitations of the current task settings and the evaluatio... | [
"Data-to-Text Generation",
"Text Generation"
] | [
16,
47
] |
http://arxiv.org/abs/2012.08673v2 | A Closer Look at the Robustness of Vision-and-Language Pre-trained Models | Large-scale pre-trained multimodal transformers, such as ViLBERT and UNITER, have propelled the state of the art in vision-and-language (V+L) research to a new level. Although achieving impressive performance on standard tasks, to date, it still remains unclear how robust these pre-trained models are. To investigate, w... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
20,
52,
72,
58,
4,
74
] |
SCOPUS_ID:85136895009 | A Cloud Based Sentiment Analysis through Logistic Regression in AWS Platform | The use of Amazon Web Services is growing rapidly as more users are adopting the technology. It has various functionalities that can be used by large corporates and individuals as well. Sentiment analysis is used to build an intelligent system that can study the opinions of the people and help to classify those related... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85014531079 | A Cloud-Based Architecture with embedded Pragmatics Renderer for Ubiquitous and Cloud Manufacturing | The paper presents a Cloud-based architecture for Ubiquitous and Cloud Manufacturing as a multilayer communicational architecture designated as the Communicational Architecture. It is characterised as (a) rich client interfaces (Rich Internet Application) with sufficient interaction to allow user agility and competence... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:84055214173 | A Cloud-Based Recommender System - A case study of delicacy recommendation | Delicacy recommendation services are the trend of the future. In this paper, we propose an effective decision support systems (DSS), the Cloud-Based Recommender System (CBRS), which provides the introduction and commentaries of delicacies and restaurants with relevant recommendation. CBRS provides the web content retri... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85075992701 | A Cloud-Hosted MapReduce Architecture for Syntactic Parsing | Syntactic parsing is a time-consuming task in natural language processing particularly where a large number of text files are being processed. Parsing algorithms are conventionally designed to operate on a single machine in a sequential fashion and, as a consequence, fail to benefit from high performance and parallel c... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
SCOPUS_ID:85144859316 | A Cloud-Native Web Application for Assisted Metadata Generation and Retrieval: THESPIAN-NER † | Within the context of the Competence Centre for the Conservation of Cultural Heritage (4CH) project, the design and deployment of a platform-as-a-service cloud infrastructure for the first European competence centre of cultural heritage (CH) has begun, and some web services have been integrated into the platform. The f... | [
"Named Entity Recognition",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
34,
24,
3
] |
SCOPUS_ID:85124559594 | A Cloud-based Framework for COVID-19 Media Classification, Information Extraction, and Trends Analysis | The coronavirus COVID-19 pandemic has become the center of concern worldwide and hence the focus of media attention. Checking the coronavirus-related news and updates has become a daily routine of everyone. Hence, news processing and analytics become key solutions to harvest the real value of this massive amount of new... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85124797103 | A Cloud-based Robot System for Long-term Interaction: Principles, Implementation, Lessons Learned | Making the transition to long-term interaction with social-robot systems has been identified as one of the main challenges in human-robot interaction. This article identifies four design principles to address this challenge and applies them in a real-world implementation: cloud-based robot control, a modular design, on... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
https://aclanthology.org//2021.sigdial-1.29/ | A Cloud-based User-Centered Time-Offset Interaction Application | Time-offset interaction applications (TOIA) allow simulating conversations with people who have previously recorded relevant video utterances, which are played in response to their interacting user. TOIAs have great potential for preserving cross-generational and cross-cultural histories, online teaching, simulated int... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
http://arxiv.org/abs/1911.09532v2 | A Cluster Ranking Model for Full Anaphora Resolution | Anaphora resolution (coreference) systems designed for the CONLL 2012 dataset typically cannot handle key aspects of the full anaphora resolution task such as the identification of singletons and of certain types of non-referring expressions (e.g., expletives), as these aspects are not annotated in that corpus. However... | [
"Coreference Resolution",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
13,
3,
29
] |
http://arxiv.org/abs/2106.01183v1 | A Cluster-based Approach for Improving Isotropy in Contextual Embedding Space | The representation degeneration problem in Contextual Word Representations (CWRs) hurts the expressiveness of the embedding space by forming an anisotropic cone where even unrelated words have excessively positive correlations. Existing techniques for tackling this issue require a learning process to re-train models wi... | [
"Representation Learning",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Text Clustering"
] | [
12,
3,
72,
29
] |
http://arxiv.org/abs/1406.3287v3 | A Clustering Analysis of Tweet Length and its Relation to Sentiment | Sentiment analysis of Twitter data is performed. The researcher has made the following contributions via this paper: (1) an innovative method for deriving sentiment score dictionaries using an existing sentiment dictionary as seed words is explored, and (2) an analysis of clustered tweet sentiment scores based on tweet... | [
"Information Extraction & Text Mining",
"Sentiment Analysis",
"Text Clustering"
] | [
3,
78,
29
] |
SCOPUS_ID:85048492868 | A Clustering Based Adaptive Sequence-to-Sequence Model for Dialogue Systems | Dialogue systems which can communicate with people in natural language is popularly used in entertainments and language learning tools. As the development of deep neural networks, Sequence-to-Sequence models become the main stream models of conversation generation tasks which are the key part of dialogue systems, becau... | [
"Language Models",
"Semantic Text Processing",
"Dialogue Response Generation",
"Natural Language Interfaces",
"Text Clustering",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Information Extraction & Text Mining"
] | [
52,
72,
14,
11,
29,
47,
38,
3
] |
SCOPUS_ID:85132825037 | A Clustering-Based Method for Detecting Text Area in Videos Recorded with the Aid of a Smartphone | Text detection is a crucial task in image processing and computer vision applications. Several methods have been proposed, but little attention has been given to the detection of text area in the video frame recorded with the aid of a smartphone. To answer this gap, we propose in this work a new method for text detecti... | [
"Visual Data in NLP",
"Multimodality",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
20,
74,
3,
29
] |
SCOPUS_ID:85141818969 | A Clustering-based Approach for Topic Modeling via Word Network Analysis | This paper presents a clustering-based approach to topic modeling via analyzing word networks based on the adaptation of a community detection algorithm. Word networks are constructed with different word representations, and two types of topic assignments are introduced. Topic coherence score and the document clusterin... | [
"Topic Modeling",
"Information Extraction & Text Mining",
"Text Clustering"
] | [
9,
3,
29
] |
http://arxiv.org/abs/2010.03880v3 | A Co-Interactive Transformer for Joint Slot Filling and Intent Detection | Intent detection and slot filling are two main tasks for building a spoken language understanding (SLU) system. The two tasks are closely related and the information of one task can be utilized in the other task. Previous studies either model the two tasks separately or only consider the single information flow from in... | [
"Language Models",
"Semantic Text Processing",
"Semantic Parsing",
"Intent Recognition",
"Sentiment Analysis"
] | [
52,
72,
40,
79,
78
] |
http://arxiv.org/abs/1806.04068v1 | A Co-Matching Model for Multi-choice Reading Comprehension | Multi-choice reading comprehension is a challenging task, which involves the matching between a passage and a question-answer pair. This paper proposes a new co-matching approach to this problem, which jointly models whether a passage can match both a question and a candidate answer. Experimental results on the RACE da... | [
"Reasoning",
"Machine Reading Comprehension"
] | [
8,
37
] |
http://arxiv.org/abs/2106.00257v1 | A Coarse to Fine Question Answering System based on Reinforcement Learning | In this paper, we present a coarse to fine question answering (CFQA) system based on reinforcement learning which can efficiently processes documents with different lengths by choosing appropriate actions. The system is designed using an actor-critic based deep reinforcement learning model to achieve multi-step questio... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:85147999703 | A Coarse-to-Fine Text Matching Framework for Customer Service Question Answering | Customer service question answering have recently seen increased interest in NLP due to their potential commercial values. However, existing methods are largely based on Deep Neural Networks (DNNs) that are computationally expensive and memory intensive, which hinder their deployment in many real-world scenarios. In ad... | [
"Natural Language Interfaces",
"Question Answering",
"Dialogue Systems & Conversational Agents"
] | [
11,
27,
38
] |
SCOPUS_ID:85138795928 | A Coarse-to-Fine Training Paradigm for Dialogue Summarization | Pre-trained language models (PLMs) have achieved promising results on dialogue summarization. Previous works mainly encode semantic features from wordy dialogues to help PLMs model dialogues, but extracting those features from the original dialogue text is costly. Besides, the resulting semantic features may be also re... | [
"Language Models",
"Semantic Text Processing",
"Summarization",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Information Extraction & Text Mining"
] | [
52,
72,
30,
11,
47,
38,
3
] |
http://arxiv.org/abs/2209.14642v1 | A Coarse-to-fine Cascaded Evidence-Distillation Neural Network for Explainable Fake News Detection | Existing fake news detection methods aim to classify a piece of news as true or false and provide veracity explanations, achieving remarkable performances. However, they often tailor automated solutions on manual fact-checked reports, suffering from limited news coverage and debunking delays. When a piece of news has n... | [
"Language Models",
"Semantic Text Processing",
"Explainability & Interpretability in NLP",
"Ethical NLP",
"Responsible & Trustworthy NLP",
"Reasoning",
"Fact & Claim Verification",
"Green & Sustainable NLP"
] | [
52,
72,
81,
17,
4,
8,
46,
68
] |
SCOPUS_ID:85083559812 | A Code-Description Representation Learning Model Based on Attention | Code search is to retrieve source code given a query. By deep learning, the existing work embeds source code and its description into a shared vector space; however, this space is so general that each code token is associated with each description term. In this paper, we propose a code-description representation learni... | [
"Programming Languages in NLP",
"Semantic Text Processing",
"Representation Learning",
"Information Retrieval",
"Multimodality"
] | [
55,
72,
12,
24,
74
] |
SCOPUS_ID:85125851265 | A Code-Diverse Kannada-English Dataset for NLP Based Sentiment Analysis Applications | Due to expanded praxis of social media, there is an elevated interest in the Natural Language Processing (NLP) of textual substance. Code swapping is a ubiquitous paradox in multilingual nation and the social communication shows mixing of a low resourced language with a highly resourced language mostly written in non-n... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85126716062 | A Code-Diverse Tulu-English Dataset For NLP Based Sentiment Analysis Applications | Due to expanded praxis of social media, there is an elevated interest in the Natural Language Processing (NLP) of textual substance. Code swapping is a ubiquitous paradox in multilingual nation and the social communication shows mixing of a low resourced language with a highly resourced language mostly written in non-n... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:78149322723 | A Cognitive Approach to Clinical Phonology | [
"Phonology",
"Syntactic Text Processing"
] | [
6,
15
] | |
SCOPUS_ID:85107492338 | A Cognitive Approach to Determining the Effectiveness of Teamwork | The paper considers approaches to the concept of team effectiveness. The work aims to consider approaches to the concept of team effectiveness. This paper proposes to use cognitive simulation modeling as a tool for assessing personnel in teamwork. Team effectiveness is facilitated by the ability of its members to work ... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
SCOPUS_ID:85096438199 | A Cognitive Approach to Teaching Italian Prepositions to Polish Students | The present work aims to show a variety of teaching methods of Italian prepositions to Polish students. The study is based on cognitive linguistics, or, more specifically, Cognitive Grammar (Langacker, 1987) and one its key notions—imagery. One of the difficulties in learning Italian prepositions by Polish students is ... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
SCOPUS_ID:67649565526 | A Cognitive Grammar account of time motion 'metaphors': A view from Japanese | This article focuses on motion metaphors of time and complements Moore's (Cognitive Linguistics 17: 199-244, 2006) analysis, which insightfully discusses time metaphors, from the standpoint of Japanese data. The present paper argues that time metaphors should be analyzed in terms of Langacker's (Observations and specul... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
2,
48,
57
] |
SCOPUS_ID:85098232669 | A Cognitive Linguistic and Sentiment Analysis of Blogs: Monterosso 2011 Flooding | The aim of this study is to explore the use of web resources in order to trace the discursive strategies enacted to restore the image of a tourist destination. In particular, we analyze the case of Monterosso, damaged by a flood in 2011. The innovation of this paper consists in a twofold approach: a linguistic approach... | [
"Cognitive Modeling",
"Semantic Text Processing",
"Sentiment Analysis",
"Discourse & Pragmatics",
"Linguistics & Cognitive NLP"
] | [
2,
72,
78,
71,
48
] |
SCOPUS_ID:85130338859 | A Cognitive Linguistics approach to menstruation as a taboo in Gĩkũyũ | The taboos concerning bodily effluvia are generally motivated by our distaste and concern about pollution. Menstruation, for example, one of the bodily effluvia, is a physiological characteristic of the female human experience. However, cultural and social factors influence the way people conceptualize menstruation and... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
SCOPUS_ID:85056446681 | A Cognitive Machine Learning System for Phrases Composition and Semantic Comprehension | Although lexical and syntactic theories for phrase analyses have been well studied in linguistic theories and computational linguistics, semantic synthesis theories for cognitive computing are still a challenge in machine learning and brain-inspired systems. This paper studies theories and mathematical models of machin... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85130743378 | A Cognitive Model for Understanding the Takeover in Highly Automated Driving Depending on the Objective Complexity of Non-Driving Related Tasks and the Traffic Environment | The aim of this study is to refine a cognitive model for the takeover in highly automated driving. The focus lies on the impact of objective complexity on the takeover and resulting outcomes. Complexity consists of various aspects. In this study, objective complexities are divided into the complexity of the non-driving... | [
"Cognitive Modeling",
"Linguistics & Cognitive NLP"
] | [
2,
48
] |
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