id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:85125877137 | A Case Study of Visualizing Emotions with Social Media Emotion Analysis – Focused on Media Art Cases - | Background The amount of information produced, distributed, and stored is increasing exponentially as people produce and share information on the internet without restriction of time and space through smartphones. Most of the information produced on social media is used as unstructured data to analyze subjective opinio... | [
"Visual Data in NLP",
"Emotion Analysis",
"Multimodality",
"Sentiment Analysis"
] | [
20,
61,
74,
78
] |
SCOPUS_ID:85122318925 | A Case Study of the Shortcut Effects in Visual Commonsense Reasoning | Visual reasoning and question-answering have gathered attention in recent years. Many datasets and evaluation protocols have been proposed; some have been shown to contain bias that allows models to “cheat” without performing true, generalizable reasoning. A well-known bias is dependence on language priors (frequency o... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Commonsense Reasoning",
"Reasoning",
"Multimodality"
] | [
20,
52,
72,
62,
8,
74
] |
http://arxiv.org/abs/1910.02930v1 | A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions | Instructional videos get high-traffic on video sharing platforms, and prior work suggests that providing time-stamped, subtask annotations (e.g., "heat the oil in the pan") improves user experiences. However, current automatic annotation methods based on visual features alone perform only slightly better than constant ... | [
"Visual Data in NLP",
"Captioning",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
20,
39,
70,
47,
10,
74
] |
https://aclanthology.org//W19-3317/ | A Case Study on Meaning Representation for Vietnamese | This paper presents a case study on meaning representation for Vietnamese. Having introduced several existing semantic representation schemes for different languages, we select as basis for our work on Vietnamese AMR (Abstract Meaning Representation). From it, we define a meaning representation label set by adapting th... | [
"Knowledge Representation",
"Semantic Text Processing",
"Representation Learning"
] | [
18,
72,
12
] |
SCOPUS_ID:85030167717 | A Case Study on Moral Disengagement and Rationalization in the Context of Portuguese Bullfighting | Bullfighting is increasingly seen as a contested practice in Portugal. The Portuguese public generally disapproves of the practice and the Portuguese animal rights movement has dedicated a significant number of their campaigns to protesting against it. Despite this opposition to the practice, however, there is still le... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
http://arxiv.org/abs/2105.09702v1 | A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report | We describe our work on information extraction in medical documents written in German, especially detecting negations using an architecture based on the UIMA pipeline. Based on our previous work on software modules to cover medical concepts like diagnoses, examinations, etc. we employ a version of the NegEx regular exp... | [
"Syntactic Parsing",
"Syntactic Text Processing",
"Information Extraction & Text Mining"
] | [
28,
15,
3
] |
SCOPUS_ID:85118658114 | A Case Study on Social Media Analytics for Malaysia Budget | Malaysia citizen always looks forward to the budget announcement, which is presented by the government each year. Due to the direct effect on the economy, the citizens' opinions are crucial in understanding what they want and whether the budget satisfies them or not. Social media analytics can gather netizens’ opinions... | [
"Sentiment Analysis"
] | [
78
] |
https://aclanthology.org//2022.eamt-1.24/ | A Case Study on the Importance of Named Entities in a Machine Translation Pipeline for Customer Support Content | This paper describes the research developed at Unbabel, a Portuguese Machine-translation start-up, that combines MT with human post-edition and focuses strictly on customer service content. We aim to contribute to furthering MT quality and good-practices by exposing the importance of having a continuously-in-developmen... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/2111.10776v3 | A Case Study on the Independence of Speech Emotion Recognition in Bangla and English Languages using Language-Independent Prosodic Features | A language agnostic approach to recognizing emotions from speech remains an incomplete and challenging task. In this paper, we performed a step-by-step comparative analysis of Speech Emotion Recognition (SER) using Bangla and English languages to assess whether distinguishing emotions from speech is independent of lang... | [
"Emotion Analysis",
"Multimodality",
"Speech & Audio in NLP",
"Sentiment Analysis"
] | [
61,
74,
70,
78
] |
http://arxiv.org/abs/2110.00866v1 | A Case Study to Reveal if an Area of Interest has a Trend in Ongoing Tweets Using Word and Sentence Embeddings | In the field of Natural Language Processing, information extraction from texts has been the objective of many researchers for years. Many different techniques have been applied in order to reveal the opinion that a tweet might have, thus understanding the sentiment of the small writing up to 280 characters. Other than ... | [
"Representation Learning",
"Semantic Text Processing",
"Sentiment Analysis"
] | [
12,
72,
78
] |
https://aclanthology.org//W14-4401/ | A Case Study: NLG meeting Weather Industry Demand for Quality and Quantity of Textual Weather Forecasts | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:85136976302 | A Case-Based Approach for Content Planning in Data-to-Text Generation | The problem of Data-to-Text Generation (D2T) is usually solved using a modular approach by breaking the generation process into some variant of planning and realisation phases. Traditional methods have been very good at producing high quality texts but are difficult to build for complex domains and also lack diversity.... | [
"Data-to-Text Generation",
"Text Generation"
] | [
16,
47
] |
SCOPUS_ID:85115441488 | A Case-Based Approach to Data-to-Text Generation | Traditional Data-to-Text Generation (D2T) systems utilise carefully crafted domain specific rules and templates to generate high quality accurate texts. More recent approaches use neural systems to learn domain rules from the training data to produce very fluent and diverse texts. However, there is a trade-off with rul... | [
"Data-to-Text Generation",
"Text Generation"
] | [
16,
47
] |
SCOPUS_ID:85026640633 | A Case-Based Reasoning Approach to Convert Natural Language into First Order Logic | Text is the backbone of the web and most of the information and human knowledge is represented in natural language. Every day, a vast amount of textual information is posted in web portals, wikis and news sites and necessitates automated approaches to analyze and understand their content. In this paper, we present a ca... | [
"Reasoning",
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
8,
28,
15
] |
SCOPUS_ID:85050736095 | A Case-Based Reasoning Decision-Making Model for Hesitant Fuzzy Linguistic Information | In some complicated decision-making problems, because of time pressure or the lack of necessary information, decision makers (DMs) infrequently select optimal alternatives, but acquire satisfactory alternatives that can be obtained by analyzing the correlation between the decision problems and past similar cases. Case-... | [
"Reasoning",
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
8,
24,
36,
3
] |
http://arxiv.org/abs/2302.03494v7 | A Categorical Archive of ChatGPT Failures | Large language models have been demonstrated to be valuable in different fields. ChatGPT, developed by OpenAI, has been trained using massive amounts of data and simulates human conversation by comprehending context and generating appropriate responses. It has garnered significant attention due to its ability to effect... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
11,
38,
24,
3
] |
http://arxiv.org/abs/2211.01290v3 | A Categorical Framework for Modeling with Stock and Flow Diagrams | Stock and flow diagrams are already an important tool in epidemiology, but category theory lets us go further and treat these diagrams as mathematical entities in their own right. In this chapter we use communicable disease models created with our software, StockFlow.jl, to explain the benefits of the categorical appro... | [
"Text Classification",
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
81,
4,
24,
3
] |
SCOPUS_ID:85075827604 | A Category Detection Method for Evidence-Based Medicine | Evidence-Based Medicine (EBM) gathers evidence by analyzing large databases of medical literatures and retrieving relevant clinical thematic texts. However, the abstracts of medical articles generally show the themes of clinical practice, populations, research methods and experimental results of the thesis in an unstru... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Reasoning",
"Fact & Claim Verification",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
12,
8,
46,
36,
3
] |
SCOPUS_ID:85124624190 | A Category Hybrid Embedding Based Approach for Power Text Hierarchical Classification | Aiming at the problem that the current power text classification methods ignore the latent semantic association between category labels and therefore lead to low classification performance, a hierarchical multi-label power text classification method is proposed. Firstly, a power multi-label text dataset is built using ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
12,
24,
3
] |
SCOPUS_ID:85145884856 | A Category Theory Framework for Sense Systems | Sense repositories are a key component of many NLP applications that require the identification of word senses, a task known as word sense disambiguation. WordNet synsets form the most prominent repository, but many others exist and over the years these repositories have been mapped to each other. However, there have b... | [
"Linguistics & Cognitive NLP",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Linguistic Theories"
] | [
48,
72,
65,
57
] |
http://arxiv.org/abs/2210.12023v2 | A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models | We have recently witnessed a number of impressive results on hard mathematical reasoning problems with language models. At the same time, the robustness of these models has also been called into question; recent works have shown that models can rely on shallow patterns in the problem description when predicting a solut... | [
"Language Models",
"Semantic Text Processing",
"Robustness in NLP",
"Reasoning",
"Numerical Reasoning",
"Responsible & Trustworthy NLP"
] | [
52,
72,
58,
8,
5,
4
] |
http://arxiv.org/abs/1911.10787v1 | A Causal Inference Method for Reducing Gender Bias in Word Embedding Relations | Word embedding has become essential for natural language processing as it boosts empirical performances of various tasks. However, recent research discovers that gender bias is incorporated in neural word embeddings, and downstream tasks that rely on these biased word vectors also produce gender-biased results. While s... | [
"Semantic Text Processing",
"Robustness in NLP",
"Representation Learning",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
72,
58,
12,
17,
4
] |
http://arxiv.org/abs/2201.09119v1 | A Causal Lens for Controllable Text Generation | Controllable text generation concerns two fundamental tasks of wide applications, namely generating text of given attributes (i.e., attribute-conditional generation), and minimally editing existing text to possess desired attributes (i.e., text attribute transfer). Extensive prior work has largely studied the two probl... | [
"Text Generation"
] | [
47
] |
http://arxiv.org/abs/1905.08392v1 | A Causality-Guided Prediction of the TED Talk Ratings from the Speech-Transcripts using Neural Networks | Automated prediction of public speaking performance enables novel systems for tutoring public speaking skills. We use the largest open repository---TED Talks---to predict the ratings provided by the online viewers. The dataset contains over 2200 talk transcripts and the associated meta information including over 5.5 mi... | [
"Speech & Audio in NLP",
"Multimodality"
] | [
70,
74
] |
SCOPUS_ID:85127372132 | A Centered Convolutional Restricted Boltzmann Machine Optimized by Hybrid Atom Search Arithmetic Optimization Algorithm for Sentimental Analysis | Sentiment analysis uses natural language processing (NLP) to track online conversations and uncover additional information about a subject, business, or theme. Existing machine-learning algorithms are accurate and perform well, but they struggle to reduce computational time and cope with the noisy and high-dimensional ... | [
"Information Retrieval",
"Sentiment Analysis"
] | [
24,
78
] |
SCOPUS_ID:85123470669 | A Central Opinion Extraction Framework for Boosting Performance on Sentiment Analysis | With the rapid development of the Internet, mining opinions and emotions from the explosive growth of user-generated content is a key field of social media analysis. However, the expression forms of the central opinion which strongly expresses the essential points and converges the main sentiments of the overall docume... | [
"Opinion Mining",
"Sentiment Analysis",
"Information Extraction & Text Mining"
] | [
49,
78,
3
] |
SCOPUS_ID:85034631424 | A Centralized Service Discovery Algorithm via Multi-Stage Semantic Service Matching in Internet of Things | In recent years, the number of services in Internet of Things (IoT) has increased rapidly, and service discovery in IoT has become more difficult in large-scale registration. In the traditional matching method, in order to get a better match results, all the matching parameters for services had to be calculated togethe... | [
"Semantic Text Processing",
"Semantic Similarity"
] | [
72,
53
] |
https://aclanthology.org//W16-6628/ | A Challenge Proposal for Narrative Generation Using CNLs | [
"Text Generation"
] | [
47
] | |
http://arxiv.org/abs/1704.07431v5 | A Challenge Set Approach to Evaluating Machine Translation | Neural machine translation represents an exciting leap forward in translation quality. But what longstanding weaknesses does it resolve, and which remain? We address these questions with a challenge set approach to translation evaluation and error analysis. A challenge set consists of a small set of sentences, each han... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/1806.02725v2 | A Challenge Set for French --> English Machine Translation | We present a challenge set for French --> English machine translation based on the approach introduced in Isabelle, Cherry and Foster (EMNLP 2017). Such challenge sets are made up of sentences that are expected to be relatively difficult for machines to translate correctly because their most straightforward translation... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85120946648 | A Challenge for Contrastive L1/L2 Corpus Studies: Large Inter- and Intra-Individual Variation Across Morphological, but Not Global Syntactic Categories in Task-Based Corpus Data of a Homogeneous L1 German Group | In this paper, we present corpus data that questions the concept of native speaker homogeneity as it is presumed in many studies using native speakers (L1) as a control group for learner data (L2), especially in corpus contexts. Usage-based research on second and foreign language acquisition often investigates quantita... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
http://arxiv.org/abs/2207.02657v2 | A Challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems | A challenge on Semi-Supervised and Reinforced Task-Oriented Dialog Systems, Co-located with EMNLP2022 SereTOD Workshop. | [
"Low-Resource NLP",
"Natural Language Interfaces",
"Responsible & Trustworthy NLP",
"Dialogue Systems & Conversational Agents"
] | [
80,
11,
4,
38
] |
https://aclanthology.org//W16-5505/ | A Challenge to the Third Hoshi Shinichi Award | [
"Text Generation"
] | [
47
] | |
http://arxiv.org/abs/2303.03840v2 | A Challenging Benchmark for Low-Resource Learning | With promising yet saturated results in high-resource settings, low-resource datasets have gradually become popular benchmarks for evaluating the learning ability of advanced neural networks (e.g., BigBench, superGLUE). Some models even surpass humans according to benchmark test results. However, we find that there exi... | [
"Low-Resource NLP",
"Language Models",
"Semantic Text Processing",
"Responsible & Trustworthy NLP"
] | [
80,
52,
72,
4
] |
SCOPUS_ID:85133024446 | A Chaotic Antlion Optimization Algorithm for Text Feature Selection | Text classification is one of the important technologies in the field of text data mining. Feature selection, as a key step in processing text classification tasks, is used to process high-dimensional feature sets, which directly affects the final classification performance. At present, the most widely used text featur... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85107916382 | A Character Flow Framework for Multi-Oriented Scene Text Detection | Scene text detection plays a significant role in various applications, such as object recognition, document management, and visual navigation. The instance segmentation based method has been mostly used in existing research due to its advantages in dealing with multi-oriented texts. However, a large number of non-text ... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85128030972 | A Character String-Based Stemming for Morphologically Derivative Languages | Morphologically derivative languages form words by fusing stems and suffixes, stems are important to be extracted in order to make cross lingual alignment and knowledge transfer. As there are phonetic harmony and disharmony when linguistic particles are combined, both phonetic and morphological changes need to be analy... | [
"Semantic Text Processing",
"Morphology",
"Syntactic Text Processing",
"Representation Learning",
"Phonetics",
"Cross-Lingual Transfer",
"Multilinguality"
] | [
72,
73,
15,
12,
64,
19,
0
] |
SCOPUS_ID:85073232408 | A Character-Enhanced Chinese Word Embedding Model | Distributed word representation has demonstrated its advantages in many natural language processing tasks. Such as named entity recognition, entity relation extraction, and text classification. Traditional one-hot word representation represents a word as a high-dimensional and sparse vector. Instead, distributed word r... | [
"Semantic Text Processing",
"Information Retrieval",
"Morphology",
"Syntactic Text Processing",
"Representation Learning",
"Named Entity Recognition",
"Text Classification",
"Information Extraction & Text Mining"
] | [
72,
24,
73,
15,
12,
34,
36,
3
] |
http://arxiv.org/abs/1903.02642v1 | A Character-Level Approach to the Text Normalization Problem Based on a New Causal Encoder | Text normalization is a ubiquitous process that appears as the first step of many Natural Language Processing problems. However, previous Deep Learning approaches have suffered from so-called silly errors, which are undetectable on unsupervised frameworks, making those models unsuitable for deployment. In this work, we... | [
"Language Models",
"Text Normalization",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
52,
59,
72,
15
] |
SCOPUS_ID:85078924636 | A Character-Level BiLSTM-CRF Model with Multi-Representations for Chinese Event Detection | Using the word as a basic unit may undermine Chinese event detection model's performance because of the inaccurate word boundaries generated by segmentation tools. Besides, word embeddings are contextual independent and cannot handle the polysemy of event triggers, which may prevent us from obtaining the desired perfor... | [
"Language Models",
"Semantic Text Processing",
"Representation Learning",
"Event Extraction",
"Information Extraction & Text Mining"
] | [
52,
72,
12,
31,
3
] |
http://arxiv.org/abs/1603.06147v4 | A Character-Level Decoder without Explicit Segmentation for Neural Machine Translation | The existing machine translation systems, whether phrase-based or neural, have relied almost exclusively on word-level modelling with explicit segmentation. In this paper, we ask a fundamental question: can neural machine translation generate a character sequence without any explicit segmentation? To answer this questi... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
SCOPUS_ID:85064555247 | A Character-Level Deep Lifelong Learning Model for Named Entity Recognition in Vietnamese Text | Lifelong Machine Learning (LML) is a continuous learning process, in which the knowledge learned from previous tasks is accumulated in the knowledge base, then the knowledge will be used to support future learning tasks, for which it may be only a few of samples exists. However, there is a little of studies on LML base... | [
"Language Models",
"Semantic Text Processing",
"Knowledge Representation",
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
52,
72,
18,
34,
3
] |
http://arxiv.org/abs/2205.14522v2 | A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization | Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation. In previous work, researchers have developed various approaches to improve the ROUGE score, which is the main evaluation metric for summarization, ... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85055682657 | A Character-Level Method for Text Classification | We propose a language model of mix CNN (Convolution Neural Network) with bi-RNN (Bi-directional Recurrent Neural Network) to classify the text at the character-level. Unlike word-level model is that avoiding the problem of unregistered words and improves the robustness of the text representation in character-level mode... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/1612.03266v1 | A Character-Word Compositional Neural Language Model for Finnish | Inspired by recent research, we explore ways to model the highly morphological Finnish language at the level of characters while maintaining the performance of word-level models. We propose a new Character-to-Word-to-Character (C2W2C) compositional language model that uses characters as input and output while still int... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Morphology"
] | [
52,
72,
15,
73
] |
SCOPUS_ID:85125037810 | A Character-Word Graph Attention Networks for Chinese Text Classification | Text classification is an important task in natural language processing. Different from English, Chinese text owns two representations, character-level and word-level. The former has abundant connotations and the latter owns specific meanings. Current researches often simply concatenated two-level features with little ... | [
"Structured Data in NLP",
"Text Classification",
"Multimodality",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
50,
36,
74,
24,
3
] |
https://aclanthology.org//W02-1117/ | A Character-net Based Chinese Text Segmentation Method | [
"Knowledge Representation",
"Text Segmentation",
"Semantic Text Processing",
"Syntactic Text Processing"
] | [
18,
21,
72,
15
] | |
SCOPUS_ID:85124904965 | A Characterization of Dante Alighieri: An NLP approach to the Divine Comedy | The main goal of this research is to offer a new perspective of Dante Alighieri and his most famous work: The Divine Comedy based on natural language processing. We seek to provide rigorous evidence to enhance literary analysis on The Divine Comedy. We utilized sentiment analysis, text classification and topic modeling... | [
"Topic Modeling",
"Information Extraction & Text Mining"
] | [
9,
3
] |
SCOPUS_ID:85137086794 | A Characterization of Word- Usage of Students Using Part-of-Speech Information | The goal of the study presented in this paper is to understand attitudes and viewpoints of university students toward learning. We have been investigating text data obtained as answer texts for a term-end questionnaire in a class, and have found some interesting facts about students' attitude toward learning. This pape... | [
"Information Extraction & Text Mining",
"Multimodality"
] | [
3,
74
] |
http://arxiv.org/abs/1808.07214v2 | A Characterwise Windowed Approach to Hebrew Morphological Segmentation | This paper presents a novel approach to the segmentation of orthographic word forms in contemporary Hebrew, focusing purely on splitting without carrying out morphological analysis or disambiguation. Casting the analysis task as character-wise binary classification and using adjacent character and word-based lexicon-lo... | [
"Syntactic Text Processing",
"Morphology"
] | [
15,
73
] |
http://arxiv.org/abs/cmp-lg/9605017v1 | A Chart Generator for Shake and Bake Machine Translation | A generation algorithm based on an active chart parsing algorithm is introduced which can be used in conjunction with a Shake and Bake machine translation system. A concise Prolog implementation of the algorithm is provided, and some performance comparisons with a shift-reduce based algorithm are given which show the c... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
http://arxiv.org/abs/cs/0209002v1 | A Chart-Parsing Algorithm for Efficient Semantic Analysis | In some contexts, well-formed natural language cannot be expected as input to information or communication systems. In these contexts, the use of grammar-independent input (sequences of uninflected semantic units like e.g. language-independent icons) can be an answer to the users' needs. A semantic analysis can be perf... | [
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
4,
68
] |
SCOPUS_ID:85115716676 | A Chatbot Solution for Self-Reading Energy Consumption via Chatting Applications | To mitigate financial loss and follow the recommended sanitary measures due to the COVID-19 pandemic, self-reading, a method in which a consumer reads and reports his own energy consumption, has been presented as an efficient alternative for power companies. In such context, this work presents a solution for self-readi... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85123303359 | A Chatbot as a Support System for Educational Institutions | The constant advance of technology in recent years has generated that several educational institutions are in the need to implement various technological tools to improve educational services; however, several of these programs have not been able to meet the needs they required. For this reason, the use of a chatbot em... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85087638546 | A Chatbot based on Deep Neural Network and Public Cloud Services with TJBot Interface | This paper describes an adaptation of the IBM TJBot as a chatbot interface. TJBot is an open source project designed to use artificial intelligence services in user friendly way. Primary it has been developed to be used with IBM Watson services. The adaptation has been done in three steps. In the first step deep neural... | [
"Machine Translation",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Multilinguality"
] | [
51,
11,
47,
38,
0
] |
SCOPUS_ID:85115441331 | A Chatbot for Recipe Recommendation and Preference Modeling | This paper describes the main steps and challenges in building a chatbot for a nutritional recommendation system addressed to the elderly population. We identified 4 main components: Natural Language Understanding (NLU), Dialogue Management, Preference Modeling and Ingredient Matching and Extraction. To address the spe... | [
"Semantic Text Processing",
"Sentiment Analysis",
"Natural Language Interfaces",
"Knowledge Representation",
"Dialogue Systems & Conversational Agents"
] | [
72,
78,
11,
18,
38
] |
SCOPUS_ID:85122673642 | A Chatbot to Support Basic Students Questions | Chatbots are tools that use artificial intelligence to simulate a human conversation. They can be used for different applications such as providing customer service within an e-commerce or answering FAQs (Frequently Asked Questions). This work proposes the development of a chatbot to help students from a Brazilian publ... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85116858854 | A Chatbot to promote Students Mental Health through Emotion Recognition | The objective of this paper is to develop a chatbot for students to promote their mental health through emotion recognition technique. Nowadays, students are facing a lot of mental health issues due to various reasons like pandemic lockdowns, peer pressure, social media bullying, academic stress, loneliness, sexual har... | [
"Natural Language Interfaces",
"Ethical NLP",
"Sentiment Analysis",
"Responsible & Trustworthy NLP",
"Emotion Analysis",
"Reasoning",
"Dialogue Systems & Conversational Agents"
] | [
11,
17,
78,
4,
61,
8,
38
] |
SCOPUS_ID:85119006966 | A Chatterbot Based on Genetic Algorithm: Preliminary Results | Chatterbots are programs that simulate an intelligent conversation with people. They are commonly used in customer service, product suggestions, e-commerce, travel and vacations, queries, and complaints. Although some works have presented valuable studies by using several technologies including evolutionary computing, ... | [
"Natural Language Interfaces",
"Programming Languages in NLP",
"Multimodality",
"Dialogue Systems & Conversational Agents"
] | [
11,
55,
74,
38
] |
SCOPUS_ID:85063628888 | A Chi-Square Statistics Based Feature Selection Method in Text Classification | Text classification refers to the process of automatically determining text categories based on text content in a given classification system. Text classification mainly includes several steps such as word segmentation, feature selection, weight calculation and classification performance evaluation. Among them, feature... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85055536286 | A Childhood Disease Database Based on Word Segmentation Technology: Research and Practice | Most Chinese EMRs, text mining over which enable compilation of specific disease databases, are stored as unstructured text, natural language in the field of medicine is distinct and differs from general Chinese. word segmentation of EMRs, pattern matching and feature mining methods were used to find the quantity of di... | [
"Semantic Parsing",
"Semantic Text Processing",
"Syntactic Text Processing",
"Text Segmentation"
] | [
40,
72,
15,
21
] |
SCOPUS_ID:85147881687 | A Chinese BERT-Based Dual-Channel Named Entity Recognition Method for Solid Rocket Engines | With the Chinese data for solid rocket engines, traditional named entity recognition cannot be used to learn both character features and contextual sequence-related information from the input text, and there is a lack of research on the advantages of dual-channel networks. To address this problem, this paper proposes a... | [
"Language Models",
"Named Entity Recognition",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
52,
34,
72,
3
] |
SCOPUS_ID:85142282434 | A Chinese Business License Text Detection Algorithm Based On Multi-Scale Features | In practice, text detection is needed for document image recognition, where the images have long text, large text, as well as dense small text areas. Connection Text Proposal Network (CTPN) is a classical model for text detection, but it is challenging for CTPN to detect dense small text areas. To overcome the challeng... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85103837068 | A Chinese Character-Level and Word-Level Complementary Text Classification Method | Text classification is a basic but important task in many natural language processing tasks. Nowadays, the mainstream classification methods mostly use deep learning technology, which shows better accuracy and stability in English text classification. Different from English text, Chinese text classification task involv... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2004.08825v1 | A Chinese Corpus for Fine-grained Entity Typing | Fine-grained entity typing is a challenging task with wide applications. However, most existing datasets for this task are in English. In this paper, we introduce a corpus for Chinese fine-grained entity typing that contains 4,800 mentions manually labeled through crowdsourcing. Each mention is annotated with free-form... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:85107683710 | A Chinese Dataset for Exploring Financial Numeral Attributes | The existing datasets are mostly composed of official documents, statements, news articles, and so forth. So far, only a little attention has been paid to the numerals in financial social comments. Therefore, this paper presents CFinNumAttr, a financial numeral attribute dataset in Chinese via annotating the stock revi... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85128661832 | A Chinese Document-level Event Extraction Method based on ERNIE | Event extraction is a key technology in natural language processing and has strong application prospects for extracting knowledge from unstructured data. The current event extraction technique is mainly based on sentence-based event extraction, which has the disadvantages of incomplete coverage of extracted events and ... | [
"Event Extraction",
"Information Extraction & Text Mining"
] | [
31,
3
] |
SCOPUS_ID:85048253826 | A Chinese Drama Rehearsal System Based on Phonetic Matching and Augmented Reality | Antiphonal singing is a common and important form of expression in Chinese drama. Antiphonal singing requires two actors performs in turns, and their action, expression, gesture need to correspond to the other one. In this paper the authors present a Chinese drama rehearsal system based on phonetic matching and augment... | [
"Phonetics",
"Syntactic Text Processing"
] | [
64,
15
] |
SCOPUS_ID:85073262697 | A Chinese Event Relation Extraction Model Based on BERT | Relation extraction and event extraction are important subtasks of information extraction. To identify the relations and events in Chinese text accurately can help to improve the performance of tasks such as graph construction and risk conduction. Different from the traditional methods, this paper proposes a joint mode... | [
"Language Models",
"Semantic Text Processing",
"Relation Extraction",
"Event Extraction",
"Information Extraction & Text Mining"
] | [
52,
72,
75,
31,
3
] |
SCOPUS_ID:85149933667 | A Chinese Few-Shot Text Classification Method Utilizing Improved Prompt Learning and Unlabeled Data | Insufficiently labeled samples and low-generalization performance have become significant natural language processing problems, drawing significant concern for few-shot text classification (FSTC). Advances in prompt learning have significantly improved the performance of FSTC. However, prompt learning methods typically... | [
"Language Models",
"Low-Resource NLP",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
52,
80,
72,
24,
3,
36,
4
] |
SCOPUS_ID:85129007993 | A Chinese Grammatical Error Correction Method Based on Iterative Training and Sequence Tagging | Chinese grammatical error correction (GEC) is under continuous development and improvement, and this is a challenging task in the field of natural language processing due to the high complexity and flexibility of Chinese grammar. Nowadays, the iterative sequence tagging approach is widely applied to Chinese GEC tasks b... | [
"Text Error Correction",
"Tagging",
"Syntactic Text Processing"
] | [
26,
63,
15
] |
SCOPUS_ID:85119196306 | A Chinese Knowledge Base Question Answering System | This paper presents a HAO-Interaction question answering system, which exploits knowledge based question answering (KBQA) technology to quickly obtain an answer path for the input question, and then a creative text generation mechanism to acquire the final answer text. The system also provides visibility of the answer ... | [
"Semantic Text Processing",
"Question Answering",
"Natural Language Interfaces",
"Knowledge Representation",
"Text Generation"
] | [
72,
27,
11,
18,
47
] |
SCOPUS_ID:85145776691 | A Chinese L2 Learners' Dynamic Vocabulary Growth Network Model Based on Graph Deep Learning | This paper regards vocabulary networks mastered by Chinese second language(L2) learners at different levels as sub graphs of a Chinese Word Co-occurrence Network, embeds these subgraphs with the help of graph deep learning techniques such as TSPMiner model and Order Embedding algorithm, and builds a dynamic vocabulary ... | [
"Multimodality",
"Structured Data in NLP",
"Semantic Text Processing",
"Representation Learning"
] | [
74,
50,
72,
12
] |
SCOPUS_ID:85113578050 | A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph | Machine reading comprehension (MRC) is a typical natural language processing (NLP) task and has developed rapidly in the last few years. Various reading comprehension datasets have been built to support MRC studies. However, large-scale and high-quality datasets are rare due to the high complexity and huge workforce co... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Multimodality",
"Text Generation",
"Reasoning",
"Machine Reading Comprehension"
] | [
72,
50,
18,
74,
47,
8,
37
] |
SCOPUS_ID:85136155456 | A Chinese Multi-modal Relation Extraction Model for Internet Security of Finance | As the base of the whole economy and society, internet security of finance directly affects the overall development of the country. With the development of the Internet, it is essential to effectively extract the relation between financial entities from internet financial intelligence and build a financial security kno... | [
"Multimodality",
"Relation Extraction",
"Information Extraction & Text Mining"
] | [
74,
75,
3
] |
http://arxiv.org/abs/2111.06086v1 | A Chinese Multi-type Complex Questions Answering Dataset over Wikidata | Complex Knowledge Base Question Answering is a popular area of research in the past decade. Recent public datasets have led to encouraging results in this field, but are mostly limited to English and only involve a small number of question types and relations, hindering research in more realistic settings and in langua... | [
"Natural Language Interfaces",
"Knowledge Representation",
"Semantic Text Processing",
"Question Answering"
] | [
11,
18,
72,
27
] |
SCOPUS_ID:85149946762 | A Chinese Named Entity Recognition Method Based on ERNIE-BiLSTM-CRF for Food Safety Domain | Food safety is closely related to human health. Therefore, named entity recognition technology is used to extract named entities related to food safety, and building a regulatory knowledge graph in the field of food safety can help relevant authorities to regulate food safety issues and mitigate the hazards caused by f... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Robustness in NLP",
"Named Entity Recognition",
"Responsible & Trustworthy NLP",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
58,
34,
4,
36,
3
] |
SCOPUS_ID:85137913982 | A Chinese Named Entity Recognition Method Based on Fusion of Character and Word Features | Named entity recognition is the upstream task in natural language processing tasks and is the basis for carrying out other downstream tasks. To enhance the effectiveness of the model for named entity recognition, a character vector with semantic features is obtained using BERT as the underlying encoder, followed by con... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:57849140825 | A Chinese QA system based on lexical chain | Most technologies of Chinese Question Answering System didn't make full use of the semantic information. This paper introduces an idea of building QA System based on lexical chain. The approach is to build lexical chains between question and the candidate answers, and then elect the most exact answer by comparing the c... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:85051560802 | A Chinese Question Answering System in Medical Domain | Question answering systems offer a friendly interface for human beings to interact with massive online information. It is time consuming for users to retrieve useful medical information with search engines among massive online websites. An effort is made to build a Chinese Question Answering System in Medical Domain (C... | [
"Semantic Text Processing",
"Question Answering",
"Representation Learning",
"Natural Language Interfaces",
"Knowledge Representation"
] | [
72,
27,
12,
11,
18
] |
SCOPUS_ID:78651444185 | A Chinese Question Answering system using web service on restricted domain | Nowadays, the knowledge base of Question Answering system, usually stores question answering pairs or text content extracted from web pages. But in last decades, in order to improve work efficiency, many enterprises had made large investment on ERP (Enterprise Resource Planning) and MIS (Management Information System).... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
SCOPUS_ID:85146964458 | A Chinese Short Text Classification Method Based on TF-IDF and Gradient Boosting Decision Tree | To solve the problem of feature extraction and semantic sparsity in Chinese short text classification, this paper uses TF-IDF algorithm to extract category keywords and uses the set of category keywords as the feature set of short text classification. Next, the weight of keyword features is obtained by calculating the ... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85124418307 | A Chinese Speech Recognition System Based on Fusion Network Structure | The purpose of an automatic speech recognition system is to convert speech into recognizable text. Chinese is a language in which the same pronunciation but different writing means different meanings. At present, there are relatively few researches on Chinese speech recognition. Therefore, we propose a Chinese automati... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Text Generation",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
47,
10,
74
] |
http://arxiv.org/abs/2210.13823v1 | A Chinese Spelling Check Framework Based on Reverse Contrastive Learning | Chinese spelling check is a task to detect and correct spelling mistakes in Chinese text. Existing research aims to enhance the text representation and use multi-source information to improve the detection and correction capabilities of models, but does not pay too much attention to improving their ability to distingui... | [
"Language Models",
"Text Error Correction",
"Semantic Text Processing",
"Syntactic Text Processing",
"Representation Learning"
] | [
52,
26,
72,
15,
12
] |
SCOPUS_ID:85063913820 | A Chinese Text Classier Based on Strong Class Feature Selection and Bayesian Algorithm | For improve the efficiency and accuracy of Chinese text categorization, this paper presents a new Chinese text classier, in which word segmentation system is based on forward scan corpus, and word frequency statistics method is different in the training stage and the test stage, after that, a novel feature selection is... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85124961195 | A Chinese Text Classification Method Based on BERT and Convolutional Neural Network | Text classification has always been an important task in natural language processing. In recent years, text classification has been widely used in emotion analysis, intention recognition, intelligent question answering and other fields. In this paper, the word vector is generated based on the Bert model, and the text f... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
http://arxiv.org/abs/2010.14784v2 | A Chinese Text Classification Method With Low Hardware Requirement Based on Improved Model Concatenation | In order to improve the accuracy performance of Chinese text classification models with low hardware requirements, an improved concatenation-based model is designed in this paper, which is a concatenation of 5 different sub-models, including TextCNN, LSTM, and Bi-LSTM. Compared with the existing ensemble learning metho... | [
"Language Models",
"Semantic Text Processing",
"Text Classification",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
52,
72,
36,
24,
3
] |
SCOPUS_ID:85097582751 | A Chinese Textual Entailment Recognition Method Incorporating Semantic Role and Self-Attention | Recognizing textual entailment is intended to infer the logical relationship between two given sentences.In this paper, we incorporate the deep semantic information of sentences and the encoder of Transformer by constructing the SRL-Attention fusion module, and it effectively improves the ability of self-attention mech... | [
"Language Models",
"Reasoning",
"Semantic Text Processing",
"Textual Inference"
] | [
52,
8,
72,
22
] |
SCOPUS_ID:85060846058 | A Chinese Word Segmentation Model for Energy Literature Based on Conditional Random Fields | Chinese word segmentation is one of the foundation and core tasks for Chinese natural language processing. Although some achievements have been made for Chinese word segmentation system in general domains, it is far away to meet practical requirements in energy domain. We focus on Chinese word segmentation standard and... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
SCOPUS_ID:85096580641 | A Chinese corpus for fine-grained entity typing | Fine-grained entity typing is a challenging task with wide applications. However, most existing datasets for this task are in English. In this paper, we introduce a corpus for Chinese fine-grained entity typing that contains 4,800 mentions manually labeled through crowdsourcing. Each mention is annotated with free-form... | [
"Multilinguality",
"Named Entity Recognition",
"Cross-Lingual Transfer",
"Information Extraction & Text Mining"
] | [
0,
34,
19,
3
] |
SCOPUS_ID:85097393336 | A Chinese doctoral student's experience of L2 English academic writing in Australia: Negotiating practices and identities | Increasing numbers of international students are choosing to study abroad at English speaking universities, where their L2 English academic writing is assessed alongside local students’ L1 writing. Research has investigated the difficulties these student writers encounter, the deficits in their L2 academic writing prod... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85104657381 | A Chinese document parsing and code recognition system using Regex and SVM | We design a document parsing and code recognition system to promote the informatization and automation of work. Its key function is to obtain and analyze the content of the document, and then identify the equipment code in the document, thereby extracting the valuable information from the document. This allows the staf... | [
"Programming Languages in NLP",
"Text Classification",
"Multimodality",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
55,
36,
74,
24,
3
] |
SCOPUS_ID:84957030825 | A Chinese event argument inference approach based on entity semantics and event relevance | Currently, Chinese argument extraction mainly focuses on feature engineering, which cannot exploit inner relationships between event mentions in the same document. To address this issue, this paper learns the probabilities of entities fulfilling a specific role from the training set and the relationship among events to... | [
"Argument Mining",
"Reasoning"
] | [
60,
8
] |
SCOPUS_ID:84951736203 | A Chinese framework of semantic taxonomy and description: Preliminary experimental evaluation using web information extraction | The Chinese Framework of Semantic Taxonomy and Description (FSTD) is a linguistic resource that stores lexical and predicate argument semantics about events or states in Chinese text, developed with the application of knowledge acquisition from Chinese text in mind. In this paper we build a web information extraction s... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85039444569 | A Chinese handwriting word segmentation method via faster R-CNN | The segmentation of Chinese handwritten document image into individual words is an essential step for the character recognition. Conventional methods frequently use feature extraction and classification algorithm to segment. However, since the features of the words mostly depend on people, it is considered a difficult ... | [
"Text Segmentation",
"Syntactic Text Processing",
"Information Extraction & Text Mining"
] | [
21,
15,
3
] |
SCOPUS_ID:82155192186 | A Chinese intelligent question answering system based on domain ontology and sentence templates | With the development of network technology, distance education is becoming increasingly important. Intelligent question answering system is an important part of remote learning system. Currently, there have been a lot of mature English question answering systems. Owing to the Chinese natural language complexity and pro... | [
"Semantic Text Processing",
"Question Answering",
"Syntactic Text Processing",
"Knowledge Representation",
"Natural Language Interfaces",
"Text Segmentation"
] | [
72,
27,
15,
18,
11,
21
] |
SCOPUS_ID:33749408738 | A Chinese mobile phone input method based on the dynamic and self-study language model | This paper birefly introduces a Chinese digital input method named as CKCDIM (CKC Digital Input Method) and then applies it to the Symbian OS as an example, and it also proposes a framework of input method which adopted the Client/Server architecture for the handheld computers. To improve the performance of CKCDIM, thi... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85105392230 | A Chinese named entity recognition method combined with relative position information | Named entity recognition is one of the important tasks of natural language processing, which can help people to select entity information from massive text data. Researchers try to use different methods and improve the recognition effect from different perspectives, including machine learning and deep learning methods,... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:79959606210 | A Chinese online document clustering algorithm based on hidden sentiment vector | The core idea of clustering algorithm is the division of data into groups of similar objects. Some clustering algorithms are proven good performance on document clustering, such as k-means and UPGMA etc. However, few document clustering algorithms pay attention to the hidden sentiment which is a very important feature ... | [
"Information Extraction & Text Mining",
"Sentiment Analysis",
"Text Clustering"
] | [
3,
78,
29
] |
SCOPUS_ID:34047242845 | A Chinese person name recognition system based on agent-based HMM position tagging model | An Agent-based HMM Position Tagging (AHPT) model was proposed for Chinese person name recognition. The model unified unknown word identification and person name recognition as a single tagging task. Based on context pattern, special name table and position dependent information, the model could integrate both the inter... | [
"Tagging",
"Syntactic Text Processing"
] | [
63,
15
] |
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