id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
SCOPUS_ID:85146955533 | A Generative-Based Chatbot for Daily Conversation: A Preliminary Study | Currently AI has been integrated in our daily life. One of basic example of AI in our daily life is chatbot. The common chatbot that is developed is a rule-based chatbot. Rule-based chatbot have several drawbacks that is easy to predict, repetitive, an unnatural conversation might happened. In addition rule-based chatb... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
52,
11,
72,
38
] |
SCOPUS_ID:85147330066 | A Generator-based Method for Attacking Embedding-based Text Classifiers | This paper proposes a method to attack embedding-based text classifiers, namely GenEmC, to reduce the high computational cost of rule-based replacement. GenEmC includes three main steps including data preparation, embedding decoder training, and generator training. The embedding decoder is learned to convert embedding ... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Robustness in NLP",
"Representation Learning",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
52,
72,
24,
3,
58,
12,
36,
4
] |
https://aclanthology.org//W04-2210/ | A Generic Collaborative Platform for Multilingual Lexical Database Development | [
"Multilinguality"
] | [
0
] | |
SCOPUS_ID:85126572142 | A Generic Graph-Based Method for Flexible Aspect-Opinion Analysis of Complex Product Customer Feedback | Product design experts depend on online customer reviews as a source of insight to improve product design. Previous works used aspect-based sentiment analysis to extract insight from product reviews. However, their approaches for requirements elicitation are less flexible than traditional tools such as interviews and s... | [
"Opinion Mining",
"Multimodality",
"Structured Data in NLP",
"Sentiment Analysis"
] | [
49,
74,
50,
78
] |
SCOPUS_ID:85062076164 | A Generic OCR Using Deep Siamese Convolution Neural Networks | This paper presents a generic optical character recognition (OCR) system based on deep Siamese convolution neural networks (CNNs) and support vector machines (SVM). Supervised deep CNNs achieve high level of accuracy in classification tasks. However, fine-tuning a trained model for a new set of classes requires large a... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Text Classification",
"Multimodality"
] | [
20,
52,
72,
24,
3,
36,
74
] |
SCOPUS_ID:85086598935 | A Generic Solver Combining Unsupervised Learning and Representation Learning for Breaking Text-Based Captchas | Although there are many alternative captcha schemes available, text-based captchas are still one of the most popular security mechanism to maintain Internet security and prevent malicious attacks, due to the user preferences and ease of design. Over the past decade, different methods of breaking captchas have been prop... | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP",
"Semantic Text Processing",
"Representation Learning"
] | [
80,
4,
72,
12
] |
https://aclanthology.org//W97-0602/ | A Generic Template to evaluate integrated components in spoken dialogue systems | [
"Natural Language Interfaces",
"Multimodality",
"Speech & Audio in NLP",
"Dialogue Systems & Conversational Agents"
] | [
11,
74,
70,
38
] | |
SCOPUS_ID:85093359472 | A Generic approach for Pronominal Anaphora and Zero Anaphora resolution in Arabic language | This paper deals with the resolution of pronominal anaphora and zero anaphora in Arabic language. While researchers have treated the two phenomena separately, we propose a generic approach for both of them. Our resolution system combines a Q-learning reinforcement method and Word Embedding models. The Q-learning method... | [
"Semantic Text Processing",
"Semantic Similarity",
"Representation Learning",
"Coreference Resolution",
"Information Extraction & Text Mining"
] | [
72,
53,
12,
13,
3
] |
SCOPUS_ID:85060635433 | A Genetic Algorithm Based Approach for Data Fusion at Grammar Level | Multimodal interaction is a type of Human-Computer Interaction, which involves a combination of multifarious modalities to effectuate a task. Human-to-human interactions necessitate the use of all modalities such as speech, gestures, facial expressions and assorted media available for brainy communications. The single ... | [
"Text Error Correction",
"Syntactic Text Processing",
"Multimodality"
] | [
26,
15,
74
] |
SCOPUS_ID:85067455174 | A Genetic Algorithm Based Approach for Hindi Word Sense Disambiguation | Word Sense Disambiguation (WSD) is the procedure of selecting precise sense or meaning for a word in a given context. Word sense disambiguation goes about as an establishment to different AI applications as data mining, information recovery, and machine interpretation. The issue solicits to figure out which sense from ... | [
"Semantic Text Processing",
"Word Sense Disambiguation"
] | [
72,
65
] |
SCOPUS_ID:85080962797 | A Genetic Algorithm Based Approach for Word Sense Disambiguation Using Fuzzy WordNet Graphs | Due to the ever-evolving nature of human languages, the ambiguity in it needs to be dealt with by the researchers. Word sense disambiguation (WSD) is a classical problem of natural language processing which refers to identifying the most appropriate sense of a given word in the concerned context. WordNet graph based ap... | [
"Structured Data in NLP",
"Semantic Text Processing",
"Word Sense Disambiguation",
"Multimodality"
] | [
50,
72,
65,
74
] |
SCOPUS_ID:85127477443 | A Genetic-based Fusion Approach of Persian and Universal Phonetic Results for Spoken Language Identification | Automatic Spoken language identification (LID) refers to the automatic process of identifying languages spoken in the audio files. Pure acoustic approaches have shown great potential in LID. Since acoustic approaches have become more and more popular, phonetic information has been largely overlooked. In this paper, we ... | [
"Text Classification",
"Syntactic Text Processing",
"Phonetics",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
15,
64,
24,
3
] |
SCOPUS_ID:85125672569 | A Genre-Based Approach to Teaching Argument Writing | This chapter provides an authentic classroom example of a research-based approach that secondary ESOL/ELA teachers can apply to teach ELLs from diverse cultural, linguistic, and educational backgrounds to write an academic-style, authoritative argument. Using the teaching and learning cycle (TLC) of genre pedagogy, tea... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
http://arxiv.org/abs/2010.01345v1 | A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples | Generating adversarial examples for natural language is hard, as natural language consists of discrete symbols, and examples are often of variable lengths. In this paper, we propose a geometry-inspired attack for generating natural language adversarial examples. Our attack generates adversarial examples by iteratively ... | [
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
58,
4
] |
http://arxiv.org/abs/2004.03283v1 | A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events | Monitoring mobility- and industry-relevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific companies, transit routes and locations from heterogeneous, high-volume text streams remains a significant challenge. This work describes a c... | [
"Relation Extraction",
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
75,
34,
3
] |
SCOPUS_ID:85059918318 | A German corpus for fine-grained named entity recognition and relation extraction of traffic and industry events | Monitoring mobility- and industry-relevant events is important in areas such as personal travel planning and supply chain management, but extracting events pertaining to specific companies, transit routes and locations from heterogeneous, high-volume text streams remains a significant challenge. This work describes a c... | [
"Relation Extraction",
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
75,
34,
3
] |
http://arxiv.org/abs/2203.11849v1 | A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation | Recent advances in natural language processing have enabled powerful privacy-invasive authorship attribution. To counter authorship attribution, researchers have proposed a variety of rule-based and learning-based text obfuscation approaches. However, existing authorship obfuscation approaches do not consider the adver... | [
"Ethical NLP",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
17,
58,
4
] |
http://arxiv.org/abs/2005.00702v1 | A Girl Has A Name: Detecting Authorship Obfuscation | Authorship attribution aims to identify the author of a text based on the stylometric analysis. Authorship obfuscation, on the other hand, aims to protect against authorship attribution by modifying a text's style. In this paper, we evaluate the stealthiness of state-of-the-art authorship obfuscation methods under an a... | [
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
17,
4
] |
SCOPUS_ID:85111351604 | A Gist Information Guided Neural Network for Abstractive Summarization | Abstractive summarization aims to condense the given documents and generate fluent summaries with important information. It is challenging for selecting the salient information and maintaining the semantic consistency between documents and summaries. To tackle these problems, we propose a novel framework - Gist Informa... | [
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
30,
47,
3
] |
SCOPUS_ID:85115015425 | A Global Assessment of Climate Change Adaptation in Marine Protected Area Management Plans | Marine protected area (MPA) efficacy is increasingly challenged by climate change. Experts have identified clear climate change adaptation principles that MPA practitioners can incorporate into MPA management; however, adoption of these principles in MPA management remains largely unquantified. We conducted a text anal... | [
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
58,
4
] |
SCOPUS_ID:85110376349 | A Global Past-Future Early Exit Method for Accelerating Inference of Pre-trained Language Models | Early exit mechanism aims to accelerate the inference speed of large-scale pre-trained language models. The essential idea is to exit early without passing through all the inference layers at the inference stage. To make accurate predictions for downstream tasks, the hierarchical linguistic information embedded in all ... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85147548000 | A Global Pointer based Entity Relation Extraction Method for Chinese Pulmonary Nodule Medical Records | To facilitate research on pulmonary nodule medical records for physicians, this paper proposes an entity relation extraction model which bases on Global Pointer, using embedded pre-trained language model RoFormer as upstream encoder, Exponential Moving Average optimization method and Fast Gradient Method for adversaria... | [
"Relation Extraction",
"Information Extraction & Text Mining"
] | [
75,
3
] |
https://aclanthology.org//2022.seretod-1.2/ | A GlobalPointer based Robust Approach for Information Extraction from Dialog Transcripts | With the widespread popularisation of intelligent technology, task-based dialogue systems (TOD) are increasingly being applied to a wide variety of practical scenarios. As the key tasks in dialogue systems, named entity recognition and slot filling play a crucial role in the completeness and accuracy of information ext... | [
"Information Extraction & Text Mining",
"Robustness in NLP",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Responsible & Trustworthy NLP"
] | [
3,
58,
11,
38,
4
] |
http://arxiv.org/abs/2106.03376v1 | A Globally Normalized Neural Model for Semantic Parsing | In this paper, we propose a globally normalized model for context-free grammar (CFG)-based semantic parsing. Instead of predicting a probability, our model predicts a real-valued score at each step and does not suffer from the label bias problem. Experiments show that our approach outperforms locally normalized models ... | [
"Semantic Parsing",
"Semantic Text Processing"
] | [
40,
72
] |
SCOPUS_ID:85127519012 | A Global–Local Attentive Relation Detection Model for Knowledge-Based Question Answering | Knowledge-based question answering (KBQA) is an essential but challenging task for artificial intelligence and natural language processing. A key challenge pertains to the design of effective algorithms for relation detection. Conventional methods model questions and candidate relations separately through the knowledge... | [
"Natural Language Interfaces",
"Knowledge Representation",
"Semantic Text Processing",
"Question Answering"
] | [
11,
18,
72,
27
] |
SCOPUS_ID:85126014945 | A Glove CNN-Bilstm Sentiment Classification | Reviewing products online has become an increasingly popular way for consumers to voice their opinions and feelings about a product or service. Analyzing this Big data of online reviews would help to discern and extract useful facts and information that could provide a competitive and economic advantage to merchants an... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
12,
78,
36,
3
] |
https://aclanthology.org//W93-0205/ | A Goal-Based Grammar of Rhetoric | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] | |
https://aclanthology.org//2020.inlg-1.22/ | A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems | Most Natural Language Generation systems need to produce accurate texts. We propose a methodology for high-quality human evaluation of the accuracy of generated texts, which is intended to serve as a gold-standard for accuracy evaluations of data-to-text systems. We use our methodology to evaluate the accuracy of compu... | [
"Data-to-Text Generation",
"Text Generation"
] | [
16,
47
] |
https://aclanthology.org//W18-4601/ | A Gold Standard to Measure Relative Linguistic Complexity with a Grounded Language Learning Model | This paper focuses on linguistic complexity from a relative perspective. It presents a grounded language learning system that can be used to study linguistic complexity from a developmental point of view and introduces a tool for generating a gold standard in order to evaluate the performance of the learning system. In... | [
"Semantic Text Processing",
"Text Complexity"
] | [
72,
42
] |
SCOPUS_ID:85135878371 | A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs | Deciding upon instructor intervention based on learners’ comments that need an urgent response in MOOC environments is a known challenge. The best solutions proposed used automatic machine learning (ML) models to predict the urgency. These are ‘black-box’-es, with results opaque to humans. EXplainable artificial intell... | [
"Text Classification",
"Explainability & Interpretability in NLP",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
81,
4,
24,
3
] |
http://arxiv.org/abs/2110.08484v2 | A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models | Large pre-trained vision-language (VL) models can learn a new task with a handful of examples and generalize to a new task without fine-tuning. However, these VL models are hard to deploy for real-world applications due to their impractically huge sizes and slow inference speed. To solve this limitation, we study promp... | [
"Language Models",
"Low-Resource NLP",
"Visual Data in NLP",
"Semantic Text Processing",
"Multimodality",
"Responsible & Trustworthy NLP"
] | [
52,
80,
20,
72,
74,
4
] |
https://aclanthology.org//W19-8672/ | A Good Sample is Hard to Find: Noise Injection Sampling and Self-Training for Neural Language Generation Models | Deep neural networks (DNN) are quickly becoming the de facto standard modeling method for many natural language generation (NLG) tasks. In order for such models to truly be useful, they must be capable of correctly generating utterances for novel meaning representations (MRs) at test time. In practice, even sophisticat... | [
"Text Generation"
] | [
47
] |
SCOPUS_ID:85086457748 | A Google Trends spatial clustering approach for a worldwide Twitter user geolocation | User location data is valuable for diverse social media analytics. In this paper, we address the non-trivial task of estimating a worldwide city-level Twitter user location considering only historical tweets. We propose a purely unsupervised approach that is based on a synthetic geographic sampling of Google Trends (GT... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
SCOPUS_ID:85042129795 | A Gossamer Consensus: Discourses of Vulnerability in the Westminster Prostitution Policy Subsystem | Within much feminist scholarship, the concept of vulnerability is understood to possess progressive potential. Troubling Liberalism’s individualism, vulnerability theorists conceive of the subject as situated and formed through her various relational dependencies. Concurrently, the term vulnerability appears in much co... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
SCOPUS_ID:85129243588 | A Gradient Harmonic Grammar Account of Nasals in Extended Phonological Words | The article aims at contributing to the long-standing research on the prosodic organization of linguistic elements and the criteria used for identifying prosodic structures. Our focus is on final coronal nasals in function words in Greek and the variability in their patterns of realization before lexical words. Certain... | [
"Language Models",
"Semantic Text Processing",
"Phonology",
"Syntactic Text Processing",
"Representation Learning"
] | [
52,
72,
6,
15,
12
] |
SCOPUS_ID:85064845078 | A Gradually Distilled CNN for SAR Target Recognition | Convolutional neural networks (CNNs) have been widely used in synthetic aperture radar (SAR) target recognition. Traditional CNNs suffer from expensive computation and high memory consumption, impeding their deployment in real-time recognition systems of SAR sensors, as these systems have low memory resources and low s... | [
"Language Models",
"Responsible & Trustworthy NLP",
"Semantic Text Processing",
"Green & Sustainable NLP"
] | [
52,
4,
72,
68
] |
https://aclanthology.org//W11-2101/ | A Grain of Salt for the WMT Manual Evaluation | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] | |
SCOPUS_ID:85109190317 | A Grammar of Kunbarlang | This is a comprehensive linguistic description of Kunbarlang (Gunbalang), a highly endangered polysynthetic language of northern Australia. Kunbarlang belongs to the non-Pama-Nyungan Gunwinyguan language family and is currently spoken by nearly 40 people. This work draws on elicitations and analysis of narratives from ... | [
"Linguistic Theories",
"Syntactic Text Processing",
"Linguistics & Cognitive NLP",
"Typology",
"Multilinguality"
] | [
57,
15,
48,
45,
0
] |
SCOPUS_ID:84949989618 | A Grammar of Old English | First published in 1992, A Grammar of Old English, Volume 1: Phonology was a landmark publication that in the intervening years has not been surpassed in its depth of scholarship and usefulness to the field. With the 2011 posthumous publication of Richard M. Hogg's Volume 2: Morphology, Volume 1 is again in print, now ... | [
"Linguistics & Cognitive NLP",
"Phonology",
"Syntactic Text Processing",
"Linguistic Theories"
] | [
48,
6,
15,
57
] |
SCOPUS_ID:85107389152 | A Grammar-Aware Pointer Network for Abstractive Summarization | Pointer network (PN) has achieved breakthrough in recent years of text summarization research. But it only focuses on semantic relevance of the source sequence; in fact, the text should also comply with explicit grammar rules. The semantics and syntax are the two main granularities to research in this paper. In more de... | [
"Text Generation",
"Summarization",
"Syntactic Text Processing",
"Information Extraction & Text Mining"
] | [
47,
30,
15,
3
] |
SCOPUS_ID:85136076234 | A Grammar-Based Approach for Applying Visualization Taxonomies to Interaction Logs | Researchers collect large amounts of user interaction data with the goal of mapping user's workflows and behaviors to their high-level motivations, intuitions, and goals. Although the visual analytics community has proposed numerous taxonomies to facilitate this mapping process, no formal methods exist for systematical... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85135032670 | A Grammatical Error Correction Model for English Essay Words in Colleges Using Natural Language Processing | Natural language processing technology is a theory and approach for exploring and developing successful human-computer communication. With the rapid growth of computer science and technology, statistical learning methods have become an important research area in artificial intelligence and semantic search. If there are... | [
"Text Error Correction",
"Syntactic Text Processing"
] | [
26,
15
] |
SCOPUS_ID:85103603573 | A Granular Computing Approach to Provide Transparency of Intelligent Systems for Criminal Investigations | Criminal investigations involve repetitive information retrieval requests in high risk, high consequence, and time pressing situations. Artificial Intelligence (AI) systems can provide significant benefits to analysts, by sharing the burden of reasoning and speeding up information processing. However, for intelligent s... | [
"Natural Language Interfaces",
"Information Retrieval",
"Dialogue Systems & Conversational Agents"
] | [
11,
24,
38
] |
SCOPUS_ID:85111062512 | A Granular Computing-Driving Hesitant Fuzzy Linguistic Method for Supporting Large-Scale Group Decision Making | Considering the conditions that: 1) same linguistic term means different things for different people; 2) flexible semantics cannot be represented by original linguistic term; and 3) some semantics given by decision makers are possible to be changed during the consistency improving process, we bring some flexibility and... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
SCOPUS_ID:85084270545 | A Graph Attention Model for Dictionary-Guided Named Entity Recognition | The lack of human annotations has been one of the main obstacles for neural named entity recognition in low-resource domains. To address this problem, there have been many efforts on automatically generating silver annotations according to domain-specific dictionaries. However, the information of domain dictionaries is... | [
"Multimodality",
"Named Entity Recognition",
"Structured Data in NLP",
"Information Extraction & Text Mining"
] | [
74,
34,
50,
3
] |
SCOPUS_ID:85107380640 | A Graph Convolutional Network with Multiple Dependency Representations for Relation Extraction | Dependency analysis can assist neural networks to capture semantic features within a sentence for entity relation extraction (RE). Both hard and soft strategies of encoding dependency tree structure have been developed to balance the beneficial extra information against the unfavorable interference in the task of RE. A... | [
"Semantic Text Processing",
"Relation Extraction",
"Structured Data in NLP",
"Syntactic Text Processing",
"Representation Learning",
"Multimodality",
"Syntactic Parsing",
"Information Extraction & Text Mining"
] | [
72,
75,
50,
15,
12,
74,
28,
3
] |
http://arxiv.org/abs/2205.10822v1 | A Graph Enhanced BERT Model for Event Prediction | Predicting the subsequent event for an existing event context is an important but challenging task, as it requires understanding the underlying relationship between events. Previous methods propose to retrieve relational features from event graph to enhance the modeling of event correlation. However, the sparsity of ev... | [
"Language Models",
"Structured Data in NLP",
"Semantic Text Processing",
"Multimodality"
] | [
52,
50,
72,
74
] |
SCOPUS_ID:85081589654 | A Graph Grammar Approach to the Design and Validation of Floor Plans | Researchers have proposed many approaches to generate floor plans using shape grammars. None of them, however, testifies the semantic relations among rooms. This paper presents a generic approach for grammar specification, grammar induction, validation, and design generation of house floor plans using their path graphs... | [
"Text Error Correction",
"Structured Data in NLP",
"Syntactic Text Processing",
"Multimodality"
] | [
26,
50,
15,
74
] |
SCOPUS_ID:85135077584 | A Graph Neural Network-Based Approach for Predicting Second Rise of Information Diffusion on Social Networks | Recently, with the rise of social media, the research of information diffusion prediction has drawn much attention from scholars. The problem has important applications in public opinion monitoring, social advertising, etc. Through an in-depth diffusion analysis, we observed an interesting phenomenon where a piece of m... | [
"Multimodality",
"Structured Data in NLP",
"Semantic Text Processing",
"Representation Learning"
] | [
74,
50,
72,
12
] |
http://arxiv.org/abs/2012.11099v2 | A Graph Reasoning Network for Multi-turn Response Selection via Customized Pre-training | We investigate response selection for multi-turn conversation in retrieval-based chatbots. Existing studies pay more attention to the matching between utterances and responses by calculating the matching score based on learned features, leading to insufficient model reasoning ability. In this paper, we propose a graph-... | [
"Language Models",
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Graph Reasoning",
"Reasoning",
"Multimodality"
] | [
52,
72,
50,
54,
8,
74
] |
http://arxiv.org/abs/2010.06801v1 | A Graph Representation of Semi-structured Data for Web Question Answering | The abundant semi-structured data on the Web, such as HTML-based tables and lists, provide commercial search engines a rich information source for question answering (QA). Different from plain text passages in Web documents, Web tables and lists have inherent structures, which carry semantic correlations among various ... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Question Answering",
"Representation Learning",
"Natural Language Interfaces",
"Multimodality"
] | [
72,
50,
27,
12,
11,
74
] |
http://arxiv.org/abs/2101.00153v1 | A Graph Total Variation Regularized Softmax for Text Generation | The softmax operator is one of the most important functions in machine learning models. When applying neural networks to multi-category classification, the correlations among different categories are often ignored. For example, in text generation, a language model makes a choice of each new word based only on the forme... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Structured Data in NLP",
"Multimodality",
"Text Generation",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
50,
74,
47,
36,
3
] |
SCOPUS_ID:85089072760 | A Graph-Based Indexing Technique to Enhance the Performance of Boolean and Queries in Big Data Systems | This paper introduces a new graph-based indexing (GBI) technique for big data systems. It uses a directed graph structure that effectively captures the simultaneous occurrence of multiple keywords in the same document. The objective is to use the relationship between the search keywords captured in the graph structure ... | [
"Indexing",
"Structured Data in NLP",
"Information Retrieval",
"Multimodality"
] | [
69,
50,
24,
74
] |
SCOPUS_ID:85088571437 | A Graph-Based Keyphrase Extraction Model with Three-Way Decision | Keyphrase extraction has been a popular research topic in the field of natural language processing in recent years. But how to extract keyphrases precisely and effectively is still a challenge. The mainstream methods are supervised learning methods and graph-based methods. Generally, the effects of supervised methods a... | [
"Multimodality",
"Structured Data in NLP",
"Term Extraction",
"Information Extraction & Text Mining"
] | [
74,
50,
1,
3
] |
http://arxiv.org/abs/2109.12319v1 | A Graph-Based Neural Model for End-to-End Frame Semantic Parsing | Frame semantic parsing is a semantic analysis task based on FrameNet which has received great attention recently. The task usually involves three subtasks sequentially: (1) target identification, (2) frame classification and (3) semantic role labeling. The three subtasks are closely related while previous studies model... | [
"Semantic Parsing",
"Structured Data in NLP",
"Semantic Text Processing",
"Multimodality"
] | [
40,
50,
72,
74
] |
SCOPUS_ID:85075573577 | A Graph-Based Node Identification Model in Social Networks | An enormous amount of data is being generated in many social networking sites. Among them, Twitter is the most data generated platform, which includes commercial data, business data, events, and polls. Various tasks can be done with the generated data. One among them is finding the trending keyword in the huge data. To... | [
"Multimodality",
"Structured Data in NLP",
"Term Extraction",
"Information Extraction & Text Mining"
] | [
74,
50,
1,
3
] |
SCOPUS_ID:85112410598 | A Graph-Based Opinion Mining Approach for Reducing Information Loss and Overload in Product Reviews Analysis | Information overload is a real challenge that product designers face whiles trying to glean insight from online product reviews. Opinion summaries are limited in the richness of insight and text summarizations pose the risk of information loss for aspect based analysis. Although much effort has been spent yearly to adv... | [
"Information Extraction & Text Mining",
"Opinion Mining",
"Structured Data in NLP",
"Summarization",
"Aspect-based Sentiment Analysis",
"Sentiment Analysis",
"Text Generation",
"Multimodality"
] | [
3,
49,
50,
30,
23,
78,
47,
74
] |
https://aclanthology.org//W10-1204/ | A Graph-Based Semi-Supervised Learning for Question Semantic Labeling | [
"Low-Resource NLP",
"Semantic Text Processing",
"Structured Data in NLP",
"Semantic Search",
"Responsible & Trustworthy NLP",
"Information Retrieval",
"Multimodality"
] | [
80,
72,
50,
41,
4,
24,
74
] | |
http://arxiv.org/abs/2303.10395v1 | A Graph-Guided Reasoning Approach for Open-ended Commonsense Question Answering | Recently, end-to-end trained models for multiple-choice commonsense question answering (QA) have delivered promising results. However, such question-answering systems cannot be directly applied in real-world scenarios where answer candidates are not provided. Hence, a new benchmark challenge set for open-ended commonse... | [
"Commonsense Reasoning",
"Structured Data in NLP",
"Question Answering",
"Natural Language Interfaces",
"Reasoning",
"Information Retrieval",
"Multimodality"
] | [
62,
50,
27,
11,
8,
24,
74
] |
SCOPUS_ID:85029188969 | A Graph-based Approach of Automatic Keyphrase Extraction | Existing graph-based ranking techniques for keyphrase extraction only consider the connections between words in a document, ignoring the impact of the sentence. Motivated by the fact that a word must be important if it appears in many important sentences, we propose to take full advantage of the reinforcement between w... | [
"Multimodality",
"Structured Data in NLP",
"Term Extraction",
"Information Extraction & Text Mining"
] | [
74,
50,
1,
3
] |
http://arxiv.org/abs/1904.04697v2 | A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing | Chinese word segmentation and dependency parsing are two fundamental tasks for Chinese natural language processing. The dependency parsing is defined on word-level. Therefore word segmentation is the precondition of dependency parsing, which makes dependency parsing suffer from error propagation and unable to directly ... | [
"Language Models",
"Semantic Text Processing",
"Structured Data in NLP",
"Syntactic Text Processing",
"Syntactic Parsing",
"Text Segmentation",
"Multimodality"
] | [
52,
72,
50,
15,
28,
21,
74
] |
SCOPUS_ID:85140761769 | A Graph-based Topic Modeling Approach to Detection of Irrelevant Citations | In the recent years, the academic paper influence analysis has been widely studied due to its potential applications in the multiple areas of science information metric and retrieval. By identifying the academic influence of papers, authors, etc., we can directly support researchers to easily reach academic papers. The... | [
"Topic Modeling",
"Multimodality",
"Structured Data in NLP",
"Information Extraction & Text Mining"
] | [
9,
74,
50,
3
] |
SCOPUS_ID:85100357000 | A Graph-boosted Framework for Adverse Drug Event Detection on Twitter | Detecting adverse drug events from Twitter is expected to reveal unreported side effects, thereby complementing current spontaneous reporting systems. However, existing studies usually only use word embeddings as the input for deep learning models, which ignores the structural information of sentences. In addition, dee... | [
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Event Extraction",
"Multimodality"
] | [
3,
72,
50,
12,
31,
74
] |
http://arxiv.org/abs/2104.08443v1 | A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering | In recent years, conversational agents have provided a natural and convenient access to useful information in people's daily life, along with a broad and new research topic, conversational question answering (QA). Among the popular conversational QA tasks, conversational open-domain QA, which requires to retrieve relev... | [
"Structured Data in NLP",
"Question Answering",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Information Retrieval",
"Multimodality"
] | [
50,
27,
11,
38,
24,
74
] |
http://arxiv.org/abs/1805.02473v3 | A Graph-to-Sequence Model for AMR-to-Text Generation | The problem of AMR-to-text generation is to recover a text representing the same meaning as an input AMR graph. The current state-of-the-art method uses a sequence-to-sequence model, leveraging LSTM for encoding a linearized AMR structure. Although being able to model non-local semantic information, a sequence LSTM can... | [
"Language Models",
"Semantic Text Processing",
"Structured Data in NLP",
"Representation Learning",
"Text Generation",
"Multimodality"
] | [
52,
72,
50,
12,
47,
74
] |
SCOPUS_ID:85136090771 | A Graphical User Interface (GUI) Based Speech Recognition System Using Deep Learning Models | Presently, TSPI (Time Space Position Information)/Surveillance/Search and Track systems are more dependent on Artificial Intelligence technologies such as fingerprint, iris-based (eyes scanning), facial recognition-based, voice-based, etc. Such systems often demand remote operation which needs to be secure with authori... | [
"Text Generation",
"Speech Recognition",
"Speech & Audio in NLP",
"Multimodality"
] | [
47,
10,
70,
74
] |
SCOPUS_ID:85145007420 | A Gravitational Search Algorithm Study on Text Summarization Using NLP | Over the last decade, the amount of data available on the internet has grown exponentially. As a result, there is a need for a resolution that converts this massive atomic data into valuable information that a brain could comprehend arises. Text Summarization (TS) is the procedure of generating a synopsis of a particul... | [
"Text Generation",
"Summarization",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
47,
30,
24,
3
] |
SCOPUS_ID:85125230946 | A Green Pipeline for Out-of-Domain Public Sentiment Analysis | In the changing social and economic environment, organisations are keen to act promptly and appropriately to changes. Sentiment analysis can be applied to social media data to capture timely information of new events and the corresponding public opinions. However, currently both the social topics and trending words are... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85136196574 | A Green(er) World for A.I. | As research and practice in artificial intelligence (A.I.) grow in leaps and bounds, the resources necessary to sustain and support their operations also grow at an increasing pace. While innovations and applications from A.I. have brought significant advances, from applications to vision and natural language to improv... | [
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
4,
68
] |
SCOPUS_ID:85050942695 | A Grey Wolf Optimizer for Text Document Clustering | Text clustering problem (TCP) is a leading process in many key areas such as information retrieval, text mining, and natural language processing. This presents the need for a potent document clustering algorithm that can be used effectively to navigate, summarize, and arrange information to congregate large data sets. ... | [
"Information Extraction & Text Mining",
"Text Clustering"
] | [
3,
29
] |
SCOPUS_ID:34250369499 | A Gricean analysis of understanding in economic experiments | Understanding is an issue of crucial importance in economic experiments. Different ideas of how to achieve full understanding have resulted in disparate and contradictory recommendations on the correct methods for economic experiments. It is argued that a more systematic approach is necessary based on the linguistic th... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
http://arxiv.org/abs/1904.05426v1 | A Grounded Unsupervised Universal Part-of-Speech Tagger for Low-Resource Languages | Unsupervised part of speech (POS) tagging is often framed as a clustering problem, but practical taggers need to \textit{ground} their clusters as well. Grounding generally requires reference labeled data, a luxury a low-resource language might not have. In this work, we describe an approach for low-resource unsupervis... | [
"Low-Resource NLP",
"Information Extraction & Text Mining",
"Syntactic Text Processing",
"Text Clustering",
"Tagging",
"Responsible & Trustworthy NLP"
] | [
80,
3,
15,
29,
63,
4
] |
https://aclanthology.org//2021.nlp4posimpact-1.16/ | A Grounded Well-being Conversational Agent with Multiple Interaction Modes: Preliminary Results | Technologies for enhancing well-being, healthcare vigilance and monitoring are on the rise. However, despite patient interest, such technologies suffer from low adoption. One hypothesis for this limited adoption is loss of human interaction that is central to doctor-patient encounters. In this paper we seek to address ... | [
"Question Answering",
"Natural Language Interfaces",
"Ethical NLP",
"Dialogue Systems & Conversational Agents",
"Responsible & Trustworthy NLP"
] | [
27,
11,
17,
38,
4
] |
SCOPUS_ID:85127500944 | A Group-Centric Intelligence Recommendation System for Twitter | The group-centric recommendation system develops logical collective results from the information given by Twitter users. Even though different input data formats have been used to represent user preferences, the input information mode is static. To avoid this shortcoming, this paper proposes a system which enables clie... | [
"Sentiment Analysis"
] | [
78
] |
SCOPUS_ID:85129860195 | A Guided Topic-Noise Model for Short Texts | Researchers using social media data want to understand the discussions occurring in and about their respective fields. These domain experts often turn to topic models to help them see the entire landscape of the conversation, but unsupervised topic models often produce topic sets that miss topics experts expect or want... | [
"Low-Resource NLP",
"Topic Modeling",
"Information Extraction & Text Mining",
"Responsible & Trustworthy NLP"
] | [
80,
9,
3,
4
] |
SCOPUS_ID:85133652507 | A HISTORICAL TOURISM RECOMMENDATION SYSTEM FOR THE ELDERLY TOURIST USING NATURAL LANGUAGE PROCESSING AND THE ONTOLOGY TECHNIQUE | This paper presents a proposed methodology and framework of a recommendation system for elderly tourists which enables semantic inferencing by the inclusion of an ontology, together with natural language processing for analyzing user queries to increase the efficiency and accuracy of the recommendation system. Given th... | [
"Responsible & Trustworthy NLP",
"Knowledge Representation",
"Semantic Text Processing",
"Green & Sustainable NLP"
] | [
4,
18,
72,
68
] |
SCOPUS_ID:77950567405 | A HIT-based semantic search approach in unstructured P2P systems | An effective semantic search approach based on hierarchical interest tree (HIT) is proposed in unstructured P2P systems. Documents owned by a peer are classified into categories to build a HIT, which is sent to a super peer. Meanwhile, the inverted document index (IDI) of top n terms for each category is also sent to a... | [
"Semantic Search",
"Semantic Text Processing",
"Semantic Similarity",
"Information Retrieval"
] | [
41,
72,
53,
24
] |
SCOPUS_ID:80052658271 | A HMM and FSVMbased model to chinese named entity recognition | Chinese Named Entity Recognition, as a task of providing important semantic information, is a critical first step in information extraction and question answering systems. This paper proposes a hybrid method for NE recognition which combines HMM model and FSVM model. At the bottom level of the system, the person name a... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:11144337200 | A HTK-based system to recognise Arabic script | This paper presents a cursive Arabic script recognition system. The system decomposes the document image into text line images and divides each text line image into smaller overlapped frames. The system extracts a set of simple statistical features from each frame and then injects the sequence of the feature vectors to... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
SCOPUS_ID:85135379273 | A HUMAN FACTORS STUDY OF SPEECH-TO-TEXT TECHNOLOGY: CONSEQUENCES OF DISCRETE SPEECH | Three experiments are reported which aimed at analyzing the learnability of discrete speech as well as the joint influences of discrete speech, modality and location of input commands and speech velocity on performance (composing standardized business letters; reading short texts). Results reveal that discrete speech c... | [
"Text Generation",
"Speech & Audio in NLP",
"Speech Recognition",
"Multimodality"
] | [
47,
70,
10,
74
] |
SCOPUS_ID:85124628532 | A HYBRID CNN-BILSTM MODEL FOR DRUG NAMED ENTITY RECOGNITION | Named Entity Recognition (NER) has been proven to be successful and useful in many domains in extracting real-world entities. Under the medical domain, this study aims to extract drug name entities. To extract drug name entities, drug product, ingredient, and drug dose are used as categories to classify extracted entit... | [
"Language Models",
"Named Entity Recognition",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
52,
34,
72,
3
] |
SCOPUS_ID:85060633008 | A Haar Classifier Based Call Number Detection and Counting Method for Library Books Kütüphane Kitaplarinda Yer Numaralarini Bulmakve Saymakiç in HaarSiniflandirici Tabanlibir Yöntem | Counting and organization of books in libraries is a routine and time-consuming task. The task gets more complicated by misplaced books in shelves. In order to solve these problems, we propose an automated visual call number (book-id) detection and counting system in this paper. The method employs a Haar feature-based ... | [
"Visual Data in NLP",
"Text Classification",
"Multimodality",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
20,
36,
74,
24,
3
] |
http://arxiv.org/abs/1807.07149v1 | A Hand-Held Multimedia Translation and Interpretation System with Application to Diet Management | We propose a network independent, hand-held system to translate and disambiguate foreign restaurant menu items in real-time. The system is based on the use of a portable multimedia device, such as a smartphones or a PDA. An accurate and fast translation is obtained using a Machine Translation engine and a context-speci... | [
"Visual Data in NLP",
"Machine Translation",
"Explainability & Interpretability in NLP",
"Multimodality",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
20,
51,
81,
74,
47,
4,
0
] |
https://aclanthology.org//W09-3952/ | A Handsome Set of Metrics to Measure Utterance Classification Performance in Spoken Dialog Systems | [
"Text Classification",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
36,
11,
38,
24,
3
] | |
SCOPUS_ID:85128505639 | A Handwritten Chinese Characters Files Text Recognition Method Based on Inception Structure | Objectives: In order to solve the problem that the accuracy of handwritten Chinese character text recognition is not high, an end⁃to⁃end method for handwritten Chinese character text recognition based on convolutional neural network and recurrent neural network is proposed. Methods: Firstly, the convolutional neural ne... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85049991611 | A Hash-Based Approach for Document Retrieval by Utilizing Term Features | Digital data increase on servers with time which resulted in different researchers focusing on this field. Various issues are arising on the server such as data handling, security, maintenance, etc. In this paper, an approach for the document retrieval is proposed which efficiently fetches the document according to the... | [
"Document Retrieval",
"Information Retrieval"
] | [
56,
24
] |
SCOPUS_ID:85027234745 | A Health QA with Enhanced User Interfaces | Health related Question Answering (QA) systems have proven to be useful to patients. However, most of the QA systems focus on improving system performance against a standard set of questions, but neglect the problem of designing effective user interfaces. We build a health QA with enhanced user interface which includes... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
https://aclanthology.org//W09-0615/ | A Hearer-Oriented Evaluation of Referring Expression Generation | [
"Text Generation"
] | [
47
] | |
SCOPUS_ID:85027588189 | A Hebbian account of entrenchment and (over)-extension in language learning | In production, frequently used words are preferentially extended to new, though related meanings. In comprehension, frequent exposure to a word instead makes the learner confident that all of the word's legitimate uses have been experienced, resulting in an entrenched form-meaning mapping between the word and its exper... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85131968909 | A Hereditary Attentive Template-based Approach for Complex Knowledge Base Question Answering Systems | Knowledge Base Question Answering systems (KBQA) aim to find answers to natural language questions over a knowledge base. This work presents a template matching approach for Complex KBQA systems (C-KBQA) using the combination of Semantic Parsing and Neural Networks techniques to classify natural language questions into... | [
"Semantic Text Processing",
"Semantic Parsing",
"Question Answering",
"Natural Language Interfaces",
"Knowledge Representation"
] | [
72,
40,
27,
11,
18
] |
SCOPUS_ID:85131096151 | A Heretical Defence of the Unity of Form and Content | The received view in the debate on the form-content unity of poetry is that the possibility of paraphrase does not sit well with the unity conception. I will suggest a shift from paraphrase to translation, since the latter is substantially closer to the heart of the matter. I will heretically divert from the 'commonpla... | [
"Paraphrasing",
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
32,
51,
47,
0
] |
SCOPUS_ID:85132202347 | A Hesitant Fuzzy Linguistic TOPSIS Model to Support Supplier Segmentation | Objective: this study proposes a hesitant fuzzy linguistic TOPSIS model for supplier segmentation based on economic, environmental, and social criteria. Proposal: the model classifies suppliers in a segmentation matrix considering their capabilities and willingness to collaborate. It was implemented using Microsoft Exc... | [
"Text Segmentation",
"Syntactic Text Processing"
] | [
21,
15
] |
http://arxiv.org/abs/2107.00841v2 | A Heterogeneous Graph Attention Network for Multi-hop Machine Reading Comprehension | Multi-hop machine reading comprehension is a challenging task in natural language processing, which requires more reasoning ability across multiple documents. Spectral models based on graph convolutional networks grant inferring abilities and lead to competitive results. However, part of them still faces the challenge ... | [
"Multimodality",
"Reasoning",
"Structured Data in NLP",
"Machine Reading Comprehension"
] | [
74,
8,
50,
37
] |
http://arxiv.org/abs/2004.12057v1 | A Heterogeneous Graph with Factual, Temporal and Logical Knowledge for Question Answering Over Dynamic Contexts | We study question answering over a dynamic textual environment. Although neural network models achieve impressive accuracy via learning from input-output examples, they rarely leverage various types of knowledge and are generally not interpretable. In this work, we propose a graph-based approach, where a heterogeneous ... | [
"Natural Language Interfaces",
"Structured Data in NLP",
"Question Answering",
"Multimodality"
] | [
11,
50,
27,
74
] |
http://arxiv.org/abs/1912.07911v1 | A Heterogeneous Graphical Model to Understand User-Level Sentiments in Social Media | Social Media has seen a tremendous growth in the last decade and is continuing to grow at a rapid pace. With such adoption, it is increasingly becoming a rich source of data for opinion mining and sentiment analysis. The detection and analysis of sentiment in social media is thus a valuable topic and attracts a lot of ... | [
"Multimodality",
"Structured Data in NLP",
"Sentiment Analysis"
] | [
74,
50,
78
] |
SCOPUS_ID:85149714307 | A Heterogeneous Interaction Graph Network for Multi-Intent Spoken Language Understanding | As the core component of intelligent dialogue systems, spoken language understanding (SLU) usually includes two tasks: intent detection and slot filling. In real-world scenarios, users may express multiple intents in an utterance, and a token-level slot label can belong to multiple intents. Intent detection and slot fi... | [
"Semantic Text Processing",
"Semantic Parsing",
"Structured Data in NLP",
"Sentiment Analysis",
"Intent Recognition",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Multimodality"
] | [
72,
40,
50,
78,
79,
11,
38,
74
] |
SCOPUS_ID:85122474532 | A Heuristic Approach to Extract Knowledge from the Text Considering Explicit and Implicit Features Both | The important thing to extract knowledge from text data (comments, chat, blogs, news articles, etc.) is how to convert unstructured data into structured data sometime called metadata and further how to get implicit features from it. Implicit features are very important for semantic understanding of any sentence. Genera... | [
"Information Extraction & Text Mining",
"Structured Data in NLP",
"Indexing",
"Information Retrieval",
"Multimodality"
] | [
3,
50,
69,
24,
74
] |
SCOPUS_ID:85112701844 | A Heuristic Grafting Strategy for Manufacturing Knowledge Graph Extending and Completion Based on Nature Language Processing: KnowTree | Applied to search, question answering, and semantic web of close-or-open domain, knowledge graph (KG) is known for its incompleteness subject to the rapid knowledge growing pace. Inspired by the agricultural grafting technology to fruit variety, this paper proposes a heuristic knowledge grafting strategy (HGS) for manu... | [
"Language Models",
"Semantic Text Processing",
"Structured Data in NLP",
"Knowledge Representation",
"Multimodality"
] | [
52,
72,
50,
18,
74
] |
SCOPUS_ID:85104809919 | A Heuristic-Driven Ensemble Framework for COVID-19 Fake News Detection | The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world stay connected. With the COVID-19 pandemic raging, social media has become more relevant and widely used than ever before, and along with this, there has been a resurgence in... | [
"Reasoning",
"Fact & Claim Verification",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
8,
46,
17,
4
] |
http://arxiv.org/abs/2101.03545v1 | A Heuristic-driven Ensemble Framework for COVID-19 Fake News Detection | The significance of social media has increased manifold in the past few decades as it helps people from even the most remote corners of the world stay connected. With the COVID-19 pandemic raging, social media has become more relevant and widely used than ever before, and along with this, there has been a resurgence in... | [
"Reasoning",
"Fact & Claim Verification",
"Ethical NLP",
"Responsible & Trustworthy NLP"
] | [
8,
46,
17,
4
] |
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