id stringlengths 20 52 | title stringlengths 3 459 | abstract stringlengths 0 12.3k | classification_labels list | numerical_classification_labels list |
|---|---|---|---|---|
https://aclanthology.org//D19-5323/ | A Constituency Parsing Tree based Method for Relation Extraction from Abstracts of Scholarly Publications | We present a simple, rule-based method for extracting entity networks from the abstracts of scientific literature. By taking advantage of selected syntactic features of constituent parsing trees, our method automatically extracts and constructs graphs in which nodes represent text-based entities (in this case, noun phr... | [
"Knowledge Representation",
"Relation Extraction",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
18,
75,
72,
3
] |
SCOPUS_ID:0027643622 | A Constrained Approach to Multifont Chinese Character Recognition | Recognizing multifont, multiple-size Chinese characters was a difficult task in the area of optical character recognition (OCR). In this correspondence, we introduce the constraint graph as a general character representation framework. Each character class is described by a constraint graph model. Sampling points on a ... | [
"Visual Data in NLP",
"Structured Data in NLP",
"Multimodality"
] | [
20,
50,
74
] |
http://arxiv.org/abs/1704.02312v1 | A Constrained Sequence-to-Sequence Neural Model for Sentence Simplification | Sentence simplification reduces semantic complexity to benefit people with language impairments. Previous simplification studies on the sentence level and word level have achieved promising results but also meet great challenges. For sentence-level studies, sentences after simplification are fluent but sometimes are no... | [
"Language Models",
"Paraphrasing",
"Semantic Text Processing",
"Text Generation"
] | [
52,
32,
72,
47
] |
https://aclanthology.org//W02-2118/ | A Constraint-Based Approach for Cooperative Information-Seeking Dialogue | [
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents"
] | [
11,
47,
38
] | |
SCOPUS_ID:85129674017 | A Construction Method of Electric Power Professional Domain Corpus Based on Multi-model Collaboration | This paper proposes a method for constructing a corpus in the electric power field based on multi-method collaboration. Aiming at avoid the disadvantage of the excessive small granularity of the words segmentation results by Jieba word segmentation method which cause the incorrectly split of the words, TF-IDF method is... | [
"Information Extraction & Text Mining",
"Text Segmentation",
"Syntactic Text Processing",
"Text Clustering"
] | [
3,
21,
15,
29
] |
SCOPUS_ID:84958087550 | A Constructionist Approach to Category Change: Constraining Factors in the Adjectivization of Participles | It is generally accepted in usage-based theories of language that language change is facilitated by contexts of use that allow for semantically and/or structurally ambiguous readings of a construction. While this facilitative effect is well attested in the literature, much less attention has been paid to factors that c... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85057762007 | A Constructive Machine Translation System for English to Odia Translation | India is a country of many languages, diverse regional languages are spoken in different states of India but not all the Indians are the multilingual person. There are a total of 10 prominent scripts and 18 legitimate languages. Many Indians, rural people i.e. distant villagers to be exact, can neither write nor read a... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85067485841 | A Constructive Model for Sentiment Analysis of Speech using Deep Learning | Sentiment analysis is an engrossing and intriguing area of research because of its extensive significance in different domains. Assembling opinions of people about products, social and political events and problems through the Web is becoming progressively popular day by day. The views of users are helpful for the publ... | [
"Multimodality",
"Speech & Audio in NLP",
"Sentiment Analysis"
] | [
74,
70,
78
] |
SCOPUS_ID:85017128653 | A Constructive Solution to the Ranking Problem in Partial Order Optimality Theory | Partial order optimality theory (PoOT) (Anttila and Cho in Lingua 104:31–56, 1998) is a conservative generalization of classical optimality theory (COT) (Prince and Smolensky in Optimality theory: constraint interaction in generative grammar, Blackwell Publishers, Malden, 1993/2004) that makes possible the modeling of ... | [
"Linguistics & Cognitive NLP",
"Phonology",
"Syntactic Text Processing",
"Linguistic Theories"
] | [
48,
6,
15,
57
] |
https://aclanthology.org//W03-2714/ | A Constructive View of Discourse Operators | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85107783737 | A Contemporary Ensemble Aspect-based Opinion Mining Approach for Twitter Data | Aspect-based opinion mining is one among the thought-provoking research field which focuses on the extraction of vivacious aspects from opinionated texts and polarity value associated with these. The principal aim here is to identify user sentiments about specific features of a product or service rather than overall po... | [
"Opinion Mining",
"Syntactic Text Processing",
"Syntactic Parsing",
"Aspect-based Sentiment Analysis",
"Sentiment Analysis",
"Tagging",
"Information Extraction & Text Mining"
] | [
49,
15,
28,
23,
78,
63,
3
] |
SCOPUS_ID:85076522704 | A Content Analysis System That Supports Sentiment Analysis for Subjectivity and Polarity Detection in Online Courses | Given the current and increasing relevance of research aimed towards the optimization of teaching and learning experiences in online Education, a plethora of studies regarding the application of different technologies to this purpose have been developed. Specifically, Natural Language Processing (NLP) has been used to ... | [
"Polarity Analysis",
"Sentiment Analysis"
] | [
33,
78
] |
SCOPUS_ID:85073888825 | A Content-Aware Image Retargeting Quality Assessment Method Using Foreground and Global Measurement | Image retargeting methods aim to minimize the perceptual loss while changing sizes and aspect ratios of images. Since optimal retargeting methods for different images are generally not the same, the image retargeting quality assessment (IRQA) becomes a meaningful task. This paper proposes a content-aware image retarget... | [
"Visual Data in NLP",
"Semantic Text Processing",
"Semantic Similarity",
"Multimodality"
] | [
20,
72,
53,
74
] |
SCOPUS_ID:85084802992 | A Content-Based Multi Label Classification Model to Suggest Tags for Posts in Stack Overflow | This paper presents a prediction model to automatically suggests tags when developers make a post in the Stack Overflow social network. The proposed model fuses the content of a post (text and code snippets) to build a multimodal representation that is used to find which are the most suitable words to be used as tags. ... | [
"Semantic Text Processing",
"Text Classification",
"Representation Learning",
"Information Retrieval",
"Information Extraction & Text Mining"
] | [
72,
36,
12,
24,
3
] |
SCOPUS_ID:85101689888 | A Content-based intelligent label classification system for warehouse management | With the rapid development of the e-commerce business, smart warehouse management has become a critical part of the supply chain for maintaining an optimized cost in stock logistics. The managing of inventory may require substantial labors and expenses on the order fulfillment and the label classification. This paper p... | [
"Information Extraction & Text Mining",
"Green & Sustainable NLP",
"Text Classification",
"Information Retrieval",
"Responsible & Trustworthy NLP"
] | [
3,
68,
36,
24,
4
] |
http://arxiv.org/abs/2012.13339v1 | A Context Aware Approach for Generating Natural Language Attacks | We study an important task of attacking natural language processing models in a black box setting. We propose an attack strategy that crafts semantically similar adversarial examples on text classification and entailment tasks. Our proposed attack finds candidate words by considering the information of both the origina... | [
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
58,
4
] |
SCOPUS_ID:85063277153 | A Context Integrated Model for Multi-label Emotion Detection | This paper explores the impact of taking the environment within which a tweet is made, on the task of analyzing sentiment orientations of tweets produced by people in the same community. The paper proposes C-GRU (Context-aware Gated Recurrent Units), which extracts the contextual information (topics) from tweets and us... | [
"Emotion Analysis",
"Sentiment Analysis"
] | [
61,
78
] |
SCOPUS_ID:85078266100 | A Context based Coverage Model for Abstractive Document Summarization | Automatic abstractive summarization is one of natural language processing fields that generates a sequence of words representing important information of the input document. The sequence-to-sequence model, which is widely used in abstractive summarization, has a repetition problem in which the same sub-pattern is repea... | [
"Machine Translation",
"Information Extraction & Text Mining",
"Summarization",
"Text Generation",
"Multilinguality"
] | [
51,
3,
30,
47,
0
] |
SCOPUS_ID:85120572932 | A Context-Aware Approach for Extracting Hard and Soft Skills | The continuous growth in the online recruitment industry has made the candidate screening process costly, labour intensive, and time-consuming. Automating the screening process would expedite candidate selection. In recent times, recruiting is moving towards skill-based recruitment where candidates are ranked according... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
12,
36,
3
] |
http://arxiv.org/abs/2208.08029v1 | A Context-Aware Approach for Textual Adversarial Attack through Probability Difference Guided Beam Search | Textual adversarial attacks expose the vulnerabilities of text classifiers and can be used to improve their robustness. Existing context-aware methods solely consider the gold label probability and use the greedy search when searching an attack path, often limiting the attack efficiency. To tackle these issues, we prop... | [
"Language Models",
"Semantic Text Processing",
"Green & Sustainable NLP",
"Robustness in NLP",
"Responsible & Trustworthy NLP"
] | [
52,
72,
68,
58,
4
] |
SCOPUS_ID:84894165279 | A Context-Aware Approach to Entity Linking | Entity linking refers to the task of assigning mentions in documents to their corresponding knowledge base entities. Entity linking is a central step in knowledge base population. Current entity linking systems do not explicitly model the discourse context in which the communication occurs. Nevertheless, the notion of ... | [
"Knowledge Representation",
"Semantic Text Processing",
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
18,
72,
48,
57
] |
http://arxiv.org/abs/1903.06464v1 | A Context-Aware Citation Recommendation Model with BERT and Graph Convolutional Networks | With the tremendous growth in the number of scientific papers being published, searching for references while writing a scientific paper is a time-consuming process. A technique that could add a reference citation at the appropriate place in a sentence will be beneficial. In this perspective, context-aware citation rec... | [
"Language Models",
"Structured Data in NLP",
"Semantic Text Processing",
"Multimodality"
] | [
52,
50,
72,
74
] |
http://arxiv.org/abs/2109.01267v1 | A Context-Aware Hierarchical BERT Fusion Network for Multi-turn Dialog Act Detection | The success of interactive dialog systems is usually associated with the quality of the spoken language understanding (SLU) task, which mainly identifies the corresponding dialog acts and slot values in each turn. By treating utterances in isolation, most SLU systems often overlook the semantic context in which a dialo... | [
"Language Models",
"Natural Language Interfaces",
"Semantic Text Processing",
"Dialogue Systems & Conversational Agents"
] | [
52,
11,
72,
38
] |
SCOPUS_ID:85121918155 | A Context-Aware Model with Flow Mechanism for Conversational Question Answering | Conversational Question Answering (ConvQA) requires a deep understanding of conversation history to answer the current question. However, most existing works ignore the sequential dependencies among history turns and treat all history indiscriminately. We propose a Flow based Context-Aware Question Answering model to a... | [
"Natural Language Interfaces",
"Question Answering",
"Dialogue Systems & Conversational Agents"
] | [
11,
27,
38
] |
SCOPUS_ID:85072871959 | A Context-Aware Recommender Method Based on Text Mining | A recommender system is an information filtering technology that can be used to recommend items that may be of interest to users. In their traditional form, recommender systems do not consider information that might enrich the recommendation process, as contextual information. In this way, we have the context-aware rec... | [
"Representation Learning",
"Semantic Text Processing",
"Information Extraction & Text Mining"
] | [
12,
72,
3
] |
SCOPUS_ID:85030323430 | A Context-Aware Recurrent Encoder for Neural Machine Translation | Neural machine translation (NMT) heavily relies on its encoder to capture the underlying meaning of a source sentence so as to generate a faithful translation. However, most NMT encoders are built upon either unidirectional or bidirectional recurrent neural networks, which either do not deal with future context or simp... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
SCOPUS_ID:85091099882 | A Context-Based Disambiguation Model for Sentiment Concepts Using a Bag-of-Concepts Approach | With the widespread dissemination of user-generated content on different web sites, social networks, and online consumer systems such as Amazon, the quantity of opinionated information available on the Internet has been increased. Sentiment analysis of user-generated content is one of the main cognitive computing branc... | [
"Semantic Text Processing",
"Commonsense Reasoning",
"Representation Learning",
"Polarity Analysis",
"Sentiment Analysis",
"Reasoning"
] | [
72,
62,
12,
33,
78,
8
] |
http://arxiv.org/abs/2104.01697v1 | A Context-Dependent Gated Module for Incorporating Symbolic Semantics into Event Coreference Resolution | Event coreference resolution is an important research problem with many applications. Despite the recent remarkable success of pretrained language models, we argue that it is still highly beneficial to utilize symbolic features for the task. However, as the input for coreference resolution typically comes from upstream... | [
"Coreference Resolution",
"Information Extraction & Text Mining"
] | [
13,
3
] |
SCOPUS_ID:85124631360 | A Context-Fusion Method for Entity Extraction Based on Residual Gated Convolution Neural Network | Due to the convolutional receptive field size, the current word has a limited relevance to the context. It brings about a problem, that is, the semantics of the entity words in the whole sentence is under-considered. The Residual Gated Convolution Neural Network (RGCNN) uses dilated convolution and residual gated linea... | [
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
34,
3
] |
SCOPUS_ID:84929505730 | A Context-Sensitive Image Annotation Recommendation Engine for Radiology | In the typical radiology reading workflow, a radiologist would go through an imaging study and annotate specific regions of interest. The radiologist has the option to select a suitable description (e.g., 'calcification') from a list of predefined descriptions, or input the description directly as free-text. However, t... | [
"Visual Data in NLP",
"Multimodality"
] | [
20,
74
] |
http://arxiv.org/abs/1612.07411v2 | A Context-aware Attention Network for Interactive Question Answering | Neural network based sequence-to-sequence models in an encoder-decoder framework have been successfully applied to solve Question Answering (QA) problems, predicting answers from statements and questions. However, almost all previous models have failed to consider detailed context information and unknown states under w... | [
"Natural Language Interfaces",
"Question Answering"
] | [
11,
27
] |
https://aclanthology.org//W18-5020/ | A Context-aware Convolutional Natural Language Generation model for Dialogue Systems | Natural language generation (NLG) is an important component in spoken dialog systems (SDSs). A model for NLG involves sequence to sequence learning. State-of-the-art NLG models are built using recurrent neural network (RNN) based sequence to sequence models (Ondřej Dušek and Filip Jurčíček, 2016a). Convolutional sequen... | [
"Language Models",
"Semantic Text Processing",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents"
] | [
52,
72,
11,
47,
38
] |
http://arxiv.org/abs/1608.07076v1 | A Context-aware Natural Language Generator for Dialogue Systems | We present a novel natural language generation system for spoken dialogue systems capable of entraining (adapting) to users' way of speaking, providing contextually appropriate responses. The generator is based on recurrent neural networks and the sequence-to-sequence approach. It is fully trainable from data which inc... | [
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents"
] | [
11,
47,
38
] |
https://aclanthology.org//W05-1607/ | A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments | [
"Text Generation"
] | [
47
] | |
https://aclanthology.org//2000.iwpt-1.15/ | A Context-free Approximation of Head-driven Phrase Structure Grammar | We present a context-free approximation of unification-based grammars, such as HPSG or PATR-II. The theoretical underpinning is established through a least fixpoint construction over a certain monotonic function. In order to reach a finite fixpoint, the concrete implementation can be parameterized in several ways , eit... | [
"Syntactic Parsing",
"Syntactic Text Processing"
] | [
28,
15
] |
SCOPUS_ID:85145882963 | A Context-free Arabic Emoji Sentiment Lexicon (CF-Arab-ESL) | Emoji can be valuable features in textual sentiment analysis. One of the key elements of the use of emoji in sentiment analysis is the emoji sentiment lexicon. However, constructing such a lexicon is a challenging task. This is because interpreting the sentiment conveyed by these pictographic symbols is highly subjecti... | [
"Visual Data in NLP",
"Multimodality",
"Sentiment Analysis"
] | [
20,
74,
78
] |
SCOPUS_ID:85107384044 | A Contextual Model for Information Extraction in Resume Analytics Using NLP’s Spacy | The unstructured document like resume will have different file formats (pdf, txt, doc, etc.), and also, there is a lot of ambiguity and variability in the language used in the resume. Such heterogeneity makes the extraction of useful information a challenging task. It gives rise to the urgent need for understanding the... | [
"Information Extraction & Text Mining"
] | [
3
] |
SCOPUS_ID:85133742619 | A Contextual Relationship Model for Deceptive Opinion Spam Detection | The promotion of e-commerce platforms has changed the lifestyle of several people from traditional marketing to digital marketing where businesses are made online and the concurrence reached high levels. These platforms have helped the ease of purchases while providing more advantages to the customers such as benefitin... | [
"Semantic Text Processing",
"Representation Learning"
] | [
72,
12
] |
SCOPUS_ID:85139704017 | A Contextual Theory of Language | Writing That Counts InJune 1989 the Canadian Wildlife Federation (CWF) met for their annual meeting in Halifax, Nova Scotia. On the last day of the meetings their program focused on innovative fIsheries management, an important theme for an organisation concerned with promoting the sustained harvest of renewable resour... | [
"Linguistics & Cognitive NLP",
"Linguistic Theories"
] | [
48,
57
] |
SCOPUS_ID:85140918614 | A Continual Relation Extraction Approach for Knowledge Graph Completeness | Representing unstructured data in a structured form is most significant for information system management to analyze and interpret it. To do this, the unstructured data might be converted into Knowledge Graphs, by leveraging an information extraction pipeline whose main tasks are named entity recognition and relation e... | [
"Semantic Text Processing",
"Relation Extraction",
"Structured Data in NLP",
"Knowledge Representation",
"Multimodality",
"Information Extraction & Text Mining"
] | [
72,
75,
50,
18,
74,
3
] |
https://aclanthology.org//2020.dmr-1.1/ | A Continuation Semantics for Abstract Meaning Representation | Abstract Meaning Representation (AMR) is a simple, expressive semantic framework whose emphasis on predicate-argument structure is effective for many tasks. Nevertheless, AMR lacks a systematic treatment of projection phenomena, making its translation into logical form problematic. We present a translation function fro... | [
"Machine Translation",
"Semantic Text Processing",
"Representation Learning",
"Knowledge Representation",
"Text Generation",
"Multilinguality"
] | [
51,
72,
12,
18,
47,
0
] |
https://aclanthology.org//W19-6804/ | A Continuous Improvement Framework of Machine Translation for Shipibo-Konibo | [
"Low-Resource NLP",
"Machine Translation",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
80,
51,
47,
4,
0
] | |
http://arxiv.org/abs/2001.05315v1 | A Continuous Space Neural Language Model for Bengali Language | Language models are generally employed to estimate the probability distribution of various linguistic units, making them one of the fundamental parts of natural language processing. Applications of language models include a wide spectrum of tasks such as text summarization, translation and classification. For a low res... | [
"Language Models",
"Semantic Text Processing"
] | [
52,
72
] |
SCOPUS_ID:85097643141 | A Continuous Word Segmentation of Bengali Noisy Speech | Human voice is an important concern of efficient and modern communication in the era of Alexa, Siri, or Google Assistance. Working with voice or speech is going to be easy by preprocessing the unwanted entities when real speech data contains a lot of noise or continuous delivery of a speech. Working with Bangla languag... | [
"Green & Sustainable NLP",
"Speech & Audio in NLP",
"Syntactic Text Processing",
"Multimodality",
"Text Segmentation",
"Responsible & Trustworthy NLP"
] | [
68,
70,
15,
74,
21,
4
] |
http://arxiv.org/abs/1708.00391v1 | A Continuously Growing Dataset of Sentential Paraphrases | A major challenge in paraphrase research is the lack of parallel corpora. In this paper, we present a new method to collect large-scale sentential paraphrases from Twitter by linking tweets through shared URLs. The main advantage of our method is its simplicity, as it gets rid of the classifier or human in the loop nee... | [
"Paraphrasing",
"Text Generation"
] | [
32,
47
] |
https://aclanthology.org//2022.blackboxnlp-1.36/ | A Continuum of Generation Tasks for Investigating Length Bias and Degenerate Repetition | Language models suffer from various degenerate behaviors. These differ between tasks: machine translation (MT) exhibits length bias, while tasks like story generation exhibit excessive repetition. Recent work has attributed the difference to task constrainedness, but evidence for this claim has always involved many con... | [
"Machine Translation",
"Explainability & Interpretability in NLP",
"Text Generation",
"Responsible & Trustworthy NLP",
"Multilinguality"
] | [
51,
81,
47,
4,
0
] |
http://arxiv.org/abs/2204.07832v2 | A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis | Aspect-based sentiment analysis (ABSA) is a fine-grained sentiment analysis task, which focuses on detecting the sentiment polarity towards the aspect in a sentence. However, it is always sensitive to the multi-aspect challenge, where features of multiple aspects in a sentence will affect each other. To mitigate this i... | [
"Low-Resource NLP",
"Responsible & Trustworthy NLP",
"Aspect-based Sentiment Analysis",
"Sentiment Analysis"
] | [
80,
4,
23,
78
] |
http://arxiv.org/abs/2202.06417v3 | A Contrastive Framework for Neural Text Generation | Text generation is of great importance to many natural language processing applications. However, maximization-based decoding methods (e.g. beam search) of neural language models often lead to degenerate solutions -- the generated text is unnatural and contains undesirable repetitions. Existing approaches introduce sto... | [
"Text Generation"
] | [
47
] |
SCOPUS_ID:85148363403 | A Contrastive Learning Framework with Tree-LSTMs for Aspect-Based Sentiment Analysis | Different from sentence-level sentiment analysis, the aspect-based sentiment analysis (ABSA) is a fine-grained task that aims to identify the sentiment polarity towards specific aspect terms in a sentence. However, the lack of fine-grained labeled data and the fact that a sentence may contain multiple aspects or comple... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Representation Learning",
"Aspect-based Sentiment Analysis",
"Sentiment Analysis"
] | [
52,
72,
15,
12,
23,
78
] |
SCOPUS_ID:85127254876 | A Contrastive Study on Linguistic Features between HT and MT based on NLPIR-ICTCLAS: A Case Study of Philosophical Text | This paper, with the aid of NLPIR-ICTCLAS, analyzes and compares original English texts and different translation versions of a philosophical text. A 1:6 English-Chinese translation corpus is applied to study the linguistic structural features of human translation (HT) and machine translation (MT). This study shows tha... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
SCOPUS_ID:85081996078 | A Control Unit for Emotional Conversation Generation | Emotional conversation generation model predicts the response according to the current words and the emotional words. However, the researchers only dedicated to adding more emotional words in the conversation generation model to retain the taste of chat users without considering whether the emotion of a response is sui... | [
"Dialogue Response Generation",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents"
] | [
14,
11,
47,
38
] |
http://arxiv.org/abs/2005.00613v2 | A Controllable Model of Grounded Response Generation | Current end-to-end neural conversation models inherently lack the flexibility to impose semantic control in the response generation process, often resulting in uninteresting responses. Attempts to boost informativeness alone come at the expense of factual accuracy, as attested by pretrained language models' propensity ... | [
"Dialogue Response Generation",
"Text Generation"
] | [
14,
47
] |
SCOPUS_ID:85102635320 | A Controllable Text Simplification System for the Italian Language | Text simplification is a non-trivial task that aims at reducing the linguistic complexity of written texts. Researchers have studied the problem by proposing new methodologies for addressing the English language, but other languages, like the Italian one, are almost unexplored. In this paper, we give a contribution to ... | [
"Paraphrasing",
"Text Generation"
] | [
32,
47
] |
SCOPUS_ID:85102629758 | A ConvBiLSTM Deep Learning Model-Based Approach for Twitter Sentiment Classification | Being one of the most widely used social media tools, Twitter is seen as an important source of information for acquiring people's attitudes, emotions, views and feedbacks. Within this context, Twitter sentiment analysis techniques were developed to decide whether textual tweets express a positive or negative opinion. ... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
12,
78,
36,
3
] |
SCOPUS_ID:85131805277 | A Convenient and Efficient Scene Shop Recognition Assistant Tool for the Visually Impaired | Obtaining information about outdoor scenes has always been a great difficulty for visually impaired people. One of the urgent needs is to obtain the name of all the stores in the scenes where the visually impaired people are when they want to go shopping in an unfamiliar environment without asking others. However, ther... | [
"Visual Data in NLP",
"Multimodality",
"Responsible & Trustworthy NLP",
"Green & Sustainable NLP"
] | [
20,
74,
4,
68
] |
SCOPUS_ID:85091277172 | A Conversation Analysis of Non-Progress and Coping Strategies with a Banking Task-Oriented Chatbot | Task-oriented chatbots are becoming popular alternatives for fulfilling users' needs, but few studies have investigated how users cope with conversational 'non-progress' (NP) in their daily lives. Accordingly, we analyzed a three-month conversation log between 1,685 users and a task-oriented banking chatbot. In this da... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85069655439 | A Conversation-Based Intelligent Tutoring System Benefits Adult Readers with Low Literacy Skills | This article introduces three distinctive features of a conversation-based intelligent tutoring system called AutoTutor. AutoTutor was designed to teach low literacy adult learners comprehension strategies across different levels of discourse processing. In AutoTutor, three-way conversations take place between two comp... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85099223537 | A Conversational Agent Framework with Multi-modal Personality Expression | Consistently exhibited personalities are crucial elements of realistic, engaging, and behavior-rich conversational virtual agents. Both nonverbal and verbal cues help convey these agents' unseen psychological states, contributing to our effective communication with them. We introduce a comprehensive framework to design... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Multimodality"
] | [
11,
38,
74
] |
http://arxiv.org/abs/2104.01543v2 | A Conversational Agent System for Dietary Supplements Use | Dietary supplements (DS) have been widely used by consumers, but the information around the efficacy and safety of DS is disparate or incomplete, thus creating barriers for consumers to find information effectively. Conversational agent (CA) systems have been applied to the healthcare domain, but there is no such a sys... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85139061558 | A Conversational Agent for Argument-driven E-participation | The majority of current e-participation tools are based on online web forums where citizens make proposals and provide comments and opinions, forming large conversation threads. Motivated by the huge popularity of instant messaging applications and the impressive, recent advances in natural language processing and arti... | [
"Natural Language Interfaces",
"Argument Mining",
"Reasoning",
"Dialogue Systems & Conversational Agents"
] | [
11,
60,
8,
38
] |
SCOPUS_ID:85132254902 | A Conversational Agent for Creating Flexible Daily Automation | The spread of sensors and intelligent devices of the Internet of Things and their integration in daily environments are changing the way we interact with some of the most common objects in everyday life. Therefore, there is an evident need to provide non-expert users with the ability to customize in a simple but effect... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85103739785 | A Conversational Agent for Database Query: A Use Case for Thai People Map and Analytics Platform | Since 2018, Thai People Map and Analytics Platform (TPMAP) has been developed with the aims of supporting government officials and policy makers with integrated household and community data to analyze strategic plans, implement policies and decisions to alleviate poverty. However, to acquire complex information from th... | [
"Natural Language Interfaces",
"Information Retrieval",
"Dialogue Systems & Conversational Agents"
] | [
11,
24,
38
] |
SCOPUS_ID:85130246743 | A Conversational Agent for Promoting Physical Activity Among COPD Patients | Chronic Obstructive Pulmonary Disease (COPD) is one of the most prevalent diseases in the world, affecting respiratory performance of many people, limiting the airflow and is not fully reversible. It is a clinical syndrome characterized by chronic respiratory symptoms, structural pulmonary abnormalities or impairment o... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85139070008 | A Conversational Agent for Medical Disclosure of Sexually Transmitted Infections | Sexually transmitted infections (STIs) are serious health problems worldwide, increasing the risk of infection by Human Immunodeficiency Virus (HIV)/Acquired Immune Deficiency Syndrome (AIDS). Despite the significant efforts to address the pandemic, especially with sex education programs, STI and HIV remain a significa... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85077798537 | A Conversational Agent in Support of Productivity and Wellbeing at Work | Conversational agents have the potential to support users in many tasks. However, support for productivity and well-being in the workplace has received little attention. We present the first design of a conversational system that supports information workers with multiple work-related goals, informed by a survey of the... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85119405756 | A Conversational Agent to Support Hospital Bed Allocation | Bed allocation in hospitals is a critical and important problem, and it has become even more important since last year because of the COVID-19 pandemic. In this paper, we present an approach based on intelligent-agent technologies to assist hospital staff in charge of bed allocation. As part of this work, we developed ... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85130514745 | A Conversational Approach for Modifying Service Mashups in IoT Environments | Existing conversational approaches for Internet of Things (IoT) service mashup do not support modification because of the usability challenge, although it is common for users to modify the service mashups in IoT environments. To support the modification of IoT service mashups through conversational interfaces in a usab... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85096528018 | A Conversational Assistant on Mobile Devices for Primitive Learners of Computer Programming | According to eMarketer's survey, the penetration rate of smart phone in Taiwan is one of the top 5 countries in the world, around 77.6% of her population in 2018. Especially among youths, almost everyone has a smartphone. They use mobile devices ubiquitously and it causes problems regarding learning in classroom. Inste... | [
"Natural Language Interfaces",
"Programming Languages in NLP",
"Multimodality",
"Dialogue Systems & Conversational Agents"
] | [
11,
55,
74,
38
] |
SCOPUS_ID:85091340655 | A Conversational Digital Assistant for Intelligent Process Automation | Robotic process automation (RPA) has emerged as the leading approach to automate tasks in business processes. Moving away from back-end automation, RPA automated the mouse-click on user interfaces; this outside-in approach reduced the overhead of updating legacy software. However, its many shortcomings, namely its lack... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85127198576 | A Conversational Framework for Semantic Question Answering in Customer Services with Machine Learning on Knowledge Graph | Despite the recent advances in Natural Language Processing (NLP) techniques many issues and inefficiencies arise when it comes to creating a system capable of interacting with the users by means of text conversations. The current techniques rely on the development of chatbots that, however, require designing the conver... | [
"Semantic Text Processing",
"Structured Data in NLP",
"Question Answering",
"Knowledge Representation",
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents",
"Multimodality"
] | [
72,
50,
27,
18,
11,
38,
74
] |
SCOPUS_ID:85054217342 | A Conversational Neural Language Model for Speech Recognition in Digital Assistants | Speech recognition in digital assistants such as Google Assistant can potentially benefit from the use of conversational context consisting of user queries and responses from the agent. We explore the use of recurrent, Long Short-Term Memory (LSTM), neural language models (LMs) to model the conversations in a digital a... | [
"Language Models",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Natural Language Interfaces",
"Text Generation",
"Dialogue Systems & Conversational Agents",
"Speech Recognition",
"Multimodality"
] | [
52,
72,
70,
11,
47,
38,
10,
74
] |
SCOPUS_ID:85147250090 | A Conversational Recommendation System Has Better Usability? a Case-Study of TravelMate | TravelMate is an integrated recommendation system to recommend proper tours or travel companions for travelers. Recommendation systems are varied based on different filtering methodologies. Content-based filtering is a good idea for some users who know what to find. However, for users still thinking about the requireme... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85047221019 | A Conversational User Interface for Software Visualization | Software visualizations provide many different complex views with different filters and metrics. But often users have a specific question to which they want to have an answer or they need to find the best visualization by themselves and are not aware of other metrics and possibilities of the visualization tool. We prop... | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] |
SCOPUS_ID:85128857803 | A Convolution Neural Network-Based Representative Spatio-Temporal Documents Classification for Big Text Data | With the proliferation of mobile devices, the amount of social media users and online news articles are rapidly increasing, and text information online is accumulating as big data. As spatio-temporal information becomes more important, research on extracting spatiotemporal information from online text data and utilizin... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85101357587 | A Convolution-Self Attention Abstractive Summarization Method Fusing Sequential Grammar Knowledge | Abstractive summarization is to analyze the core ideas of the document, rephrase or use new words to generate a summary that can summarize the whole document. However, the encoder-decoder model can not fully extract the syntax, that cause the summary not to match the grammar rules. The recurrent neural network is easy ... | [
"Language Models",
"Semantic Text Processing",
"Syntactic Text Processing",
"Summarization",
"Text Generation",
"Information Extraction & Text Mining"
] | [
52,
72,
15,
30,
47,
3
] |
http://arxiv.org/abs/1602.03001v2 | A Convolutional Attention Network for Extreme Summarization of Source Code | Attention mechanisms in neural networks have proved useful for problems in which the input and output do not have fixed dimension. Often there exist features that are locally translation invariant and would be valuable for directing the model's attention, but previous attentional architectures are not constructed to le... | [
"Programming Languages in NLP",
"Information Extraction & Text Mining",
"Summarization",
"Text Generation",
"Multimodality"
] | [
55,
3,
30,
47,
74
] |
http://arxiv.org/abs/2006.02547v2 | A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning | Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech. LVMs admit an intuitive probabilistic interpretation where the latent structure shapes the information extracted from the signal. Even though LVMs have recently s... | [
"Low-Resource NLP",
"Semantic Text Processing",
"Speech & Audio in NLP",
"Representation Learning",
"Responsible & Trustworthy NLP",
"Multimodality"
] | [
80,
72,
70,
12,
4,
74
] |
http://arxiv.org/abs/1611.02344v3 | A Convolutional Encoder Model for Neural Machine Translation | The prevalent approach to neural machine translation relies on bi-directional LSTMs to encode the source sentence. In this paper we present a faster and simpler architecture based on a succession of convolutional layers. This allows to encode the entire source sentence simultaneously compared to recurrent networks for ... | [
"Language Models",
"Machine Translation",
"Semantic Text Processing",
"Text Generation",
"Multilinguality"
] | [
52,
51,
72,
47,
0
] |
http://arxiv.org/abs/2111.06625v1 | A Convolutional Neural Network Based Approach to Recognize Bangla Spoken Digits from Speech Signal | Speech recognition is a technique that converts human speech signals into text or words or in any form that can be easily understood by computers or other machines. There have been a few studies on Bangla digit recognition systems, the majority of which used small datasets with few variations in genders, ages, dialects... | [
"Responsible & Trustworthy NLP",
"Multimodality",
"Speech & Audio in NLP",
"Green & Sustainable NLP"
] | [
4,
74,
70,
68
] |
SCOPUS_ID:85053541812 | A Convolutional Neural Network Model for Emotion Detection from Tweets | Sentiment analysis and emotion recognition are major indicators of society trends toward certain topics. Analyzing opinions and feelings helps improving the human-computer interaction in several fields ranging from opinion mining to psychological concerns. This paper proposes a deep learning model for emotion detection... | [
"Semantic Text Processing",
"Information Retrieval",
"Representation Learning",
"Sentiment Analysis",
"Emotion Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
72,
24,
12,
78,
61,
36,
3
] |
http://arxiv.org/abs/1807.01704v1 | A Convolutional Neural Network for Aspect Sentiment Classification | With the development of the Internet, natural language processing (NLP), in which sentiment analysis is an important task, became vital in information processing.Sentiment analysis includes aspect sentiment classification. Aspect sentiment can provide complete and in-depth results with increased attention on aspect-lev... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Polarity Analysis",
"Aspect-based Sentiment Analysis",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
33,
23,
78,
36,
3
] |
http://arxiv.org/abs/1904.00805v1 | A Convolutional Neural Network for Language-Agnostic Source Code Summarization | Descriptive comments play a crucial role in the software engineering process. They decrease development time, enable better bug detection, and facilitate the reuse of previously written code. However, comments are commonly the last of a software developer's priorities and are thus either insufficient or missing entirel... | [
"Language Models",
"Programming Languages in NLP",
"Semantic Text Processing",
"Summarization",
"Multimodality",
"Text Generation",
"Code Generation",
"Information Extraction & Text Mining"
] | [
52,
55,
72,
30,
74,
47,
44,
3
] |
SCOPUS_ID:85091984116 | A Convolutional Neural Network with Word-level Attention for Text Classification | Text classification is a classic task in the NLP area which aims to predict the categories for given texts. Many neural network models are applied to this task with the development of the neural network technology. One of the typical neural network structures on the task is the convolutional neural network (CNN). Howev... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
SCOPUS_ID:85118261543 | A Convolutional Stacked Bidirectional LSTM with a Multiplicative Attention Mechanism for Aspect Category and Sentiment Detection | Traditionally, sentiment analysis is a binary classification task that aims to categorize a piece of text as positive or negative. This approach, however, can be too simplistic when the text under scrutiny contains more than one opinion target. Hence, aspect-based sentiment analysis provides fine-grained sentiment unde... | [
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Aspect-based Sentiment Analysis",
"Sentiment Analysis",
"Text Classification",
"Information Extraction & Text Mining"
] | [
52,
72,
24,
23,
78,
36,
3
] |
SCOPUS_ID:85084111546 | A Cooperative Binary-Clustering Framework Based on Majority Voting for Twitter Sentiment Analysis | Twitter sentiment analysis is a challenging problem in natural language processing. For this purpose, supervised learning techniques have mostly been employed, which require labeled data for training. However, it is very time consuming to label datasets of large size. To address this issue, unsupervised learning techni... | [
"Information Extraction & Text Mining",
"Information Retrieval",
"Green & Sustainable NLP",
"Sentiment Analysis",
"Text Clustering",
"Text Classification",
"Responsible & Trustworthy NLP"
] | [
3,
24,
68,
78,
29,
36,
4
] |
http://arxiv.org/abs/2102.08322v1 | A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles | There is increasing interest in developing personalized Task-oriented Dialogue Systems (TDSs). Previous work on personalized TDSs often assumes that complete user profiles are available for most or even all users. This is unrealistic because (1) not everyone is willing to expose their profiles due to privacy concerns; ... | [
"Responsible & Trustworthy NLP",
"Natural Language Interfaces",
"Robustness in NLP",
"Dialogue Systems & Conversational Agents"
] | [
4,
11,
58,
38
] |
http://arxiv.org/abs/2211.10271v1 | A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine Translation | Neural Machine Translation (NMT) models from English to SPARQL are a promising development for SPARQL query generation. However, current architectures are unable to integrate the knowledge base (KB) schema and handle questions on knowledge resources, classes, and properties unseen during training, rendering them unusab... | [
"Machine Translation",
"Semantic Text Processing",
"Knowledge Representation",
"Text Generation",
"Multilinguality"
] | [
51,
72,
18,
47,
0
] |
SCOPUS_ID:85126275378 | A Corpus Approach to Roman Law Based on Justinian’s Digest | Traditional philological methods in Roman legal scholarship such as close reading and strict juristic reasoning have analysed law in extraordinary detail. Such methods, however, have paid less attention to the empirical characteristics of legal texts and occasionally projected an abstract framework onto the sources. Th... | [
"Representation Learning",
"Information Extraction & Text Mining",
"Semantic Text Processing",
"Text Clustering"
] | [
12,
3,
72,
29
] |
SCOPUS_ID:85062859647 | A Corpus Based N-gram Hybrid Approach of Bengali to English Machine Translation | Machine translation means automatic translation which is performed using computer software. There are several approaches to machine translation, some of them need extensive linguistic knowledge while others require enormous statistical calculations. This paper presents a hybrid method, integrating corpus based approach... | [
"Machine Translation",
"Text Generation",
"Multilinguality"
] | [
51,
47,
0
] |
https://aclanthology.org//2020.nlptea-1.18/ | A Corpus Linguistic Perspective on the Appropriateness of Pop Songs for Teaching Chinese as a Second Language | Language and music are closely related. Regarding the linguistic feature richness, pop songs are probably suitable to be used as extracurricular materials in language teaching. In order to prove this point, this paper presents the Contemporary Chinese Pop Lyrics (CCPL) corpus. Based on that, we investigated and evaluat... | [
"Text Error Correction",
"Syntactic Text Processing"
] | [
26,
15
] |
SCOPUS_ID:85124093014 | A Corpus Linguistics Approach to the Representation of Western Religious Beliefs in Ten Series of Chinese University English Language Teaching Textbooks | The early Sino-Western contact was through the way in which religion and language interact to produce language contact. However, research on this contact is relatively limited to date, particularly in the realm of English language materials. In fact, there is a paucity of research on Western religions in English Langua... | [
"Discourse & Pragmatics",
"Semantic Text Processing",
"Representation Learning"
] | [
71,
72,
12
] |
SCOPUS_ID:85116114326 | A Corpus Preprocessing Method for Syllable-Level Tibetan Text Classification | Text classification is one of the most common and important tasks in the application field of natural language processing. With the rapid development of machine learning landscape, deep learning has become the mainstream approach for implementing text classification applications. However, deep learning has high require... | [
"Information Retrieval",
"Text Classification",
"Information Extraction & Text Mining"
] | [
24,
36,
3
] |
http://arxiv.org/abs/2004.03287v1 | A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products | Recognizing non-standard entity types and relations, such as B2B products, product classes and their producers, in news and forum texts is important in application areas such as supply chain monitoring and market research. However, there is a decided lack of annotated corpora and annotation guidelines in this domain. I... | [
"Relation Extraction",
"Named Entity Recognition",
"Information Extraction & Text Mining"
] | [
75,
34,
3
] |
https://aclanthology.org//W01-1626/ | A Corpus Study of Evaluative and Speculative Language | [
"Natural Language Interfaces",
"Dialogue Systems & Conversational Agents"
] | [
11,
38
] | |
SCOPUS_ID:85101068033 | A Corpus Study of Ideology-Driven Discourse Practice: The University Language Learner as Researcher. The Case of Prepositions | It is widely acknowledged that both language learners and teachers have benefitted in many ways from the implementation of ICTs in and outside the classroom, and continue to do so. The range of skills that students, as future professionals, are required to master has risen exponentially in recent times, partly as a res... | [
"Discourse & Pragmatics",
"Semantic Text Processing"
] | [
71,
72
] |
http://arxiv.org/abs/1909.09067v1 | A Corpus for Automatic Readability Assessment and Text Simplification of German | In this paper, we present a corpus for use in automatic readability assessment and automatic text simplification of German. The corpus is compiled from web sources and consists of approximately 211,000 sentences. As a novel contribution, it contains information on text structure, typography, and images, which can be ex... | [
"Text Generation",
"Paraphrasing",
"Semantic Text Processing",
"Text Complexity"
] | [
47,
32,
72,
42
] |
SCOPUS_ID:85144453129 | A Corpus for Commonsense Inference in the Story Cloze Test | The Story Cloze Test (SCT) is designed for training and evaluating machine learning algorithms for narrative understanding and inferences. The SOTA models can achieve over 90% accuracy on predicting the last sentence. However, it has been shown that high accuracy can be achieved by merely using surface-level features. ... | [
"Commonsense Reasoning",
"Reasoning"
] | [
62,
8
] |
SCOPUS_ID:85127416935 | A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service | The streaming service platform such as YouTube provides a discussion function for audiences worldwide to share comments. YouTubers who upload videos to the YouTube platform want to track the performance of these uploaded videos. However, the present analysis functions of YouTube only provide a few performance indicator... | [
"Visual Data in NLP",
"Language Models",
"Semantic Text Processing",
"Information Retrieval",
"Information Extraction & Text Mining",
"Sentiment Analysis",
"Text Classification",
"Multimodality"
] | [
20,
52,
72,
24,
3,
78,
36,
74
] |
http://arxiv.org/abs/2010.08725v1 | A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences | Multimodal neural machine translation (NMT) has become an increasingly important area of research over the years because additional modalities, such as image data, can provide more context to textual data. Furthermore, the viability of training multimodal NMT models without a large parallel corpus continues to be inves... | [
"Visual Data in NLP",
"Machine Translation",
"Multimodality",
"Text Generation",
"Multilinguality"
] | [
20,
51,
74,
47,
0
] |
SCOPUS_ID:85135779684 | A Corpus for Evaluation of Cross Language Text Re-use Detection Systems | In recent years, the availability of documents through the Internet along with automatic translation systems have increased plagiarism, especially across languages. Cross-lingual plagiarism occurs when the source or original text is in one language and the plagiarized or re-used text is in another language. Various met... | [
"Cross-Lingual Transfer",
"Multilinguality"
] | [
19,
0
] |
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