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EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 : Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian Final Workshop / / Valerio Basile, Danilo Croce, Maria Maro, Lucia C. Passaro
EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020 : Proceedings of the Seventh Evaluation Campaign of Natural Language Processing and Speech Tools for Italian Final Workshop / / Valerio Basile, Danilo Croce, Maria Maro, Lucia C. Passaro
Autore Agerri Rodrigo
Pubbl/distr/stampa Torino, : Accademia University Press, 2020
Descrizione fisica 1 online resource (521 p.)
Altri autori (Persone) AliprandiCarlo
AlkhalifaRabab
AlzettaChiara
AngelJason
AnselmiGuido
Appiah BalajiNitin Nikamanth
AroyehunSegun Taofeek
Artigas HeroldMaria Fernanda
AttanasioGiuseppe
AttardiGiuseppe
BadryzlovaYulia
BaiYang
BaldissinGioia
BallarèSilvia
Barrón-CedeñoAlberto
BartleAnna-Sophie
BasilePierpaolo
BasileValerio
BasiliRoberto
BelottiFederico
BenniciMauro
BharathiB
BhuvanaJ
BianchiFederico
BiscontiElia
BolanosLuis
BondielliAlessandro
BoscoCristina
BreazzanoClaudia
BrivioMatteo
BrunatoDominique
CafagnaMichele
CaputoAnnalina
CaselliTommaso
CassottiPierluigi
CastañedaEnrique
Castro CastroDaniel
CentenoRoberto
CercelDumitru-Clementin
CerrutiMassimo
ChandraboseAravindan
ChesiCristiano
ChiarelloFilippo
CignarellaAlessandra Teresa
CiminoAndrea
ComandiniGloria
CroceDanilo
DaiHongbing
DascaluMihai
Dell’OrlettaFelice
DelmonteRodolfo
DengTao
De FrancescoNazareno
De MartinoGraziella
De MatteiLorenzo
Di BuccioEmanuele
Di MaroMaria
di NuovoElisa
Di RosaEmanuele
dos S.R. da SilvaAdriano
DuranteAlberto
El AbassiSamer
EspinosaMaría S
FabriziSamuel
FantoniGualtiero
FerilliStefano
FerraccioliFederico
FersiniElisabetta
FinosLivio
FiorucciStefano
FontanaMichele
FrendaSimona
GambinoGiuseppe
GattAlbert
GelbukhAlexander
GiorgiGiulia
GiorgioniSimone
GirardiPaolo
GoriaEugenio
GregoriLorenzo
HoffmannJulia
IaconoMaria
IovineAndrea
IzziGiovanni Luca
JimenezSergio
KaiserJens
KayalvizhiS
KivlichanIan
KlausSvea
KocevaFrosina
KovácsGyörgy
KruschwitzUdo
Labadie TamayoRoberto
LaiMirko
LaicherSeverin
LapesaGabriella
LavergneEric
LebaniGianluca E
LebaniGianluca E
LeesAlyssa
LenciAlessandro
LeonardelliElisa
LiHongling
LiakataMaria
LovetereMarco
MadonnaDomenico
MassiddaRiccardo
MatteiLorenzo De
MauriCaterina
MeleFrancesco
MelucciMassimo
MeniniStefano
MiaschiAlessio
MilianiMartina
MoggioAlessio
MontagnaniMatteo
MontefineseMaria
MontemagniSimonetta
MontiJohanna
MoracaMaurizio
MorettiGiovanni
MorraSimone
MurphyKillian
MutiArianna
NakovPreslav
NisioiSergiu
NissimMalvina
NozzaDebora
OcchipintiDaniela
Ortega BuenoReynier
OuXiaozhi
PalmonariMatteo
ParizziAndrea
PascucciAntonio
PassaroLucia C
PastorEliana
PattiViviana
PirroneRoberto
PolignanoMarco
PolitiMarcello
PontMattia Da
PražákOndřej
PřibáňPavel
ProislThomas
PuccettiGiovanni
RadicioniDaniele P
RamaIlir
RambelliGiulia
RavelliAndrea Amelio
RodrigoAlvaro
Rodriguez-DiazCarlos A
Rodriguez CisneroMariano Jason
RomanNorton T
RomanNorton Trevisan
RossmannDaniela
RossoPaolo
RotaruArmand Stefan
RubinoEdoardo
RussoIrene
SabellaGianluca
SainiRajkumar
SalmanSamir
SangatiFederico
SanguinettiManuela
SartiGabriele
SchlechtwegDominik
Schulte im WaldeSabine
SciandraAndrea
SetpalJinen
SicilianiLucia
SolariDario
SorensenJeffrey
SorgenteAntonio
SprugnoliRachele
StranisciMarco
TamburiniFabio
TaylorStephen
TeseiAndrea
ThenmozhiD
TonelliSara
TorreIlaria
TsakalidisAdam
VarvaraRossella
VenturiGiulia
VettigliGiuseppe
VladGeorge-Alexandru
WangBenyou
ZahariaGeorge-Eduard
ZamparelliRoberto
ZubiagaArkaitz
MaroMaria
Collana Collana dell'Associazione Italiana di Linguistica Computazionale
Soggetto topico Language & Linguistics
EVALITA
COVID-19 Infodemic
linguistica computazionale
Automatic Misogyny Identification
Misogyny on Twitter Posts
AlBERTo
Convolutional Neural Network
BERT Model
Hate Speech Detection
Multimodal Meme Detection
MEME management
Language Game ``La Ghigliottina''
Soggetto non controllato EVALITA
COVID-19 Infodemic
linguistica computazionale
Automatic Misogyny Identification
Misogyny on Twitter Posts
AlBERTo
Convolutional Neural Network
BERT Model
Hate Speech Detection
Multimodal Meme Detection
MEME management
Language Game ``La
ISBN 979-1-280-13632-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910496009103321
Agerri Rodrigo  
Torino, : Accademia University Press, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Information Retrieval Technology [[electronic resource] ] : 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings / / edited by Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov
Information Retrieval Technology [[electronic resource] ] : 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings / / edited by Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XIII, 627 p. 152 illus.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Information storage and retrieval
Application software
Algorithms
Data structures (Computer science)
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Algorithm Analysis and Problem Complexity
Data Structures
Data Storage Representation
ISBN 1-280-39041-7
9786613568335
3-642-17187-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Session 1: IR Models – I -- Relevance Ranking Using Kernels -- Mining YouTube to Discover Extremist Videos, Users and Hidden Communities -- Title-Based Product Search – Exemplified in a Chinese E-commerce Portal -- Relevance Model Revisited: With Multiple Document Representations -- Session 2: Machine Learning for IR – I -- Multi-viewpoint Based Similarity Measure and Optimality Criteria for Document Clustering -- A Text Classifier with Domain Adaptation for Sentiment Classification -- Session 3: User Studies and Evaluation -- Effective Time Ratio: A Measure for Web Search Engines with Document Snippets -- Investigating Characteristics of Non-click Behavior Using Query Logs -- Score Estimation, Incomplete Judgments, and Significance Testing in IR Evaluation -- Poster Session -- Multi-Search: A Meta-search Engine Based on Multiple Ontologies -- Co-HITS-Ranking Based Query-Focused Multi-document Summarization -- Advanced Training Set Construction for Retrieval in Historic Documents -- Ontology-Driven Semantic Digital Library -- Revisiting Rocchio’s Relevance Feedback Algorithm for Probabilistic Models -- When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval -- Connecting Qualitative and Quantitative Analysis of Web Search Process: Analysis Using Search Units -- Transliteration Retrieval Model for Cross Lingual Information Retrieval -- The Role of Lexical Ontology in Expanding the Semantic Textual Content of On-Line News Images -- Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank -- Pseudo-Relevance Feedback Based on mRMR Criteria -- An Integrated Deterministic and Nondeterministic Inference Algorithm for Sequential Labeling -- FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies -- Effectively Leveraging Entropy and Relevance for Summarization -- Machine Learning Approaches for Modeling Spammer Behavior -- Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields -- Semantic Relation Extraction Based on Semi-supervised Learning -- Corpus-Based Arabic Stemming Using N-Grams -- Analysis and Algorithms for Stemming Inversion -- Top-Down and Bottom-Up: A Combined Approach to Slot Filling -- Relation Extraction between Related Concepts by Combining Wikipedia and Web Information for Japanese Language -- A Chinese Sentence Compression Method for Opinion Mining -- Relation Extraction in Vietnamese Text Using Conditional Random Fields -- A Sparse L 2-Regularized Support Vector Machines for Large-Scale Natural Language Learning -- An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data -- Constructing Blog Entry Classifiers Using Blog-Level Topic Labels -- Finding Hard Questions by Knowledge Gap Analysis in Question Answer Communities -- Exploring the Visual Annotatability of Query Concepts for Interactive Cross-Language Information Retrieval -- A Diary Study-Based Evaluation Framework for Mobile Information Retrieval -- Dynamics of Genre and Domain Intents -- Query Recommendation Considering Search Performance of Related Queries -- Session 4: NLP for IR – I -- A Local Generative Model for Chinese Word Segmentation -- Re-ranking Summaries Based on Cross-Document Information Extraction -- A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems -- Domain-Specific Term Rankings Using Topic Models -- Learning Chinese Polarity Lexicons by Integration of Graph Models and Morphological Features -- Session 5: Machine Learning for IR – II -- Learning to Rank with Supplementary Data -- Event Recognition from News Webpages through Latent Ingredients Extraction -- Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices -- Session 6: IR Models – II -- A Unified Iterative Optimization Algorithm for Query Model and Ranking Refinement -- A Study of Document Weight Smoothness in Pseudo Relevance Feedback -- Modeling Variable Dependencies between Characters in Chinese Information Retrieval -- Session 7: Web and QA -- Mining Parallel Documents across Web Sites -- A Revised SimRank Approach for Query Expansion -- Improving Web-Based OOV Translation Mining for Query Translation -- On a Combination of Probabilistic and Boolean IR Models for Question Answering -- Session 8: Multimedia -- Emotion Tag Based Music Retrieval Algorithm -- An Aesthetic-Based Approach to Re-ranking Web Images.
Record Nr. UNISA-996465947903316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Information Retrieval Technology [[electronic resource] ] : 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings / / edited by Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov
Information Retrieval Technology [[electronic resource] ] : 6th Asia Information Retrieval Societies Conference, AIRS 2010, Taipei, Taiwan, December 1-3, 2010, Proceedings / / edited by Pu-Jen Cheng, Min-Yen Kan, Wai Lam, Preslav Nakov
Edizione [1st ed. 2010.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Descrizione fisica 1 online resource (XIII, 627 p. 152 illus.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Information storage and retrieval
Application software
Algorithms
Data structures (Computer science)
Database Management
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
Algorithm Analysis and Problem Complexity
Data Structures
Data Storage Representation
ISBN 1-280-39041-7
9786613568335
3-642-17187-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Session 1: IR Models – I -- Relevance Ranking Using Kernels -- Mining YouTube to Discover Extremist Videos, Users and Hidden Communities -- Title-Based Product Search – Exemplified in a Chinese E-commerce Portal -- Relevance Model Revisited: With Multiple Document Representations -- Session 2: Machine Learning for IR – I -- Multi-viewpoint Based Similarity Measure and Optimality Criteria for Document Clustering -- A Text Classifier with Domain Adaptation for Sentiment Classification -- Session 3: User Studies and Evaluation -- Effective Time Ratio: A Measure for Web Search Engines with Document Snippets -- Investigating Characteristics of Non-click Behavior Using Query Logs -- Score Estimation, Incomplete Judgments, and Significance Testing in IR Evaluation -- Poster Session -- Multi-Search: A Meta-search Engine Based on Multiple Ontologies -- Co-HITS-Ranking Based Query-Focused Multi-document Summarization -- Advanced Training Set Construction for Retrieval in Historic Documents -- Ontology-Driven Semantic Digital Library -- Revisiting Rocchio’s Relevance Feedback Algorithm for Probabilistic Models -- When Two Is Better Than One: A Study of Ranking Paradigms and Their Integrations for Subtopic Retrieval -- Connecting Qualitative and Quantitative Analysis of Web Search Process: Analysis Using Search Units -- Transliteration Retrieval Model for Cross Lingual Information Retrieval -- The Role of Lexical Ontology in Expanding the Semantic Textual Content of On-Line News Images -- Order Preserved Cost-Sensitive Listwise Approach in Learning to Rank -- Pseudo-Relevance Feedback Based on mRMR Criteria -- An Integrated Deterministic and Nondeterministic Inference Algorithm for Sequential Labeling -- FolkDiffusion: A Graph-Based Tag Suggestion Method for Folksonomies -- Effectively Leveraging Entropy and Relevance for Summarization -- Machine Learning Approaches for Modeling Spammer Behavior -- Research of Sentiment Block Identification for Customer Reviews Based on Conditional Random Fields -- Semantic Relation Extraction Based on Semi-supervised Learning -- Corpus-Based Arabic Stemming Using N-Grams -- Analysis and Algorithms for Stemming Inversion -- Top-Down and Bottom-Up: A Combined Approach to Slot Filling -- Relation Extraction between Related Concepts by Combining Wikipedia and Web Information for Japanese Language -- A Chinese Sentence Compression Method for Opinion Mining -- Relation Extraction in Vietnamese Text Using Conditional Random Fields -- A Sparse L 2-Regularized Support Vector Machines for Large-Scale Natural Language Learning -- An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data -- Constructing Blog Entry Classifiers Using Blog-Level Topic Labels -- Finding Hard Questions by Knowledge Gap Analysis in Question Answer Communities -- Exploring the Visual Annotatability of Query Concepts for Interactive Cross-Language Information Retrieval -- A Diary Study-Based Evaluation Framework for Mobile Information Retrieval -- Dynamics of Genre and Domain Intents -- Query Recommendation Considering Search Performance of Related Queries -- Session 4: NLP for IR – I -- A Local Generative Model for Chinese Word Segmentation -- Re-ranking Summaries Based on Cross-Document Information Extraction -- A Two-Stage Algorithm for Domain Adaptation with Application to Sentiment Transfer Problems -- Domain-Specific Term Rankings Using Topic Models -- Learning Chinese Polarity Lexicons by Integration of Graph Models and Morphological Features -- Session 5: Machine Learning for IR – II -- Learning to Rank with Supplementary Data -- Event Recognition from News Webpages through Latent Ingredients Extraction -- Tuning Machine-Learning Algorithms for Battery-Operated Portable Devices -- Session 6: IR Models – II -- A Unified Iterative Optimization Algorithm for Query Model and Ranking Refinement -- A Study of Document Weight Smoothness in Pseudo Relevance Feedback -- Modeling Variable Dependencies between Characters in Chinese Information Retrieval -- Session 7: Web and QA -- Mining Parallel Documents across Web Sites -- A Revised SimRank Approach for Query Expansion -- Improving Web-Based OOV Translation Mining for Query Translation -- On a Combination of Probabilistic and Boolean IR Models for Question Answering -- Session 8: Multimedia -- Emotion Tag Based Music Retrieval Algorithm -- An Aesthetic-Based Approach to Re-ranking Web Images.
Record Nr. UNINA-9910483857003321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Speech and Language Technologies for Low-Resource Languages : Second International Conference, SPELLL 2023, Perundurai, Erode, India, December 6-8, 2023, Revised Selected Papers
Speech and Language Technologies for Low-Resource Languages : Second International Conference, SPELLL 2023, Perundurai, Erode, India, December 6-8, 2023, Revised Selected Papers
Autore Chakravarthi Bharathi Raja
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer International Publishing AG, , 2024
Descrizione fisica 1 online resource (470 pages)
Altri autori (Persone) BBharathi
García CumbrerasMiguel Ángel
Jiménez ZafraSalud María
SubramanianMalliga
ShanmugavadivelKogilavani
NakovPreslav
Collana Communications in Computer and Information Science Series
ISBN 3-031-58495-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- Language Resources -- PolitiKweli: A Swahili-English Code-Switched Twitter Political Misinformation Classification Dataset -- 1 Introduction -- 2 Code-Switching on Social Media -- 3 Political Misinformation on Social Media -- 3.1 Case of Kenyan Politics on Twitter -- 4 Related Work -- 5 Methodology -- 5.1 Data Collection -- 5.2 Data Processing -- 5.3 Data Annotation -- 5.4 Data Analysis -- 6 Experimentation and Results -- 7 Conclusion and Future Work -- References -- Telugu Meme Dataset and Baseline System for Automatic Identification of Domain, and Troll in Memes -- 1 Introduction -- 2 Literature Review -- 3 Meme Data-Set Discussion -- 3.1 Dataset Creation -- 3.2 Backend Server for Dataset -- 3.3 Data Cleaning -- 3.4 Dataset Analysis -- 4 Meme Classification -- 4.1 Methodology -- 4.2 Models and Their Features -- 5 Results -- 5.1 Troll and Non-troll Classification -- 5.2 Domain Classification -- 5.3 Emotion Classification -- 6 Conclusions and Future Trends -- References -- SamPar: A Marathi Hate Speech Dataset for Homophobia, Transphobia -- 1 Introduction -- 2 Related Work -- 3 Dataset Creation -- 3.1 Search Criteria -- 3.2 Data Annotation -- 3.3 Annotation Process -- 3.4 Dataset Statistics -- 3.5 Privacy Concerns -- 4 Experiments -- 4.1 TF-IDF and NLTK Baseline Experiment -- 4.2 Data Compression-Based Classifier Using Normalized Compression Distance (NCD) -- 4.3 Deep Learning Models -- 4.4 Discussion -- 5 Conclusion and Future Work -- References -- L3Cube-MahaNews: News-Based Short Text and Long Document Classification Datasets in Marathi -- 1 Introduction -- 2 Related Work -- 3 Curating the Dataset -- 3.1 Data Collection -- 3.2 Data Statistics -- 4 Evaluation -- 4.1 Experiment Setup -- 4.2 Results -- 5 Conclusion -- References.
Creation and Classification of Kannada Meme Dataset: Exploring Domain and Troll Categories -- 1 Introduction -- 2 Related Works -- 3 Kannada Dataset -- 3.1 Data Gathering and Refinement -- 3.2 Dataset Annotation and Inter-Annotator Agreement -- 3.3 Data Statistics and Analysis -- 3.4 Text Extraction and Data Preprocessing -- 4 Kannada Meme Classification -- 4.1 Models and Their Features -- 4.2 Image Modality -- 4.3 Text Modality -- 4.4 Multimodal Approach -- 5 Results -- 5.1 Domain Classification -- 5.2 Troll Classification -- 6 Conclusions and Future Trends -- References -- The Impact of Tamil Python Programming in Wikisource -- 1 Introduction -- 2 Wikisource and Tamil Wikisource -- 3 Contribution of Wikimedians -- 3.1 Python Automation for Other Projects Using Wikisource Data -- 3.2 Tamil Wikisource Contributor Info-Farmer -- 3.3 Automation in Wikimedia -- 4 Tamil Python Programming -- 4.1 Python Tags and PyTamil Tags -- 4.2 Wikisource Development for Tamil Python Programming -- 4.3 PAWS -- 5 Conclusion and Future Scope -- References -- Language Technologies -- Natural Language Processing for Tulu: Challenges, Review and Future Scope -- 1 Introduction -- 1.1 Introduction to Tulu -- 1.2 Importance of NLP Technologies for Low-Resource Languages -- 1.3 Scope and Objectives of the Paper -- 2 Present Challenges -- 2.1 Limited Data Availability -- 2.2 Lack of Digital Resources -- 2.3 Code-Mixing and Language Variation -- 2.4 Morphological Complexity -- 2.5 Speech Recognition Challenges -- 2.6 Machine Translation Challenges -- 2.7 Character Recognition -- 3 Existing Digital Resources -- 4 Morphological Analysis and Generation -- 4.1 Morphological Complexity of Tulu -- 4.2 Overview of the Rule-Based Approach -- 4.3 Model Description -- 4.4 System Performance -- 5 Automatic Speech Recognition -- 5.1 Existing Corpus -- 5.2 Corpus Creation and Analysis.
5.3 Model Overview -- 5.4 System Performance -- 6 Sentiment Analysis -- 6.1 Nature of Corpus Created -- 6.2 Methods for Corpus Creation -- 6.3 Corpus Annotation and Annotator Agreement -- 6.4 Baseline Models -- 7 Kannada-Tulu Machine Translation -- 7.1 Corpus Creation -- 7.2 Model Description -- 7.3 System Performance -- 8 English-Tulu Machine Translation -- 8.1 Overview of the Rule-Based Approach -- 8.2 Model Description -- 8.3 System Performance -- 9 Character Recognition -- 9.1 Existing Corpus -- 9.2 Corpora Creation -- 9.3 Pre-processing Approaches -- 9.4 Feature Extraction -- 9.5 Model Description -- 9.6 System Performance -- 10 Future Scope -- 11 Conclusion -- References -- DepBoost-TransNet: Boosted Transformer Network for Depression Classification -- 1 Introduction -- 2 Motivation -- 3 Literature Review -- 4 Dataset -- 4.1 Dataset Analysis -- 5 Methodology -- 5.1 Implemented Architecture -- 5.2 Feature Extraction -- 5.3 Key Modules -- 6 Experiments -- 6.1 Without Data Augmentation -- 6.2 With Data Augmentation -- 7 Results -- 8 Conclusion -- 8.1 Limitations -- 8.2 Future Scope -- References -- Optimized BERT Model for Question Answering System on Mobile Platform -- 1 Introduction -- 2 Related Works -- 3 Optimized BERT Based Question-Answering System -- 3.1 Post-training Quantization -- 4 Results and Discussion -- 4.1 Accuracy Score, Model Size and Inference Time -- 4.2 Question Answering Results and Mobile App -- 5 Conclusion -- References -- A Comparative Analysis of Pretrained Models for Sentiment Analysis on Restaurant Customer Reviews (CAPM-SARCR) -- 1 Introduction -- 2 Related Work -- 3 Data Description -- 4 Proposed System -- 4.1 Data Preprocessing -- 4.2 BERT Tokenizer -- 4.3 RoBERTa -- 4.4 mBERT -- 4.5 DeBERTa -- 4.6 XLNet -- 5 Experimental Results and Discussion -- 6 Conclusion -- References.
Lightweight Language Agnostic Data Sanitization Pipeline for Dealing with Homoglyphs in Code-Mixed Languages -- 1 Introduction -- 2 Related Works -- 2.1 Homoglyphs in NLP -- 2.2 Homoglyph Detection -- 2.3 Code-Mixed Language Models -- 2.4 Candidate Word Generation -- 2.5 N-grams for Information Retrieval -- 3 Proposed Methodology -- 3.1 Datasets -- 3.2 Pipeline -- 4 Experiment -- 4.1 Effects of Homoglyphs on MuRIL -- 4.2 OCR -- 4.3 N-grams and Symspell Training -- 5 Results -- 6 Limitations -- 7 Conclusion -- References -- TextGram: Towards a Better Domain-Adaptive Pretraining -- 1 Introduction -- 2 Motivation -- 3 Related Work -- 4 Experimentation Setup -- 4.1 Datasets -- 4.2 Model Architecture -- 4.3 Data Selection Techniques -- 5 Proposed Technique - TextGram -- 6 Evaluation Results -- 6.1 Fine-Tuning Without Data Selection -- 6.2 Fine-Tuning with Data Selection -- 7 Conclusion and Future Work -- References -- Abusive Social Media Comments Detection for Tamil and Telugu -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Methodology -- 5 Results and Discussion -- 5.1 Results -- 5.2 Discussions -- 6 Conclusion -- References -- Sales Forecasting from Group Conversation Using Natural Language Processing -- 1 Introduction -- 2 Literature Survey -- 3 Existing System -- 3.1 Drawbacks -- 4 Proposed System -- 5 Algorithm -- 5.1 Text Blob -- 5.2 Vader -- 6 Module Description -- 6.1 Data Retrieval and Pre-processing -- 6.2 Sentiment Analysis -- 6.3 Exploratory Data Analysis -- 6.4 Data Visualization -- 6.5 Sales Analysis -- 7 Results and Discussion -- 8 Conclusion and Future Work -- References -- Hands in Harmony: Empowering Communication Through Translation -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Module I: Speech-to-Sign Language & -- Telugu Text Translation.
3.2 Module II: Translation of Sign Language to Text -- 4 Results and Discussion -- 4.1 Speech-to-Sign Language & -- Text Translation -- 4.2 Sign Language to Text Translation -- 5 Conclusion -- References -- Offensive Text Detection for Tamil Language -- 1 Introduction -- 2 Background and Related Work -- 3 System Architecture -- 4 Methodology -- 4.1 Dataset -- 4.2 Data Preprocessing -- 4.3 Feature Extraction and Word Embeddings -- 4.4 Building the Model -- 4.5 Detection of Offensive in Tweets -- 5 Discussion and Results -- 6 Conclusion and Future Works -- References -- Telugu-English Abusive Comment Detection Using XLMRoBERTa and mBERT -- 1 Introduction -- 2 Related Work -- 3 Dataset Description -- 4 Proposed Approach -- 5 Results -- 6 Conclusion -- References -- A Knowledge Engineering Framework Addressing High Incidence of Farmer Suicides -- 1 Introduction -- 2 Methodology -- 2.1 Cause-and-Effect Sentences -- 3 Data, Experiments and Results -- 3.1 Extraction of Causal Sentences -- 3.2 Extraction of Causal Words -- 3.3 Probabilities and Grouping -- 4 Conclusion -- References -- Event Categorization from News Articles Using Machine Learning Techniques -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 Pre-processing -- 3.2 Machine Learning Techniques -- 4 Performance Evaluation -- 4.1 Dataset Description -- 5 Conclusion -- References -- From Words to Emotions: Identifying Depression Through Social Media Insights -- 1 Introduction -- 2 Literature Survey -- 3 Methods and Materials -- 3.1 Dataset Description -- 3.2 Preprocessing -- 3.3 Feature Extraction and Word Embedding Technique -- 3.4 Proposed Classifiers -- 4 Results and Discussion -- 4.1 Performance Metrics -- 5 Conclusion and Future Work -- References -- Text Summarisation for Low-Resourced Languages, A Review -- 1 Introduction -- 2 Datasets Generation and Curation.
3 Summarisation Techniques for African Languages.
Record Nr. UNINA-9910851998303321
Chakravarthi Bharathi Raja  
Cham : , : Springer International Publishing AG, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui