Skip to search
Skip to main content
Search in
Keyword
Title (keyword)
Author (keyword)
Subject (keyword)
Title starts with
Subject (browse)
Author (browse)
Author (sorted by title)
Call number (browse)
search for
Search
Advanced Search
Bookmarks
(
0
)
Princeton University Library Catalog
Start over
Cite
Send
to
SMS
Email
EndNote
RefWorks
RIS
Printer
Bookmark
Natural Language Processing and Information Systems : 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, Derby, UK, June 21–23, 2023, Proceedings / edited by Elisabeth Métais, Farid Meziane, Vijayan Sugumaran, Warren Manning, Stephan Reiff-Marganiec.
Format
Book
Language
English
Εdition
1st ed. 2023.
Published/Created
Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Description
1 online resource (613 pages)
Availability
Available Online
Springer Nature - Springer Computer Science eBooks 2023 English International
Springer Nature - Springer Lecture Notes in Computer Science eBooks
Details
Subject(s)
Computer engineering
[Browse]
Computer networks
[Browse]
Artificial intelligence
[Browse]
Image processing
—
Digital techniques
[Browse]
Computer vision
[Browse]
Social sciences
—
Data processing
[Browse]
Editor
Métais, Elisabeth
[Browse]
Series
Lecture Notes in Computer Science, 13913
[More in this series]
Lecture Notes in Computer Science, 1611-3349 ; 13913
[More in this series]
Summary note
This book constitutes the refereed proceedings of the 28th International Conference on Applications of Natural Language to Information Systems, NLDB 2023, held in Derby, UK, in June 21–23, 2023 The 31 full papers and 14 short papers included in this book were carefully reviewed and selected from 89 submissions. They focus on the developments of the application of natural language to databases and information systems in the wider meaning of the term.
Bibliographic references
Includes bibliographical references and index.
Contents
Large Language Models in the Workplace: A Case Study on Prompt Engineering for Job Type Classification
How Challenging is Multimodal Irony Detection?
Less is more: A Prototypical Framework for Efficient Few-Shot Named Entity Recognition
Don’t Lose the Message while Paraphrasing: A Study on Content Preserving Style Transfer
A Review of Parallel Corpora for Automatic Text Simplification. Key Challenges Moving Forward
Explaining a Deep Learning Model for Aspect-Based Sentiment Classification Using Post-hoc Local Classifiers
Arabic Privacy Policy Corpus and Classification
SmartEDU: Accelerating Slide Deck Production with Natural Language Processing
Explainable Integration of Knowledge Graphs using Large Language Models
Cross-domain and cross-language irony detection: The impact of bias on models’ generalization
Prompt and Instruction-Based Tuning for Response Generation in Conversational Question Answering
IndQNER: Named Entity Recognition Benchmark Dataset from the Indonesian Translation of the Quran
Comparing object recognition models and studying hyperparameter selection for the detection of bolts
Morphosyntactic Evaluation for Text Summarization in Morphologically Rich Languages: A Case Study for Turkish
Building Knowledge Graphs in Heliophysics and Astrophysics
Text to Image Synthesis Using Bridge Generative Adversarial Network and Char CNN Model
Evaluation of transformer-based models for punctuation and capitalization restoration in Spanish and Portuguese
Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition
Could KeyWord Masking strategy improve language model?
Regularization, Semi-supervision, and Supervision for a Plausible Attention-Based Explanation
Node-Weighted Centrality Ranking for Unsupervised Long Document Summarization
Characterization of the city of the future from a science fiction corpus
On the Rule-based Extraction of Statistics Reported in Scientific Papers
GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task
Expanding Domain-specific Knowledge Graphs with Unknown Facts
Knowledge Graph Representation Learning via Generated Descriptions
LonXplain: Lonesomeness as a Consequence of Mental Disturbance in Reddit Posts
A Comparative Study of Evaluation Metrics for Long-Document Financial Narrative Summarization with Transformers
Effective Information Retrieval, Question Answering and Abstractive Summarization on Large-scale Biomedical Document Corpora
Abstractive Summarization Based Question-Answer System for Structural Information
Adversarial Capsule Networks for Romanian Satire Detection and Sentiment Analysis
A Few-shot Approach to Resume Information Extraction via Prompts
Decoding Strategies for Code Conciseness and Efficiency in Transformer-Generated Programs
SP-BERT: A Language Model for Political Text in Scandinavian Languages
Improving Context-Awareness on Multi-Turn Dialogue Modeling with Extractive Summarization Techniques
Document Knowledge Transfer for Aspect-Based Sentiment Classification Using a Left-Center-Right Separated Neural Network with Rotatory Attention
Argument and counter-argument generation: a critical survey
Novel Benchmark Data Set for Automatic Error Detection and Correction
Weakly-Supervised Multimodal Learning for Predicting the Gender of Twitter Users
Cross-Domain Toxic Spans Detection
How shall a machine call a thing?
Detecting Artificially Generated Academic Text: the Importance of Mimicking Human Utilization of Large Language Models
Leveraging Small-BERT and Bio-BERT for Abbreviation Identification in Scientific Text
RoBERTweet: A BERT Language Model for Romanian Tweets
Evaluating the Effect of Letter Case on Named Entity Recognition Performance. .
Show 42 more Contents items
ISBN
3-031-35320-X
Doi
10.1007/978-3-031-35320-8
Statement on responsible collection description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
Read more...
Other views
Staff view
Ask a Question
Suggest a Correction
Supplementary Information