Results 31 to 40 of about 12,045,326 (363)
TRIE: End-to-End Text Reading and Information Extraction for Document Understanding [PDF]
Since real-world ubiquitous documents (e.g., invoices, tickets, resumes and leaflets) contain rich information, automatic document image understanding has become a hot topic.
Peng Zhang+7 more
semanticscholar +1 more source
Temporal fact extraction of fruit cultivation technologies based on deep learning
There are great differences in fruit planting techniques due to different regional environments. Farmers can't use the same standard in growing fruit.
Xinliang Liu+3 more
doaj +1 more source
A Joint Neural Model for Information Extraction with Global Features
Most existing joint neural models for Information Extraction (IE) use local task-specific classifiers to predict labels for individual instances (e.g., trigger, relation) regardless of their interactions. For example, a victim of a die event is likely to
Ying Lin, Heng Ji, Fei Huang, Lingfei Wu
semanticscholar +1 more source
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction
Background Social media is a useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for pharmacovigilance.
Shashank Gupta+4 more
doaj +1 more source
IMoJIE: Iterative Memory-Based Joint Open Information Extraction [PDF]
While traditional systems for Open Information Extraction were statistical and rule-based, recently neural models have been introduced for the task. Our work builds upon CopyAttention, a sequence generation OpenIE model (Cui et. al. 18).
Keshav Kolluru+4 more
semanticscholar +1 more source
Event detection based on open information extraction and ontology
Most of the information is available in the form of unstructured textual documents due to the growth of information sources (the Web for example). In this respect, to extract a set of events from texts written in natural language in the management change
Sihem Sahnoun+2 more
doaj +1 more source
Information Extraction from Unstructured Data on Microplastic through Text Mining
Objectives: In this study, we seek to provide a thorough insight into how people perceive them and uncover issues and hidden trends about the significant microplastic pollution problems by analyzing unstructured data on microplastics.
Wuseong Jeong+2 more
doaj +1 more source
Evaluating Information Extraction [PDF]
The issue of how to experimentally evaluate information extraction (IE) systems has received hardly any satisfactory solution in the literature. In this paper we propose a novel evaluation model for IE and argue that, among others, it allows (i) a correct appreciation of the degree of overlap between predicted and true segments, and (ii) a fair ...
Esuli A, Sebastiani F
openaire +4 more sources
Split-Correctness in Information Extraction [PDF]
Programs for extracting structured information from text, namely information extractors, often operate separately on document segments obtained from a generic splitting operation such as sentences, paragraphs, k-grams, HTTP requests, and so on. An automated detection of this behavior of extractors, which we refer to as split-correctness, would allow ...
DOLESCHAL, Johannes+4 more
openaire +3 more sources
Natural language processing in clinical neuroscience and psychiatry: A review
Natural language processing (NLP) is rapidly becoming an important topic in the medical community. The ability to automatically analyze any type of medical document could be the key factor to fully exploit the data it contains.
Claudio Crema+3 more
doaj +1 more source