Sökning: "Conditional Random Field CRF"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Conditional Random Field CRF.

1. 1. An AI-based System for Assisting Planners in a Supply Chain with Email Communication

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Sai Shreya Spurthi Dantu; Akhilesh Yadlapalli; [2023]
   Nyckelord :Email Thread Summarization; Natural Language Processing NLP ; Dialogue Summarization; Conditional Random Field CRF ; Supply Chain Communication.;

   Sammanfattning : Background: Communication plays a crucial role in supply chain management (SCM) as it facilitates the flow of information, materials, and goods across various stages of the supply chain. In the context of supply planning, each planner manages thousands of supply chain entities and spends a lot of time reading and responding to high volumes of emails related to part orders, delays, and backorders that can lead to information overload and hinder workflow and decision-making. LÄS MER

3. 2. Extracting Adverse Drug Reactions from Product Labels using Deep Learning and Natural Language Processing

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Shachi Bista; [2020]
   Nyckelord :;

   Sammanfattning : Pharamacovigilance relates to activities involving drug safety monitoring in the post-marketing phase of the drug development life-cycle. Despite rigorous trials and experiments that drugs undergo before they are available in the market, they can still cause previously unobserved side-effects (also known as adverse events) due to drug–drug interaction, genetic, physiological or demographic reasons. LÄS MER

4. 3. Named Entity Recognition for Social Media Text

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Yaxi Zhang; [2019]
   Nyckelord :;

   Sammanfattning : This thesis aims to perform named entity recognition for English social media texts. Named Entity Recognition (NER) is applied in many NLP tasks as an important preprocessing procedure. Social media texts contain lots of real-time data and therefore serve as a valuable source for information extraction. LÄS MER

5. 4. CE Standard Documents Keyword Extraction and Comparison Between Different MachineLearning Methods

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Junhao Huang; [2018]
   Nyckelord :Keyword extraction; CRF; LSTM; RNN;

   Sammanfattning : Conformité Européenne (CE) approval is a complex task for producers in Europe. The producers need to search for necessary standard documents and do the tests by themselves. LÄS MER

7. 5. Grammatical Error Identification for Learners of Chinese as a Foreign Language

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Yang Xiang; [2018]
   Nyckelord :Chinese; grammatical error identification;

   Sammanfattning : This thesis aims to build a system to tackle the task of diagnosing the grammatical errors in sentences written by learners of Chinese as a foreign language with the help of the CRF model (Conditional Random Field). The goal of this task is threefold:  1) identify if the sentence is correct or not, 2) identify the specific error types in the sentence, 3) find out the location of the identified errors. LÄS MER