Results 101 to 110 of about 1,142,269 (203)

Context-Sensitive N-Gram Word Partitioning for Improving the Quality of Turkish Word Embeddings

Applied Sciences
Current advances in neural network models have improved state-of-the-art performance in natural language processing tasks such as named-entity recognition, sentiment analysis, and machine translation.
Hayri Volkan Agun
doaj   +1 more source

J-NERD: Joint Named Entity Recognition and Disambiguation with Rich Linguistic Features

Transactions of the Association for Computational Linguistics, 2021
Dat Ba Nguyen, Martin Theobald, Gerhard Weikum   +2 more
doaj   +1 more source

Named Entity Extraction and Disambiguation

, 2011
Named entity extraction and disambiguation have received much attention in recent years. Typical fields addressing these topics are information retrieval, natural language processing, and semantic web. Although these topics are highly dependent, almost no existing works examine this dependency.
Habib, Mena Badieh, van Keulen, Maurice
openaire   +1 more source

Construction and application of knowledge mapping of carbon emission governance technologies for coal mining and utilization

Meitan kexue jishu
Coal is the main force of carbon reduction in energy consumption, and the carbon emissions generated in the process of coal exploitation and utilization account for about 60%−70% of the total national carbon emissions, which is the key to accomplishing ...
Ying WANG, Liya WANG, Fei MA, Yang YANG, Zishuai ZU   +4 more
doaj   +1 more source

Creating enriched YouTube media fragments With NERD using timed-text

, 2012
This demo enables the automatic creation of semantically annotated YouTube media fragments. A video is first ingested in the Synote system and a new method enables to retrieve its associated subtitles or closed captions.
Rizzo, Giuseppe, Wald, Mike, Wills, Gary, Li, Yunjia, Troncy, Raphael   +4 more
core   +1 more source

A New Approach for Carrying Out Sentiment Analysis of Social Media Comments Using Natural Language Processing

Engineering Proceedings
Business and science are using sentiment analysis to extract and assess subjective information from the web, social media, and other sources using NLP, computational linguistics, text analysis, image processing, audio processing, and video processing. It
Mritunjay Ranjan, Sanjay Tiwari, Arif Md Sattar, Nisha S. Tatkar   +3 more
doaj   +1 more source

Med-LLaMA3: Advancing Medical Question-Answering Through Parameter-Efficient Fine-Tuning of Large Language Models

Applied Sciences
Despite recent advances, medical question answering systems still struggle with domain-specific reasoning and data efficiency. This paper presents Med-LLaMA3, a family of medical large language models developed by parameter-efficient fine-tuning of the ...
Mohamed Ahmed Abo El-Enen, Sally S. Ismail, Taymoor Mohamed Nazmy   +2 more
doaj   +1 more source

Knowledge Graph Driven Grain Big Data Applications: Overview and Perspective

智慧农业
[Significance]Grain production spans multiple stages and involves numerous heterogeneous factors, including agronomic inputs, natural resources, environmental conditions, and socio-economic variables. However, the associated data generated throughout the
YANG Chenxue, LI Xian, ZHOU Qingbo
doaj   +1 more source

Exploiting multi-word units in history-based probabilistic generation [PDF]

, 2007
We present a simple history-based model for sentence generation from LFG f-structures, which improves on the accuracy of previous models by breaking down PCFG independence assumptions so that more f-structure conditioning context is used in the ...
Cahill, Aoife, Hogan, Deirdre, van Genabith, Josef, Cafferkey, Conor   +3 more
core  

Word Sense Disambiguation with Wikipedia Entities: A Survey of Entity Linking Approaches. [PDF]

Entropy (Basel)
Simos MA, Makris C.
europepmc   +1 more source