The role of natural-language processing in multimedia

1995 ◽  
Vol 27 (4) ◽  
pp. 587-589 ◽  
Author(s):  
Sharon Flank
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing

scholarly journals Reasoning about Quantities in Natural Language

2015 ◽  
Vol 3 ◽  
pp. 1-13 ◽  
Author(s):  
Subhro Roy ◽  
Tim Vieira ◽  
Dan Roth
Keyword(s):  
Elementary School ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Computational Approach ◽  
Quantitative Reasoning ◽  
Language Understanding ◽  
Numerical Reasoning ◽  
Key Steps

Little work from the Natural Language Processing community has targeted the role of quantities in Natural Language Understanding. This paper takes some key steps towards facilitating reasoning about quantities expressed in natural language. We investigate two different tasks of numerical reasoning. First, we consider Quantity Entailment, a new task formulated to understand the role of quantities in general textual inference tasks. Second, we consider the problem of automatically understanding and solving elementary school math word problems. In order to address these quantitative reasoning problems we first develop a computational approach which we show to successfully recognize and normalize textual expressions of quantities. We then use these capabilities to further develop algorithms to assist reasoning in the context of the aforementioned tasks.

scholarly journals An Emerging Role of Chatbot in Businesses as a Novel Interactive Tool

2019 ◽  
Vol 7 (2) ◽  
pp. 36-39
Author(s):  
T. Venkat Narayana Rao et al.
Keyword(s):  
Artificial Intelligence ◽  
Natural Language Processing ◽  
Natural Language ◽  
Customer Service ◽  
Language Processing ◽  
Machine Language ◽  
Business Sector ◽  
Business People ◽  
History Of

Chatbot enables the business people to reach their target customers using popular messenger apps like Facebook, Whatsapp etc. Chatbots are not handled by humans directly. Nowadays, Chatbots are becoming very popular especially in business sector by reducing the human efforts and automated customer service. It is a software which interacts with user using natural language processing, Machine Language and Artificial Intelligence. They allow users to simply ask questions which would simulate interaction with the humans. The popular and well known chatbots are Alex and Siri. This paper focus on review of chatbot, history of chatbot and its implementation along with applications.

Alternative Ways for Knowledge Collection, Indexing and Robust Language Retrieval

1998 ◽  
Vol 37 (04/05) ◽  
pp. 315-326 ◽  
Author(s):  
C. Lovis ◽  
A.-M. Rassinoux ◽  
J.-R. Scherrer ◽  
R. H. Baud
Keyword(s):  
Natural Language Processing ◽  
Knowledge Representation ◽  
Natural Language ◽  
Language Processing ◽  
Building Blocks ◽  
Linguistic Knowledge ◽  
Recent Experience ◽  
Medical Texts ◽  
Natural Components

AbstractDefinitions are provided of the key entities in knowledge representation for Natural Language Processing (NLP). Starting from the words, which are the natural components of any sentence, both the role of expressions and the decomposition of words into their parts are emphasized. This leads to the notion of concepts, which are either primitive or composite depending on the model where they are created. The problem of finding the most adequate degree of granularity for a concept is studied. From this reflection on basic Natural Language Processing components, four categories of linguistic knowledge are recognized, that are considered to be the building blocks of a Medical Linguistic Knowledge Base (MLKB). Following on the tracks of a recent experience in building a natural language-based patient encoding browser, a robust method for conceptual indexing and query of medical texts is presented with particular attention to the scheme of knowledge representation.

scholarly journals Epidemiology of angina pectoris: Role of natural language processing of the medical record

2007 ◽  
Vol 153 (4) ◽  
pp. 666-673 ◽  
Author(s):  
Serguei S.V. Pakhomov ◽  
Harry Hemingway ◽  
Susan A. Weston ◽  
Steven J. Jacobsen ◽  
Richard Rodeheffer ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Angina Pectoris ◽  
Natural Language ◽  
Medical Record ◽  
Language Processing

scholarly journals Foundational ontologies meet ontology matching: A survey

Semantic Web ◽  
2021 ◽  
pp. 1-20
Author(s):  
Cassia Trojahn ◽  
Renata Vieira ◽  
Daniela Schmidt ◽  
Adam Pease ◽  
Giancarlo Guizzardi
Keyword(s):  
Machine Learning ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Reference Model ◽  
Research Area ◽  
Ontology Matching ◽  
The Future

Ontology matching is a research area aimed at finding ways to make different ontologies interoperable. Solutions to the problem have been proposed from different disciplines, including databases, natural language processing, and machine learning. The role of foundational ontologies for ontology matching is an important one, as they provide a well-founded reference model that can be shared across domains. It is multifaceted and with room for development. This paper presents an overview of the different tasks involved in ontology matching that consider foundational ontologies. We discuss the strengths and weaknesses of existing proposals and highlight the challenges to be addressed in the future.

Sign in / Sign up

Export Citation Format

Share Document