Results 21 to 30 of about 195,991 (305)

Natural language processing: an introduction [PDF]

Journal of the American Medical Informatics Association, 2011
To provide an overview and tutorial of natural language processing (NLP) and modern NLP-system design.This tutorial targets the medical informatics generalist who has limited acquaintance with the principles behind NLP and/or limited knowledge of the current state of the art.We describe the historical evolution of NLP, and summarize common NLP sub ...
Prakash M, Nadkarni, Lucila, Ohno-Machado, Wendy W, Chapman   +2 more
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Language Invariant Properties in Natural Language Processing

Proceedings of NLP Power! The First Workshop on Efficient Benchmarking in NLP, 2022
Meaning is context-dependent, but many properties of language (should) remain the same even if we transform the context. For example, sentiment, entailment, or speaker properties should be the same in a translation and original of a text. We introduce language invariant properties: i.e., properties that should not change when we transform text, and how
Bianchi, Federico, Nozza, Debora, Hovy, Dirk   +2 more
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Multiview Fusion Using Transformer Model for Recommender Systems: Integrating the Utility Matrix and Textual Sources

Applied Sciences, 2023
Recommender systems are challenged with providing accurate recommendations that meet the diverse preferences of users. The main information sources for these systems are the utility matrix and textual sources, such as item descriptions, users’ reviews ...
Thi-Linh Ho, Anh-Cuong Le, Dinh-Hong Vu
doaj   +1 more source

Cross-Lingual Sentence Summarization System Based on Contrastive Attention Mechanism [PDF]

Jisuanji gongcheng, 2020
Nowadays,research in sentence summarization mainly focuses on monolingual materials,which means the source sentences and the target summarized phrases are in the same language,reducing the availability of information from texts in different languages.To ...
YIN Mingming, SHI Xiaojing, YU Hongfei, DUAN Xiangyu
doaj   +1 more source

Putting Natural in Natural Language Processing

Findings of the Association for Computational Linguistics: ACL 2023, 2023
Human language is firstly spoken and only secondarily written. Text, however, is a very convenient and efficient representation of language, and modern civilization has made it ubiquitous. Thus the field of NLP has overwhelmingly focused on processing written rather than spoken language.
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Language processing in the natural world [PDF]

Philosophical Transactions of the Royal Society B: Biological Sciences, 2007
Abstract The authors argue that a more complete understanding of how people produce and comprehend language will require investigating real-time spoken-language processing in natural tasks, including those that require goal-oriented unscripted conversation.
Michael K, Tanenhaus, Sarah, Brown-Schmidt   +1 more
openaire   +2 more sources

Exploring Bi-Directional Context for Improved Chatbot Response Generation Using Deep Reinforcement Learning

Applied Sciences, 2023
The development of conversational agents that can generate relevant and meaningful replies is a challenging task in the field of natural language processing.
Quoc-Dai Luong Tran, Anh-Cuong Le
doaj   +1 more source

Research on sentence alignment based on modeling word pairs [PDF]

Jisuanji gongcheng, 2019
Sentence alignment is a process mapping sentences in the source text to their counterparts in the target text.Within the framework of neural network,this paper proposes a sentence alignment method,on the basis that the aligned source sentence and target ...
DING Ying,LI Junhui,ZHOU Guodong
doaj   +1 more source

An Efficient Deep Learning for Thai Sentiment Analysis

Data, 2023
The number of reviews from customers on travel websites and platforms is quickly increasing. They provide people with the ability to write reviews about their experience with respect to service quality, location, room, and cleanliness, thereby helping ...
Nattawat Khamphakdee, Pusadee Seresangtakul   +1 more
doaj   +1 more source

Tonal Contour Generation for Isarn Speech Synthesis Using Deep Learning and Sampling-Based F₀ Representation

Applied Sciences, 2020
The modeling of fundamental frequency (F0) in speech synthesis is a critical factor affecting the intelligibility and naturalness of synthesized speech. In this paper, we focus on improving the modeling of F0 for Isarn speech synthesis. We propose the F0
Pongsathon Janyoi, Pusadee Seresangtakul
doaj   +1 more source