Results 31 to 40 of about 1,312,358 (341)
Journal of Information Science Theory and Practice, 2015 Evaluation of retrieval systems is mostly limited to laboratory settings and rarely considers changes of performance over time. This article presents an evaluation of retrieval systems for internal Web site search systems between the years 2006 and 2011.
Mandl, Thomas +2 more
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Enhancing Conversational Model With Deep Reinforcement Learning and Adversarial Learning
IEEE Access, 2023 This paper develops a Chatbot conversational model that is aimed to achieve two goals: 1) utilizing contextual information to generate accurate and relevant responses, and 2) implementing strategies to make conversations human-like.
Quoc-Dai Luong Tran +2 more
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Distributional Measures of Semantic Abstraction
Frontiers in Artificial Intelligence, 2022 This article provides an in-depth study of distributional measures for distinguishing between degrees of semantic abstraction. Abstraction is considered a “central construct in cognitive science” (Barsalou, 2003) and a “process of information reduction ...
Sabine Schulte im Walde +1 more
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Sentiment Analysis for Thai Language in Hotel Domain Using Machine Learning Algorithms
Acta Informatica Pragensia, 2021 Sentiment analysis is one of the most frequently used aspects of Natural Language Processing (NLP), which utilizes the polarity classification of reviews expressed at the aspect, sentence or document level.
Nattawat Khamphakdee +1 more
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Software Infrastructure for Natural Language Processing
, 1997 We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering.
Cunningham, Hamish +3 more
core +4 more sources
Research on Neural Semantic Analysis Method for Multi-language Input [PDF]
Jisuanji gongcheng, 2019 The semantic analysis of multi-language to semantic expressions is to take multiple semantically equivalent different language sentences as input and parse them into corresponding semantic expressions.Under the framework of neural network coding-decoding,
CHAI Qiang,LI Junhui,KONG Fang,ZHOU Guodong
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Quantifying Uncertainties in Natural Language Processing Tasks
, 2018 Reliable uncertainty quantification is a first step towards building explainable, transparent, and accountable artificial intelligent systems. Recent progress in Bayesian deep learning has made such quantification realizable.
Wang, William Yang, Xiao, Yijun
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Visual Execution and Data Visualisation in Natural Language Processing [PDF]
, 1997 We describe GGI, a visual system that allows the user to execute an automatically generated data flow graph containing code modules that perform natural language processing tasks. These code modules operate on text documents.
Cunningham, Hamish +3 more
core +2 more sources
Molecular Oncology, EarlyView.Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura +19 more
wiley +1 more source
Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
The Scientific World Journal, 2014 This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label
Ling Zhu, Derek F. Wong, Lidia S. Chao
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