A5023749697- Topic Modeling
- Speech and dialogue systems
- AI in Service Interactions
- Multi-Agent Systems and Negotiation
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Solidification and crystal growth phenomena
- Force Microscopy Techniques and Applications
- High-Velocity Impact and Material Behavior
- Software Engineering Research
- Iron and Steelmaking Processes
- Advanced Text Analysis Techniques
- Metallurgical Processes and Thermodynamics
- Service-Oriented Architecture and Web Services
- Material Properties and Failure Mechanisms
- Biomedical Text Mining and Ontologies
Northeastern University
2023
Pohang University of Science and Technology
2005-2015
University at Buffalo, State University of New York
1989
AbstractAbstractSubsurface hook formation during initial solidification in the continuous casting mould degrades quality of steel slabs owing to associated entrapment argon bubbles and non-metallic inclusions. To minimise depth improve slab quality, extensive plant experiments were performed analysed quantify effect parameters on characteristics using no. 2-1 caster at POSCO Gwangyang Works, Korea. The results reveal that meniscus heat flux plays an important role controlling...
Summary: POSBIOTM–NER is a trainable biomedical named-entity recognition system. can be automatically trained and adapted to new datasets without performance degradation, using CRF (conditional random field) machine learning techniques automatic linguistic feature analysis. Currently, we have our system on three different datasets. GENIA–NER was based GENIA Corpus, GENE–NER BioCreative data GPCR–NER own POSBIOTM/NE corpus, respectively, which would used in GPCR-related pathway extraction.
This paper presents a new hybrid dialog management framework that integrates statistical ranking algorithm into an example-based approach for chat-like dialogs. The proposed model uses features consider various aspects of dialogs, including the relative importance speech acts, history sequences, and causal relationships among acts slot-filling states. enables one to aggregate these feature scores systematically generate diverse system responses. Additionally, provides detailed feedback by...
The effect of strain rate on the inelastic behavior structural steel under cyclic loading condition is formulated by using endochronic theory plasticity. Analytical results are compared with limited experimental data. Very good agreement observed.
Automatic Item Generation (AIG) is increasingly used to process large amounts of information and scale the demand for computerized testing. Recent work in Artificial Intelligence AIG (aka Natural Question Generation-NQG), states that even newer techniques are short syntactic, semantic, contextual relevance when evaluated qualitatively on small datasets. We confirm this deficiency quantitatively over Additionally, we find human evaluation by Subject Matter Experts (SMEs) conservatively...