What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Linguistics
- Programming language
Emiel Krahmer mostly deals with Artificial intelligence, Linguistics, Perception, Natural language processing and Cognitive psychology.
His biological study focuses on Referring expression generation.
His Perception study combines topics from a wide range of disciplines, such as Expression, Utterance, Eyebrow and Focus.
His studies deal with areas such as Speech recognition, Task and State as well as Natural language processing.
His Cognitive psychology research is multidisciplinary, relying on both Head, Speech perception, Facial expression and Protocol analysis.
His study looks at the relationship between Data science and topics such as Field, which overlap with Natural language generation.
His most cited work include:
- Survey of the state of the art in natural language generation: core tasks, applications and evaluation (320 citations)
- Computational generation of referring expressions: A survey (254 citations)
- The Effects of Visual Beats on Prosodic Prominence: Acoustic Analyses, Auditory Perception and Visual Perception. (221 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Artificial intelligence, Natural language processing, Linguistics, Cognitive psychology and Perception.
His work deals with themes such as Context, Speech recognition and Computer vision, which intersect with Artificial intelligence.
His study in Task extends to Natural language processing with its themes.
His work is dedicated to discovering how Linguistics, Language production are connected with Psycholinguistics and other disciplines.
In the subject of general Cognitive psychology, his work in Set is often linked to Perspective, thereby combining diverse domains of study.
The various areas that Emiel Krahmer examines in his Perception study include Social psychology, Emotional expression, Utterance and Intonation.
He most often published in these fields:
- Artificial intelligence (27.38%)
- Natural language processing (20.19%)
- Linguistics (18.06%)
What were the highlights of his more recent work (between 2018-2021)?
- Cognitive psychology (17.48%)
- Artificial intelligence (27.38%)
- Natural language processing (20.19%)
In recent papers he was focusing on the following fields of study:
His primary areas of study are Cognitive psychology, Artificial intelligence, Natural language processing, Robot and Cancer.
His Cognitive psychology research integrates issues from Language production, Perspective-taking, Rhythm and Affect.
His End-to-end principle, Text generation, Computational model and Natural language generation study are his primary interests in Artificial intelligence.
His research integrates issues of Classifier, Similarity, Task and Variation in his study of Natural language processing.
His biological study spans a wide range of topics, including TUTOR, Gesture, Second language and Human–computer interaction.
His study explores the link between Cancer and topics such as Personalization that cross with problems in Internet privacy, Cancer death and Family medicine.
Between 2018 and 2021, his most popular works were:
- Best practices for the human evaluation of automatically generated text (53 citations)
- Second language tutoring using social robots: a large-scale study (33 citations)
- Neural data-to-text generation: A comparison between pipeline and end-to-end architectures (22 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Linguistics
- Programming language
His main research concerns Cognitive psychology, Natural language generation, Artificial intelligence, Natural language processing and Context.
His Cognitive psychology study integrates concerns from other disciplines, such as Language production, Perspective-taking, Feature selection and Egocentrism.
Emiel Krahmer interconnects Consistency, Data science and Set in the investigation of issues within Natural language generation.
Emiel Krahmer applies his multidisciplinary studies on Artificial intelligence and RDF in his research.
His studies in Natural language processing integrate themes in fields like String and Task.
His study focuses on the intersection of Context and fields such as Event with connections in the field of Gesture.
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