What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- World Wide Web
- Programming language
His primary scientific interests are in Information retrieval, Context, Relevance, XML and World Wide Web.
Jaap Kamps has researched Information retrieval in several fields, including XML validation and Document Structure Description.
His multidisciplinary approach integrates Context and Track in his work.
Jaap Kamps combines subjects such as Ranking, Embodied cognition, User interface, Crowdsourcing and Data science with his study of Relevance.
Jaap Kamps usually deals with XML and limits it to topics linked to Point and Rank, Recall, Precision and recall and Arithmetic mean.
Specifically, his work in World Wide Web is concerned with the study of Information needs.
His most cited work include:
- Using WordNet to measure semantic orientations of adjectives (585 citations)
- Neural Ranking Models with Weak Supervision (256 citations)
- Words with attitude (133 citations)
What are the main themes of his work throughout his whole career to date?
Jaap Kamps spends much of his time researching Information retrieval, World Wide Web, Context, Artificial intelligence and Relevance.
His work on Ranking as part of general Information retrieval research is often related to Track, thus linking different fields of science.
World Wide Web is closely attributed to Annotation in his research.
The Artificial intelligence study combines topics in areas such as Machine learning and Natural language processing.
His Natural language processing research is multidisciplinary, incorporating elements of Document retrieval and Multilingualism.
His work on Human–computer information retrieval as part of general Relevance study is frequently linked to Link, bridging the gap between disciplines.
He most often published in these fields:
- Information retrieval (64.41%)
- World Wide Web (25.42%)
- Context (17.43%)
What were the highlights of his more recent work (between 2015-2021)?
- Information retrieval (64.41%)
- World Wide Web (25.42%)
- Artificial intelligence (11.38%)
In recent papers he was focusing on the following fields of study:
His scientific interests lie mostly in Information retrieval, World Wide Web, Artificial intelligence, Context and Set.
Jaap Kamps works in the field of Information retrieval, focusing on Topic model in particular.
His World Wide Web study combines topics in areas such as Exploit and Data science.
The various areas that Jaap Kamps examines in his Artificial intelligence study include Ranking, Machine learning and Natural language processing.
His work deals with themes such as Similarity, Metadata and Structured text, which intersect with Natural language processing.
His Context research incorporates elements of Digital humanities, Sensemaking, Entity linking, Task and Selection.
Between 2015 and 2021, his most popular works were:
- Neural Ranking Models with Weak Supervision (256 citations)
- From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing (76 citations)
- Learning to Learn from Weak Supervision by Full Supervision (35 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- World Wide Web
- Programming language
Jaap Kamps focuses on Artificial intelligence, World Wide Web, Information retrieval, Machine learning and Language model.
The concepts of his Artificial intelligence study are interwoven with issues in Ranking, Feature and Natural language processing.
His World Wide Web research is multidisciplinary, relying on both Context, Point of interest, Point, Exploit and Data science.
His research combines Information needs and Information retrieval.
His study in Language model is interdisciplinary in nature, drawing from both Word and Preference.
His study looks at the relationship between Representation and topics such as Set, which overlap with Ranking.
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