What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- Programming language
- World Wide Web
Lawrence Birnbaum focuses on Information retrieval, Multimedia, Applied artificial intelligence, Narrative and Focus.
His work on Relevance, Semantic search, Web search query and Search analytics as part of general Information retrieval study is frequently linked to Context, bridging the gap between disciplines.
Within one scientific family, Lawrence Birnbaum focuses on topics pertaining to Web page under Semantic search, and may sometimes address concerns connected to Search engine and Phrase search.
His Multimedia research is multidisciplinary, incorporating perspectives in Presentation logic and Presentation.
His research integrates issues of Event and Computer graphics in his study of Applied artificial intelligence.
The concepts of his Artificial intelligence study are interwoven with issues in Class, Space and Theoretical computer science.
His most cited work include:
- The organization of expert systems, a tutorial☆ (219 citations)
- Automatic method and system for formulating and transforming representations of context used by information services (198 citations)
- Information access in context (157 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Information retrieval, Artificial intelligence, World Wide Web, Human–computer interaction and Context.
His research investigates the link between Information retrieval and topics such as Web page that cross with problems in Web search query.
He interconnects Natural language processing, Semantics, Scripting language, Plan and Machine learning in the investigation of issues within Artificial intelligence.
His World Wide Web research integrates issues from Event and Categorization.
His Event research is multidisciplinary, relying on both Data science and Reading.
Lawrence Birnbaum works mostly in the field of Human–computer interaction, limiting it down to topics relating to Narrative and, in certain cases, Multimedia.
He most often published in these fields:
- Information retrieval (21.62%)
- Artificial intelligence (18.92%)
- World Wide Web (17.30%)
What were the highlights of his more recent work (between 2011-2021)?
- Narrative (10.27%)
- Human–computer interaction (15.14%)
- Natural language (6.49%)
In recent papers he was focusing on the following fields of study:
Lawrence Birnbaum mainly focuses on Narrative, Human–computer interaction, Natural language, Ontology and Natural language generation.
His study on Narrative also encompasses disciplines like
- Applied artificial intelligence which connect with Computer graphics and Event,
- Programming language which intersects with area such as Abstraction.
His Human–computer interaction research incorporates themes from Context, Contextual information and Computational journalism.
He is investigating Natural language as part of his inquiry into Natural language processing and Artificial intelligence.
His Artificial intelligence research integrates issues from Machine learning and Common sense.
His Construct study integrates concerns from other disciplines, such as Ranking and Information retrieval.
Between 2011 and 2021, his most popular works were:
- Method and system for assessing relevant properties of work contexts for use by information services (115 citations)
- System and method for using data and angles to automatically generate a narrative story (57 citations)
- System and method for using data and derived features to automatically generate a narrative story (50 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- World Wide Web
Narrative, Applied artificial intelligence, Artificial intelligence, Multimedia and Focus are his primary areas of study.
His work investigates the relationship between Narrative and topics such as Programming language that intersect with problems in Abstraction.
His studies in Artificial intelligence integrate themes in fields like Common sense and Natural language processing.
The concepts of his Natural language processing study are interwoven with issues in Similarity, Relation, Social media, Complement and Semantics.
His work carried out in the field of Multimedia brings together such families of science as Analytics and Data structure.
Focus combines with fields such as Event, A domain, Computer graphics and Engineering drawing in his investigation.
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