What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- Natural language processing
- Linguistics
Judith L. Klavans mainly investigates Artificial intelligence, Natural language processing, Information retrieval, Automatic summarization and Multi-document summarization.
Judith L. Klavans combines subjects such as Intersection, Relevance and Thesaurus with her study of Artificial intelligence.
Her work in the fields of Natural language processing, such as Parsing, overlaps with other areas such as Function.
Her Information retrieval research integrates issues from Reading and Personalization.
Her Automatic summarization research includes themes of Context, User modeling, Document clustering, Cluster analysis and Similarity.
The study incorporates disciplines such as Event, Document summarization, Document summary and User interface in addition to Multi-document summarization.
Her most cited work include:
- Procedure for quantitatively comparing the syntactic coverage of English grammars (421 citations)
- Tracking and summarizing news on a daily basis with Columbia's Newsblaster (238 citations)
- THE INDEPENDENCE OF SYNTAX AND PHONOLOGY IN CLITICIZATION (185 citations)
What are the main themes of her work throughout her whole career to date?
Her scientific interests lie mostly in Artificial intelligence, Natural language processing, Information retrieval, Automatic summarization and World Wide Web.
She interconnects Linguistics and Speech recognition in the investigation of issues within Artificial intelligence.
Her work on Natural language as part of general Natural language processing research is frequently linked to Information technology, thereby connecting diverse disciplines of science.
Her Information retrieval study integrates concerns from other disciplines, such as Computational linguistics, Metadata, Text mining and Identification.
Her Automatic summarization study incorporates themes from Feature, Relevance and Cluster analysis.
Her The Internet and Information access study in the realm of World Wide Web connects with subjects such as Digital library and Research center.
She most often published in these fields:
- Artificial intelligence (47.48%)
- Natural language processing (45.32%)
- Information retrieval (40.29%)
What were the highlights of her more recent work (between 2005-2020)?
- Artificial intelligence (47.48%)
- Information retrieval (40.29%)
- Natural language processing (45.32%)
In recent papers she was focusing on the following fields of study:
Artificial intelligence, Information retrieval, Natural language processing, Metadata and Computational linguistics are her primary areas of study.
Her work on Learning theory expands to the thematically related Artificial intelligence.
Judith L. Klavans studies Information retrieval, namely Automatic summarization.
Her studies in Natural language processing integrate themes in fields like Linguistics and Vocabulary.
The concepts of her Metadata study are interwoven with issues in Subject access, Subject and Thesaurus.
Her Computational linguistics study combines topics from a wide range of disciplines, such as Text mining and Text processing.
Between 2005 and 2020, her most popular works were:
- Successful Response Starts with a Map: Improving Geospatial Support for Disaster Management (94 citations)
- Rapid understanding of scientific paper collections: Integrating statistics, text analytics, and visualization (75 citations)
- Measuring Variability in Sentence Ordering for News Summarization (24 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- Programming language
- Linguistics
Her primary areas of investigation include Information retrieval, Artificial intelligence, World Wide Web, Categorization and Visualization.
Her research on Information retrieval focuses in particular on Automatic summarization.
Her Artificial intelligence study frequently draws connections between adjacent fields such as Natural language processing.
Her study in the field of Natural language also crosses realms of Set.
Judith L. Klavans focuses mostly in the field of World Wide Web, narrowing it down to matters related to Statistics and, in some cases, Text mining.
Her studies deal with areas such as Metadata, Identification, Computational linguistics, Resource and Thesaurus as well as Categorization.
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