Kathleen Dahlgren

Kathleen Dahlgren
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Main area of research
Natural language & AI

Kathleen Dahlgren is a Principal Scientist and Senior Manager at Nuance as well as an Adjunct Professor of Linguistics at UCLA. Her research interest is in the area of Natural Language & AI.

Kathleen Dahlgren received a Ph.D. in Linguistics from UCLA. Her early interests concerned formal semantics and word meaning. She began working in the area of computational linguistics after a post-doc in Computer Science at UCLA. She taught Linguistics and Artificial Intelligence at the Pitzer College of the Claremont Colleges, and then joined IBM as a Senior Computational Linguist. There she and a research team created a prototype of a natural language understanding system, which was later patented. Her book, Naïve Semantics for Natural Language Understanding (1988), describes some of that work. Over the years she has published papers on various problems of computational linguistics: words sense disambiguation, prepositional phrase attachment, discourse, coherence, anaphora resolution, discourse representation theory and relevance. The research team Dahlgren worked on at IBM spun out to form its own firm, Intelligent Text Processing, to pursue natural language processing. That company achieved a broad, comprehensive treatment of English semantics, parsing, logic, and formal semantics in a prototype. This was productized and marketed by a follow-on company, Cognition Technologies, Inc., which provided a linguistically-based search engine that searched on meaning rather than word strings, as well as a sentiment analyzer. In 2013, Cognition Technologies was purchased by Nuance Communications, Inc.

Selected articles

Managing free text archives with linguistic semantics

What is semantics? How can it help manage the overload of unstructured data? How can it provide high precision along with full recall? Cognition Technologies’

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Natural language query in the molecular biology domain with cognition search

Motivation: With the increasing volume of scientific papers and heterogeneous nomenclature in the biomedical literature, it is apparent that an improvement over standard pattern matching

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Participant and event anaphora in newspaper articles

The ways in which people use anaphoric references in speech and writing have been studied by linguists, psychologists, philosophers, and computer scientists, among others. If

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Natural language query in the biochemistry and molecular biology domains based on cognition search

With the increasing volume of scientific papers and heterogeneous nomenclature in the biomedical literature, it is apparent that an improvement over standard pattern matching available

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Lexical marking and the recovery of discourse structure

In the theory presented here, discourse relations are equated with coherence relations. The relata are taken to be sets of events or entities introduced into

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