Ann Copestake

Last updated

Ann Copestake
Born
Ann Alicia Copestake
Alma mater
Scientific career
Fields Computational linguistics [1]
Institutions
Thesis The representation of lexical semantic information  (1992)
Doctoral advisor Gerald Gazdar
Website www.cl.cam.ac.uk/~aac10

Ann Alicia Copestake is professor of computational linguistics and head of the Department of Computer Science and Technology at the University of Cambridge [1] [2] [3] [4] and a fellow of Wolfson College, Cambridge. [5]

Contents

Education

Copestake was educated at the University of Cambridge where she was awarded a Bachelor of Arts degree in Natural Sciences. After two years working for Unilever Research she completed the Cambridge Diploma in Computer Science. She went on to study at the University of Sussex where she was awarded a PhD in 1992 for research on lexical semantics supervised by Gerald Gazdar. [6] [2]

Career and research

Copestake started doing research in Natural language processing and Computational Linguistics at the University of Cambridge in 1985. [2] Since then she has been a visiting researcher at Xerox PARC (1993/4) and the University of Stuttgart (1994/5). From July 1994 to October 2000 she worked at the Center for the Study of Language and Information (CSLI) at Stanford University, as a Senior Researcher. Copestake was appointed a University Lecturer at Cambridge in October 2000. [2]

In the UK, her research has been funded by the Engineering and Physical Sciences Research Council (EPSRC) and Arts and Humanities Research Council (AHRC). [7] According to Google Scholar [1] and Scopus [3] her most cited publications include papers on minimal recursion semantics, [8] multiword expressions, [9] polysemy, [10] named-entity recognition [11] and feature structure grammars. [12]

Related Research Articles

<span class="mw-page-title-main">Semantics</span> Study of meaning in language

Semantics is the study of reference, meaning, or truth. The term can be used to refer to subfields of several distinct disciplines, including philosophy, linguistics and computer science.

Polysemy is the capacity for a sign to have multiple related meanings. For example, a word can have several word senses. Polysemy is distinct from monosemy, where a word has a single meaning.

Head-driven phrase structure grammar (HPSG) is a highly lexicalized, constraint-based grammar developed by Carl Pollard and Ivan Sag. It is a type of phrase structure grammar, as opposed to a dependency grammar, and it is the immediate successor to generalized phrase structure grammar. HPSG draws from other fields such as computer science and uses Ferdinand de Saussure's notion of the sign. It uses a uniform formalism and is organized in a modular way which makes it attractive for natural language processing.

<span class="mw-page-title-main">Department of Computer Science and Technology, University of Cambridge</span> Computer science division at the University of Cambridge

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<span class="mw-page-title-main">Samson Abramsky</span> British computer scientist

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Construction grammar is a family of theories within the field of cognitive linguistics which posit that constructions, or learned pairings of linguistic patterns with meanings, are the fundamental building blocks of human language. Constructions include words, morphemes, fixed expressions and idioms, and abstract grammatical rules such as the passive voice or the ditransitive. Any linguistic pattern is considered to be a construction as long as some aspect of its form or its meaning cannot be predicted from its component parts, or from other constructions that are recognized to exist. In construction grammar, every utterance is understood to be a combination of multiple different constructions, which together specify its precise meaning and form.

Gerald James Michael Gazdar, FBA is a British linguist and computer scientist.

<span class="mw-page-title-main">Gordon Plotkin</span> Computer Scientist

Gordon David Plotkin, is a theoretical computer scientist in the School of Informatics at the University of Edinburgh. Plotkin is probably best known for his introduction of structural operational semantics (SOS) and his work on denotational semantics. In particular, his notes on A Structural Approach to Operational Semantics were very influential. He has contributed to many other areas of computer science.

In linguistics, a semantic field is a lexical set of words grouped semantically that refers to a specific subject. The term is also used in anthropology, computational semiotics, and technical exegesis.

Computational semantics is the study of how to automate the process of constructing and reasoning with meaning representations of natural language expressions. It consequently plays an important role in natural-language processing and computational linguistics.

Beryl T. "Sue" Atkins was a British lexicographer, specialising in computational lexicography, who pioneered the creation of bilingual dictionaries from corpus data.

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Michael Spivey is a British computer scientist at the University of Oxford.

A multiword expression (MWE), also called phraseme, is a lexeme-like unit made up of a sequence of two or more lexemes that has properties that are not predictable from the properties of the individual lexemes or their normal mode of combination. MWEs differ from lexemes in that the latter are required by many sources to have meaning that cannot be derived from the meaning of separate components. While MWEs must have some properties that cannot be derived from the same property of the components, the property in question does not need to be meaning.

Deep Linguistic Processing with HPSG - INitiative (DELPH-IN) is a collaboration where computational linguists worldwide develop natural language processing tools for deep linguistic processing of human language. The goal of DELPH-IN is to combine linguistic and statistical processing methods in order to computationally understand the meaning of texts and utterances.

Minimal recursion semantics (MRS) is a framework for computational semantics. It can be implemented in typed feature structure formalisms such as head-driven phrase structure grammar and lexical functional grammar. It is suitable for computational language parsing and natural language generation. MRS enables a simple formulation of the grammatical constraints on lexical and phrasal semantics, including the principles of semantic composition. This technique is used in machine translation.

Mary Dalrymple, FBA is a professor of syntax at Oxford University. At Oxford, she is a fellow of Linacre College. Prior to that she was a lecturer in linguistics at King's College London, a senior member of the research staff at the Palo Alto Research Center in the Natural Language Theory and Technology group and a computer scientist at SRI International.

Martha (Stone) Palmer is an American computer scientist. She is best known for her work on verb semantics, and for the creation of ontological resources such as PropBank and VerbNet.

Mona Talat Diab is a computer science professor and director of Carnegie Mellon University's Language Technologies Institute. Previously, she was a professor at George Washington University and a research scientist with Facebook AI. Her research focuses on natural language processing, computational linguistics, cross lingual/multilingual processing, computational socio-pragmatics, Arabic language processing, and applied machine learning.

John Jeffrey Lowe is an indologist and an associate professor of sanskrit at the Wolfson College, University of Oxford. He is also a faculty member at the Faculty of Oriental Studies, Oxford, specialising in Indo-Iranian historical philology and Sanskrit grammar. He is currently in charge of and coordinating the LINGUINDIC project under the European Research Council, as its Principal Investigator, at Oxford.

References

  1. 1 2 3 Ann Copestake publications indexed by Google Scholar
  2. 1 2 3 4 "Ann Copestake homepage". Cambridge: University of Cambridge. Archived from the original on 25 April 2015.
  3. 1 2 Ann Copestake's publications indexed by the Scopus bibliographic database. (subscription required)
  4. "Ann Copestake – Computer Laboratory, University of Cambridge". VideoLectures.NET.
  5. "Professor Ann Copestake MA DPhil, Wolfson College, Cambridge". Cambridge: University of Cambridge. Archived from the original on 17 September 2015.
  6. Copestake, Ann Alicia (1992). The representation of lexical semantic information (PDF) (DPhil thesis). University of Sussex. OCLC   39162903. Archived from the original (PDF) on 29 April 2015.
  7. "UK Government grants awarded to Ann Copestake". Swindon: Research Councils UK. Archived from the original on 23 November 2015.
  8. Copestake, Ann; Flickinger, Dan; Pollard, Carl; Sag, Ivan A. (2005). "Minimal Recursion Semantics: An Introduction". Research on Language and Computation. 3 (2–3): 281–332. doi:10.1007/s11168-006-6327-9. ISSN   1570-7075. S2CID   5271395.
  9. Sag, Ivan A.; Baldwin, Timothy; Bond, Francis; Copestake, Ann; Flickinger, Dan (2002). "Multiword Expressions: A Pain in the Neck for NLP". Computational Linguistics and Intelligent Text Processing. Lecture Notes in Computer Science. Vol. 2276. pp. 1–15. CiteSeerX   10.1.1.19.3644 . doi:10.1007/3-540-45715-1_1. ISBN   978-3-540-43219-7. ISSN   0302-9743. S2CID   1826481.
  10. Copestake, Ann; Briscoe, Ted (1995). "Semi-productive Polysemy and Sense Extension". Journal of Semantics . 12 (1): 15–67. CiteSeerX   10.1.1.42.2016 . doi:10.1093/jos/12.1.15. ISSN   0167-5133.
  11. Corbett, Peter; Copestake, Ann (2008). "Cascaded classifiers for confidence-based chemical named entity recognition". BMC Bioinformatics. 9 (Suppl 11): S4. doi: 10.1186/1471-2105-9-S11-S4 . PMC   2586753 . PMID   19025690. Open Access logo PLoS transparent.svg
  12. Copestake, Anne (2001). Implementing Typed Feature Structure Grammars. Cambridge University Press. p. 244. ISBN   9781575862606.