throbber
I, Kelley Hayes Greenhill state and declare as follows:
`
`I.
`
`Introduction
`
`1.
`
`I am currently the Manager of Research & Information Services at Finnegan,
`
`Henderson, Farabow, Garrett & Dunner LLP, 901 New York Avenue NW, Washington, DC
`
`20001-4413.
`
`2.
`
`I am over 18 years of age and am competent to make this Declaration. I make this
`
`Declaration based on my knowledge of library science practices and my own personal
`
`knowledge.
`
`3.
`
`I earned a Master of Science in Library Science (“MSLS”) from the Catholic
`
`University of America in 1995, and a Bachelor of Arts in Political Science from Duquesne
`
`University in 1989. I have worked as a librarian for over twenty-five years. I have been
`
`employed in the Research & Information Services Department at Finnegan, Henderson,
`
`Farabow, Garrett & Dunner since 2019. Before that, from 1995-2015, I was employed in the
`
`Library Department of Sterne Kessler Goldstein & Fox. And from 2015-2019, I was employed
`
`in the Knowledge and Research Services Group (formerly, Information Research Service) at
`
`Northrop Grumman Corporation.
`
`4.
`
`I am a member of the American Association of Law Libraries and a member of
`
`the Law Librarians’ Society of Washington, DC.
`
`II.
`
`Standard Library Practice for Receiving, Cataloging, and Shelving Materials
`
`5.
`
`I have knowledge of and experience with standard library practices regarding
`
`receiving, cataloging, and shelving of materials. For example, I have knowledge of and
`
`experience with the Machine-Readable Cataloging (MARC) system, an industry-wide
`
`standard that libraries use to catalogue materials.
`
`1
`
`Page 1 of 13
`
`GOOGLE EXHIBIT 1008
`
`

`

`6.
`
`Under standard library practice, when a library receives an item, it stamps the
`
`item with the library name and often with a date that is within a few days or weeks of receipt.
`
`The library will catalogue the item within a matter of a few days or weeks of receiving it.
`
`7.
`
`By the mid-1970s, standard library practice involved cataloguing items using the
`
`MARC system. The MARC system was developed in the 1960s to standardize bibliographic
`
`records so they could be read by computers and shared among libraries. By the mid-1970s,
`
`MARC had become the international standard for bibliographic data, and it is still used today.
`
`8.
`
`After an item is catalogued, the public may access the item by searching the
`
`catalogue and requesting the item from the library. Standard library practice is to then shelve the
`
`item within a matter of a few days or weeks of cataloging it.
`
`9.
`
`Given the matter of a few days or weeks between receiving an item and
`
`cataloging it, and the matter of a few days or weeks between cataloging an item and shelving it,
`
`the total time between receiving an item and shelving it is a matter of a couple of weeks or
`
`months.
`
`III. MARC Records
`
`10.
`
`Many libraries provide public access to their MARC records via the Internet
`
`and/or their electronic cataloguing system at the library.
`
`11.
`
`A MARC record contains several standard fields, each of which contains specific
`
`information about the catalogued item. Each field is identified by a unique three-digit “tag”
`
`(from 001-999) that identifies the kind of information that follows.
`
`12.
`
`For example, field 245 lists the title of the work, field 260 lists the publisher
`
`information, field 020 lists the ISBN information, and field 050 lists the corresponding Library
`
`of Congress call number.
`
`2
`
`Page 2 of 13
`
`

`

`13.
`
`The date on which an item is first catalogued is contained in field 008 (i.e., date
`
`entered on file). The first six characters of field 008 are always in the “YYMMDD” format. As
`
`discussed above, the public may access an item after it is catalogued by searching the catalogue
`
`and requesting the item from the library, and standard library practice is to then shelve the item
`
`within a matter of a few days or weeks of cataloging it.
`
`14.
`
`The date and time of latest transaction to the MARC record is reflected in field
`
`005. For example, when a library acquires a new item, it automatically populates field 005 of the
`
`MARC record with the initial date of creation in the “YYYYMMDD” and “HHMMSS” format.
`
`The date in field 005 is then automatically updated by the library’s computer system every time
`
`the library updates the MARC record, for example, to reflect that an item has been moved to a
`
`different shelving location within the library. Thus, the date reflected in field 005 of the MARC
`
`record is necessarily on or after the date that the item was first acquired and catalogued by the
`
`library.
`
`15.
`
`Field 955 contains local tracking information.
`
`IV.
`
`Library Record for Manning
`
`16.
`
`Christopher D. Manning, Hinrich Schütze, “Foundations of Statistical Natural
`
`Language Processing” (MIT Press 1999) was published by MIT Press in May 1999.
`
`17.
`
`Attached hereto as Exhibit A to this Declaration is a true and correct copy of the
`
`bibliographic record of MIT Press for Manning, accessed from
`
`https://mitpress.mit.edu/books/foundations-statistical-natural-language-processing.
`
`18.
`
`Attached hereto as Exhibit B to this Declaration is a true and correct copy of the
`
`bibliographic and MARC records from the University of Wisconsin-Milwaukee for its copy of
`
`Manning.
`
`
`
`3
`
`Page 3 of 13
`
`

`

`19. As shown in Exhibit B, ttrc date field 008 lists the first six characters "990826" in
`
`typical "YYMMDD'' format, indicating iltat Mqnningwas flrst catalogued by the University of
`
`Wisconsin-Milwaukee on August 26, 1999.
`20. The information available from the University of Wisconsin-Milwaukee is
`
`consistent with the book beingpublicly available in 1999.
`V. Conclusion
`21.
`
`I declare under penalty of perjury that the foregoing is true arrd correct. I declare
`
`that all statements made herein of my knowledge are true, and that all statements made on
`
`information and belief are believed to be true, and that these statements were made with the
`
`knowledge that wiltful false statements and the like so made are punishable by fine or
`
`imprisonment, or botb under Section 1001 of Title 18 of the United States Code.
`
`Executed on March 25,2024
`
`Page 4 of 13
`
`

`

`
`
`
`Exhibit A
`
`Exhibit A
`
`Page 5 of 13
`
`Page 5 of 13
`
`

`

`Foundations of Statistical Natural Language Processing | The MIT Press
`
`Search
`
`Home | Computer Science | Theoretical Computer Science |
`Foundations of Statistical Natural Language Processing
`
`Foundations of Statistical
`Natural Language
`Processing
`
`By Christopher Manning and
`Hinrich Schütze
`
`Buying
`Options
`
`Rent
`eTextbook
`
`Request Permissions
`
`Ex
`
`ResourcesSmall Arrow
`
`Overview
`
`Author(s)
`
`Praise
`
`Instructor Resources
`
`Print Exam/Desk Copy
`
`Reader Resources
`
`Sample Chapter
`Preface
`Supplemental Material
`Website
`Index
`
`09
`
`Endorsement
`Small Arrow
`
`Statistical natural-
`language processing is,
`in my estimation, one of
`the most fast-moving
`
`Summary
`Statistical approaches to processing natural language text have become domina
`comprehensive introduction to statistical natural language processing (NLP) to a
`algorithms needed for building NLP tools. It provides broad but rigorous coverag
`as detailed discussion of statistical methods, allowing students and researchers
`
`covers collocation finding, word sense disambiguation, probabilistic parsing, info
`
`
`
`
`
`
`
`
`
`Hardcover
`$115.00 X | £95.00
`ISBN: 9780262133609
`720 pp. | 8 in x 9 in
`May 1999
`
`You might also like
`
`Introduction
`
`https://mitpress.mit.edu/books/foundations-statistical-natural-language-processing[3/24/2020 5:20:04 PM]
`
`Page 6 of 13
`
`

`

`Foundations of Statistical Natural Language Processing | The MIT Press
`
`to Natural
`Language
`Processing
`Jacob
`Eisenstein
`
`Car
`
`Buying Options
`
`and exciting areas of
`computer science these
`days. Anyone who
`wants to learn this field
`would be well advised
`to get this book. For
`that matter, the same
`goes for anyone who is
`already in the field. I
`know that it is going to
`be one of the most well-
`thumbed books on my
`bookshelf.
`
`Eugene
`Charniak, Department of
`Computer Science, Brown
`University
`
`Online Attention
`Small Arrow
`
`Mouseover for Online
`Attention Data
`
`Books
`
`Journals
`
`The MIT
`
`The MIT
`Press
`About
`Bookstore
`Catalogs
`Conferences
`Press Editorial
`
`Site Help
`Accessibility
`FAQ
`How to Order
`Our eBooks
`Privacy Policy
`Terms of Use
`
`Resources
`Current
`Authors
`Prospective
`Authors
`Booksellers
`Instructors
`Media
`
`Digital
`CogNet
`Digital
`Partners and
`Products
`Knowledge
`Futures Group
`MIT Press
`
`https://mitpress.mit.edu/books/foundations-statistical-natural-language-processing[3/24/2020 5:20:04 PM]
`
`Page 7 of 13
`
`

`

`Foundations of Statistical Natural Language Processing | The MIT Press
`Press
`Reader
`
`Podcasts
`
`Board
`Internships
`Jobs
`Location
`Newsletter
`Press
`Management
`Board
`Press News
`Staff
`Give
`
`Direct
`
`Inquiries
`MIT Discounts
`Rights &
`Permissions
`Sales Reps
`
`US
`One Rogers
`Street
`Cambridge,
`MA 02142-
`1209
`
`UK
`Suite 2, 1
`Duchess
`Street
`London,
`W1W 6 AN,
`UK
`
`Contact
`Us
`
`Connect
`facebook
`
`twitter
`
`linkedin
`
`pinterest
`
`glyph-
`logo_May2016
`
`© 2020 The MIT Press
`
`https://mitpress.mit.edu/books/foundations-statistical-natural-language-processing[3/24/2020 5:20:04 PM]
`
`Page 8 of 13
`
`

`

`
`
`
`Exhibit B
`
`Exhibit B
`
`Page 9 of 13
`
`Page 9 of 13
`
`

`

`Search
`
`
`Catalog
`
`
`
`Foundations of statistical natural lang…
`
`
`Foundations of statistical natural language processing
`
`Manning, Christopher D
`
`Save to Lists
`
`Subjects
`Computational linguistics -- Statistical methods.
`
`Content Types
`Statistical methods
`
`Cite/Export
`
`CREATOR
`
`FORMAT
`
`CONTRIBUTORS
`
`PUBLICATION
`
`Christopher D. Manning, Hinrich Schütze
`
`Books
`
`Schütze, Hinrich
`
`Cambridge, Mass. : MIT Press, [1999] ©1999
`
`PHYSICAL DETAILS
`
`xxxvii, 680 pages ; 24 cm
`
`Page 10 of 13
`
` Publication Details
`

`

`ISBNS
`
`OCLC
`
`9780262133609, 0262133601
`
`ocm40848647
`
`Includes bibliographical references (pages 611-655) and index.
`
`MARC Bibliographic Record
`
`LEADER
`
`01112pam a2200337 a 4500
`
`001
`
`005
`
`008
`
`010
`
`015
`
`020
`
`035
`
`035
`
`035
`
`040
`
`049
`
`050
`
`082
`
`100
`
`9947191783602122
`
`20180323024935.0
`
`990826t19991999mau b 001 0 eng
`
`  
`
`  
`
`  
`
`  
`
`  
`
`  
`
`  
`
`  
`
`00
`
`00
`
`1_
`
`$a 99021137
`
`$aGB99-56813
`
`$a0262133601
`
`$a(OCoLC)40848647
`
`$a(WU)4719178-uwmadisondb
`
`$a(EXLNZ-01UWI_NETWORK)999878353202121
`
`$aDLC$beng$cDLC$dUKM
`
`$aGZMA
`
`$aP98.5.S83$bM36 1999
`
`$a410/.285$221
`
`$aManning, Christopher D.
`
`Page 11 of 13
`
` Notes
`

`

`245
`
`10
`
`$aFoundations of statistical natural language
`processing /$cChristopher D. Manning, Hinrich
`Schütze.
`
`264
`
`264
`
`300
`
`336
`
`337
`
`338
`
`504
`
`650
`
`650
`
`700
`
`994
`
`997
`
`_1
`
`_4
`
`  
`
`  
`
`  
`
`  
`
`  
`
`_0
`
`_4
`
`1_
`
`  
`
`  
`
`$aCambridge, Mass. :$bMIT Press,$c[1999]
`
`$c©1999
`
`$axxxvii, 680 pages ;$c24 cm
`
`$atext$btxt$2rdacontent
`
`$aunmediated$bn$2rdamedia
`
`$avolume$bnc$2rdacarrier
`
`$aIncludes bibliographical references (pages 611-
`655) and index.
`
`$aComputational linguistics$xStatistical methods.
`
`$aComputational linguistics$vStatistical methods.
`
`$aSchütze, Hinrich.
`
`$aE0$bGZM
`
`$aMARCIVE
`
`MMS IDs
`Document ID: 999878353202121
`Network Electronic IDs:
`Network Physical IDs: 999878353202121
`mms_mad_ids: 9947191783602122
`mms_ml_ids: 9919414253402124
`
`Physical Availability
`
`Page 12 of 13
`
`

`

` Request a copy from UW System
`
`Memorial Library
`Stacks Regular Size Shelving
`P98.5 S83 M36 1999
`Unavailable for checkout
`Due back May 30, 2020
`
`This Item Is Also Held By
`UW-Milwaukee
`
`Page 13 of 13
`
`

This document is available on Docket Alarm but you must sign up to view it.


Or .

Accessing this document will incur an additional charge of $.

After purchase, you can access this document again without charge.

Accept $ Charge
throbber

Still Working On It

This document is taking longer than usual to download. This can happen if we need to contact the court directly to obtain the document and their servers are running slowly.

Give it another minute or two to complete, and then try the refresh button.

throbber

A few More Minutes ... Still Working

It can take up to 5 minutes for us to download a document if the court servers are running slowly.

Thank you for your continued patience.

This document could not be displayed.

We could not find this document within its docket. Please go back to the docket page and check the link. If that does not work, go back to the docket and refresh it to pull the newest information.

Your account does not support viewing this document.

You need a Paid Account to view this document. Click here to change your account type.

Your account does not support viewing this document.

Set your membership status to view this document.

With a Docket Alarm membership, you'll get a whole lot more, including:

  • Up-to-date information for this case.
  • Email alerts whenever there is an update.
  • Full text search for other cases.
  • Get email alerts whenever a new case matches your search.

Become a Member

One Moment Please

The filing “” is large (MB) and is being downloaded.

Please refresh this page in a few minutes to see if the filing has been downloaded. The filing will also be emailed to you when the download completes.

Your document is on its way!

If you do not receive the document in five minutes, contact support at support@docketalarm.com.

Sealed Document

We are unable to display this document, it may be under a court ordered seal.

If you have proper credentials to access the file, you may proceed directly to the court's system using your government issued username and password.


Access Government Site

We are redirecting you
to a mobile optimized page.





Document Unreadable or Corrupt

Refresh this Document
Go to the Docket

We are unable to display this document.

Refresh this Document
Go to the Docket