Update datasets.

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SemEval-2013 - Word Sense Induction & Disambiguation within an End-User Application

Dataset

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SemEval-2013 - Task #11  site: http://www.cs.york.ac.uk/semeval-2013/task11/

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This dataset is designed for evaluation of subtopic information retrieval.

For details, please refer to our paper:

A. Di Marco, R. Navigli. Clustering and Diversifying Web Search Results

with Graph-Based Word Sense Induction.Computational Linguistics, 39(4), MIT Press, 2013

CONTENTS

This package contains the dataset which consists of 100 topics (all nouns),

each with a list of 64 top-ranking documents.

The topics were selected from the list of ambiguous Wikipedia entries;

i.e., those with "disambiguation" in the title (see

http://en.wikipedia.org/wiki/Wikipedia:Links_to_%28disambiguation%29_pages)

It includes queries of length ranged between 1 and 4 words.

length    queries

 1         40

 2         40

 3         15

 4          5

The 64 snippets associated with each topic were collected from the Google

search engine from the last months of 2012, and they were subsequently annotated with

subtopic relevance judgments.

Files:

 README.txt	This file.

 2010/		This folder contains 100 xml files.

 topics.txt	contains the topics.

 results.txt	contains the search engine ranking of the results.

 subTopics.txt	contains the Wikipedia subTopics of the queries.

 STRel.txt	contains the gold annotations.

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#Format:

==================== FORMAT 2010 =========================

(SemEval-2010 Word Sense Induction & Disambiguation Task #14)

The dataset in the format 2010 consists of 100 files xml, one for each query.

Example of a xml file:

==================== apple.n.xml ========================

<apple.n.23 url="http://trailers.apple.com/trailers/" title="Apple Trailers - iTunes Movie Trailers">

   <TargetSentence>

      View the latest movie trailers for many current and upcoming releases.

      Many trailers are available in high-quality HD, iPod, and iPhone versions.

   </TargetSentence>

</apple.n.23>

==================== FORMAT 2013 =========================

The dataset in the format 2013 consists of two files where each row is terminated by

Linefeed (ASCII 10) and fields are separated by Tab (ASCII 9).

The two files are described below:

==================== topics.txt =========================

It contains topic id and description:

id    description

38    shockwave

39    apache

40    magic

.........

==================== results.txt ========================

It contains result ID (formed by topic ID and search engine rank of

result), URL,  title, and snippet:

ID    url    title    snippet

39.1    http://www.apache.org/    Welcome to The Apache Software Foundation!    Supports the development of a number of open-source software projects,   including the <b>Apache</b> web server. Includes license information, latest news, and   project <b>...</b>

39.2    http://httpd.apache.org/    Welcome! - The Apache HTTP Server Project    The <b>Apache</b> HTTP Server Project is an effort to develop and maintain an open-  source HTTP server for modern operating systems including UNIX and Windows <b>...</b>

39.3    http://www.apachecorp.com/    Apache Corporation : Home    <b>Apache</b> Corporation is an oil and gas exploration and production company with   operations in the United States, Canada, Egypt, the United Kingdom North Sea, <b>...</b>

........

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==================== AUTHORS =============================

Roberto Navigli, Sapienza University of Rome

(navigli@di.uniroma1.it)

Daniele Vannella, Sapienza University of Rome

(vannella@di.uniroma1.it)

==================== CONTACT =============================

Please feel free to get in touch with us for any questions or problems you may have:

 http://groups.google.com/group/semeval-2013-wsi-in-application?hl=en

=============== COPYRIGHT AND LICENSE ====================

This work is licensed under the Creative Commons

Attribution-Noncommercial-Share Alike 3.0 Unported License. To view a

copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

================ ACKNOWLEDGMENTS =========================

The authors gratefully acknowledge the support of the MultiJEDI ERC Starting Grant No. 259234

(http://lcl.uniroma1.it/multijedi) and the CASPUR High-Performance Computing Grant 475/2011.

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id	description

1	polaroid

2	kangaroo

3	shakira

4	kawasaki

5	yellow

6	strongman

7	hud

8	fandango

9	dsl

10	bausch

11	pizza

12	snake

13	queen

14	cerberus

15	equinox

16	marble

17	apple

18	veracruz

19	virgo

20	neptune

21	judas

22	boomerang

23	hoover

24	nickelodeon

25	steam

26	atom

27	lakota

28	ghost

29	apartment

30	chase

31	mannequin

32	pods

33	aetna

34	mustang

35	eros

36	noggin

37	hedonism

38	shockwave

39	apache

40	magic

41	bald_eagle

42	bermuda_triangle

43	monte_carlo

44	iron_man

45	sherlock_holmes

46	trojan_horse

47	poison_ivy

48	ten_commandments

49	flight_93

50	ice_age

51	zero_hour

52	full_moon

53	fort_recovery

54	soul_food

55	mighty_mouse

56	jurassic_park

57	indiana_university

58	heron_island

59	match_point

60	texas_rangers

61	brett_butler

62	courtney_cox

63	jungle_fever

64	blood_work

65	harry_potter

66	guild_wars

67	john_carroll

68	black_planet

69	century_21

70	coyote_ugly

71	mortal_kombat

72	silent_hill

73	stone_cold

74	independence_day

75	lemonade_stand

76	aurora_borealis

77	agent_orange

78	babel_fish

79	far_cry

80	carrot_top

81	the_last_supper

82	romeo_and_juliet

83	medal_of_honor

84	arch_of_triumph

85	dead_or_alive

86	man_in_black

87	heaven_and_hell

88	stand_by_me

89	prince_of_persia

90	billy_the_kid

91	dog_eat_dog

92	sense_and_sensibility

93	soldier_of_fortune

94	one_tree_hill

95	sisters_of_mercy

96	beauty_and_the_beast

97	lord_of_the_flies

98	battle_of_the_bulge

99	the_da_vinci_code

100	the_wizard_of_oz

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