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University of Sheffield, NLP
Efficient Named Entity Annotation
through Pre-empting
Leon Дзержинский
Kalina Bontcheva
University of Sheffield, NLP
Crowdsourcing in science – is not new
Citizen science, from early 19th century, 60,000 – 80,000 yearly volunteers
Sir Francis Galton, “VOX POPULI”Francis Galton
University of Sheffield, NLP
Crowdsourcing as an effective paradigm
●
Researchers “enjoy” annotating
●
… which makes it expensive
●
Many documents are inefficient to annotate
University of Sheffield, NLP
What is Crowdsourcing?
• Crowdsourcing is an emerging collaborative approach for acquiring
annotated corpora and a wide range of other linguistic resources
• Three main kinds of crowdsourcing platforms
• paid-for marketplaces such as Amazon Mechanical Turk (AMT)
and CrowdFlower (CF)
• games with a purpose
• volunteer-based platforms such as crowdcrafting
• NLP researchers are increasingly using crowdsourcing as a novel,
collaborative approach for obtaining linguistically annotated corpora
University of Sheffield, NLP
Example: CF Instructions
University of Sheffield, NLP
Example: CF Marking Locations in tweets
University of Sheffield, NLP
Example: CF Locations selected
University of Sheffield, NLP
Example 2: Entity Linking Annotation in CF
University of Sheffield, NLP
How to do it: The Easy Way
• Download and use the GATE Crowdsourcing plugin
• https://gate.ac.uk/wiki/crowdsourcing.html
• Transforms automatically texts with GATE annotations into CF jobs
• Generates the CF User Interface (based on templates)
• Researcher then checks and runs the project in CF
• On completion, the plugin automatically imports the results back into
GATE, aligning sentences and representing the multiple annotators
University of Sheffield, NLP
GATE Crowdsourcing Overview (1)
• Choose a job builder
– Classification
– Sequence Selection
• Configure the corresponding
user interface and provide the
task instructions
University of Sheffield, NLP
GATE Crowdsourcing Overview (2)
• Pre-process the corpus with
TwitIE/ANNIE, e.g.
– Tokenisation
– POS tagging
– Sentence splitting
– NE recognition
• Create automatically the
target annotations and any
dynamic values required for
classification
• Execute the job builder to
upload units to CF
automatically
University of Sheffield, NLP
Configure and execute the job in CF
Gold data units can also be uploaded from GATE, so CF controls quality
University of Sheffield, NLP
Automatic CF Import into GATE
• Each CF judgement is imported back as a separate annotation
with some metadata
• Adjudication can happen automatically (e.g. majority vote
and/or trust-based) or manually (Annotation Stack editor)
• The resulting corpus is ready to use for experiments or can be
exported out of GATE as XML/XCES
University of Sheffield, NLP
Side effect
Medium-size corpus,
and a...
University of Sheffield, NLP
How can this cost be reduced?
University of Sheffield, NLP
How can this cost be reduced?
●
Introduce determinism
●
Hypothesis: do entity-bearing sentences improve NER performance?
●
Features:
●
Character n-grams
●
Word shape n-grams
●
Token n-grams
●
Pretty good!
University of Sheffield, NLP
Can we predict entities?
●
Baselines:
●
1. Random
●
2. All proper nouns = entities
●
Classifiers:
●
Maxent
●
SVM
●
Cost-weighted SVM
University of Sheffield, NLP
Can we predict entities?
University of Sheffield, NLP
Validating the results: again
●
Saving money through ML?
●
A bit too good to be true.. or is it
●
Compare hand-labelled pre-empted to hand-labelled random
University of Sheffield, NLP
Cross-lingual investigation
●
English is a bit boring
●
How about something else?
University of Sheffield, NLP
Cross-lingual investigation
●
English is a bit boring
●
germanic; non-germanic; morphologically rich
●
Entity prediction universally great!
University of Sheffield, NLP
Cross-lingual investigation
●
This looks good! But how about extrinsic results?
●
Does this help NER?
University of Sheffield, NLP
Building a cropus
●
Let's try building a corpus
●
Social media:
●
high variation
●
Insufficient diversity in NLP researchers (“KKTNY in 45min...”)
●
Does our hypothesis apply in this text type?
University of Sheffield, NLP
Building a cropus
●
Can we pre-empt in tweets as well?
University of Sheffield, NLP
Building a cropus
●
Let's try and get greedy – can we do this per-type?
●
Entity classifications tend to be arbitrary
University of Sheffield, NLP
Which features are useful?
●
Feature ablation
University of Sheffield, NLP
Which features are useful?
●
Highest-weighted features
www.ucomp.eu | www.chistera.eu
@uCompEU
GWAP Use CaseGWAP Use Case
Language Quiz
www.twitter.com/uCompEU
www.ucomp.eu | www.chistera.eu
@uCompEU
Language QuizLanguage Quiz
• Provide an open API to enable partners to send news
tasks to the game (or crowdflower)
• The game supports various task types (at launch:
multiple choice questions and sentiment detection)
• Players receive points through correct answers in the
game
• The correct answers will be determined by majority
vote, after enough answers have been collected
• Each month the highscores will be reseted and a
monthly winner is determined
• Players are able to invite their friends, compete against
them and receive bonus points through their activity
www.ucomp.eu | www.chistera.eu
@uCompEU
Language QuizLanguage Quiz
University of Sheffield, NLP
Thank you for your time!
Leon Derczynski
Kalina Bontcheva
This was part of the uComp
project (www.ucomp.eu). uComp receives the
funding support of EPSRC EP/K017896/1, FWF
1097-N23, and ANR-12-CHRI-0003-03, in the
framework of the CHIST-ERA ERA-NET.

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Efficient named entity annotation through pre-empting

  • 1. University of Sheffield, NLP Efficient Named Entity Annotation through Pre-empting Leon Дзержинский Kalina Bontcheva
  • 2. University of Sheffield, NLP Crowdsourcing in science – is not new Citizen science, from early 19th century, 60,000 – 80,000 yearly volunteers Sir Francis Galton, “VOX POPULI”Francis Galton
  • 3. University of Sheffield, NLP Crowdsourcing as an effective paradigm ● Researchers “enjoy” annotating ● … which makes it expensive ● Many documents are inefficient to annotate
  • 4. University of Sheffield, NLP What is Crowdsourcing? • Crowdsourcing is an emerging collaborative approach for acquiring annotated corpora and a wide range of other linguistic resources • Three main kinds of crowdsourcing platforms • paid-for marketplaces such as Amazon Mechanical Turk (AMT) and CrowdFlower (CF) • games with a purpose • volunteer-based platforms such as crowdcrafting • NLP researchers are increasingly using crowdsourcing as a novel, collaborative approach for obtaining linguistically annotated corpora
  • 5. University of Sheffield, NLP Example: CF Instructions
  • 6. University of Sheffield, NLP Example: CF Marking Locations in tweets
  • 7. University of Sheffield, NLP Example: CF Locations selected
  • 8. University of Sheffield, NLP Example 2: Entity Linking Annotation in CF
  • 9. University of Sheffield, NLP How to do it: The Easy Way • Download and use the GATE Crowdsourcing plugin • https://gate.ac.uk/wiki/crowdsourcing.html • Transforms automatically texts with GATE annotations into CF jobs • Generates the CF User Interface (based on templates) • Researcher then checks and runs the project in CF • On completion, the plugin automatically imports the results back into GATE, aligning sentences and representing the multiple annotators
  • 10. University of Sheffield, NLP GATE Crowdsourcing Overview (1) • Choose a job builder – Classification – Sequence Selection • Configure the corresponding user interface and provide the task instructions
  • 11. University of Sheffield, NLP GATE Crowdsourcing Overview (2) • Pre-process the corpus with TwitIE/ANNIE, e.g. – Tokenisation – POS tagging – Sentence splitting – NE recognition • Create automatically the target annotations and any dynamic values required for classification • Execute the job builder to upload units to CF automatically
  • 12. University of Sheffield, NLP Configure and execute the job in CF Gold data units can also be uploaded from GATE, so CF controls quality
  • 13. University of Sheffield, NLP Automatic CF Import into GATE • Each CF judgement is imported back as a separate annotation with some metadata • Adjudication can happen automatically (e.g. majority vote and/or trust-based) or manually (Annotation Stack editor) • The resulting corpus is ready to use for experiments or can be exported out of GATE as XML/XCES
  • 14. University of Sheffield, NLP Side effect Medium-size corpus, and a...
  • 15. University of Sheffield, NLP How can this cost be reduced?
  • 16. University of Sheffield, NLP How can this cost be reduced? ● Introduce determinism ● Hypothesis: do entity-bearing sentences improve NER performance? ● Features: ● Character n-grams ● Word shape n-grams ● Token n-grams ● Pretty good!
  • 17. University of Sheffield, NLP Can we predict entities? ● Baselines: ● 1. Random ● 2. All proper nouns = entities ● Classifiers: ● Maxent ● SVM ● Cost-weighted SVM
  • 18. University of Sheffield, NLP Can we predict entities?
  • 19. University of Sheffield, NLP Validating the results: again ● Saving money through ML? ● A bit too good to be true.. or is it ● Compare hand-labelled pre-empted to hand-labelled random
  • 20. University of Sheffield, NLP Cross-lingual investigation ● English is a bit boring ● How about something else?
  • 21. University of Sheffield, NLP Cross-lingual investigation ● English is a bit boring ● germanic; non-germanic; morphologically rich ● Entity prediction universally great!
  • 22. University of Sheffield, NLP Cross-lingual investigation ● This looks good! But how about extrinsic results? ● Does this help NER?
  • 23. University of Sheffield, NLP Building a cropus ● Let's try building a corpus ● Social media: ● high variation ● Insufficient diversity in NLP researchers (“KKTNY in 45min...”) ● Does our hypothesis apply in this text type?
  • 24. University of Sheffield, NLP Building a cropus ● Can we pre-empt in tweets as well?
  • 25. University of Sheffield, NLP Building a cropus ● Let's try and get greedy – can we do this per-type? ● Entity classifications tend to be arbitrary
  • 26. University of Sheffield, NLP Which features are useful? ● Feature ablation
  • 27. University of Sheffield, NLP Which features are useful? ● Highest-weighted features
  • 28. www.ucomp.eu | www.chistera.eu @uCompEU GWAP Use CaseGWAP Use Case Language Quiz www.twitter.com/uCompEU
  • 29. www.ucomp.eu | www.chistera.eu @uCompEU Language QuizLanguage Quiz • Provide an open API to enable partners to send news tasks to the game (or crowdflower) • The game supports various task types (at launch: multiple choice questions and sentiment detection) • Players receive points through correct answers in the game • The correct answers will be determined by majority vote, after enough answers have been collected • Each month the highscores will be reseted and a monthly winner is determined • Players are able to invite their friends, compete against them and receive bonus points through their activity
  • 31. University of Sheffield, NLP Thank you for your time! Leon Derczynski Kalina Bontcheva This was part of the uComp project (www.ucomp.eu). uComp receives the funding support of EPSRC EP/K017896/1, FWF 1097-N23, and ANR-12-CHRI-0003-03, in the framework of the CHIST-ERA ERA-NET.

Editor's Notes

  • #3: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #4: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #15: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #16: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #17: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #18: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #19: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #20: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #21: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #22: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #23: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #24: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #25: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #26: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #27: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess
  • #28: In fact, already in 1907, Sir Francis Galton, (Darwin‘s cousin, A brilliant Victorian scientist,) has published a Nature article entitled „VOX Populi“ (or the voice of the people, the voice of the crowd), where he discribes his experiment at a lifestock fair: 787 persons were asked to estimate the weight of the ox, and, while none came close to the real value, the mean of the guesses was almost spot-on. Meanwhile, some other societies were using the crowd differently, namely, to support them in gathering scintific data. From the early 19th century, the Aubodon society has been relying on volunteers to count species of local birds. Their campaings continue to this date, and in 2012, volunteers submitted over 100, 000 ch ecklists leading to observations about 623 specied and over 17 million individual birds. These activities are often termed as citizen science. This is not a novel phenomenon Citizen science projects around since the beginning of last century (at least) There is a vast landscape and variety of citizen science projects where scientists call on the public for help - some examples, including from Lora‘s paper (her talk might have some mentions as well) IT enables virtual citizen science projects and this upsurge is a direct consequence of new and improved ways to involve the public into scientifc procecess