Coreference: Fundamentals and Applications
By Fouad Sabry
()
About this ebook
What Is Coreference
Coreference, also spelled co-reference, is a concept in linguistics that describes the situation in which two or more phrases refer to the same person or object; in other words, they share the same referent. As an illustration, in the sentence "Bill said Alice would arrive soon, and she did," the words "Alice" and "she" refer to the same individual.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Coreference
Chapter 2: Pronoun
Chapter 3: Antecedent (grammar)
Chapter 4: Anaphora (linguistics)
Chapter 5: Binding (linguistics)
Chapter 6: C-command
Chapter 7: Referent
Chapter 8: Personal pronoun
Chapter 9: Cataphora
Chapter 10: Generic antecedent
(II) Answering the public top questions about coreference.
(III) Real world examples for the usage of coreference in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of coreference' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of coreference.
Read more from Fouad Sabry
Related to Coreference
Titles in the series (100)
Restricted Boltzmann Machine: Fundamentals and Applications for Unlocking the Hidden Layers of Artificial Intelligence Rating: 0 out of 5 stars0 ratingsRadial Basis Networks: Fundamentals and Applications for The Activation Functions of Artificial Neural Networks Rating: 0 out of 5 stars0 ratingsArtificial Neural Networks: Fundamentals and Applications for Decoding the Mysteries of Neural Computation Rating: 0 out of 5 stars0 ratingsCompetitive Learning: Fundamentals and Applications for Reinforcement Learning through Competition Rating: 0 out of 5 stars0 ratingsFeedforward Neural Networks: Fundamentals and Applications for The Architecture of Thinking Machines and Neural Webs Rating: 0 out of 5 stars0 ratingsPerceptrons: Fundamentals and Applications for The Neural Building Block Rating: 0 out of 5 stars0 ratingsFuzzy Logic: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsLong Short Term Memory: Fundamentals and Applications for Sequence Prediction Rating: 0 out of 5 stars0 ratingsNouvelle Artificial Intelligence: Fundamentals and Applications for Producing Robots With Intelligence Levels Similar to Insects Rating: 0 out of 5 stars0 ratingsConvolutional Neural Networks: Fundamentals and Applications for Analyzing Visual Imagery Rating: 0 out of 5 stars0 ratingsNaive Bayes Classifier: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsBio Inspired Computing: Fundamentals and Applications for Biological Inspiration in the Digital World Rating: 0 out of 5 stars0 ratingsAttractor Networks: Fundamentals and Applications in Computational Neuroscience Rating: 0 out of 5 stars0 ratingsKernel Methods: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsLogic: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsMultilayer Perceptron: Fundamentals and Applications for Decoding Neural Networks Rating: 0 out of 5 stars0 ratingsAlternating Decision Tree: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsRecurrent Neural Networks: Fundamentals and Applications from Simple to Gated Architectures Rating: 0 out of 5 stars0 ratingsHebbian Learning: Fundamentals and Applications for Uniting Memory and Learning Rating: 0 out of 5 stars0 ratingsStatistical Classification: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsHybrid Neural Networks: Fundamentals and Applications for Interacting Biological Neural Networks with Artificial Neuronal Models Rating: 0 out of 5 stars0 ratingsSubsumption Architecture: Fundamentals and Applications for Behavior Based Robotics and Reactive Control Rating: 0 out of 5 stars0 ratingsEmbodied Cognition: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsSituated Artificial Intelligence: Fundamentals and Applications for Integrating Intelligence With Action Rating: 0 out of 5 stars0 ratingsBackpropagation: Fundamentals and Applications for Preparing Data for Training in Deep Learning Rating: 0 out of 5 stars0 ratingsHopfield Networks: Fundamentals and Applications of The Neural Network That Stores Memories Rating: 0 out of 5 stars0 ratingsNeuroevolution: Fundamentals and Applications for Surpassing Human Intelligence with Neuroevolution Rating: 0 out of 5 stars0 ratingsArtificial Immune Systems: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsGroup Method of Data Handling: Fundamentals and Applications for Predictive Modeling and Data Analysis Rating: 0 out of 5 stars0 ratingsArtificial Intelligence Systems Integration: Fundamentals and Applications Rating: 0 out of 5 stars0 ratings
Related ebooks
Review Your Grammar and Ace Exams Rating: 0 out of 5 stars0 ratingsWord Study and English Grammar A Primer of Information about Words, Their Relations and Their Uses Rating: 2 out of 5 stars2/5Prototext-metatext translation shifts: A model with examples based on Bible translation Rating: 0 out of 5 stars0 ratingsWord Study and English Grammar: A Primer of Information about Words, Their Relations and Their Uses Rating: 0 out of 5 stars0 ratingsCompound Words: Typographic Technical Series for Apprentices #36 Rating: 0 out of 5 stars0 ratings100 Words Every High School Graduate Should Know Rating: 3 out of 5 stars3/5Semantic Modeling In Formal English Rating: 0 out of 5 stars0 ratingsThe American Heritage Dictionary of Idioms: American English Idiomatic Expressions & Phrases Rating: 5 out of 5 stars5/5GRE Words In Context: List 1 Rating: 0 out of 5 stars0 ratingsA Sentence Diagramming Primer: The Reed & Kellogg System Step-By-Step Rating: 0 out of 5 stars0 ratingsLinguistic modality in Shakespeare Troilus and Cressida: A casa study Rating: 0 out of 5 stars0 ratingsPhrasal Verbs Rating: 1 out of 5 stars1/5Comprehensive English Grammar Guide: From Basics to Competitive Excellence Rating: 0 out of 5 stars0 ratingsAn English Grammar Rating: 0 out of 5 stars0 ratingsNew Testament Greek Syntax Laminated Sheet Rating: 5 out of 5 stars5/5Division of Words: Rules for the Division of Words at the Ends of Lines, with Remarks on Spelling, Syllabication and Pronunciation Rating: 0 out of 5 stars0 ratingsWhat Is Meaning? Rating: 3 out of 5 stars3/5English for Academic Correspondence and Socializing Rating: 0 out of 5 stars0 ratingsConventions of (American) English Rating: 0 out of 5 stars0 ratings100 Words Almost Everyone Mixes Up or Mangles Rating: 4 out of 5 stars4/5Concepts: Contemporary and Historical Perspectives: ProtoSociology Volume 30 Rating: 0 out of 5 stars0 ratingsMeaning and Necessity - A Study in Semantics and Modal Logic Rating: 0 out of 5 stars0 ratingsFluent Calculus: Fundamentals and Applications Rating: 0 out of 5 stars0 ratingsUnderstanding Grammatical Names and Functions Rating: 4 out of 5 stars4/5Chinese-English/English-Chinese (Mandarin) Practical Dictionary Rating: 0 out of 5 stars0 ratingsComputational Paralinguistics: Emotion, Affect and Personality in Speech and Language Processing Rating: 0 out of 5 stars0 ratingsOn the Evolution of Language Rating: 0 out of 5 stars0 ratingsAdvanced English Grammar with Exercises Rating: 2 out of 5 stars2/5
Intelligence (AI) & Semantics For You
Summary of Super-Intelligence From Nick Bostrom Rating: 4 out of 5 stars4/5Nexus: A Brief History of Information Networks from the Stone Age to AI Rating: 4 out of 5 stars4/5Mastering ChatGPT: 21 Prompts Templates for Effortless Writing Rating: 4 out of 5 stars4/5Midjourney Mastery - The Ultimate Handbook of Prompts Rating: 5 out of 5 stars5/5ChatGPT For Dummies Rating: 4 out of 5 stars4/5The Secrets of ChatGPT Prompt Engineering for Non-Developers Rating: 5 out of 5 stars5/5Artificial Intelligence: A Guide for Thinking Humans Rating: 4 out of 5 stars4/5Coding with AI For Dummies Rating: 0 out of 5 stars0 ratingsChatGPT For Fiction Writing: AI for Authors Rating: 5 out of 5 stars5/5Chat-GPT Income Ideas: Pioneering Monetization Concepts Utilizing Conversational AI for Profitable Ventures Rating: 3 out of 5 stars3/52084: Artificial Intelligence and the Future of Humanity Rating: 4 out of 5 stars4/5Co-Intelligence: Living and Working with AI Rating: 4 out of 5 stars4/5Creating Online Courses with ChatGPT | A Step-by-Step Guide with Prompt Templates Rating: 4 out of 5 stars4/5The Roadmap to AI Mastery: A Guide to Building and Scaling Projects Rating: 3 out of 5 stars3/5ChatGPT Millionaire: Work From Home and Make Money Online, Tons of Business Models to Choose from Rating: 5 out of 5 stars5/5Enterprise AI For Dummies Rating: 3 out of 5 stars3/5101 Midjourney Prompt Secrets Rating: 3 out of 5 stars3/5Dark Aeon: Transhumanism and the War Against Humanity Rating: 5 out of 5 stars5/5Killer ChatGPT Prompts: Harness the Power of AI for Success and Profit Rating: 2 out of 5 stars2/5Our Final Invention: Artificial Intelligence and the End of the Human Era Rating: 4 out of 5 stars4/5
Reviews for Coreference
0 ratings0 reviews
Book preview
Coreference - Fouad Sabry
Chapter 1: Coreference
When two or more phrases have the same referent, a phenomenon known as coreference occurs in the field of linguistics. When used together, Alice
and she
refer to the same person; for instance, Bill said Alice would come shortly, and she did.
.
Finding a co-reference might be difficult. If Bill claimed he was going to show up, for instance, he may not be referring to Bill. Identifying coreferences is a crucial step in analyzing or comprehending a text, but it often necessitates background knowledge from outside the text, such as the propensity of certain names (like Rover
) to be associated with specific types of organisms, types of objects (like Titanic
), grammatical genders, or other properties.
Coreference is often recorded by linguists using indices, as in Billi said hei would come.
It is claimed that such phrases are coindexed, signifying that they are to be understood in a coreferential sense.
The initial occurrence of a coreferential expression is often the most complete or descriptive form (such as a full personal name, sometimes with a title and role), whereas subsequent occurrences are typically the abbreviated variants (for example, just a given name, surname, or pronoun). The term antecedent
is used to describe the first instance, whereas proform,
anaphor,
and reference
are all terms for the second instance. But pronouns may sometimes indicate ahead of time, as in Alice went to sleep when she got home.
The coreference in such a circumstance is said to be cataphoric, as opposed to anaphoric.
In the study of syntax, coreference plays a significant role in binding events. Syntactic link between coreferential statements in sentences and texts is investigated by the theory of binding.
Anaphora, cataphora, split antecedents, coreferring noun phrases, etc. are only some of the many types of coreference that may be distinguished. Several of these more particular occurrences are shown in this example:
Anaphora
a.
The musici was so loud that iti couldn't be enjoyed.
The statement to which the anaphor refers comes right after the anaphor (its antecedent).
b.
Our neighborsi dislike the music.
If theyi are angry, The police are on their way.
- The statement to which the anaphor they refers comes just after the anaphor (its antecedent).
Cataphora
a.
If theyi are angry about the music, the neighborsi will call the cops.
They're a cataphor that comes before the phrase it modifies (its postcedent).
b.
Despite heri difficulty, Wilmai came to understand the point.
Her is a cataphor, therefore it comes before the phrase it modifies (its postcedent)
Split antecedents
a.
Caroli told Bobi to attend the party.
Theyi arrived together.
- The antecedent of the anaphoric they is divided, using Carol and Bob interchangeably.
b.
When Caroli helps Bobi and Bobi helps Caroli, theyi can accomplish any task.
- The antecedent of the anaphoric they is divided, using Carol and Bob interchangeably.
Coreferring noun phrases
a.
The project leaderi is refusing to help.
The jerki thinks only of himself.
Word Pairs With Corresponding Nouns, the first noun phrase being predicated on by the second.
b.
Some of our colleagues1 are going to be supportive.
These kinds of people1 will earn our gratitude.
Word Pairs With Corresponding Nouns, the first noun phrase being predicated on by the second.
Experts in semantics and logic occasionally differentiate between coreference and a bound variable.
Every studenti has received hisi grade.
A bound variable is a word like his,
for instance.
No studenti was upset with hisi grade.
– The pronoun his is an example of a bound variable
Expressions with numbers, such as every student
and no student,
are not taken as references. Although they have singleton grammatical constructions, these phrases do not identify unique concepts in the conversation or the reality. Therefore, in these cases, the antecedents of his are not correct referents. Instead, it is a variable that is constrained by what it refers to. Its meaning changes depending on which student in the discourse community is being considered. Perhaps the following example will make the presence of bounded variables more clear::
Only Jacki likes hisi grade.
Bound variables include the pronoun his.
This phrase lacks clarity. Either everyone except Jack is unhappy with their own grade, or everyone except Jack is happy with Jack's grade. His is coreferential in the first sense, and a bound variable in the second, as its reference ranges across the whole student body.
Both situations often use the usage of coindex notation. In other words, it is not obvious from the coindexing of two or more phrases whether coreference or a bound variable is at play (or as in the last example, whether it depends on interpretation).
Coreference resolution is a well-studied discourse topic in the field of computer linguistics. Properly attributing pronouns and other forms of referring expressions is essential for deducing the accurate meaning of a text or simply for gauging the relative significance of the numerous things stated. Coreference resolution algorithms often begin by locating the most immediate antecedent that is consistent with the referring phrase. For instance, she may attach herself to a pronoun like the lady
or Anne,
but Bill
is less likely to catch her attention. The use of pronouns like himself
is significantly limited. There is a compromise must be made between accuracy and recall in many language activities. Several mutual information-based approaches, as well as the Rand index and the corrected Rand index, are used to measure cluster quality while evaluating coreference resolution procedures.
The English pronoun it
presents a unique challenge for coreference resolution due to its several meanings. Like the pronouns he and she, it may refer to people, although it most often refers to inanimate things (the rules are actually more complex: