Comp. Linguistics | Ch 10: Sentence Meaning: Compositional Semantics and Semantic Roles | Video

Video corrections and clarifications: 02:40 — A semantic role is the part a participant plays in an event, regardless of grammatical position. Subject/object are grammatical functions; agent/patient are semantic roles (textbook p.170). 04:00 — No vino nadie means “Nobody came”: ¬∃x(person(x) ∧ came(x)). Replace “¬(He came).” The two negative words express one negation (textbook p.173). 04:40 — To obtain the same canonical event record, normalize both predicate fields to bake (agent: chef; patient: cake). In the passive sentence, baked is the predicate and by the chef is the agent span; by is not part of the predicate (textbook pp.170–171). The original video is unchanged. These notes follow sampled visual checks against the textbook. Narration was not reviewed. Chapter 10: Sentence Meaning: Compositional Semantics and Semantic Roles Foundations of Computational Linguistics: For EFL University Students Video lesson • Printed textbook pages 165–181 Sentence meaning depends on both its words and their arrangement. This chapter uses logical forms and semantic roles to represent events, distinguish readings, and test what follows from a statement. Central question: How can the meaning of a sentence be built from its parts and represented in a form that shows who did what, what is denied, and what follows? Learning objectives 1. Explain the principle of compositionality and why idioms and metaphors challenge it. 2. Translate simple sentences into first-order logical forms and check their truth in a small model. 3. Identify semantic roles and label them as spans to build event records from active and passive sentences. 4. Analyze scope ambiguities with negation and quantifiers, and evaluate what an inference benchmark score can show. Five core topics 10.1 Compositionality and Meaning Representation (p. 166) Explain how the meanings of parts combine, and consider why idioms and metaphors challenge a simple compositional account. 10.2 Predicates, Arguments, and Logical Form (p. 167) Build logical forms with predicates, arguments, connectives, and quantifiers, then check them against a small model. 10.3 Semantic Roles and Semantic Role Labeling (p. 169) Identify participants by their roles in an event, keeping roles such as agent and patient distinct from grammatical subjects and objects. 10.4 Negation, Quantification, and Scope (p. 172) Trace the scope of negation and quantifiers to distinguish readings that may share the same sentence structure. 10.5 Inference and Natural Language Inference (p. 174) Distinguish entailment, contradiction, and neutrality, and examine why a high inference-test score can conceal shortcut strategies. Study with the textbook Read pages 165–181, review this chapter companion, and attempt the activities before checking the explained answers. Refer to the book for exact examples, calculations, diagrams, notation, and qualifications. Free textbook: https://zenodo.org/records/23095075 Textbook DOI: https://doi.org/10.5281/zenodo.23095075 Chapter resources: https://sites.google.com/view/els4efl... ELS4EFL series website: https://sites.google.com/view/els4efl... YouTube channel:    / @elsforefl   About the textbook Series: English Language Studies for EFL University Students (ELS4EFL) Branch: Theoretical Linguistics Project Director: Prof. Munassir Alhamami First Edition | Version 1 | 2026 Citation Alhamami, M. (2026). Foundations of computational linguistics: For EFL university students (First Edition, Version 1). Zenodo. https://doi.org/10.5281/zenodo.23095075 This is an AI-generated study companion created with Gemini Notebook (NotebookLM) from the textbook. Consult the book for complete teaching, practice activities, and explained answers. Original textbook content is licensed under CC BY 4.0 except where otherwise stated. Material credited to other sources remains subject to its stated terms. Chapter and topic headings follow the textbook; the study explanations in this description are supplementary adaptations. https://creativecommons.org/licenses/... #ComputationalLinguistics #NLP #EFL