Complex NLP Tasks

Chapter 39: Dialogue Systems Task-oriented and open-domain dialogue Models: BlenderBot, DialoGPT, multimodal dialogue [Slot filling, response ranking, coherence modeling, persona-based dialogue] References Chapter 40: Text Summarization Extractive, abstractive, and query-focused summarization Models: PEGASUS, BART, Longformer [ROUGE optimization, faithfulness metrics, multi-document summarization] References Chapter 41: Question Answering Reading comprehension, open-domain QA, conversational QA Models: RAG, Dense Passage Retrieval, FiD [Contextual QA, multi-hop reasoning, answer span prediction] References Chapter 42: Semantic Parsing Text-to-SQL, intent detection, logical form generation Applications: Knowledge base querying, API interaction [AMR (Abstract Meaning Representation), SPARQL, slot-based parsing] References Chapter 43: Text Generation and Reasoning Narrative generation, commonsense reasoning, argument mining Applications: Storytelling, debate systems [Chain-of-thought prompting, knowledge-grounded generation, logical consistency] References