CHAPTER 9 Flashcards
(14 cards)
Natural Language Processing (NLP) operates in two
primary domains
- Massive Management of Textual Information
Sources - Person/Machine Interaction
Massive management of textual information sources
➢ Organizing, analyzing, and presenting text data for human
consumption.
➢ Main task:
➢ Machine Translation (MT)
➢ Information Retrieval (IR)
➢ Question Answering (Q&A)
➢ Information Extraction (IE)
➢ Summarization
………….process of translating a text from a source language to a target language preserving some
properties
Machine Translation
T/F The main property to preserve (but not the only one) is the meaning
T
……………..Searching large text corpora for relevant information.
➢ The Input:
1. A collection of documents
2. The Web
3. A user need represented as a query
➢ The Output:
1. The documents of the collection that satisfy the user
7 needs.
Information Retrieval
T/F QA systems need to use NLP techniques for both
processing the question and looking for the answer.
T
T/F A QA system receives a query expressed in NL and tries to provide not a document containing the answer but the proper answer (usually a fact).
………….is a reductive transformation of a source text into a summary text by extraction or generation.
summary
……………..Looks for the relevant parts of a
document and produce a summary of them.
Automatic summarization
…………….Extracting useful information from free text.
Example:
✓ Named Entity Recognition (NER)
✓ Named Entity Classification (NEC)
✓ Both tasks together (NERC)
✓ Slot Filling
✓ Relation Extractio
Information Extraction
……………Aims to improve communication and the overall user experience with machines by making interactions more natural, human-like, and efficient.
Person/machine Interaction
……………Holding meaningful conversations (e.g., chatbots, virtual assistants).
Dialog Systems
……………Converting spoken language to text.
Speech Recognition
