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Provides a high-level synthesis of the main embedding techniques in NLP, in the broad sense. The book starts by explaining conventional word vector sp...Savoir plus
Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language as input,...Savoir plus
Thanks to the availability of texts on the Web in recent years, increased knowledge and information have been made available to broader audiences. How...Savoir plus
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in response to a query. Although the most common formulation ...Savoir plus
Addresses methodological questions that include the problems of validity, reliability, and significance. In the case of machine learning, these corres...Savoir plus
This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Languag...Savoir plus
Natural language processing (NLP) went through a profound transformation in the mid-1980s when it shifted to make heavy use of corpora and data-driven...Savoir plus
It has been estimated that over a billion people are using or learning English as a second or foreign language, and the numbers are growing not only f...Savoir plus
This book covers the topic of temporal tagging, the detection of temporal expressions and the normalization of their semantics to some standard format...Savoir plus
This book provides a thorough introduction to the subfield of theoretical computer science known as grammatical inference from a computational linguis...Savoir plus
The field of narrative (or story) understanding and generation is one of the oldest in natural language processing (NLP) and artificial intelligence (...Savoir plus
In recent years, online social networking has revolutionized interpersonal communication. The newer research on language analysis in social media has ...Savoir plus
This book presents a taxonomy framework and survey of methods relevant to explaining the decisions and analyzing the inner workings of Natural Languag...Savoir plus
Provides a comprehensive description of the specific problems arising in cross-language information retrieval (CLIR), the solutions proposed in this a...Savoir plus
Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from wri...Savoir plus
Data-driven experimental analysis has become the main evaluation tool of Natural Language Processing (NLP) algorithms. In fact, in the last decade, it...Savoir plus
Search for information is no longer exclusively limited within the native language of the user, but is more and more extended to other languages. This...Savoir plus
This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background inform...Savoir plus
Weighted finite-state transducers (WFSTs) are commonly used by engineers and computational linguists for processing and generating speech and text. Th...Savoir plus
Discourse Processing here is framed as marking up a text with structural descriptions on several levels, which can serve to support many language-proc...Savoir plus
The majority of natural language processing (NLP) is English language processing, and while there is good language technology support for (standard va...Savoir plus
People make sense of a text by identifying the semantic relations which connect the entities or concepts described by that text. A system which aspire...Savoir plus
Many NLP tasks have at their core a subtask of extracting the dependencies--who did what to whom--from natural language sentences. This task can be un...Savoir plus
Many applications within natural language processing involve performing text-to-text transformations, i.e., given a text in natural language as input,...Savoir plus