Retrieving and reading: A comprehensive survey on open-domain question answering
Open-domain Question Answering (OpenQA) is an important task in Natural Language
Processing (NLP), which aims to answer a question in the form of natural language based …
Processing (NLP), which aims to answer a question in the form of natural language based …
Continual learning of large language models: A comprehensive survey
The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …
general datasets has sparked numerous research directions and applications. One such …
BERT post-training for review reading comprehension and aspect-based sentiment analysis
Question-answering plays an important role in e-commerce as it allows potential customers
to actively seek crucial information about products or services to help their purchase …
to actively seek crucial information about products or services to help their purchase …
[BOOK][B] Principles of distributed database systems
MT Özsu, P Valduriez - 1999 - Springer
The first edition of this book appeared in 1991 when the technology was new and there were
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …
not too many products. In the Preface to the first edition, we had quoted Michael Stonebraker …
Sparse, dense, and attentional representations for text retrieval
Dual encoders perform retrieval by encoding documents and queries into dense low-
dimensional vectors, scoring each document by its inner product with the query. We …
dimensional vectors, scoring each document by its inner product with the query. We …
Open information extraction from the web
Open information extraction from the web Page 1 68 communications of the acm | december
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …
2008 | vol. 51 | no. 12 review articles will build systems that fuse relevant pieces of …
Unsupervised named-entity extraction from the web: An experimental study
The KnowItAll system aims to automate the tedious process of extracting large collections of
facts (eg, names of scientists or politicians) from the Web in an unsupervised, domain …
facts (eg, names of scientists or politicians) from the Web in an unsupervised, domain …
[BOOK][B] Mining the Web: Discovering knowledge from hypertext data
S Chakrabarti - 2002 - books.google.com
Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted
entirely to techniques for producing knowledge from the vast body of unstructured Web data …
entirely to techniques for producing knowledge from the vast body of unstructured Web data …
R3: Reinforced Ranker-Reader for Open-Domain Question Answering
In recent years researchers have achieved considerable success applying neural network
methods to question answering (QA). These approaches have achieved state of the art …
methods to question answering (QA). These approaches have achieved state of the art …
[BOOK][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …