Neural network methods in natural language processing (Record no. 172591)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01392 a2200217 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240427150308.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240425b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783031010378 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | GOL-N |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Goldberg, Yoav |
| 245 ## - TITLE STATEMENT | |
| Title | Neural network methods in natural language processing |
| Statement of responsibility, etc | by Yoav Goldberg |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | New york : |
| Name of publisher, distributor, etc | Springer, |
| Date of publication, distribution, etc | ©2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 287 p. : |
| Other physical details | col. ill. ; |
| Dimensions | 23 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Synthesis Lectures on Human Language Technologies |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Title | Learning Basics and Linear Models From Linear Models to Multi-layer Perceptrons Feed-forward Neural Networks Neural Network Training Features for Textual Data Case Studies of NLP Features From Textual Features to Inputs Language Modeling Pre-trained Word Representations Using Word Embeddings Case Study: A Feed-forward Architecture for Sentence Case Study: A Feed-forward Architecture for Sentence Meaning Inference Ngram Detectors: Convolutional Neural Networks Recurrent Neural Networks: Modeling Sequences and Stacks Concrete Recurrent Neural Network Architectures Modeling with Recurrent Networks Conditioned Generation Modeling Trees with Recursive Neural Networks Structured Output Prediction Cascaded, Multi-task and Semi-supervised Learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computational linguistics |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Bill No. | Bill Date | Cost, normal purchase price | PO No. | PO Date | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Vendor/Supplier | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Computer Science and Engineering | IIITD | IIITD | Reference | 24/04/2024 | TB158 | 2024-03-30 | 3648.55 | Email-29-03-2024 | 2024-03-29 | CB 006.3 GOL-N | 012929 | 07/05/2024 | €59.99 | 24/04/2024 | Technical Bureau India Pvt. Ltd. | Books | DBT Project Grant |