Statistical Language and Speech Processing : 8th International Conference, SLSP 2020, Cardiff, UK, October 14-16, 2020, Proceedings (Lecture Notes in Artificial Intelligence)

個数:

Statistical Language and Speech Processing : 8th International Conference, SLSP 2020, Cardiff, UK, October 14-16, 2020, Proceedings (Lecture Notes in Artificial Intelligence)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 183 p.
  • 言語 ENG
  • 商品コード 9783030594299

Full Description

This book constitutes the proceedings of the 8th International Conference on Statistical Language and Speech Processing, SLSP 2020, held in Cardiff, UK, in October 2020.
The 13 full papers presented together with one invited paper in this volume were carefully reviewed and selected from 25 submissions. They papers cover the wide spectrum of statistical methods that are currently in use in computational language or speech processing.

Contents

Grapheme-to-Phoneme Transduction for Cross-Language ASR.- Language Processing.-Conditioned Text Generation with Transfer for Closed-Domain Dialogue Systems.- FacTweet: Profiling Fake News Twitter Accounts.- Named Entity Recognition for Icelandic: Annotated Corpus and Models.- BERT-based Sentiment Analysis using Distillation.- A Cognitive Approach to Parsing with Neural Networks.- S-capade: Spelling Correction Aimed at Particularly Deviant Errors.- Exploring Parameter Sharing Techniques for Cross-Lingual and Cross-Task Supervision.- A Discourse-Informed Approach for Cost-E ective Extractive Summarization.- Towards eXplainable AI in Text Features Engineering for Concept Recognition.- A Comparison of Metric Learning Loss Functions for End-To-End Speaker Verification.- ANN-MLP Classifier of Native and Nonnative Speakers Using Speech Rhythm Cues.- Deep Variational Metric Learning for Transfer of Expressivity in Multispeaker Text to Speech.- Generative Adversarial Network-based Semi-Supervised Learning for Pathological Speech Classfication.

最近チェックした商品