The paper introduces LSTM‑Jump, a reinforcement‑learning‑trained LSTM variant that can dynamically skip irrelevant tokens, achieving up to six‑fold speed‑ups over standard sequential LSTMs while maintaining or improving accuracy on various NLP tasks such as sentiment analysis, document classification, and question answering.
This article surveys a wide range of natural language processing libraries—including Python packages like NLTK and spaCy, Java frameworks such as OpenNLP and StanfordNLP, and specialized Chinese tokenizers like IKAnalyzer, ICTCLAS, and FudanNLP—detailing their features, usage, and setup steps for Chinese text analysis.
This tutorial explains how to create, test, and enhance a multi‑platform chatbot using Microsoft Bot Framework, LUIS for natural language processing, and Azure services, guiding beginners from Node.js basics to real‑world bot scenarios.
The article reviews ACL 2016’s tutorial program, summarizing key talks on computer‑aided translation, neural machine translation, semantic sense representation, short‑text understanding, and highlights selected papers on multimodal translation, coverage modeling, and language‑vision grounding, illustrating deep learning’s impact on NLP research.
This article explains how natural language processing stores word meanings as numeric vectors, builds token dictionaries, represents sentences as binary vectors, and uses dot‑product calculations to measure similarity, illustrating concepts with simple examples and highlighting current limitations and future directions.
This tutorial explains how to use IBM's AlchemyLanguage API within the Python‑based Noteable application to convert scanned handwritten notebook pages into searchable, editable text by leveraging concept tagging and taxonomy services on Bluemix.
In a June 28 presentation at Baidu’s 51st Technology Salon, senior NLP researcher Zhao Shiqi showcased Baidu Kaoba—a conversational search tool for college admissions—illustrating how inference‑based rewriting, ellipsis completion, concept clarification and interactive generation enable deep, domain‑specific semantic understanding that he predicts will power future internet services.
