Tag Computation and Language
The field of natural language generation (NLG) continues to evolve, aiming to create more human-like and coherent responses in spoken dialogue systems. One promising approach is sequence-to-sequence generation, which leverages deep syntax trees to produce high-quality natural language strings. In… Continue Reading →
Word embeddings have revolutionized various natural language processing tasks by transforming words into dense vector representations, capturing the semantic and syntactic relationships between them. A recent research article titled “Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction” by… Continue Reading →
Can machines ask engaging and natural questions about an image? This research article titled “Generating Natural Questions About an Image” dives into the fascinating world of Visual Question Generation (VQG). Authored by Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell,… Continue Reading →
Have you ever wondered how people judge the formality, informativeness, and implicature of a sentence? It might sound like a daunting task, but researchers are making great strides in understanding these linguistic variables. In this article, we delve into the… Continue Reading →
Word2vec, developed by Tomas Mikolov and his colleagues, has garnered significant attention in recent years for its cutting-edge word embeddings. The research papers describing the learning models behind the word2vec software, however, have often been criticized for their cryptic nature… Continue Reading →
Understanding the intricacies of language has always been a challenging task for machines. However, recent advancements in Natural Language Processing (NLP) have brought us closer to a breakthrough. In 2023, a significant research paper titled “Distributed Representations of Words and… Continue Reading →
Singapore English (SgE) is a fascinating linguistic phenomenon that has been extensively studied due to its unique characteristics and its emergence as a distinct variety of English spoken in Singapore. Previous research has highlighted the presence of specific segmental and… Continue Reading →
Temporal information plays a crucial role in understanding language and its context. It allows us to discern the order of events, track developments, and unravel the intricacies behind phenomena recorded in natural language. To make sense of this temporal information,… Continue Reading →