132 citations · 196 across the 20 of their papers we have counts for
4 papers · 1 filter
EASE: Entity-Aware Contrastive Learning of Sentence Embedding
Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada +2
We present EASE, a novel method for learning sentence embeddings via contrastive learning between sentences and their related entities. The advantage of using entity supervision is…
Viable Threat on News Reading: Generating Biased News Using Natural Language Models
Saurabh Gupta, Huy H. Nguyen, Junichi Yamagishi +1
Recent advancements in natural language generation has raised serious concerns. High-performance language models are widely used for language generation tasks because they are able…
Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection
David Ifeoluwa Adelani, Haotian Mai, Fuming Fang +3
Advanced neural language models (NLMs) are widely used in sequence generation tasks because they are able to produce fluent and meaningful sentences. They can also be used to gener…
Identifying Computer-Translated Paragraphs using Coherence Features
Hoang-Quoc Nguyen-Son, Ngoc-Dung T. Tieu, Huy H. Nguyen +2
We have developed a method for extracting the coherence features from a paragraph by matching similar words in its sentences. We conducted an experiment with a parallel German corp…