While reinforcement learning has achieved remarkable successes in several domains, its
real-world application is limited due to many methods failing to generalise to unfamiliar …

Multi-modal knowledge graphs (MMKGs) combine different modal data (eg, text and image)
for a comprehensive understanding of entities. Despite the recent progress of large-scale …

Cross-Lingual Summarization (CLS) aims at generating summaries in one language for the
given documents in another language. CLS has attracted wide research attention due to its …

Pre-trained language models are the cornerstone of modern natural language processing
and information retrieval. However, fine-tuning all the parameters reduces the efficiency of …

Large pretrained language models (PLM) have become de facto news encoders in modern
news recommender systems, due to their strong ability in comprehending textual content …

Domain transfer is a prevalent challenge in modern neural Information Retrieval (IR). To
overcome this problem, previous research has utilized domain-specific manual annotations …

自然语言处理导论 Page 1 Draft 自然语言处理导论 张奇桂韬黄萱菁 February 15, 2022 Page 2
目录 目录 ii 1 绪论 1 1.1 拟定章节. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 2 语言模型 3 2.1 语言 …

Recommender systems stand out as a prime example of machine learning's success,
designed to ease the decision-making process for users by automatically suggesting items …

Reinforcement learning (RL) is a widely-used method for training agents to interact with an
external environment, and is commonly used in fields such as robotics. While RL has …