반응형 논문572 [2022-09-03] 오늘의 자연어처리 Searching for Structure in Unfalsifiable Claims Social media platforms give rise to an abundance of posts and comments on every topic imaginable. Many of these posts express opinions on various aspects of society, but their unfalsifiable nature makes them ill-suited to fact-checking pipelines. In this work, we aim to distill such posts into a small set of narratives that capture the essential cl.. 2022. 9. 3. [2022-09-02] 오늘의 자연어처리 Efficient and Interpretable Neural Models for Entity Tracking What would it take for a natural language model to understand a novel, such as The Lord of the Rings? Among other things, such a model must be able to: (a) identify and record new characters (entities) and their attributes as they are introduced in the text, and (b) identify subsequent references to the characters previously introduce.. 2022. 9. 2. [2022-09-01] 오늘의 자연어처리 Efficient and Interpretable Neural Models for Entity Tracking What would it take for a natural language model to understand a novel, such as The Lord of the Rings? Among other things, such a model must be able to: (a) identify and record new characters (entities) and their attributes as they are introduced in the text, and (b) identify subsequent references to the characters previously introduce.. 2022. 9. 1. [2022-09-01] 오늘의 자연어처리 A Spanish dataset for Targeted Sentiment Analysis of political headlines Subjective texts have been studied by several works as they can induce certain behaviours in their users. Most work focuses on user-generated texts in social networks, but some other texts also comprise opinions on certain topics and could influence judgement criteria during political decisions. In this work, we address the.. 2022. 9. 1. 이전 1 ··· 129 130 131 132 133 134 135 ··· 143 다음 반응형