Papers by Linrui Zhang

2 papers
Affect inTweets: A Transfer Learning Approach (2020.lrec-1)

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Challenge: Existing machine learning models require considerable effort to design task specific features to understand affectual states of people.
Approach: They propose a transfer-learning based approach to infer the affectual state of a person from tweets.
Outcome: The proposed model ranks 2nd, 4th and 6th in four of the four subtasks on SemEval-2018 task 1: Affect in Tweets.
Chinese Relation Classification using Long Short Term Memory Networks (L18-1)

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Challenge: Relation classification is the task to predict semantic relations between pairs of entities in a given text.
Approach: They propose to extract relations between entities in Chinese text using a long-term memory network.
Outcome: The proposed system achieves state-of-the-art F-measure on ACE 2005 corpus . it predicts relations between head entity e h and tail entity t from sentence .

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