Papers by Xiangyang Mou
TVShowGuess: Character Comprehension in Stories as Speaker Guessing (2022.naacl-main)
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| Challenge: | Our proposed task, TVShowGuess, builds on the scripts of TV series and takes the form of guessing the anonymous main characters based on the backgrounds of the scenes and the dialogues. |
| Approach: | They propose a task that takes the form of guessing the anonymous main characters based on the backgrounds of the scenes and the dialogues. |
| Outcome: | The proposed models outperform baselines, yet lag behind human performance. |
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study (2021.tacl-1)
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| Challenge: | Recent advances in open-domain question answering (ODQA) have led to human-level performance on many datasets. |
| Approach: | They provide a comprehensive and quantitative analysis about the difficulty of book QA . they compare the results of their research with extensive ODQA experiments . |
| Outcome: | The proposed model outperforms existing models on event-oriented questions on the NarrativeQA dataset. |
Complementary Evidence Identification in Open-Domain Question Answering (2021.eacl-main)
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| Challenge: | Existing approaches to QA that only measure the relevance between the question and each paragraph are not effective. |
| Approach: | They propose a method that learns vector representations of passages and models the sufficiency and diversity within the selected set, in addition to the relevance between the question and passages. |
| Outcome: | The proposed method significantly improves the accuracy of complementary evidence selection in open-domain question answering domain. |
MBTI Personality Prediction for Fictional Characters Using Movie Scripts (2022.findings-emnlp)
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| Challenge: | Existing NLP models cannot predict character's personality types based on text classifications . character comprehension is the cornerstone of understanding stories in psychology and education. |
| Approach: | They propose a benchmark to predict movie character's MBTI or Big 5 personality types based on the narratives of the character. |
| Outcome: | The proposed model outperforms existing models in the task and is more accurate than random guesses. |