Interesting · EMNLP2022 (Findings&CL Papers)
Fantastic Angles, Interesting Tasks
Preview of Interesting Words
- Understand Story, Find SoulMate
- AI Stand-Up Comedian “WANG Jianguo”
- What they once said has meaning, Afraid to be forgotten day by day
- Think Before Write, Smooth and Well
- Paper Review Accelerator
Findings
1. Understand Story, Find SoulMate
MBTI Personality Prediction for Fictional Characters Using Movie Scripts https://arxiv.org/abs/2210.10994
Figure from the paper：
Morpheus, a character from the film series, The Matrix, played by Laurence Fishburne.
NLP may be able to understand a story, but can it also figure out the personality of the characters and find a personality-matching soul mate for you in the story? The results of this paper suggest that it is not easy for existing deep learning models for text classification — not much better than random guessing; the paper proposes a ‘Multi-View’ model for this task, and the results are only marginally better. This certainly sheds new light on building relevant NLP applications: it is a big challenge to identify the personalities of the characters in a story.
2. AI Stand-Up Comedian “WANG Jianguo”
A Unified Framework for Pun Generation with Humor Principles https://arxiv.org/abs/2210.13055
Figure from the paper：
“Pun” is “the usually humorous use of a word in such a way as to suggest two or more of its meanings or the meaning of another word similar in sound”. Yes, did you also think of him (the king of pun — WANG Jianguo)? This work draws on theories related to humour and incorporates three perspectives to build an AI Pun Creator. The three perspectives are ambiguity, distinctiveness and surprise. The work gained good results on the English corpus. However, whether this method is also applicable to Chinese and whether it can beat WANG Jianguo needs to be practised to know the results!
3. What they once said has meaning, Afraid to be forgotten day by day
He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues https://arxiv.org/abs/2210.15462
Figure from the paper：
The textual style shift mentioned here may be different from previous work. The problem addressed in this paper is perspective shifting: transforming the content of a conversation from an informal first-person perspective to a formal third-person perspective text. Such a transformation is challenging: the transformed text has to retain its original meaning, have the correct coreference resolution, take into account the mood of the moment, and also ensure a formal style of language. Perhaps turning discussions in meetings, casual conversations, arguments between lovers (joking), etc. into formal diaries is a promising direction of application.
4. Think Before Write, Smooth and Well
Sequentially Controlled Text Generation https://openreview.net/pdf?id=cMGM38rfl-
Figure from the paper：
In contrast to the large AI model that outputs the next character until the end of an article, this paper advocates that the general structure of an article is conceived before “writing”. Moreover, humans can interactively participate in the AI writing process. Guiding the “writing” of large models in this way can produce more structured, logical and topical articles. So… if I have a decent outline for an Im-Mortal novel in mind, should I let it help me finish the novel?
Image generated by ERNIE-ViLG
CL (Computational Linguistics)
5. Paper Review Accelerator
Revise and Resubmit: An Intertextual Model of Text-based Collaborationin Peer Review https://direct.mit.edu/coli/article/doi/10.1162/coli_a_00455/112555/Revise-and-Resubmit-An-Intertextual-Model-of-Text
Figure from the paper：
Months or even 1 or 2 years of paper review time can be worrying and anxious for the authors. As long as they don’t receive the results, they will keep dwelling on the matter. This work proposes a complete NLP-based multi-reviewer collaboration mechanism to improve the efficiency of the review process from the reviewer’s perspective, inspired by Intertextuality in literature — — “Treating text as an evolving entity created by the author and interpreted by the reader in the context of other texts is the core of the intertextuality theory”. It reflects, in a way, the transmission and evolution of the meaning of the text. The authors hope that this work can be an inspiration for improvements to existing review processes and tools. The efficiency of the NLP-backed interactive tool for reviewing drafts will be a great convenience for everyone involved!
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