Papers by Farjana Sultana Mim
Unsupervised Learning of Discourse-Aware Text Representation for Essay Scoring (P19-2)
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| Challenge: | Existing document embedding approaches focus on capturing sequences of words in documents . however, some document classification and regression tasks need to consider discourse structure of text . |
| Approach: | They propose an unsupervised approach to capture discourse structure in terms of coherence and cohesion for document embedding that does not require expensive parsers or annotation. |
| Outcome: | The proposed method improves essay Organization scoring and Argument Strength scoring. |
IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments (2022.lrec-1)
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| Challenge: | Using crowdsourcing, we show that models trained with domain-specific implicit reasonings outperform domain-general models in both automatic and human evaluations. |
| Approach: | They propose to create a domain-specific corpus of implicit reasonings annotated for a wide range of arguments and use it to generate models. |
| Outcome: | The proposed corpus outperforms domain-general models in automatic and human evaluations. |
LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments (2022.lrec-1)
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| Challenge: | Argumentation plays a central role in human communication, where refuting or attacking others’ arguments is a common persuasion strategy. |
| Approach: | They propose a novel annotation scheme that captures common modes and complex rhetorical moves in attacks along with the implicit presuppositions and value judgments. |
| Outcome: | The proposed scheme shows moderate agreement between the two annotations, indicating that human annotation is feasible. |
TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation (2022.lrec-1)
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Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui
| Challenge: | Argumentation and debate are effective tools for developing critical thinking skills, but it requires a lot of time and effort. |
| Approach: | They propose to automate the process of giving diagnostic comments to students . they define criteria for a template set that can be used to evaluate the model . |
| Outcome: | The proposed model can be used to evaluate arguments and evaluate them in real time. |