Papers with feature-based approach
Automated Essay Scoring System for Nonnative Japanese Learners (2020.lrec-1)
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| Challenge: | Existing systems only provide a holistic score that summarizes the quality of an essay, which provides little feedback for a language learner. |
| Approach: | They developed an automated essay scoring system for Japanese as a second language learners using an essay dataset with annotations for a holistic score and multiple trait scores. |
| Outcome: | The proposed system achieves the highest accuracy in various natural language processing tasks. |
Inferring symmetry in natural language (2020.findings-emnlp)
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| Challenge: | Empirical work on predicate symmetry has taken two main approaches: feature-based approach and context-based one denies the existence of absolute symmetry. |
| Approach: | They propose a methodological framework for inferring symmetry of verb predicates in natural language. |
| Outcome: | The proposed framework is based on a dataset of 400 naturalistic verbs spanning the spectrum of symmetry-asymmetry. |
Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness (2020.coling-main)
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| Challenge: | lexical semantics theories advocate that the meaning of words is represented as an inference graph, a feature mapping or a cooccurrence vector. |
| Approach: | They propose to probe different lexical semantics theories for their levels of cognitive plausibility and technological usefulness. |
| Outcome: | The proposed approach is superior to the other approaches, the authors argue . they show that the feature-based approach is more useful and more plausible than the other ones . |
Conundrums in Cross-Prompt Automated Essay Scoring: Making Sense of the State of the Art (2024.acl-long)
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| Challenge: | Automated essay scoring (AES) is a task of assigning a single score to an essay . authors abandon sophisticated neural architectures and develop a simple feature-based approach . |
| Approach: | a team of researchers develop a feature-based approach to cross-prompt automated essay scoring that adopts a simple neural architecture. |
| Outcome: | a new approach to cross-prompt automated essay scoring can achieve state-of-the-art results. |
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task (2020.lrec-1)
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| Challenge: | Word embeddings that consider context have attracted great attention for natural language processing tasks in recent years. |
| Approach: | They propose two different approaches to integrate contextualized word embeddings with transformer encoders for sentence similarity modeling. |
| Outcome: | The proposed model outperforms the feature-based approach on six datasets. |