Towards Standardized Annotation and Parsing for Korean FrameNet (2024.lrec-main)
Copied to clipboard
| Challenge: | Existing studies on Korean FrameNet have focused on English, but annotations are not optimally designed for Korean. |
| Approach: | They propose a morphologically enhanced annotation strategy for Korean FrameNet datasets and parsing by leveraging the CoNLL-U format. |
| Outcome: | The proposed method improves the annotation accuracy of Korean FrameNet datasets and their parsers. |
Similar Papers
Semi-automatic Korean FrameNet Annotation over KAIST Treebank (L18-1)
Copied to clipboard
| Challenge: | Annotating FrameNet over raw sentences is an expensive and complex task, because of which we have designed a semi-automatic annotation approach. |
| Approach: | They propose to use Korean FrameNet annotations to build a frame-semantic parser for English using full-text annotation and partially annotated exemplar sentences to train their models. |
| Outcome: | The proposed model is based on a lexical database of the Korean FrameNet, and its current scope, status, and limitations are discussed in the paper. |
Yet Another Format of Universal Dependencies for Korean (2022.coling-1)
Copied to clipboard
Yige Chen, Eunkyul Leah Jo, Yundong Yao, KyungTae Lim, Miikka Silfverberg, Francis M. Tyers, Jungyeul Park
| Challenge: | Existing dependency parsers for Korean do not perform as well as their English counterparts due to the complexity of Korean's linguistic features. |
| Approach: | They propose a morpheme-based Korean dependency parsing format and propose to adopt it to Universal Dependencies. |
| Outcome: | The proposed format outperforms parsing results for Korean UD treebanks and detailed error analysis. |
K-UniMorph: Korean Universal Morphology and its Feature Schema (2023.findings-acl)
Copied to clipboard
| Challenge: | Previously, the Korean language has been underrepresented in the field of morphological paradigms amongst hundreds of diverse world languages. |
| Approach: | They propose a new Universal Morphology dataset for Korean that preserves its distinct characteristics. |
| Outcome: | The proposed dataset extracts inflected Korean verb forms from the largest annotated corpus for Korean. |
OpenKorPOS: Democratizing Korean Tokenization with Voting-Based Open Corpus Annotation (2022.lrec-1)
Copied to clipboard
| Challenge: | Korean uses spaces at larger-than-word boundaries, unlike other East-Asian languages. |
| Approach: | They propose to use Korean morphological analyzers to provide a sequence of morpheme-level tokens, losing information in the tokenization process. |
| Outcome: | The proposed scheme improves existing tagging scheme and makes it friendlier to generative tasks. |
A Linguistically-Informed Annotation Strategy for Korean Semantic Role Labeling (2024.lrec-main)
Copied to clipboard
| Challenge: | Semantic role labeling is an essential component of semantic and syntactic processing of natural languages. |
| Approach: | They propose an annotation strategy for Korean semantic role labeling that is in line with the previously proposed linguistic theories as well as the distinct properties of the Korean language. |
| Outcome: | The proposed annotation strategy is consistent with the proposed linguistic theories and the distinct properties of the Korean language. |
CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing (L18-1)
Copied to clipboard
Amir More, Özlem Çetinoğlu, Çağrı Çöltekin, Nizar Habash, Benoît Sagot, Djamé Seddah, Dima Taji, Reut Tsarfaty
| Challenge: | Using the universal dependencies framework, we address the need for a universal representation of morphological analysis that can capture alternative morphology of surface tokens and is compatible with the segmentation and morphologic annotation guidelines prescribed for UD treebanks. |
| Approach: | They propose a new annotation format for word lattices that represent morphological analyses and a resource that obeys this format for a range of typologically different languages. |
| Outcome: | The proposed model can capture alternative morphological analyses of surface tokens and is compatible with the segmentation and morphology guidelines prescribed for UD treebanks. |
Transfer of Frames from English FrameNet to Construct Chinese FrameNet: A Bilingual Corpus-Based Approach (L18-1)
Copied to clipboard
| Challenge: | Current publicly available Chinese FrameNet has a relatively low coverage of frames and lexical units compared with other languages. |
| Approach: | They propose an automatic way to construct Chinese FrameNet using a sentence-aligned English-Chinese bilingual corpus. |
| Outcome: | The proposed resource can provide frame recommendations acceptable by annotators. |
Rich Character-Level Information for Korean Morphological Analysis and Part-of-Speech Tagging (C18-1)
Copied to clipboard
| Challenge: | Korean is a highly agglutinative, character-rich language, requiring dictionary-less morphological analysis . a novel model can perform morphology and part-of-speech tagging without prior knowledge . |
| Approach: | They propose a multi-stage action-based model that performs morphological transformation and part-of-speech tagging using arbitrary units of input. |
| Outcome: | The proposed model achieves state-of-the-art word and sentence-level tagging accuracy with Korean corpus. |
Constructing a Dependency Treebank for Second Language Learners of Korean (2024.lrec-main)
Copied to clipboard
| Challenge: | a manually annotated syntactic treebank is available for second language learners . the dataset includes 7,530 sentences (66,982 words; 129,333 morphemes) |
| Approach: | They propose to manually annotate syntactic treebanks based on Universal Dependencies from Korean written data. |
| Outcome: | The proposed dataset includes 7,530 sentences and 129,333 morphemes from Korean learners. |
Building Universal Dependency Treebanks in Korean (L18-1)
Copied to clipboard
| Challenge: | Several treebanks were introduced for Korean, all of which comprised annotation of morphemes and phrase structure trees, each following its own set of guidelines. |
| Approach: | They propose to use Korean treebanks as dependency trees and to analyze their performance using morpheme-level annotations. |
| Outcome: | The Korean portion of the Google UD Treebank, the Penn Korean Treebank and the KAIST Treebank are re-tokenized and assessed for errors. |