Papers by Yuya Sawada
Toward Automatic Delegation Extraction in Japanese Law (2026.eacl-industry)
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| Challenge: | a higher-level law authorizes a lower-level to implement detailed provisions, which is called delegation. |
| Approach: | They propose a two-stage pipeline system for automatic delegation annotation in Japanese law . they extract keywords that indicate delegation using a named entity recognition approach . |
| Outcome: | The proposed system shows sufficient performance to assist manual annotation in practice. |
A Text Embedding Model with Contrastive Example Mining for Point-of-Interest Geocoding (2025.coling-main)
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| Challenge: | Existing studies have focused on coarse-grained locations, but we focus on fine-grain POIs, which have many candidates with similar names. |
| Approach: | They develop a text embedding-based geocoding model and investigate (1) entry encoding representations and (2) hard negative mining approaches suitable for enhancing the model’s disambiguation ability. |
| Outcome: | The proposed model significantly improves its disambiguation ability and entry encoding representations. |
entity-linkings: A Unified Library for Entity Linking (2026.eacl-demo)
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| Challenge: | Entity linking (EL) is the task of mapping named entities in text to canonical entries in a knowledge base. |
| Approach: | They propose a unified library for using and developing entity linking systems . a strong emphasis is placed on usability, making it highly extensible . |
| Outcome: | a new library aims to disambiguate named entities in text by mapping them to canonical entries in a knowledge base. |
JaCorpTrack: Corporate History Event Extraction for Tracking Organizational Changes (2025.emnlp-industry)
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Yuya Sawada, Hiroki Ouchi, Yuichiro Yasui, Hiroki Teranishi, Yuji Matsumoto, Taro Watanabe, Masayuki Ishii
| Challenge: | Existing information extraction systems are not able to accurately capture organizational changes. |
| Approach: | They propose a task to extract corporate history events related to organizational changes by identifying company names before and after each event, as well as the corresponding date. |
| Outcome: | The proposed task is designed to identify company names before and after an event, as well as the corresponding date. |
Coordination Boundary Identification without Labeled Data for Compound Terms Disambiguation (2020.coling-main)
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Yuya Sawada, Takashi Wada, Takayoshi Shibahara, Hiroki Teranishi, Shuhei Kondo, Hiroyuki Shindo, Taro Watanabe, Yuji Matsumoto
| Challenge: | a new method for nominal coordination boundary identification is proposed . it uses pre-trained word embeddings to measure similarities of words and detects the span of coordination . |
| Approach: | They propose a method for nominal coordination boundary identification that uses pre-trained word embeddings to measure similarities of words and detects the span of coordination. |
| Outcome: | The proposed method can identify coordination boundaries without training on labeled data . it is comparable to a recent supervised method for the case when the coordinator conjoins simple noun phrases. |