A survey on computational metaphor processing techniques: from identification, interpretation, generation to application
Metaphors are figurative expressions frequently appearing daily. Given its significance in downstream natural language processing tasks such as machine translation and sentiment analysis, computational metaphor processing has led to an upsurge in the community. The progress of Artificial Intelligenc...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/171243 |
| _version_ | 1811681399083630592 |
|---|---|
| author | Ge, Mengshi Mao, Rui Cambria, Erik |
| author2 | School of Computer Science and Engineering |
| author_facet | School of Computer Science and Engineering Ge, Mengshi Mao, Rui Cambria, Erik |
| author_sort | Ge, Mengshi |
| collection | NTU |
| description | Metaphors are figurative expressions frequently appearing daily. Given its significance in downstream natural language processing tasks such as machine translation and sentiment analysis, computational metaphor processing has led to an upsurge in the community. The progress of Artificial Intelligence has incentivized several technological tools and frameworks in this domain. This article aims to comprehensively summarize and categorize previous computational metaphor processing approaches regarding metaphor identification, interpretation, generation, and application. Though studies on metaphor identification have made significant progress, metaphor understanding, conceptual metaphor processing, and metaphor generation still need in-depth analysis. We hope to identify future directions for prospective researchers based on comparing the strengths and weaknesses of the previous works. |
| first_indexed | 2024-10-01T03:40:19Z |
| format | Journal Article |
| id | ntu-10356/171243 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:40:19Z |
| publishDate | 2023 |
| record_format | dspace |
| spelling | ntu-10356/1712432023-10-17T08:39:13Z A survey on computational metaphor processing techniques: from identification, interpretation, generation to application Ge, Mengshi Mao, Rui Cambria, Erik School of Computer Science and Engineering Engineering::Computer science and engineering Metaphor Identification Metaphor Interpretation Metaphors are figurative expressions frequently appearing daily. Given its significance in downstream natural language processing tasks such as machine translation and sentiment analysis, computational metaphor processing has led to an upsurge in the community. The progress of Artificial Intelligence has incentivized several technological tools and frameworks in this domain. This article aims to comprehensively summarize and categorize previous computational metaphor processing approaches regarding metaphor identification, interpretation, generation, and application. Though studies on metaphor identification have made significant progress, metaphor understanding, conceptual metaphor processing, and metaphor generation still need in-depth analysis. We hope to identify future directions for prospective researchers based on comparing the strengths and weaknesses of the previous works. This study is supported under the RIE2020 Industry Alignment Fund Industry Collaboration Projects (IAF-ICP) Funding Initiative, as well as cash and in-kind contribution from the industry partner(s). 2023-10-17T08:39:12Z 2023-10-17T08:39:12Z 2023 Journal Article Ge, M., Mao, R. & Cambria, E. (2023). A survey on computational metaphor processing techniques: from identification, interpretation, generation to application. Artificial Intelligence Review. https://dx.doi.org/10.1007/s10462-023-10564-7 0269-2821 https://hdl.handle.net/10356/171243 10.1007/s10462-023-10564-7 2-s2.0-85167805431 en Artificial Intelligence Review © 2023 The Author(s), under exclusive licence to Springer Nature B.V. All rights reserved. |
| spellingShingle | Engineering::Computer science and engineering Metaphor Identification Metaphor Interpretation Ge, Mengshi Mao, Rui Cambria, Erik A survey on computational metaphor processing techniques: from identification, interpretation, generation to application |
| title | A survey on computational metaphor processing techniques: from identification, interpretation, generation to application |
| title_full | A survey on computational metaphor processing techniques: from identification, interpretation, generation to application |
| title_fullStr | A survey on computational metaphor processing techniques: from identification, interpretation, generation to application |
| title_full_unstemmed | A survey on computational metaphor processing techniques: from identification, interpretation, generation to application |
| title_short | A survey on computational metaphor processing techniques: from identification, interpretation, generation to application |
| title_sort | survey on computational metaphor processing techniques from identification interpretation generation to application |
| topic | Engineering::Computer science and engineering Metaphor Identification Metaphor Interpretation |
| url | https://hdl.handle.net/10356/171243 |
| work_keys_str_mv | AT gemengshi asurveyoncomputationalmetaphorprocessingtechniquesfromidentificationinterpretationgenerationtoapplication AT maorui asurveyoncomputationalmetaphorprocessingtechniquesfromidentificationinterpretationgenerationtoapplication AT cambriaerik asurveyoncomputationalmetaphorprocessingtechniquesfromidentificationinterpretationgenerationtoapplication AT gemengshi surveyoncomputationalmetaphorprocessingtechniquesfromidentificationinterpretationgenerationtoapplication AT maorui surveyoncomputationalmetaphorprocessingtechniquesfromidentificationinterpretationgenerationtoapplication AT cambriaerik surveyoncomputationalmetaphorprocessingtechniquesfromidentificationinterpretationgenerationtoapplication |