Attapol Rutherford

715 total citations
20 papers, 426 citations indexed

About

Attapol Rutherford is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology. According to data from OpenAlex, Attapol Rutherford has authored 20 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Experimental and Cognitive Psychology. Recurrent topics in Attapol Rutherford's work include Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Sentiment Analysis and Opinion Mining (4 papers). Attapol Rutherford is often cited by papers focused on Natural Language Processing Techniques (16 papers), Topic Modeling (15 papers) and Sentiment Analysis and Opinion Mining (4 papers). Attapol Rutherford collaborates with scholars based in Thailand, United States and Germany. Attapol Rutherford's co-authors include Nianwen Xue, Sameer Pradhan, Hwee Tou Ng, Rashmi Prasad, Christopher Bryant, Hongmin Wang, Bonnie Webber, Chuan Wang, Vera Demberg and Sarana Nutanong and has published in prestigious journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and Corpora.

In The Last Decade

Attapol Rutherford

16 papers receiving 394 citations

Peers

Attapol Rutherford

CVPR

ECP

Shachar Mirkin Israel

Zheng Yong United States

Naveen Arivazhagan United States

Yassine Benajiba United States

Shuailiang Zhang China

Weiguang Qu China

David Burkett United States

Igor Malioutov United States

Roman Grundkiewicz United Kingdom

Shuangzhi Wu China

Shachar Mirkin Israel

Attapol Rutherford

344 ×0.8

28 ×0.4

CVPR

41 ×1.3

8 ×1.3

5 ×1.0

ECP

Citations per year, relative to Attapol Rutherford Attapol Rutherford (= 1×) peers Shachar Mirkin

Countries citing papers authored by Attapol Rutherford

Since Specialization

Citations

This map shows the geographic impact of Attapol Rutherford's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Attapol Rutherford with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Attapol Rutherford more than expected).

Fields of papers citing papers by Attapol Rutherford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Attapol Rutherford. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Attapol Rutherford. The network helps show where Attapol Rutherford may publish in the future.

Co-authorship network of co-authors of Attapol Rutherford

This figure shows the co-authorship network connecting the top 25 collaborators of Attapol Rutherford. A scholar is included among the top collaborators of Attapol Rutherford based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Attapol Rutherford. Attapol Rutherford is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rutherford, Attapol, et al.. (2024). Learning Job Title Representation from Job Description Aggregation Network. 1319–1329.

Rutherford, Attapol, et al.. (2024). The Thai Discourse Treebank: Annotating and Classifying Thai Discourse Connectives. Transactions of the Association for Computational Linguistics. 12. 613–629.

Rutherford, Attapol, et al.. (2024). Exploring the Correlation between Emojis and Mood Expression in Thai Twitter Discourse. ACM Transactions on Asian and Low-Resource Language Information Processing. 23(11). 1–14.

Chuangsuwanich, Ekapol, et al.. (2023). Few-Shot Law Retrieval System for Supreme Court Cases. 84–89.

Rutherford, Attapol, et al.. (2023). Contextualized vs. Static Word Embeddings for Word-based Analysis of Opposing Opinions. 95–100. 1 indexed citations

Rutherford, Attapol, et al.. (2022). Emotional engagement in Thai and Japanese insurance advertising: corpus-based keyword analysis. Corpora. 17(1). 69–96. 1 indexed citations

Rutherford, Attapol, et al.. (2022). Thai Nested Named Entity Recognition Corpus. Findings of the Association for Computational Linguistics: ACL 2022. 1473–1486. 1 indexed citations

Schofield, Alexandra, et al.. (2022). More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models. Findings of the Association for Computational Linguistics: ACL 2022. 2 indexed citations

Rutherford, Attapol, et al.. (2021). A large English–Thai parallel corpus from the web and machine-generated text. Language Resources and Evaluation. 56(2). 477–499. 14 indexed citations

10.

Sarwar, Raheem, Attapol Rutherford, Saeed‐Ul Hassan, Thanawin Rakthanmanon, & Sarana Nutanong. (2020). Native Language Identification of Fluent and Advanced Non-Native Writers. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(4). 1–19. 13 indexed citations

11.

Rutherford, Attapol, et al.. (2020). Syllable-based Neural Thai Word Segmentation. 4619–4637. 11 indexed citations

12.

Sarwar, Raheem, et al.. (2020). StyloThai:. ACM Transactions on Asian and Low-Resource Language Information Processing. 19(3). 1–15. 11 indexed citations

13.

Rutherford, Attapol, et al.. (2020). A Comparative Study of Pretrained Language Models for Automated Essay Scoring with Adversarial Inputs. 875–880. 5 indexed citations

14.

Rutherford, Attapol, Vera Demberg, & Nianwen Xue. (2017). A Systematic Study of Neural Discourse Models for Implicit Discourse Relation. 281–291. 31 indexed citations

15.

Xue, Nianwen, Hwee Tou Ng, Sameer Pradhan, et al.. (2016). CoNLL 2016 Shared Task on Multilingual Shallow Discourse Parsing. Edinburgh Research Explorer. 1–19. 74 indexed citations

16.

Rutherford, Attapol & Nianwen Xue. (2016). Robust Non-Explicit Neural Discourse Parser in English and Chinese. 55–59. 17 indexed citations

17.

Rutherford, Attapol & Nianwen Xue. (2015). Improving the Inference of Implicit Discourse Relations via Classifying Explicit Discourse Connectives. 799–808. 64 indexed citations

18.

Xue, Nianwen, Hwee Tou Ng, Sameer Pradhan, et al.. (2015). The CoNLL-2015 Shared Task on Shallow Discourse Parsing. 1–16. 91 indexed citations

19.

Rutherford, Attapol & Nianwen Xue. (2014). Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns. 645–654. 81 indexed citations

20.

Rutherford, Attapol, Fuchun Peng, & Françoise Beaufays. (2014). Pronunciation learning for named-entities through crowd-sourcing. 1448–1452. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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