Chen-Tse Tsai

725 total citations
15 papers, 348 citations indexed

About

Chen-Tse Tsai is a scholar working on Artificial Intelligence, Management Science and Operations Research and Communication. According to data from OpenAlex, Chen-Tse Tsai has authored 15 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 4 papers in Management Science and Operations Research and 3 papers in Communication. Recurrent topics in Chen-Tse Tsai's work include Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Data Quality and Management (4 papers). Chen-Tse Tsai is often cited by papers focused on Natural Language Processing Techniques (15 papers), Topic Modeling (15 papers) and Data Quality and Management (4 papers). Chen-Tse Tsai collaborates with scholars based in United States and United Kingdom. Chen-Tse Tsai's co-authors include Dan Roth, Stephen Mayhew, Wen-tau Yih, Hao Ma, Jun Liu, Huan Sun, Ming‐Wei Chang, Gourab Kundu, Ben Zhou and Daniel Khashabi and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Theory and applications of categories and International Conference on Computational Linguistics.

In The Last Decade

Chen-Tse Tsai

15 papers receiving 326 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Chen-Tse Tsai United States	9	328	54	52	46	30	15	348
Xiaotao Gu United States	9	349 1.1×	57 1.1×	54 1.0×	69 1.5×	40 1.3×	19	378
Martin Josifoski Switzerland	4	209 0.6×	32 0.6×	31 0.6×	24 0.5×	22 0.7×	8	231
Francesco Piccinno Italy	9	200 0.6×	30 0.6×	47 0.9×	39 0.8×	9 0.3×	16	239
Minh C. Phan Singapore	7	191 0.6×	33 0.6×	17 0.3×	42 0.9×	30 1.0×	9	204
Abdalghani Abujabal Germany	8	318 1.0×	26 0.5×	41 0.8×	39 0.8×	14 0.5×	10	328
Zhaocheng Zhu China	2	330 1.0×	35 0.6×	73 1.4×	30 0.7×	28 0.9×	4	358
Samuel Broscheit Germany	9	182 0.6×	34 0.6×	19 0.4×	15 0.3×	17 0.6×	16	204
Kun Xu China	12	477 1.5×	25 0.5×	115 2.2×	46 1.0×	38 1.3×	26	524
Braden Hancock United States	7	139 0.4×	21 0.4×	25 0.5×	36 0.8×	31 1.0×	9	191
Dennis Connolly United States	4	476 1.5×	36 0.7×	30 0.6×	30 0.7×	68 2.3×	7	498

Countries citing papers authored by Chen-Tse Tsai

Since Specialization

Citations

This map shows the geographic impact of Chen-Tse Tsai'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 Chen-Tse Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Tse Tsai more than expected).

Fields of papers citing papers by Chen-Tse Tsai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen-Tse Tsai. 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 Chen-Tse Tsai. The network helps show where Chen-Tse Tsai may publish in the future.

Co-authorship network of co-authors of Chen-Tse Tsai

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Tse Tsai. A scholar is included among the top collaborators of Chen-Tse Tsai 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 Chen-Tse Tsai. Chen-Tse Tsai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

Tsai, Chen-Tse, et al.. (2019). A Semi-Markov Structured Support Vector Machine Model for High-Precision Named Entity Recognition. 5862–5866. 14 indexed citations

Mayhew, Stephen, Snigdha Chaturvedi, Chen-Tse Tsai, & Dan Roth. (2019). Named Entity Recognition with Partially Annotated Training Data. 645–655. 25 indexed citations

Zhou, Ben, Daniel Khashabi, Chen-Tse Tsai, & Dan Roth. (2018). Zero-Shot Open Entity Typing as Type-Compatible Grounding. 31 indexed citations

Tsai, Chen-Tse & Dan Roth. (2018). Learning Better Name Translation for Cross-Lingual Wikification. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 9 indexed citations

Ma, Xuezhe, et al.. (2017). STCP: Simplified-Traditional Chinese Conversion and Proofreading. International Joint Conference on Natural Language Processing. 61–64. 1 indexed citations

Peng, Haoruo, Hao Wu, Shyam Upadhyay, et al.. (2017). UI CCG TAC-KBP2017 Submissions: Entity Discovery and Linking, and Event Nugget Detection and Co-reference.. Theory and applications of categories. 4 indexed citations

Mayhew, Stephen, Chen-Tse Tsai, & Dan Roth. (2017). Cheap Translation for Cross-Lingual Named Entity Recognition. 2536–2545. 83 indexed citations

Tsai, Chen-Tse & Dan Roth. (2016). Illinois Cross-Lingual Wikifier: Grounding Entities in Many Languages to the English Wikipedia.. International Conference on Computational Linguistics. 146–150. 4 indexed citations

Tsai, Chen-Tse, et al.. (2016). Illinois CCG Entity Discovery and Linking, Event Nugget Detection and Co-reference, and Slot Filler Validation Systems for TAC 2016.. Theory and applications of categories. 1 indexed citations

10.

Tsai, Chen-Tse, Stephen Mayhew, & Dan Roth. (2016). Cross-Lingual Named Entity Recognition via Wikification. 62 indexed citations

11.

Tsai, Chen-Tse & Dan Roth. (2016). Concept Grounding to Multiple Knowledge Bases via Indirect Supervision. Transactions of the Association for Computational Linguistics. 4. 141–154. 8 indexed citations

12.

Sammons, Mark, Haoruo Peng, Yangqiu Song, et al.. (2015). Illinois CCG TAC 2015 Event Nugget, Entity Discovery and Linking, and Slot Filler Validation Systems. Theory and applications of categories. 9 indexed citations

13.

Sun, Huan, Hao Ma, Wen-tau Yih, et al.. (2015). Open Domain Question Answering via Semantic Enrichment. 1045–1055. 63 indexed citations

14.

Tsai, Chen-Tse, Wen-tau Yih, Chris Burges, & Scott Yih. (2015). Web-based Question Answering: Revisiting AskMSR. 5 indexed citations

15.

Tsai, Chen-Tse, Gourab Kundu, & Dan Roth. (2013). Concept-based analysis of scientific literature. 1733–1738. 29 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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