Wen-tau Yih

20.0k total citations · 3 hit papers
91 papers, 7.6k citations indexed

About

Wen-tau Yih is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wen-tau Yih has authored 91 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 86 papers in Artificial Intelligence, 20 papers in Information Systems and 20 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wen-tau Yih's work include Topic Modeling (75 papers), Natural Language Processing Techniques (68 papers) and Multimodal Machine Learning Applications (18 papers). Wen-tau Yih is often cited by papers focused on Topic Modeling (75 papers), Natural Language Processing Techniques (68 papers) and Multimodal Machine Learning Applications (18 papers). Wen-tau Yih collaborates with scholars based in United States, United Kingdom and Israel. Wen-tau Yih's co-authors include Geoffrey Zweig, Tomáš Mikolov, Dan Roth, Ming‐Wei Chang, Xiaodong He, Christopher Meek, Vasin Punyakanok, Christopher Meek, Kristina Toutanova and Yi Yang and has published in prestigious journals such as Computational Linguistics, Transactions of the Association for Computational Linguistics and National University of Singapore.

In The Last Decade

Wen-tau Yih

91 papers receiving 7.0k citations

Hit Papers

Linguistic Regularities in Continuous Space Word Represen... 2013 2026 2017 2021 2013 2015 2015 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Linguistic Regularities in Continuous Space Word Representations
    2013 1.6k citations Tomáš Mikolov, Wen-tau Yih et al. North American Chapter of the Association for Computational Linguistics profile →
  2. WikiQA: A Challenge Dataset for Open-Domain Question Answering
    2015 426 citations Wen-tau Yih et al. profile →
  3. Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base
    2015 418 citations Wen-tau Yih, Ming‐Wei Chang et al. profile →

Peers

Wen-tau Yih
Xuanjing Huang China
Minlie Huang China
Édouard Grave Israel
Min‐Yen Kan Singapore
Jenny Rose Finkel United States
Mihai Surdeanu United States
Roberto Navigli Italy
Patrick Pantel United States
David Yarowsky United States
Hwee Tou Ng Singapore
Xuanjing Huang China
Wen-tau Yih
Citations per year, relative to Wen-tau Yih Wen-tau Yih (= 1×) peers Xuanjing Huang

Countries citing papers authored by Wen-tau Yih

Since Specialization
Citations

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

Fields of papers citing papers by Wen-tau Yih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wen-tau Yih. 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 Wen-tau Yih. The network helps show where Wen-tau Yih may publish in the future.

Co-authorship network of co-authors of Wen-tau Yih

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

All Works

20 of 20 papers shown
1.
Shi, Weijia, Xiaochuang Han, Michael Lewis, et al.. (2024). Trusting Your Evidence: Hallucinate Less with Context-aware Decoding. 783–791. 22 indexed citations
2.
Min, Sewon, Kalpesh Krishna, Xinxi Lyu, et al.. (2023). FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. 12076–12100. 80 indexed citations
3.
Zhong, Victor W., Weijia Shi, Wen-tau Yih, & Luke Zettlemoyer. (2023). RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering. 7055–7067. 5 indexed citations
4.
Iyer, Srinivasan, Sewon Min, Yashar Mehdad, & Wen-tau Yih. (2021). RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. 1280–1287. 13 indexed citations
5.
Yin, Pengcheng, Graham Neubig, Wen-tau Yih, & Sebastian Riedel. (2020). TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data. 8413–8426. 227 indexed citations
6.
Peters, Matthew E., Mark E Neumann, Luke Zettlemoyer, & Wen-tau Yih. (2018). Dissecting Contextual Word Embeddings: Architecture and Representation. 1499–1509. 208 indexed citations
7.
Toutanova, Kristina, et al.. (2016). Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text. 1434–1444. 74 indexed citations
8.
Yih, Wen-tau, Matthew Richardson, C. E. Meek, Ming‐Wei Chang, & Jina Suh. (2016). The Value of Semantic Parse Labeling for Knowledge Base Question Answering. 201–206. 210 indexed citations
9.
Moore, Joshua L., Christopher J. C. Burges, Erin Renshaw, & Wen-tau Yih. (2013). Animacy Detection with Voting Models. 55–60. 7 indexed citations
10.
Mikolov, Tomáš, Wen-tau Yih, & Geoffrey Zweig. (2013). Linguistic Regularities in Continuous Space Word Representations. North American Chapter of the Association for Computational Linguistics. 746–751. 1635 indexed citations breakdown →
11.
Yih, Wen-tau, Geoffrey Zweig, & John Platt. (2012). Polarity Inducing Latent Semantic Analysis. Empirical Methods in Natural Language Processing. 1212–1222. 48 indexed citations
12.
Quirk, Chris, Pallavi Choudhury, Jianfeng Gao, et al.. (2012). MSR SPLAT, a language analysis toolkit. North American Chapter of the Association for Computational Linguistics. 21–24. 21 indexed citations
13.
Kok, Stanley & Wen-tau Yih. (2009). Extracting Product Information from Email Receipts Using Markov Logic. National University of Singapore. 2 indexed citations
14.
Yih, Wen-tau & Christopher Meek. (2007). Improving similarity measures for short segments of text. National Conference on Artificial Intelligence. 1489–1494. 75 indexed citations
15.
Punyakanok, Vasin, Dan Roth, & Wen-tau Yih. (2005). The necessity of syntactic parsing for semantic role labeling. International Joint Conference on Artificial Intelligence. 1117–1123. 77 indexed citations
16.
Punyakanok, Vasin, Dan Roth, Wen-tau Yih, & Dav Zimak. (2005). Learning and inference over constrained output. International Joint Conference on Artificial Intelligence. 1124–1129. 61 indexed citations
17.
Roth, Dan & Wen-tau Yih. (2004). A Linear Programming Formulation for Global Inference in Natural Language Tasks. Defense Technical Information Center (DTIC). 1–8. 290 indexed citations
18.
Roth, Dan, Chad Cumby, Xin Li, et al.. (2002). Question-Answering via Enhanced Understanding of Questions.. Text REtrieval Conference. 15 indexed citations
19.
Roth, Dan, Xin Li, Ramya Nagarajan, et al.. (2001). Learning Components for A Question-Answering System.. Text REtrieval Conference. 539–548. 3 indexed citations
20.
Hsu, Jane Yung-jen & Wen-tau Yih. (1997). Template-based information mining from HTML documents. National Conference on Artificial Intelligence. 256–262. 28 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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