--- title: "Jeffrey Ling — author profile and papers — Elamur Research" description: "Jeffrey Ling: 2 papers on Elamur Research (2016–2019), h-index 9 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jeffrey-ling/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jeffrey-ling/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jeffrey Ling # Jeffrey Ling Jeffrey Ling has 2 papers in our library, in 2016–2019, most of them on [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Alexander M. Rush](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/), [Livio Baldini Soares](https://md.research.elamur.ai/free/en/authors/livio-baldini-soares/), [Nicholas FitzGerald](https://md.research.elamur.ai/free/en/authors/nicholas-fitzgerald/). 2 papers in our library · 2016–2019 [OpenAlex](https://openalex.org/A5007888987) · [**h-index 9**](https://openalex.org/authors/A5007888987) · [11 works](https://openalex.org/works?filter=author.id:A5007888987) · [1,149 citations](https://openalex.org/works?filter=author.id:A5007888987&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jeffrey-ling/#papers) · [🔗 Cited 380 times in our library](https://md.research.elamur.ai/free/en/authors/jeffrey-ling/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #2559](https://md.research.elamur.ai/free/en/paper-stars/page/26/#star-2559) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jeffrey+Ling) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jeffrey+Ling) · [dblp](https://dblp.org/search?q=Jeffrey+Ling) · [ACL Anthology](https://aclanthology.org/search/?q=Jeffrey+Ling) ## Affiliations [🏢**Google** Mountain View · United States 2019–2021 · 4 papers](https://md.research.elamur.ai/free/en/companies/google/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) 💡 Concepts 1 Key ideas and methods explained on our concept pages.[Distributional semantics · 1 work](https://md.research.elamur.ai/free/en/concepts/distributional-semantics/) ## Works by year ### 2010s [**2019** 1 paper](https://md.research.elamur.ai/free/en/authors/jeffrey-ling/year/2019/) · [**2016** 1 paper](https://md.research.elamur.ai/free/en/authors/jeffrey-ling/year/2016/) ## Papers The most cited first (OpenAlex and our library). 1. **[Matching the Blanks: Distributional Similarity for Relation Learning](https://md.research.elamur.ai/free/en/papers/soares-2019-matching-blanks-distributional-similarity-relation/)** *(2019 · 999 citations)* The paper addresses the task of extracting relations between entities in text. The authors aim to obtain general-purpose relation representations that do not depend on a fixed schema or a large knowledge graph. First, using BERT LARGE, they compare ways to mark the two target entities in the input and to obtain a… 2. **[Image-to-Markup Generation with Coarse-to-Fine Attention](https://md.research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/)** *(2016 · 116 citations)* The paper treats recovering LaTeX source from an image of a typeset formula as a form of structured OCR. Unlike plain text recognition, the output need not follow the image left to right, because subscripts, fractions and nesting must be encoded. The authors build a public benchmark, IM2LATEX-100K, of formulas taken… ## All works 4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Matching the Blanks: Distributional Similarity for Relation Learning](https://md.research.elamur.ai/free/en/papers/soares-2019-matching-blanks-distributional-similarity-relation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Livio Baldini Soares, Nicholas FitzGerald, Jeffrey Ling, et al.*2019 · 999 citations* 2. **[Fusion of Detected Objects in Text for Visual Question Answering ↗](https://aclanthology.org/D19-1219/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Chris Alberti et al.*2019 · 218 citations* 3. [**Image-to-Markup Generation with Coarse-to-Fine Attention arXiv:1609.04938**Yuntian Deng, Anssi Kanervisto, Jeffrey Ling, et al.*2016 · 116 citations*](https://md.research.elamur.ai/free/en/papers/deng-2016-image-markup-generation-coarse-fine/) 4. **[Scene Transformer: A unified multi-task model for behavior prediction and planning ↗](https://arxiv.org/abs/2106.08417) arXiv (Cornell University) · no summary yet**Jiquan Ngiam et al.*2021 · 15 citations* ## Co-authors here 5 co-authors with a page, the most papers together first. - [Alexander M. Rush](https://md.research.elamur.ai/free/en/authors/alexander-m-rush/) - [Livio Baldini Soares](https://md.research.elamur.ai/free/en/authors/livio-baldini-soares/) - [Nicholas FitzGerald](https://md.research.elamur.ai/free/en/authors/nicholas-fitzgerald/) - [Tom Kwiatkowski](https://md.research.elamur.ai/free/en/authors/tom-kwiatkowski/) - [Yuntian Deng](https://md.research.elamur.ai/free/en/authors/yuntian-deng/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2019](https://md.research.elamur.ai/free/en/venues/acl/2019/) - Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) ## Cited by Papers of our library cite their works 380 times (of the 149,439 papers whose bibliographies we read); [42 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jeffrey-ling/cited-by/). Updated 3 November 2026