--- title: "Mirella Lapata — papers and cards" description: "Mirella Lapata: 2 paper cards in the Research library (2011–2021), with what each paper is about, the ideas Mova took from it, and the co-authors." canonical: "https://research.elamur.ai/free/en/authors/mirella-lapata/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/mirella-lapata/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Mirella Lapata # Mirella Lapata 2 paper cards in the Research library · 2011–2021 Mirella Lapata wrote 2 of the papers Mova reads, in 2011–2021, most of them on [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/), [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/); often with [Jiangming Liu](https://md.research.elamur.ai/free/en/authors/jiangming-liu/), Kristian Woodsend, [Shay B. Cohen](https://md.research.elamur.ai/free/en/authors/shay-b-cohen/). [OpenAlex](https://openalex.org/A5041024491) · [ORCID](https://orcid.org/0000-0002-2107-1516) · [**h-index 80**](https://openalex.org/authors/A5041024491) · [27331 citations](https://openalex.org/authors/A5041024491) · [493 works](https://openalex.org/works?filter=author.id:A5041024491) — openalex-snapshot, 2026-10-14 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=Mirella+Lapata) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Mirella+Lapata) · [dblp](https://dblp.org/search?q=Mirella+Lapata) · [ACL Anthology](https://aclanthology.org/search/?q=Mirella+Lapata) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Mirella+Lapata) Topics: [Machine translation](https://md.research.elamur.ai/free/en/topics/machine-translation/) 2 · [Discourse analysis](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) 1 ## Papers 1. **[Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/liu-2021-text-generation-discourse-representation-structures/)** *(2021)* The paper generates document text from DRSs on the Groningen Meaning Bank. Two problems make DRSs hard to generate from. First, the conditions of a box form a set, so one meaning can arrive in many orders; the paper learns a canonical order with a graph model (a graph neural network over conditions followed by a… 2. **[Learning to Simplify Sentences with Quasi-Synchronous Grammar and Integer Programming](https://md.research.elamur.ai/free/en/papers/woodsend-2011-learning-simplify-sentences-quasi-synchronous/)** *(2011)* The paper casts simplification as rewriting with a quasi-synchronous grammar (QG), a formalism that relates two trees that need not be isomorphic. ## Co-authors (3) - [Jiangming Liu](https://md.research.elamur.ai/free/en/authors/jiangming-liu/) - Kristian Woodsend - [Shay B. Cohen](https://md.research.elamur.ai/free/en/authors/shay-b-cohen/) ## More papers in the library (14) Pages of the Research library: our summary, the ideas, references and who cites each. - [Experience Grounds Language](https://md.research.elamur.ai/free/en/papers/bisk-2020-experience-grounds-language/) — Yonatan Bisk, Ari Holtzman, Jesse Thomason, et al. · 2020 - [Hierarchical Transformers for Multi-Document Summarization](https://md.research.elamur.ai/free/en/papers/liu-2019-hierarchical-transformers-multi-document-summarization/) — Yang Liu, Mirella Lapata · 2019 - [Text Generation from Knowledge Graphs with Graph Transformers](https://md.research.elamur.ai/free/en/papers/kedziorski-2019-text-generation-knowledge-graphs-graph/) — Rik Koncel-Kedziorski, Dhanush Bekal, Yi Luan, et al. · 2019 - [Learning Contextually Informed Representations for Linear-Time Discourse Parsing](https://md.research.elamur.ai/free/en/papers/liu-2017-learning-contextually-informed-representations-linear/) — Yang Liu, Mirella Lapata · 2017 - [Learning to Paraphrase for Question Answering](https://md.research.elamur.ai/free/en/papers/dong-2017-learning-paraphrase-question-answering/) — Li Dong, Jonathan Mallinson, Siva Reddy, et al. · 2017 - [Paraphrasing Revisited with Neural Machine Translation](https://md.research.elamur.ai/free/en/papers/mallinson-2017-paraphrasing-revisited-neural-machine-translation/) — Jonathan Mallinson, Rico Sennrich, Mirella Lapata · 2017 - [Sentence Simplification with Deep Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/zhang-2017-sentence-simplification-deep-reinforcement-learning/) — Xingxing Zhang, Mirella Lapata · 2017 - [Long Short-Term Memory-Networks for Machine Reading](https://md.research.elamur.ai/free/en/papers/cheng-2016-long-short-term-memory-networks/) — Jianpeng Cheng, Li Dong, Mirella Lapata · 2016 - [Neural Summarization by Extracting Sentences and Words](https://md.research.elamur.ai/free/en/papers/cheng-2016-neural-summarization-extracting-sentences-words/) — Jianpeng Cheng, Mirella Lapata · 2016 - [Context-aware Frame-Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/roth-2015-context-aware-frame-semantic-role/) — Michael Roth, Mirella Lapata · 2015 - [Constructing Corpora for the Development and Evaluation of Paraphrase Systems](https://md.research.elamur.ai/free/en/papers/cohn-2008-constructing-corpora-development-evaluation-paraphrase/) — Trevor Cohn, Chris Callison-Burch, Mirella Lapata · 2008 - [Modeling Local Coherence: An Entity-Based Approach](https://md.research.elamur.ai/free/en/papers/barzilay-2008-modeling-local-coherence-entity-based/) — Regina Barzilay, Mirella Lapata · 2008 - [Dependency-Based Construction of Semantic Space Models](https://md.research.elamur.ai/free/en/papers/pado-2007-dependency-based-construction-semantic-space/) — Sebastian Padó, Mirella Lapata · 2007 - [Inferring Sentence-internal Temporal Relations](https://md.research.elamur.ai/free/en/papers/lapata-2004-inferring-sentence-internal-temporal-relations/) — Mirella Lapata, Alex Lascarides · 2004