[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/authors/jennifer-foster/) [home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/) / Jennifer Foster # Jennifer Foster 8 paper cards in Mova's library · 2004–2021 Jennifer Foster wrote 8 of the papers Mova reads, in 2004–2021, most of them on [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/); often with [Josef van Genabith](https://md.mova.elamur.ai/free/en/docs/papers/authors/josef-van-genabith/), [Alexander O'Connor](https://md.mova.elamur.ai/free/en/docs/papers/authors/alexander-o-connor/), [Henry Elder](https://md.mova.elamur.ai/free/en/docs/papers/authors/henry-elder/). [OpenAlex](https://openalex.org/A5066497689) · [ORCID](https://orcid.org/0000-0002-7789-4853) · [**h-index 23**](https://openalex.org/authors/A5066497689) · [2298 citations](https://openalex.org/authors/A5066497689) · [125 works](https://openalex.org/works?filter=author.id:A5066497689) — openalex, 2026-10-18 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=Jennifer+Foster) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jennifer+Foster) · [dblp](https://dblp.org/search?q=Jennifer+Foster) · [ACL Anthology](https://aclanthology.org/search/?q=Jennifer+Foster) · [ORCID](https://orcid.org/orcid-search/search?searchQuery=Jennifer+Foster) Topics: [Machine translation](https://md.mova.elamur.ai/free/en/docs/papers/topics/machine-translation/) 1 ## Papers 1. **[English Machine Reading Comprehension Datasets: A Survey](https://md.mova.elamur.ai/free/en/docs/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/)** *(2021)* The paper surveys 60 English reading-comprehension datasets. Each is described by answer form (cloze, multiple choice, extractive, generative), question form (statement, query, question), passage reasoning (simple, multi-hop, extended), data source and creation method, with size, vocabulary, human performance and… 2. **[Shape of Synth to Come: Why We Should Use Synthetic Data for English Surface Realization](https://md.mova.elamur.ai/free/en/docs/papers/elder-2020-shape-synth-come-why-we/)** *(2020)* Surface realization turns a UD-like tree of lemmas back into a sentence with word order and inflection. The system is a bidirectional LSTM encoder-decoder trained on the English EWT data of the 2018 shared task (12,375 training sentences, 1,978 dev, 2,062 test). Three changes (several random linearisations per tree… 3. **[Designing a Symbolic Intermediate Representation for Neural Surface Realization](https://md.mova.elamur.ai/free/en/docs/papers/elder-2019-designing-symbolic-intermediate-representation-neural/)** *(2019)* Neural generators often hallucinate, repeat or contradict the input. The paper proposes a symbolic intermediate representation between the content and the text. First a model turns each reference sentence of the E2E restaurant data into this representation, and then a second neural model realises the text from it.… 4. **["cba to check the spelling": Investigating Parser Performance on Discussion Forum Posts](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2010-foster-cba-check-spelling-investigating-parser/)** *(2010)* The question is how a WSJ-trained parser copes with forum posts. The author evaluates the Berkeley parser (five split-merge cycles, trained on WSJ sections 2-21) on posts from a BBC Sport football forum, under three conditions: the parser's own tokenisation, gold tokens, and gold tokens with corrected spelling. The… 5. **[Adapting a WSJ-Trained Parser to Grammatically Noisy Text](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2008-foster-adapting-wsj-trained-parser-grammatically/)** *(2008)* The paper makes a treebank of ungrammatical English by injecting one or two errors into Penn Treebank sentences and changing the tree only at the yield. 6. **[Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2008-foster-parser-evaluation-bnc-evaluating-4/)** *(2008)* The paper builds a new test set of 1,000 hand-corrected British National Corpus parse trees, chosen so that each sentence has a verb that is unseen in the WSJ training sections. 7. **[Adapting WSJ-Trained Parsers to the British National Corpus Using In-Domain Self-Training](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2007-foster-adapting-wsj-trained-parsers-british/)** *(2007)* The question is whether a parser trained on WSJ text can be adapted to another domain without new annotation. 8. **[Parsing Ungrammatical Input: An Evaluation Procedure](https://md.mova.elamur.ai/free/en/docs/papers/lingbulk-2004-foster-parsing-ungrammatical-input-evaluation-procedure/)** *(2004)* The question is how well a parser handles an ungrammatical sentence. The method needs two parallel corpora: ungrammatical sentences and their corrected versions. Each ungrammatical sentence is parsed, and its parse is scored against the parse of each correction produced by the same parser; the best score counts. The… ## Co-authors (9) - [Josef van Genabith](https://md.mova.elamur.ai/free/en/docs/papers/authors/josef-van-genabith/) ×3 - [Alexander O'Connor](https://md.mova.elamur.ai/free/en/docs/papers/authors/alexander-o-connor/) ×2 - [Henry Elder](https://md.mova.elamur.ai/free/en/docs/papers/authors/henry-elder/) ×2 - [Joachim Wagner](https://md.mova.elamur.ai/free/en/docs/papers/authors/joachim-wagner/) ×2 - Carl Vogel - Daria Dzendzik - [Djamé Seddah](https://md.mova.elamur.ai/free/en/docs/papers/authors/djame-seddah/) - James Barry - Robert Burke - [← previous Jenna Kanerva](https://md.mova.elamur.ai/free/en/docs/papers/authors/jenna-kanerva/) - [next → Jennifer Hu](https://md.mova.elamur.ai/free/en/docs/papers/authors/jennifer-hu/) - [↑ back to Authors](https://md.mova.elamur.ai/free/en/docs/papers/authors/)