Benjamin Börschinger
Benjamin Börschinger has 3 papers in our library, in 2013–2022, most of them on English, Question answering, Evaluation & benchmarks; often with Mark Johnson, Abdellah Fourtassi, Christian Buck.
OpenAlex · h-index 10 · 28 works · 741 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 66 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6603
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workPsychology · 2 worksExperimental and Cognitive Psychology · 2 worksDevelopmental and Educational Psychology · 1 work
🧭 Topics 5Research subjects and languages the work is about.Evaluation & benchmarks · 1 workQuestion answering · 1 workEnglish · 2 worksTokenization & segmentation · 1 workPsycholinguistics & language acquisition · 1 work
Works by year
2020s
2010s
Papers
- Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation (2022 · 100 citations)
Question answering systems are usually scored by comparing their output to a small set of human-written reference answers using exact match (EM) or token-level F1. - A joint model of word segmentation and phonological variation for English word-final /t/-deletion (2013 · 13 citations)
Most unsupervised word segmentation models assume every occurrence of a word is pronounced identically. Real speech does not behave this way. The authors target one well-studied case of variation: English word-final /t/-deletion, as when "west" is spoken as [wEs]. They extend the Bayesian Unigram and Bigram… - Why is English so easy to segment? (2013 · 3 citations)
Unsupervised word segmentation systems do much better on English than on other languages. This paper asks whether that gap comes from models being tuned to English or from real properties of the languages. The authors compare English and Japanese, using both child-directed and adult-directed phonemic corpora. They…
All works
- Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering EvaluationConference on Empirical Methods in Natural Language Processing (EMNLP)Jannis Bulian, Christian Buck, Wojciech Gajewski, et al.2022 · 100 citations
- A joint model of word segmentation and phonological variation for English word-final /t/-deletionAnnual Meeting of the Association for Computational Linguistics (ACL)Benjamin Börschinger, Mark Johnson, Katherine Demuth2013 · 13 citations
- Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar ↗Proceedings of the Australasian Language Technology Association Workshop 2011 · no summary yetFrançois Lareau et al.2011 · 13 citations
- Why is English so easy to segment?Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL)Abdellah Fourtassi, Benjamin Börschinger, Mark Johnson, et al.2013 · 3 citations
Co-authors here
- Mark Johnson ×2
- Abdellah Fourtassi
- Christian Buck
- Emmanuel Dupoux
- Jannis Bulian
- Katherine Demuth
- Tal Schuster
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2013
- Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL): CMCL 2013
- Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2022
- Proceedings of the Australasian Language Technology Association Workshop 2011
Cited by
Updated
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