WikiNet: A Very Large Scale Multi-Lingual Concept Network. - Vivi Nastase; Michael Strube 001; Benjamin Börschinger; Cäcilia Zirn; Anas Elghafari (LREC, 2010)

A Particle Filter algorithm for Bayesian Wordsegmentation. - Benjamin Börschinger; Mark Johnson 001 (ALTA, 2011)

Collocations in Multilingual Natural Language Generation: Lexical Functions meet Lexical Functional Grammar. - François Lareau; Mark Dras; Benjamin Börschinger; Robert Dale (ALTA, 2011)

Reducing Grounded Learning Tasks To Grammatical Inference. - Benjamin Börschinger; Bevan K. Jones; Mark Johnson 001 (EMNLP, 2011)

Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation. - Benjamin Börschinger; Mark Johnson 001 (ACL (2), 2012)

Modeling online word segmentation performance in structured artificial languages. - Stephan C. Meylan; Chigusa Kurumada; Mike Frank; Benjamin Börschinger; Mark Johnson 001 (CogSci, 2012)

Studying the Effect of Input Size for Bayesian Word Segmentation on the Providence Corpus. - Benjamin Börschinger; Katherine Demuth; Mark Johnson 001 (COLING, 2012)

Why is English so easy to segment? - Abdellah Fourtassi; Benjamin Börschinger; Mark Johnson 001; Emmanuel Dupoux (CMCL, 2013)

A joint model of word segmentation and phonological variation for English word-final /t/-deletion. - Benjamin Börschinger; Mark Johnson 001; Katherine Demuth (ACL (1), 2013)

A summary of the 2012 JHU CLSP workshop on zero resource speech technologies and models of early language acquisition. - Aren Jansen; Emmanuel Dupoux; Sharon Goldwater; Mark Johnson 001; Sanjeev Khudanpur; Kenneth Church 001; Naomi Feldman; Hynek Hermansky; Florian Metze; Richard C. Rose; Mike Seltzer; Pascal Clark; et al. (ICASSP, 2013)

Unsupervised Word Segmentation in Context. - Gabriel Synnaeve; Isabelle Dautriche; Benjamin Börschinger; Mark Johnson 001; Emmanuel Dupoux (COLING, 2014)

Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars. - Benjamin Börschinger; Mark Johnson 001 (Trans. Assoc. Comput. Linguistics, 2014)

A Computationally Efficient Algorithm for Learning Topical Collocation Models. - Zhendong Zhao; Lan Du 002; Benjamin Börschinger; John K. Pate; Massimiliano Ciaramita; Mark Steedman; Mark Johnson 001 (ACL (1), 2015)

Exploring issues in lexikal acquisition using Bayesan modeling. - Benjamin Börschinger (2018)

Meta Answering for Machine Reading. - Benjamin Börschinger; Jordan L. Boyd-Graber; Christian Buck; Jannis Bulian; Massimiliano Ciaramita; Michelle Chen Huebscher; Wojciech Gajewski; Yannic Kilcher; Rodrigo Nogueira 001; Lierni Sestorain Saralegu (CoRR, 2019)

What Question Answering can Learn from Trivia Nerds. - Jordan L. Boyd-Graber; Benjamin Börschinger (ACL, 2020)

Fool Me Twice: Entailment from Wikipedia Gamification. - Julian Martin Eisenschlos; Bhuwan Dhingra; Jannis Bulian; Benjamin Börschinger; Jordan L. Boyd-Graber (NAACL-HLT, 2021)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann 001; Yannic Kilcher (CoRR, 2021)

Tomayto, Tomahto. Beyond Token-level Answer Equivalence for Question Answering Evaluation. - Jannis Bulian; Christian Buck; Wojciech Gajewski; Benjamin Börschinger; Tal Schuster (EMNLP, 2022)

Boosting Search Engines with Interactive Agents. - Leonard Adolphs; Benjamin Börschinger; Christian Buck; Michelle Chen Huebscher; Massimiliano Ciaramita; Lasse Espeholt; Thomas Hofmann 001; Yannic Kilcher; Sascha Rothe; Pier Giuseppe Sessa; Lierni Sestorain (Trans. Mach. Learn. Res., 2022)