Search Results for author: Christian Buck

Found 18 papers, 2 papers with code

Meta Answering for Machine Reading

no code implementations11 Nov 2019 Benjamin Borschinger, Jordan Boyd-Graber, Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Michelle Chen Huebscher, Wojciech Gajewski, Yannic Kilcher, Rodrigo Nogueira, Lierni Sestorain Saralegu

We investigate a framework for machine reading, inspired by real world information-seeking problems, where a meta question answering system interacts with a black box environment.

Information Seeking Question Answering +1

Zero-Shot Dual Machine Translation

1 code implementation25 May 2018 Lierni Sestorain, Massimiliano Ciaramita, Christian Buck, Thomas Hofmann

Our method can obtain improvements also on the setting where a small amount of parallel data for the zero-shot language pair is available.

Machine Translation Translation

Analyzing Language Learned by an Active Question Answering Agent

no code implementations23 Jan 2018 Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang

We analyze the language learned by an agent trained with reinforcement learning as a component of the ActiveQA system [Buck et al., 2017].

Information Retrieval Question Answering

Ask the Right Questions: Active Question Reformulation with Reinforcement Learning

2 code implementations ICLR 2018 Christian Buck, Jannis Bulian, Massimiliano Ciaramita, Wojciech Gajewski, Andrea Gesmundo, Neil Houlsby, Wei Wang

The agent probes the system with, potentially many, natural language reformulations of an initial question and aggregates the returned evidence to yield the best answer.

Information Retrieval Question Answering

N-gram Counts and Language Models from the Common Crawl

no code implementations LREC 2014 Christian Buck, Kenneth Heafield, Bas van Ooyen

We contribute 5-gram counts and language models trained on the Common Crawl corpus, a collection over 9 billion web pages.

Machine Translation Speech Recognition

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