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05/16/2023
xPQA: Cross-Lingual Product Question Answering across 12 Languages
Product Question Answering (PQA) systems are key in e-commerce applicati...
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03/19/2023
FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering
The widely used Fact-based Visual Question Answering (FVQA) dataset cont...
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01/29/2023
Schema-Guided Semantic Accuracy: Faithfulness in Task-Oriented Dialogue Response Generation
Ensuring that generated utterances are faithful to dialogue actions is c...
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10/07/2022
Retrieval Augmented Visual Question Answering with Outside Knowledge
Outside-Knowledge Visual Question Answering (OK-VQA) is a challenging VQ...
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08/05/2022
Low-Resource Dense Retrieval for Open-Domain Question Answering: A Comprehensive Survey
Dense retrieval (DR) approaches based on powerful pre-trained language m...
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05/13/2022
The Devil is in the Details: On the Pitfalls of Vocabulary Selection in Neural Machine Translation
Vocabulary selection, or lexical shortlisting, is a well-known technique...
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04/08/2022
From Rewriting to Remembering: Common Ground for Conversational QA Models
In conversational QA, models have to leverage information in previous tu...
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04/02/2022
Transformer-Empowered Content-Aware Collaborative Filtering
Knowledge graph (KG) based Collaborative Filtering is an effective appro...
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07/25/2021
Transferable Dialogue Systems and User Simulators
One of the difficulties in training dialogue systems is the lack of trai...
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04/15/2021
First the worst: Finding better gender translations during beam search
Neural machine translation inference procedures like beam search generat...
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04/09/2021
Knowledge-Aware Graph-Enhanced GPT-2 for Dialogue State Tracking
Dialogue State Tracking is a crucial part of multi-domain task-oriented ...
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12/23/2020
TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems
We present a data-driven, end-to-end approach to transaction-based dialo...
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11/13/2020
The Teacher-Student Chatroom Corpus
The Teacher-Student Chatroom Corpus (TSCC) is a collection of written co...
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11/12/2020
Inference-only sub-character decomposition improves translation of unseen logographic characters
Neural Machine Translation (NMT) on logographic source languages struggl...
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10/11/2020
Addressing Exposure Bias With Document Minimum Risk Training: Cambridge at the WMT20 Biomedical Translation Task
The 2020 WMT Biomedical translation task evaluated Medline abstract tran...
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10/11/2020
Neural Machine Translation Doesn't Translate Gender Coreference Right Unless You Make It
Neural Machine Translation (NMT) has been shown to struggle with grammat...
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05/04/2020
Using Context in Neural Machine Translation Training Objectives
We present Neural Machine Translation (NMT) training using document-leve...
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04/09/2020
Reducing Gender Bias in Neural Machine Translation as a Domain Adaptation Problem
Training data for NLP tasks often exhibits gender bias in that fewer sen...
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11/26/2019
Semi-supervised Bootstrapping of Dialogue State Trackers for Task Oriented Modelling
Dialogue systems benefit greatly from optimizing on detailed annotations...
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09/01/2019
Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
A significant barrier to progress in data-driven approaches to building ...
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08/27/2019
On NMT Search Errors and Model Errors: Cat Got Your Tongue?
We report on search errors and model errors in neural machine translatio...
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06/29/2019
The CUED's Grammatical Error Correction Systems for BEA-2019
We describe two entries from the Cambridge University Engineering Depart...
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06/13/2019
UCAM Biomedical translation at WMT19: Transfer learning multi-domain ensembles
The 2019 WMT Biomedical translation task involved translating Medline ab...
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06/11/2019
Cued@wmt19:ewc&lms
Two techniques provide the fabric of the Cambridge University Engineerin...
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06/02/2019
Domain Adaptive Inference for Neural Machine Translation
We investigate adaptive ensemble weighting for Neural Machine Translatio...
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03/25/2019
Neural Grammatical Error Correction with Finite State Transducers
Grammatical error correction (GEC) is one of the areas in natural langua...
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08/29/2018
An Operation Sequence Model for Explainable Neural Machine Translation
We propose to achieve explainable neural machine translation (NMT) by ch...
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08/28/2018
The University of Cambridge's Machine Translation Systems for WMT18
The University of Cambridge submission to the WMT18 news translation tas...
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05/09/2018
Neural Machine Translation Decoding with Terminology Constraints
Despite the impressive quality improvements yielded by neural machine tr...
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05/01/2018
Multi-representation Ensembles and Delayed SGD Updates Improve Syntax-based NMT
We explore strategies for incorporating target syntax into Neural Machin...
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04/30/2018
Accelerating NMT Batched Beam Decoding with LMBR Posteriors for Deployment
We describe a batched beam decoding algorithm for NMT with LMBR n-gram p...
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03/20/2018
Why not be Versatile? Applications of the SGNMT Decoder for Machine Translation
SGNMT is a decoding platform for machine translation which allows paring...
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08/11/2017
Break it Down for Me: A Study in Automated Lyric Annotation
Comprehending lyrics, as found in songs and poems, can pose a challenge ...
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08/05/2017
A Comparison of Neural Models for Word Ordering
We compare several language models for the word-ordering task and propos...
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07/21/2017
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search Strategies
This paper introduces SGNMT, our experimental platform for machine trans...
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04/11/2017
Unfolding and Shrinking Neural Machine Translation Ensembles
Ensembling is a well-known technique in neural machine translation (NMT)...
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12/12/2016
Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices
We present a novel scheme to combine neural machine translation (NMT) wi...
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06/15/2016
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16
This paper presents the University of Cambridge submission to WMT16. Mot...
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05/15/2016
Syntactically Guided Neural Machine Translation
We investigate the use of hierarchical phrase-based SMT lattices in end-...
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04/18/2016
