activity
20162020
most citedUsing Similarity Measures to Select Pretraining Data for NER

18 citations · 37 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CL2020★ 2 cited

Cost-effective Selection of Pretraining Data: A Case Study of Pretraining BERT on Social Media

Xiang Dai, Sarvnaz Karimi, Ben Hachey +1

Recent studies on domain-specific BERT models show that effectiveness on downstream tasks can be improved when models are pretrained on in-domain data. Often, the pretraining data…

cs.CL2020★ 1 cited

An Effective Transition-based Model for Discontinuous NER

Xiang Dai, Sarvnaz Karimi, Ben Hachey +1

Unlike widely used Named Entity Recognition (NER) data sets in generic domains, biomedical NER data sets often contain mentions consisting of discontinuous spans. Conventional sequ…

cs.CL2019

NNE: A Dataset for Nested Named Entity Recognition in English Newswire

Nicky Ringland, Xiang Dai, Ben Hachey +3

Named entity recognition (NER) is widely used in natural language processing applications and downstream tasks. However, most NER tools target flat annotation from popular datasets…

cs.CL2019★ 18 cited

Using Similarity Measures to Select Pretraining Data for NER

Xiang Dai, Sarvnaz Karimi, Ben Hachey +1

Word vectors and Language Models (LMs) pretrained on a large amount of unlabelled data can dramatically improve various Natural Language Processing (NLP) tasks. However, the measur…

cs.CL2017★ 13 cited

Learning to generate one-sentence biographies from Wikidata

Andrew Chisholm, Will Radford, Ben Hachey

We investigate the generation of one-sentence Wikipedia biographies from facts derived from Wikidata slot-value pairs. We train a recurrent neural network sequence-to-sequence mode…

cs.CL2017

Post-edit Analysis of Collective Biography Generation

Bo Han, Will Radford, Anaïs Cadilhac +3

Text generation is increasingly common but often requires manual post-editing where high precision is critical to end users. However, manual editing is expensive so we want to ensu…

cs.CL2016★ 3 cited

:telephone::person::sailboat::whale::okhand:; or "Call me Ishmael" - How do you translate emoji?

Will Radford, Andrew Chisholm, Ben Hachey +1

We report on an exploratory analysis of Emoji Dick, a project that leverages crowdsourcing to translate Melville's Moby Dick into emoji. This distinctive use of emoji removes textu…

cs.CL2016

Presenting a New Dataset for the Timeline Generation Problem

Xavier Holt, Will Radford, Ben Hachey

The timeline generation task summarises an entity's biography by selecting stories representing key events from a large pool of relevant documents. This paper addresses the lack of…