Julie Weeds

According to our database, Julie Weeds authored at least 33 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation.

Sara Bronwen Hunter, Fiona Mathews, Julie Weeds

Ecol. Informatics, July, 2023

Automated Query Generation for Evidence Collection from Web Search Engines.

Nestor Prieto-Chavana, Julie Weeds, David J. Weir

CoRR, 2023

Automatic Scoring of Dream Reports' Emotional Content with Large Language Models.

Lorenzo Bertolini, Valentina Elce, Adriana Michalak, Giulio Bernardi, Julie Weeds

CoRR, 2023

Testing Paraphrase Models on Recognising Sentence Pairs at Different Degrees of Semantic Overlap.

Qiwei Peng, David J. Weir, Julie Weeds

Proceedings of the The 12th Joint Conference on Lexical and Computational Semantics, 2023

Leveraging Out-of-the-Box Retrieval Models to Improve Mental Health Support.

Theo Rummer-Downing, Julie Weeds

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval Dataset.

Wing Yan Li, Julie Weeds, David J. Weir

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment.

Lorenzo Bertolini, Julie Weeds, David J. Weir

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders.

Qiwei Peng, David J. Weir, Julie Weeds

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Predicate-Argument Based Bi-Encoder for Paraphrase Identification.

Qiwei Peng, David J. Weir, Julie Weeds, Yekun Chai

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Structure-aware Sentence Encoder in Bert-Based Siamese Network.

Qiwei Peng, David J. Weir, Julie Weeds

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

Data Augmentation for Hypernymy Detection.

Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Representing Syntax and Composition with Geometric Transformations.

Lorenzo Bertolini, Julie Weeds, David J. Weir, Qiwei Peng

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP.

Ahmed Younes, Julie Weeds

Proceedings of the Fifth Arabic Natural Language Processing Workshop, 2020

Improving Mental Health using Machine Learning to Assist Humans in the Moderation of Forum Posts.

Dong Wang, Julie Weeds, Ian Comley

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks.

Lena Schmidt, Julie Weeds, Julian P. T. Higgins

Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020), 2020

2017

One Representation per Word - Does it make Sense for Composition?

Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir

CoRR, 2017

When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases.

Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

Improving Semantic Composition with Offset Inference.

Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics.

David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober

Comput. Linguistics, 2016

A critique of word similarity as a method for evaluating distributional semantic models.

Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir

Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP, 2016

Improving Sparse Word Representations with Distributional Inference for Semantic Composition.

Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2014

Learning to Distinguish Hypernyms and Co-Hyponyms.

Julie Weeds, Daoud Clarke, Jeremy Reffin, David J. Weir, Bill Keller

Proceedings of the COLING 2014, 2014

Distributional Composition using Higher-Order Dependency Vectors.

Julie Weeds, David J. Weir, Jeremy Reffin

Proceedings of the 2nd Workshop on Continuous Vector Space Models and their Compositionality, 2014

2007

Unsupervised Acquisition of Predominant Word Senses.

Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll

Comput. Linguistics, 2007

2005

Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity.

Julie Weeds, David J. Weir

Comput. Linguistics, 2005

Managing the Policies of Non-Technical Users in a Dynamic World.

Tim Owen, Ian Wakeman, Bill Keller, Julie Weeds, David J. Weir

Proceedings of the 6th IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY 2005), 2005

Middleware for User Controlled Environments.

Bill Keller, Tim Owen, Ian Wakeman, Julie Weeds, David J. Weir

Proceedings of the 3rd IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2005 Workshops), 2005

The Distributional Similarity of Sub-Parses.

Julie Weeds, David J. Weir, Bill Keller

Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment@ACL 2005, 2005

2004

Using automatically acquired predominant senses for Word Sense Disambiguation.

Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll

Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, 2004

Characterising Measures of Lexical Distributional Similarity.

Julie Weeds, David J. Weir, Diana McCarthy

Proceedings of the COLING 2004, 2004

Automatic Identification of Infrequent Word Senses.

Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll

Proceedings of the COLING 2004, 2004

Finding Predominant Word Senses in Untagged Text.

Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003

A General Framework for Distributional Similarity.

Julie Weeds, David J. Weir

Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003