A General Framework for Distributional Similarity. - Julie Weeds; David J. Weir (EMNLP, 2003)

Finding Predominant Word Senses in Untagged Text. - Diana McCarthy; Rob Koeling; Julie Weeds; John Carroll 001 (ACL, 2004)

Automatic Identification of Infrequent Word Senses. - Diana McCarthy; Rob Koeling; Julie Weeds; John Carroll 001 (COLING, 2004)

Characterising Measures of Lexical Distributional Similarity. - Julie Weeds; David J. Weir; Diana McCarthy (COLING, 2004)

Using automatically acquired predominant senses for Word Sense Disambiguation. - Diana McCarthy; Rob Koeling; Julie Weeds; John Carroll 001 (SENSEVAL@ACL, 2004)

The Distributional Similarity of Sub-Parses. - Julie Weeds; David J. Weir; Bill Keller (EMSEE@ACL, 2005)

Middleware for User Controlled Environments. - Bill Keller; Tim Owen; Ian Wakeman; Julie Weeds; David J. Weir (PerCom Workshops, 2005)

Managing the Policies of Non-Technical Users in a Dynamic World. - Tim Owen; Ian Wakeman; Bill Keller; Julie Weeds; David J. Weir (POLICY, 2005)

Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity. - Julie Weeds; David J. Weir (Comput. Linguistics, 2005)

Unsupervised Acquisition of Predominant Word Senses. - Diana McCarthy; Rob Koeling; Julie Weeds; John Carroll 001 (Comput. Linguistics, 2007)

Distributional Composition using Higher-Order Dependency Vectors. - Julie Weeds; David J. Weir; Jeremy Reffin (CVSC@EACL, 2014)

Learning to Distinguish Hypernyms and Co-Hyponyms. - Julie Weeds; Daoud Clarke; Jeremy Reffin; David J. Weir; Bill Keller (COLING, 2014)

Improving Sparse Word Representations with Distributional Inference for Semantic Composition. - Thomas Kober 001; Julie Weeds; Jeremy Reffin; David J. Weir (EMNLP, 2016)

A critique of word similarity as a method for evaluating distributional semantic models. - Miroslav Batchkarov; Thomas Kober 001; Jeremy Reffin; Julie Weeds; David J. Weir (RepEval@ACL, 2016)

Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics. - David J. Weir; Julie Weeds; Jeremy Reffin; Thomas Kober 001 (Comput. Linguistics, 2016)

Improving Semantic Composition with Offset Inference. - Thomas Kober 001; Julie Weeds; Jeremy Reffin; David J. Weir (ACL (2), 2017)

When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases. - Julie Weeds; Thomas Kober 001; Jeremy Reffin; David J. Weir (EACL (2), 2017)

One Representation per Word - Does it make Sense for Composition? - Thomas Kober 001; Julie Weeds; John Wilkie; Jeremy Reffin; David J. Weir (CoRR, 2017)

Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. - Lena Schmidt; Julie Weeds; Julian P. T. Higgins (HEALTHINF, 2020)

Improving Mental Health using Machine Learning to Assist Humans in the Moderation of Forum Posts. - Dong Wang; Julie Weeds; Ian Comley (HEALTHINF, 2020)

Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP. - Ahmed Younes; Julie Weeds (WANLP@COLING, 2020)

Representing Syntax and Composition with Geometric Transformations. - Lorenzo Bertolini; Julie Weeds; David J. Weir; Qiwei Peng 002 (ACL/IJCNLP (Findings), 2021)

Data Augmentation for Hypernymy Detection. - Thomas Kober 001; Julie Weeds; Lorenzo Bertolini; David J. Weir (EACL, 2021)

Structure-aware Sentence Encoder in Bert-Based Siamese Network. - Qiwei Peng 002; David J. Weir; Julie Weeds (RepL4NLP@ACL-IJCNLP, 2021)

Predicate-Argument Based Bi-Encoder for Paraphrase Identification. - Qiwei Peng 002; David J. Weir; Julie Weeds; Yekun Chai (ACL (1), 2022)

Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders. - Qiwei Peng 002; David J. Weir; Julie Weeds (COLING, 2022)

Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment. - Lorenzo Bertolini; Julie Weeds; David J. Weir (COLING, 2022)

MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval Dataset. - Wing Yan Li; Julie Weeds; David J. Weir (COLING, 2022)

Leveraging Out-of-the-Box Retrieval Models to Improve Mental Health Support. - Theo Rummer-Downing; Julie Weeds (HEALTHINF, 2023)

Testing Paraphrase Models on Recognising Sentence Pairs at Different Degrees of Semantic Overlap. - Qiwei Peng 002; David J. Weir; Julie Weeds (*SEM@ACL, 2023)

Automatic Scoring of Dream Reports' Emotional Content with Large Language Models. - Lorenzo Bertolini; Valentina Elce; Adriana Michalak; Giulio Bernardi 003; Julie Weeds (CoRR, 2023)

Automated Query Generation for Evidence Collection from Web Search Engines. - Nestor Prieto-Chavana; Julie Weeds; David J. Weir (CoRR, 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, 2023)

SussexAI at ArAIEval Shared Task: Mitigating Class Imbalance in Arabic Propaganda Detection. - Mary Fouad; Julie Weeds (ArabicNLP, 2024)

Protein sequence classification using natural language processing techniques. - Huma Perveen; Julie Weeds (Discov. Artif. Intell., 2025)