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Julie Weeds
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2020 – today
- 2024
- [c27]Mary Fouad, Julie Weeds:
SussexAI at ArAIEval Shared Task: Mitigating Class Imbalance in Arabic Propaganda Detection. ArabicNLP 2024: 524-529 - 2023
- [j4]Sara Bronwen Hunter, Fiona Mathews, Julie Weeds:
Using hierarchical text classification to investigate the utility of machine learning in automating online analyses of wildlife exploitation. Ecol. Informatics 75: 102076 (2023) - [c26]Theo Rummer-Downing, Julie Weeds:
Leveraging Out-of-the-Box Retrieval Models to Improve Mental Health Support. HEALTHINF 2023: 64-73 - [c25]Qiwei Peng, David J. Weir, Julie Weeds:
Testing Paraphrase Models on Recognising Sentence Pairs at Different Degrees of Semantic Overlap. *SEM@ACL 2023: 259-269 - [i10]Lorenzo Bertolini, Valentina Elce, Adriana Michalak, Giulio Bernardi, Julie Weeds:
Automatic Scoring of Dream Reports' Emotional Content with Large Language Models. CoRR abs/2302.14828 (2023) - [i9]Nestor Prieto-Chavana, Julie Weeds, David J. Weir:
Automated Query Generation for Evidence Collection from Web Search Engines. CoRR abs/2303.08652 (2023) - 2022
- [c24]Qiwei Peng, David J. Weir, Julie Weeds, Yekun Chai:
Predicate-Argument Based Bi-Encoder for Paraphrase Identification. ACL (1) 2022: 5579-5589 - [c23]Wing Yan Li, Julie Weeds, David J. Weir:
MuSeCLIR: A Multiple Senses and Cross-lingual Information Retrieval Dataset. COLING 2022: 1128-1135 - [c22]Lorenzo Bertolini, Julie Weeds, David J. Weir:
Testing Large Language Models on Compositionality and Inference with Phrase-Level Adjective-Noun Entailment. COLING 2022: 4084-4100 - [c21]Qiwei Peng, David J. Weir, Julie Weeds:
Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders. COLING 2022: 4113-4123 - [i8]Qiwei Peng, David J. Weir, Julie Weeds:
Towards Structure-aware Paraphrase Identification with Phrase Alignment Using Sentence Encoders. CoRR abs/2210.05302 (2022) - 2021
- [c20]Lorenzo Bertolini, Julie Weeds, David J. Weir, Qiwei Peng:
Representing Syntax and Composition with Geometric Transformations. ACL/IJCNLP (Findings) 2021: 3343-3353 - [c19]Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir:
Data Augmentation for Hypernymy Detection. EACL 2021: 1034-1048 - [c18]Qiwei Peng, David J. Weir, Julie Weeds:
Structure-aware Sentence Encoder in Bert-Based Siamese Network. RepL4NLP@ACL-IJCNLP 2021: 57-63 - [i7]Lorenzo Bertolini, Julie Weeds, David J. Weir, Qiwei Peng:
Representing Syntax and Composition with Geometric Transformations. CoRR abs/2106.01904 (2021) - 2020
- [c17]Lena Schmidt, Julie Weeds, Julian P. T. Higgins:
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. HEALTHINF 2020: 83-94 - [c16]Dong Wang, Julie Weeds, Ian Comley:
Improving Mental Health using Machine Learning to Assist Humans in the Moderation of Forum Posts. HEALTHINF 2020: 187-197 - [c15]Ahmed Younes, Julie Weeds:
Embed More Ignore Less (EMIL): Exploiting Enriched Representations for Arabic NLP. WANLP@COLING 2020: 139-154 - [i6]Lena Schmidt, Julie Weeds, Julian P. T. Higgins:
Data Mining in Clinical Trial Text: Transformers for Classification and Question Answering Tasks. CoRR abs/2001.11268 (2020) - [i5]Thomas Kober, Julie Weeds, Lorenzo Bertolini, David J. Weir:
Data Augmentation for Hypernymy Detection. CoRR abs/2005.01854 (2020)
2010 – 2019
- 2017
- [c14]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. ACL (2) 2017: 433-440 - [c13]Julie Weeds, Thomas Kober, Jeremy Reffin, David J. Weir:
When a Red Herring in Not a Red Herring: Using Compositional Methods to Detect Non-Compositional Phrases. EACL (2) 2017: 529-534 - [i4]Thomas Kober, Julie Weeds, John Wilkie, Jeremy Reffin, David J. Weir:
One Representation per Word - Does it make Sense for Composition? CoRR abs/1702.06696 (2017) - [i3]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Semantic Composition with Offset Inference. CoRR abs/1704.06692 (2017) - 2016
- [j3]David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober:
Aligning Packed Dependency Trees: A Theory of Composition for Distributional Semantics. Comput. Linguistics 42(4): 727-761 (2016) - [c12]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. EMNLP 2016: 1691-1702 - [c11]Miroslav Batchkarov, Thomas Kober, Jeremy Reffin, Julie Weeds, David J. Weir:
A critique of word similarity as a method for evaluating distributional semantic models. RepEval@ACL 2016: 7-12 - [i2]Thomas Kober, Julie Weeds, Jeremy Reffin, David J. Weir:
Improving Sparse Word Representations with Distributional Inference for Semantic Composition. CoRR abs/1608.06794 (2016) - [i1]David J. Weir, Julie Weeds, Jeremy Reffin, Thomas Kober:
Aligning Packed Dependency Trees: a theory of composition for distributional semantics. CoRR abs/1608.07115 (2016) - 2014
- [c10]Julie Weeds, David J. Weir, Jeremy Reffin:
Distributional Composition using Higher-Order Dependency Vectors. CVSC@EACL 2014: 11-20 - [c9]Julie Weeds, Daoud Clarke, Jeremy Reffin, David J. Weir, Bill Keller:
Learning to Distinguish Hypernyms and Co-Hyponyms. COLING 2014: 2249-2259
2000 – 2009
- 2007
- [j2]Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll:
Unsupervised Acquisition of Predominant Word Senses. Comput. Linguistics 33(4): 553-590 (2007) - 2005
- [j1]Julie Weeds, David J. Weir:
Co-occurrence Retrieval: A Flexible Framework for Lexical Distributional Similarity. Comput. Linguistics 31(4): 439-475 (2005) - [c8]Julie Weeds, David J. Weir, Bill Keller:
The Distributional Similarity of Sub-Parses. EMSEE@ACL 2005: 7-12 - [c7]Bill Keller, Tim Owen, Ian Wakeman, Julie Weeds, David J. Weir:
Middleware for User Controlled Environments. PerCom Workshops 2005: 183-188 - [c6]Tim Owen, Ian Wakeman, Bill Keller, Julie Weeds, David J. Weir:
Managing the Policies of Non-Technical Users in a Dynamic World. POLICY 2005: 251-254 - 2004
- [c5]Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll:
Finding Predominant Word Senses in Untagged Text. ACL 2004: 279-286 - [c4]Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll:
Automatic Identification of Infrequent Word Senses. COLING 2004 - [c3]Julie Weeds, David J. Weir, Diana McCarthy:
Characterising Measures of Lexical Distributional Similarity. COLING 2004 - [c2]Diana McCarthy, Rob Koeling, Julie Weeds, John Carroll:
Using automatically acquired predominant senses for Word Sense Disambiguation. SENSEVAL@ACL 2004 - 2003
- [c1]Julie Weeds, David J. Weir:
A General Framework for Distributional Similarity. EMNLP 2003
Coauthor Index
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last updated on 2024-10-08 20:34 CEST by the dblp team
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