default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJulie Weeds
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c27]Mary Fouad, Julie Weeds:
SussexAI at ArAIEval Shared Task: Mitigating Class Imbalance in Arabic Propaganda Detection. ArabicNLP 2024: 524-529- [i11]Huma Perveen, Julie Weeds:
Protein sequence classification using natural language processing techniques. CoRR abs/2409.04491 (2024) - 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 21:17 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
