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https://paperswithcode.com/paper/context-aware-semantic-similarity-measurement
Submission: On May 08 via manual from AT — Scanned from DE
Submission: On May 08 via manual from AT — Scanned from DE
Form analysis 16 forms found in the DOM
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<div class="modal-body-info-text"> Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets.<br><br>
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<div class="paper-implementations">
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<a href="https://github.com/jorge-martinez-gil/uwsd" class="code-table-link">
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jorge-martinez-gil/uwsd
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<hr>
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<div class="paper-impl-cell"> There is no official implementation </div>
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<hr>
<div class="row align-items-center justify-content-between">
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<div class="paper-impl-cell"> Multiple official implementations </div>
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<div class="custom-control custom-switch">
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<button type="submit" class="btn btn-primary">Submit </button>
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<form action="" method="post">
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<label for="id_task" class=" requiredField"> Task:<span class="asteriskField">*</span>
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<div class="">
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<option value="" selected="">---------</option>
<option value="1786">Semantic Similarity</option>
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</div>
</div>
<div class="add-task-hint"> Not in the list? <a href="#addTask" data-bs-toggle="modal" data-bs-dismiss="modal">Add a
task.</a>
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<button type="submit" class="btn btn-primary"> Submit </button>
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<form action="" method="post">
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<label for="id_task" class=""> Add: </label>
<div class="">
<select name="task" class="modelselect2 form-control" id="id_task" data-autocomplete-light-language="en" data-autocomplete-light-url="/task-autocomplete/" data-autocomplete-light-function="select2">
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</div>
<div class="modal-help-text"> Not in the list?<br>
<a href="#" id="new-task-form-toggle">
<span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"></path></svg></span>
Create a new task</a>.
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<div id="new-task-form" style="display: none">
<div id="div_id_new_task_name" class="form-group">
<label for="id_new_task_name" class=""> New task name: </label>
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<div id="div_id_new_task_desc" class="form-group">
<label for="id_new_task_desc" class=""> Description: </label>
<div class="">
<textarea name="new_task_desc" cols="40" rows="3" class="textarea form-control" id="id_new_task_desc"></textarea>
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<div class="modal-footer">
<button type="submit" class="btn btn-primary"> Submit </button>
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</form>POST
<form action="" method="post">
<div class="modal-body">
<ul class="list-unstyled paper-tasks">
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<li>
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<span>Semantic Similarity</span>
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<li>
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<span class="badge badge-primary">
<img src="https://production-media.paperswithcode.com/tasks/default.gif">
<span>Word Sense Disambiguation</span>
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</form>POST
<form action="" method="post">
<li>
<a href="/task/semantic-similarity">
<span class="badge badge-primary">
<img src="https://production-media.paperswithcode.com/tasks/default.gif">
<span>Semantic Similarity</span>
</span>
</a>
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<input type="hidden" name="remove_task_pk" value="1786">
<button type="submit" class="btn btn-danger" style="width:2.5em">- </button>
</li>
</form>POST
<form action="" method="post">
<li>
<a href="/task/word-sense-disambiguation">
<span class="badge badge-primary">
<img src="https://production-media.paperswithcode.com/tasks/default.gif">
<span>Word Sense Disambiguation</span>
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<input type="hidden" name="remove_task_pk" value="253">
<button type="submit" class="btn btn-danger" style="width:2.5em">- </button>
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</form>POST
<form action="" method="post">
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<div id="div_id_method" class="form-group">
<label for="id_method" class=""> Add: </label>
<div class="">
<select name="method" class="modelselect2 form-control" id="id_method" data-autocomplete-light-language="en" data-autocomplete-light-url="/method-autocomplete/" data-autocomplete-light-function="select2">
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</div>
<div class="modal-help-text"> Not in the list?<br>
<a href="#" id="new-method-form-toggle">
<span class=" icon-wrapper icon-ion" data-name="add"><svg xmlns="http://www.w3.org/2000/svg" width="512" height="512" viewBox="0 0 512 512"><path fill="none" stroke="#000" stroke-linecap="round" stroke-linejoin="round" stroke-width="32" d="M256 112v288m144-144H112"></path></svg></span>
Create a new method</a>.
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<div id="new-method-form" style="display: none">
<div id="div_id_new_method_name" class="form-group">
<label for="id_new_method_name" class="">
<b>New method name</b> (e.g. ReLU): </label>
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<div id="div_id_new_method_full_name" class="form-group">
<label for="id_new_method_full_name" class="">
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* * Browse State-of-the-Art * Datasets * Methods * More Newsletter RC2022 About Trends Portals Libraries * * * Sign In SUBSCRIBE TO THE PWC NEWSLETTER × Stay informed on the latest trending ML papers with code, research developments, libraries, methods, and datasets. Read previous issues Subscribe JOIN THE COMMUNITY × You need to log in to edit. You can create a new account if you don't have one. Or, discuss a change on Slack. EDIT SOCIAL PREVIEW × Description Default Custom Implemented in one code library. Image Default Custom None File is too large Upload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). Close Save ADD A NEW CODE ENTRY FOR THIS PAPER × GitHub, GitLab or BitBucket URL:* Official code from paper authors Submit REMOVE A CODE REPOSITORY FROM THIS PAPER × jorge-martinez-gil/uwsd official 0 - MARK THE OFFICIAL IMPLEMENTATION FROM PAPER AUTHORS × jorge-martinez-gil/uwsd official 0 -------------------------------------------------------------------------------- There is no official implementation -------------------------------------------------------------------------------- Multiple official implementations Submit ADD A NEW EVALUATION RESULT ROW × Task:* --------- Semantic Similarity Word Sense Disambiguation Not in the list? Add a task. Dataset:* --------- Model name:* Metric name:* --------- Higher is better (for the metric) Metric value:* Uses extra training data Data evaluated on Submit ADD A NEW EVALUATION RESULT ROW × TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK REMOVE ADD A TASK × Attached tasks: * SEMANTIC SIMILARITY * WORD SENSE DISAMBIGUATION Add: --------- Not in the list? Create a new task. New task name: Top-level area: --------- Adversarial Audio Computer Code Computer Vision Graphs Knowledge Base Medical Methodology Miscellaneous Music Natural Language Processing Playing Games Reasoning Robots Speech Time Series Parent task (if any): --------- Description: Submit REMOVE A TASK × Semantic Similarity - Word Sense Disambiguation - ADD A METHOD × Attached methods: * SBERT Add: --------- Not in the list? Create a new method. New method name (e.g. ReLU): New method full name (e.g. Rectified Linear Unit): Paper where method was first introduced: --------- Method category (e.g. Activation Functions): If no match, add something for now then you can add a new category afterwards. --------- Markdown description (optional; $\LaTeX$ enabled): You can edit this later, so feel free to start with something succinct. Submit REMOVE A METHOD × SBERT - EDIT DATASETS × Add or remove datasets introduced in this paper: Add or remove other datasets used in this paper: CoarseWSD-20 Paper introduces a new dataset? Add a new dataset here Save CONTEXT-AWARE SEMANTIC SIMILARITY MEASUREMENT FOR UNSUPERVISED WORD SENSE DISAMBIGUATION 5 May 2023 · Jorge Martinez-Gil · Edit social preview The issue of word sense ambiguity poses a significant challenge in natural language processing due to the scarcity of annotated data to feed machine learning models to face the challenge. Therefore, unsupervised word sense disambiguation methods have been developed to overcome that challenge without relying on annotated data. This research proposes a new context-aware approach to unsupervised word sense disambiguation, which provides a flexible mechanism for incorporating contextual information into the similarity measurement process. We experiment with a popular benchmark dataset to evaluate the proposed strategy and compare its performance with state-of-the-art unsupervised word sense disambiguation techniques. The experimental results indicate that our approach substantially enhances disambiguation accuracy and surpasses the performance of several existing techniques. Our findings underscore the significance of integrating contextual information in semantic similarity measurements to manage word sense ambiguity in unsupervised scenarios effectively. PDF Abstract CODE EDIT ADD REMOVE MARK OFFICIAL -------------------------------------------------------------------------------- jorge-martinez-gil/uwsd official 0 jorge-martinez-gil/uwsd official 0 TASKS EDIT ADD REMOVE -------------------------------------------------------------------------------- Semantic Similarity Word Sense Disambiguation DATASETS EDIT -------------------------------------------------------------------------------- CoarseWSD-20 RESULTS FROM THE PAPER EDIT ADD REMOVE -------------------------------------------------------------------------------- Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers. METHODS EDIT ADD REMOVE -------------------------------------------------------------------------------- SBERT Contact us on: hello@paperswithcode.com . Papers With Code is a free resource with all data licensed under CC-BY-SA. Terms Data policy Cookies policy from