text similarity
35 papers with code • 2 benchmarks • 3 datasets
Benchmarks
These leaderboards are used to track progress in text similarity
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Italian Crime News
Most implemented papers
Stacked Cross Attention for Image-Text Matching
Prior work either simply aggregates the similarity of all possible pairs of regions and words without attending differentially to more and less important words or regions, or uses a multi-step attentional process to capture limited number of semantic alignments which is less interpretable.
Query-based Attention CNN for Text Similarity Map
This network is composed of compare mechanism, two-staged CNN architecture with attention mechanism, and a prediction layer.
Matching Images and Text with Multi-modal Tensor Fusion and Re-ranking
Wangt-CN/MTFN-RR-PyTorch-Code
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We propose a novel framework that achieves remarkable matching performance with acceptable model complexity.
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions
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Proceedings of the Australasian Computer Science Week Multi-conference (ACSW 2020) 2020
This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model.
Effective Crowd-Annotation of Participants, Interventions, and Outcomes in the Text of Clinical Trial Reports
Obtaining such a corpus from crowdworkers, however, has been shown to be ineffective since (i) workers usually lack domain-specific expertise to conduct the task with sufficient quality, and (ii) the standard approach of annotating entire abstracts of trial reports as one task-instance (i. e. HIT) leads to an uneven distribution in task effort.
Deep Generative Model for Joint Alignment and Word Representation
uva-slpl/embedalign
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NAACL 2018
This work exploits translation data as a source of semantically relevant learning signal for models of word representation.
Large-Scale Cover Song Detection in Digital Music Libraries Using Metadata, Lyrics and Audio Features
In this work, we investigate whether textual music information (such as metadata and lyrics) can be used along with audio for large-scale cover identification problem in a wide digital music library.
Using Sentiment Induction to Understand Variation in Gendered Online Communities
We analyze gendered communities defined in three different ways: text, users, and sentiment.
Automating the search for a patent's prior art with a full text similarity search
helmersl/patent_similarity_search
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The evaluation results show that our automated approach, besides accelerating the search process, also improves the search results for prior art with respect to their quality.
Evaluation of Scientific Elements for Text Similarity in Biomedical Publications
Rhetorical elements from scientific publications provide a more structured view of the document and allow algorithms to focus on particular parts of the text.
