Semantic Retrieval
18 papers with code • 1 benchmarks • 2 datasets
Benchmarks
These leaderboards are used to track progress in Semantic Retrieval
| Trend | Dataset | Best Model | Paper | Code | Compare |
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Contract Discovery
Most implemented papers
Revealing the Importance of Semantic Retrieval for Machine Reading at Scale
easonnie/semanticRetrievalMRS
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IJCNLP 2019
In this work, we give general guidelines on system design for MRS by proposing a simple yet effective pipeline system with special consideration on hierarchical semantic retrieval at both paragraph and sentence level, and their potential effects on the downstream task.
MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval
ncbi/medcpt
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In response, we introduce MedCPT, a first-of-its-kind Contrastively Pre-trained Transformer model for zero-shot semantic IR in biomedicine.
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge Distillation
In this work, we use a multilingual knowledge distillation approach to train BERT models to produce sentence embeddings for Ancient Greek text.
Semantic query-by-example speech search using visual grounding
A number of recent studies have started to investigate how speech systems can be trained on untranscribed speech by leveraging accompanying images at training time.
Contract Discovery: Dataset and a Few-Shot Semantic Retrieval Challenge with Competitive Baselines
We propose a new shared task of semantic retrieval from legal texts, in which a so-called contract discovery is to be performed, where legal clauses are extracted from documents, given a few examples of similar clauses from other legal acts.
Deep Unsupervised Image Hashing by Maximizing Bit Entropy
liyunqianggyn/Deep-Unsupervised-Image-Hashing
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This layer is shown to minimize a penalized term of the Wasserstein distance between the learned continuous image features and the optimal half-half bit distribution.
Semantic Models for the First-stage Retrieval: A Comprehensive Review
We believe it is the right time to survey current status, learn from existing methods, and gain some insights for future development.
Evaluation of Audio-Visual Alignments in Visually Grounded Speech Models
khazarkhorrami/VGS_alignment
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We compare the alignment performance using our proposed evaluation metrics to the semantic retrieval task commonly used to evaluate VGS models.
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective Distillation
xuandongzhao/hpd
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Findings (ACL) 2022
How to learn highly compact yet effective sentence representation?
Semantic Information Recovery in Wireless Networks
Thus, we model semantics by means of hidden random variables and define the semantic communication task as the data-reduced and reliable transmission of messages over a communication channel such that semantics is best preserved.
