35 papers with code • 2 benchmarks • 3 datasets
These leaderboards are used to track progress in text similarity
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.
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
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.
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.
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.
Rhetorical elements from scientific publications provide a more structured view of the document and allow algorithms to focus on particular parts of the text.