A simple and efficient text matching model based on deep interaction
C Yu, H Xue, Y Jiang, L An, G Li - Information Processing & Management, 2021 - Elsevier
In recent years, text matching has gained increasing research focus and shown great
improvements. However, due to the long-distance dependency and polysemy, existing text …
improvements. However, due to the long-distance dependency and polysemy, existing text …
Learning interpretable word embeddings via bidirectional alignment of dimensions with semantic concepts
We propose bidirectional imparting or BiImp, a generalized method for aligning embedding
dimensions with concepts during the embedding learning phase. While preserving the …
dimensions with concepts during the embedding learning phase. While preserving the …
Eating healthier: Exploring nutrition information for healthier recipe recommendation
With the booming of personalized recipe sharing networks (eg, Yummly), a deluge of recipes
from different cuisines could be obtained easily. In this paper, we aim to solve a problem …
from different cuisines could be obtained easily. In this paper, we aim to solve a problem …
RelaGraph: Improving embedding on small-scale sparse knowledge graphs by neighborhood relations
B Shi, H Wang, Y Li, S Deng - Information Processing & Management, 2023 - Elsevier
Learning a continuous dense low-dimensional representation of knowledge graphs (KGs),
known as knowledge graph embedding (KGE), has been viewed as the key to intelligent …
known as knowledge graph embedding (KGE), has been viewed as the key to intelligent …
Learning to rank and predict: multi-task learning for ad hoc retrieval and query performance prediction
The ad hoc retrieval task aims at ranking relevant documents to a user query such that the
most relevant documents are ranked higher compared to less relevant ones. Given the …
most relevant documents are ranked higher compared to less relevant ones. Given the …
Gender fairness in information retrieval systems
Recent studies have shown that it is possible for stereotypical gender biases to find their
way into representational and algorithmic aspects of retrieval methods; hence, exhibit …
way into representational and algorithmic aspects of retrieval methods; hence, exhibit …
[HTML][HTML] Topics of the nationwide phone-ins with Vladimir Putin and their role for public support and Russian economy
I Savin, N Teplyakov - Information Processing & Management, 2022 - Elsevier
The addresses of national leaders can affect their public support and spur changes in the
country's economy. To date, very few studies exist establishing these relationships, and no …
country's economy. To date, very few studies exist establishing these relationships, and no …
Extracting temporal and causal relations based on event networks
Event relations specify how different event flows expressed within the context of a textual
passage relate to each other in terms of temporal and causal sequences. There have …
passage relate to each other in terms of temporal and causal sequences. There have …
An end-to-end pseudo relevance feedback framework for neural document retrieval
Pseudo relevance feedback (PRF) is commonly used to boost the performance of traditional
information retrieval (IR) models by using top-ranked documents to identify and weight new …
information retrieval (IR) models by using top-ranked documents to identify and weight new …
A Purely Entity-Based Semantic Search Approach for Document Retrieval
Over the past decade, knowledge bases (KB) have been increasingly utilized to complete
and enrich the representation of queries and documents in order to improve the document …
and enrich the representation of queries and documents in order to improve the document …