[ΒΙΒΛΙΟ][B] Entity-oriented search
K Balog - 2018 - library.oapen.org
This open access book covers all facets of entity-oriented search—where “search” can be
interpreted in the broadest sense of information access—from a unified point of view, and …
interpreted in the broadest sense of information access—from a unified point of view, and …
DBpedia-entity v2: a test collection for entity search
The DBpedia-entity collection has been used as a standard test collection for entity search in
recent years. We develop and release a new version of this test collection, DBpedia-Entity …
recent years. We develop and release a new version of this test collection, DBpedia-Entity …
Identifying and exploiting target entity type information for ad hoc entity retrieval
Today, the practice of returning entities from a knowledge base in response to search
queries has become widespread. One of the distinctive characteristics of entities is that they …
queries has become widespread. One of the distinctive characteristics of entities is that they …
Semantic answer type prediction using bert: Iai at the iswc smart task 2020
This paper summarizes our participation in the SMART Task of the ISWC 2020 Challenge. A
particular question we are interested in answering is how well neural methods, and …
particular question we are interested in answering is how well neural methods, and …
Improving answer type classification quality through combined question answering datasets
Understanding what a person is asking via a question is one of the first steps that humans
use to find the corresponding answer. The same is true for Question Answering (QA) …
use to find the corresponding answer. The same is true for Question Answering (QA) …
Type linking for query understanding and semantic search
Huawei is currently undertaking an effort to build map and web search services using query
understanding and semantic search techniques. We present our efforts to built a low-latency …
understanding and semantic search techniques. We present our efforts to built a low-latency …
Contextualizing trending entities in news stories
Trends are those keywords, phrases, or names that are mentioned most often on social
media or in news in a particular timeframe. They are an effective way for human news …
media or in news in a particular timeframe. They are an effective way for human news …
Leveraging fine-grained Wikipedia categories for entity search
D Ma, Y Chen, KCC Chang, X Du, C Xu… - Proceedings of the 2018 …, 2018 - dl.acm.org
Ad-hoc entity search, which is to retrieve a ranked list of relevant entities in response to a
query of natural language question, has been widely studied. It has been shown that …
query of natural language question, has been widely studied. It has been shown that …
Extreme Classification for Answer Type Prediction in Question Answering
V Setty - 2023 ACM/IEEE Joint Conference on Digital Libraries …, 2023 - ieeexplore.ieee.org
Semantic answer type prediction (SMART) is known to be a useful step towards designing
effective question answering (QA) systems. The SMART task involves predicting the top-k …
effective question answering (QA) systems. The SMART task involves predicting the top-k …
Entity Examples for Explainable Query Target Type Identification with LLMs
D Garigliotti - … Conference on Intelligent Data Engineering and …, 2024 - Springer
When answering a user query with relevant entities from a knowledge base (KB), utilizing
their semantic class or type information typically structured in the KB is known to improve the …
their semantic class or type information typically structured in the KB is known to improve the …