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Complex temporal question answering on knowledge graphs
Question answering over knowledge graphs (KG-QA) is a vital topic in IR. Questions with
temporal intent are a special class of practical importance, but have not received much …
temporal intent are a special class of practical importance, but have not received much …
Time masking for temporal language models
Our world is constantly evolving, and so is the content on the web. Consequently, our
languages, often said to mirror the world, are dynamic in nature. However, most current …
languages, often said to mirror the world, are dynamic in nature. However, most current …
Temporal attention for language models
Pretrained language models based on the transformer architecture have shown great
success in NLP. Textual training data often comes from the web and is thus tagged with time …
success in NLP. Textual training data often comes from the web and is thus tagged with time …
Archivalqa: A large-scale benchmark dataset for open-domain question answering over historical news collections
In the last few years, open-domain question answering (ODQA) has advanced rapidly due to
the development of deep learning techniques and the availability of large-scale QA datasets …
the development of deep learning techniques and the availability of large-scale QA datasets …
[PDF][PDF] QuanTemp: A real-world open-domain benchmark for fact-checking numerical claims
With the growth of misinformation on the web, automated fact checking has garnered
immense interest for detecting growing misinformation and disinformation. Current systems …
immense interest for detecting growing misinformation and disinformation. Current systems …
Searching the enterprise
Search has become ubiquitous but that does not mean that search has been solved.
Enterprise search, which is broadly speaking the use of information retrieval technology to …
Enterprise search, which is broadly speaking the use of information retrieval technology to …
Temporal blind spots in large language models
Large language models (LLMs) have recently gained significant attention due to their
unparalleled zero-shot performance on various natural language processing tasks …
unparalleled zero-shot performance on various natural language processing tasks …
Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations
In retrieval settings such as the Web, many document authors are ranking incentivized: they
opt to have their documents highly ranked for queries of interest. Consequently, they often …
opt to have their documents highly ranked for queries of interest. Consequently, they often …
Event occurrence date estimation based on multivariate time series analysis over temporal document collections
Real world events are quite often mentioned in texts. Estimating the occurrence time of event
mentions has many applications in IR, QA, general document understanding and …
mentions has many applications in IR, QA, general document understanding and …
Domain-sensitive temporal tagging
Based on the theoretical foundations laid out in the previous chapters, we now explain the
challenges of temporal tagging. As most of the research on temporal tagging so far dealt …
challenges of temporal tagging. As most of the research on temporal tagging so far dealt …