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Found 46 papers, 16 papers with code
Advanced Semantics for Commonsense Knowledge Extraction
Prior works like ConceptNet, TupleKB and others compiled large CSK collections, but are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and monolithic strings for P and O.
Commonsense Properties from Query Logs and Question Answering Forums
Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications.
Extracting Cultural Commonsense Knowledge at Scale
Commonsense knowledge, which is crucial for robust human-centric AI, is covered by a small number of structured knowledge projects.
Refined Commonsense Knowledge from Large-Scale Web Contents
However, they are restricted in their expressiveness to subject-predicate-object (SPO) triples with simple concepts for S and strings for P and O.
Joint Reasoning for Multi-Faceted Commonsense Knowledge
Each concept is treated in isolation from other concepts, and the only quantitative measure (or ranking) of properties is a confidence score that the statement is valid.
Evaluating Language Models for Knowledge Base Completion
In a second step, we perform a human evaluation on predictions that are not yet in the KB, as only this provides real insights into the added value over existing KBs.
Enriching Knowledge Bases with Counting Quantifiers
In a large-scale experiment, we demonstrate the potential for knowledge base enrichment by applying CINEX to 2, 474 frequent relations in Wikidata.
BoschAI @ Causal News Corpus 2023: Robust Cause-Effect Span Extraction using Multi-Layer Sequence Tagging and Data Augmentation
Understanding causality is a core aspect of intelligence.
Answering Count Queries with Explanatory Evidence
A challenging case in web search and question answering are count queries, such as \textit{"number of songs by John Lennon"}.
Answering Count Questions with Structured Answers from Text
In this work we address the challenging case of answering count queries in web search, such as ``number of songs by John Lennon''.
Knowledge Base Completion for Long-Tail Entities
To evaluate our method and various baselines, we introduce a novel dataset, called MALT, rooted in Wikidata.
Mapping and Cleaning Open Commonsense Knowledge Bases with Generative Translation
Structured knowledge bases (KBs) are the backbone of many know\-ledge-intensive applications, and their automated construction has received considerable attention.
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]
In this work, we have developed a human-annotated dataset of 350 preference judgments among pairs of knowledge base properties for fixed entities.
Cardinal Virtues: Extracting Relation Cardinalities from Text
Information extraction (IE) from text has largely focused on relations between individual entities, such as who has won which award.
TiFi: Taxonomy Induction for Fictional Domains [Extended version]
Taxonomies are important building blocks of structured knowledge bases, and their construction from text sources and Wikipedia has received much attention.
Story-oriented Image Selection and Placement
Multimodal contents have become commonplace on the Internet today, manifested as news articles, social media posts, and personal or business blog posts.
Coverage of Information Extraction from Sentences and Paragraphs
Scalar implicatures are language features that imply the negation of stronger statements, e. g., {``}She was married twice{''} typically implicates that she was not married thrice.
Negative Statements Considered Useful
Negative statements are useful to overcome limitations of question answering systems that are mainly geared for positive questions; they can also contribute to informative summaries of entities.
Uncovering Hidden Semantics of Set Information in Knowledge Bases
This paper focuses on set-valued predicates, i. e., the relationship between an entity and a set of entities.
CounQER: A System for Discovering and Linking Count Information in Knowledge Bases
Predicate constraints of general-purpose knowledge bases (KBs) like Wikidata, DBpedia and Freebase are often limited to subproperty, domain and range constraints.
Counting Query Answers over a DL-Lite Knowledge Base (extended version)
Counting answers to a query is an operation supported by virtually all database management systems.
Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases
Equipping machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing goal of AI.
Commonsense Knowledge Base Construction in the Age of Big Data
Compiling commonsense knowledge is traditionally an AI topic approached by manual labor.
Information to Wisdom: Commonsense Knowledge Extraction and Compilation
Commonsense knowledge is a foundational cornerstone of artificial intelligence applications.
Inside ASCENT: Exploring a Deep Commonsense Knowledge Base and its Usage in Question Answering
ASCENT is a fully automated methodology for extracting and consolidating commonsense assertions from web contents (Nguyen et al., WWW 2021).
SANDI: Story-and-Images Alignment
The Internet contains a multitude of social media posts and other of stories where text is interspersed with images.
ENTYFI: A System for Fine-grained Entity Typing in Fictional Texts
Fiction and fantasy are archetypes of long-tail domains that lack suitable NLP methodologies and tools.
Language Models As or For Knowledge Bases
Pre-trained language models (LMs) have recently gained attention for their potential as an alternative to (or proxy for) explicit knowledge bases (KBs).
Exploiting Image–Text Synergy for Contextual Image Captioning
Modern web content - news articles, blog posts, educational resources, marketing brochures - is predominantly multimodal.
Enriching Knowledge Bases with Interesting Negative Statements
Negative statements would be important to overcome current limitations of question answering, yet due to their potential abundance, any effort towards compiling them needs a tight coupling with ranking.
KnowFi: Knowledge Extraction from Long Fictional Texts
Knowledge base construction has recently been extended to fictional domains like multi-volume novels and TV/movie series, aiming to support explorative queries for fans and sub-culture studies by humanities researchers.
Cultural Vocal Bursts Intensity Prediction
Relation Extraction
Predicting Document Coverage for Relation Extraction
We employ methods combining features with statistical models like TF-IDF and language models like BERT.
Materialized Knowledge Bases from Commonsense Transformers
Starting from the COMET methodology by Bosselut et al. (2019), generating commonsense knowledge directly from pre-trained language models has recently received significant attention.
UnCommonSense: Informative Negative Knowledge about Everyday Concepts
This way, positive statements about comparable concepts that are absent for the target concept become seeds for negative statement candidates.
Correlating Facts and Social Media Trends on Environmental Quantities Leveraging Commonsense Reasoning and Human Sentiments
We present commonsense interpretations of results, such that they are not impervious to the masses.
Do Children Texts Hold The Key To Commonsense Knowledge?
Compiling comprehensive repositories of commonsense knowledge is a long-standing problem in AI.
How Stable is Knowledge Base Knowledge?
The inevitability of change in the real-world, brings us to a central property of KBs -- they are highly dynamic in that the information they contain are constantly subject to change.
Class Cardinality Comparison as a Fermi Problem
Questions on class cardinality comparisons are quite tricky to answer and come with its own challenges.
Completeness, Recall, and Negation in Open-World Knowledge Bases: A Survey
General-purpose knowledge bases (KBs) are a cornerstone of knowledge-centric AI.
Can large language models generate salient negative statements?
We examine the ability of large language models (LLMs) to generate salient (interesting) negative statements about real-world entities; an emerging research topic of the last few years.
Extracting Multi-valued Relations from Language Models
The widespread usage of latent language representations via pre-trained language models (LMs) suggests that they are a promising source of structured knowledge.
Large Language Models and Knowledge Graphs: Opportunities and Challenges
Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm.
Evaluating the Knowledge Base Completion Potential of GPT
Structured knowledge bases (KBs) are an asset for search engines and other applications, but are inevitably incomplete.
BoschAI @ PLABA 2023: Leveraging Edit Operations in End-to-End Neural Sentence Simplification
We furthermore show that the hyperparameter $\lambda$ in token-level loss weights can be used to control the edit distance and the simplicity level (FKGL).
Multi-Cultural Commonsense Knowledge Distillation
Despite recent progress, large language models (LLMs) still face the challenge of appropriately reacting to the intricacies of social and cultural conventions.
