Paul Van Eecke
Biographic Data
| ID | 4266695 |
|---|---|
| NAME | Paul Van Eecke |
| GIVEN NAMES | Paul |
| FAMILY NAME | Van Eecke |
| SIGNATURE | VAN EECKE P |
| AFFILIATIONS | Vrije Universiteit Brussel |
| ORCID | 0000-0001-9153-9092 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The computational learning of construction grammars
This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several distinct areas of research. The goal of this paper is threefold. First of all, it aims to synthesise the variety of methodologies that have been proposed to date and the results that have been obtained. …
Construction grammar and procedural semantics for human-interpretable grounded language processing
Grounded language processing is a crucial component in many artificial intelligence systems, as it allows agents to communicate about their physical surroundings. State-of-the-art approaches typically employ deep learning techniques that perform end-to-end mappings between natural language expressions and representations grounded in the environment. Although these techniques achieve high levels of accuracy, they are often criticized for their lac…
Humans Learn Language from Situated Communicative Interactions. What about Machines
Humans acquire their native languages by taking part in communicative interactions with their caregivers. These interactions are meaningful, intentional, and situated in their everyday environment. The situated and communicative nature of the interactions is essential to the language acquisition process, as language learners depend on clues provided by the communicative environment to make sense of the utterances they perceive. As such, the lingu…
A computational construction grammar approach to semantic frame extraction
This paper introduces a novel methodology for extracting semantic frames from text corpora. Building on recent advances in computational construction grammar, the method captures expert knowledge of how semantic frames can be expressed in the form of conventionalised form-meaning pairings, called constructions. By combining these constructions in a semantic parsing process, the frame-semantic structure of a sentence is retrieved through the inter…
A tool for tracking the propagation of words on Reddit
The data-driven study of cultural information diffusion in online (social) media is currently an active area of research. The availability of data from the web thereby generates new opportunities to examine how words propagate through online media and communities, as well as how these diffusion patterns are intertwined with the materiality and culture of social media platforms. In support of such efforts, this paper introduces an online tool for …
Tracking causal relations in the news
Online debates and debate spheres challenge our assumptions about democracy, politics, journalism, trust, and truth in ways that make them a necessary object of study. In the present article, we argue that the study of online arguments can benefit from an interdisciplinary approach that combines computational methods for text analysis with conceptual models of opinion dynamics. The article thereby seeks to make a conceptual and methodological con…
Building Social Media Observatories for Monitoring Online Opinion Dynamics
Social media house a trove of relevant information for the study of online opinion dynamics. However, harvesting and analyzing the sheer overload of data that is produced by these media poses immense challenges to journalists, researchers, activists, policy makers, and concerned citizens. To mitigate this situation, this article discusses the creation of (social) media observatories: platforms that enable users to capture the complexities of soci…
Computational construction grammar for visual question answering
In order to be able to answer a natural language question, a computational system needs three main capabilities. First, the system needs to be able to analyze the question into a structured query, revealing its component parts and how these are combined. Second, it needs to have access to relevant knowledge sources, such as databases, texts or images. Third, it needs to be able to execute the query on these knowledge sources. This paper focuses o…
Robust processing of the Dutch verb phrase
The Dutch verb phrase (VP) is notorious for its syntactic intricacies. There are three main reasons why it is difficult to robustly handle its complexity in a processing model. First of all, a single VP can contain multiple modal auxiliaries (‘modal stacking’). Second, perfect auxiliaries can not only take a past participle as their argument but also a modal auxiliary in the infinitive form. Finally, there are various word orders in which the ver…
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Robust processing of the Dutch verb phrase
The Dutch verb phrase (VP) is notorious for its syntactic intricacies. There are three main reasons why it is difficult to robustly handle its complexity in a processing model. First of all, a single VP can contain multiple modal auxiliaries (‘modal stacking’). Second, perfect auxiliaries can not only take a past participle as their argument but also a modal auxiliary in the infinitive form. Finally, there are various word orders in which the ver…
Computational construction grammar for visual question answering
In order to be able to answer a natural language question, a computational system needs three main capabilities. First, the system needs to be able to analyze the question into a structured query, revealing its component parts and how these are combined. Second, it needs to have access to relevant knowledge sources, such as databases, texts or images. Third, it needs to be able to execute the query on these knowledge sources. This paper focuses o…
Building Social Media Observatories for Monitoring Online Opinion Dynamics
Social media house a trove of relevant information for the study of online opinion dynamics. However, harvesting and analyzing the sheer overload of data that is produced by these media poses immense challenges to journalists, researchers, activists, policy makers, and concerned citizens. To mitigate this situation, this article discusses the creation of (social) media observatories: platforms that enable users to capture the complexities of soci…
A computational construction grammar approach to semantic frame extraction
This paper introduces a novel methodology for extracting semantic frames from text corpora. Building on recent advances in computational construction grammar, the method captures expert knowledge of how semantic frames can be expressed in the form of conventionalised form-meaning pairings, called constructions. By combining these constructions in a semantic parsing process, the frame-semantic structure of a sentence is retrieved through the inter…
A tool for tracking the propagation of words on Reddit
The data-driven study of cultural information diffusion in online (social) media is currently an active area of research. The availability of data from the web thereby generates new opportunities to examine how words propagate through online media and communities, as well as how these diffusion patterns are intertwined with the materiality and culture of social media platforms. In support of such efforts, this paper introduces an online tool for …
Tracking causal relations in the news
Online debates and debate spheres challenge our assumptions about democracy, politics, journalism, trust, and truth in ways that make them a necessary object of study. In the present article, we argue that the study of online arguments can benefit from an interdisciplinary approach that combines computational methods for text analysis with conceptual models of opinion dynamics. The article thereby seeks to make a conceptual and methodological con…
Construction grammar and procedural semantics for human-interpretable grounded language processing
Grounded language processing is a crucial component in many artificial intelligence systems, as it allows agents to communicate about their physical surroundings. State-of-the-art approaches typically employ deep learning techniques that perform end-to-end mappings between natural language expressions and representations grounded in the environment. Although these techniques achieve high levels of accuracy, they are often criticized for their lac…
Humans Learn Language from Situated Communicative Interactions. What about Machines
Humans acquire their native languages by taking part in communicative interactions with their caregivers. These interactions are meaningful, intentional, and situated in their everyday environment. The situated and communicative nature of the interactions is essential to the language acquisition process, as language learners depend on clues provided by the communicative environment to make sense of the utterances they perceive. As such, the lingu…
The computational learning of construction grammars
This paper documents and reviews the state of the art concerning computational models of construction grammar learning. It brings together prior work on the computational learning of form-meaning pairings, which has so far been studied in several distinct areas of research. The goal of this paper is threefold. First of all, it aims to synthesise the variety of methodologies that have been proposed to date and the results that have been obtained. …
Computer Science (9 works) · Artificial Intelligence (6 works) · Linguistics (6 works) · Natural language processing (6 works) · Grammar (4 works) · Natural Language Processing Techniques (4 works) · Programming language (4 works) · Data science (3 works) · Multimodal Machine Learning Applications (3 works) · Opinion Dynamics and Social Influence (3 works)