21 papers · ranked by Valyu relevance
Zhuang Li, Lizhen Qu, Gholamreza Haffari
Semantic parsing is the task of translating natural language utterances into machine-readable meaning representations. Currently, most semantic parsing methods are not able to utilize contextual information (e.g. dialogue and comments history), which has a great potential to boost semantic parsing performance. To…
Francesca M. Branzi, Matthew A. Lambon Ralph
Recent research has highlighted the importance of domain-general processes and brain regions for language and semantic cognition. Yet, this has been mainly observed in executively demanding tasks, leaving open the question of the contribution of domain-general processes to natural language and semantic cognition. Using…
Francesca M. Branzi, Gina F. Humphreys, Paul Hoffman, Matthew A. Lambon Ralph
Reading the news, watching a movie or any other behaviour involving the processing of meaningful stimuli requires the semantic system to have two main features: being active during an extended period of time and flexibly adapting the internal representation according to the changing environment (e.g., change of…
Pamela Faber, Pilar León-Araúz
Though instrumental in numerous disciplines, context has no universally accepted definition. In specialized knowledge resources it is timely and necessary to parameterize context with a view to more effectively facilitating knowledge representation, understanding, and acquisition, the main aims of terminological…
Francesca M. Branzi, Matthew A. Lambon Ralph
Recent research has highlighted the importance of domain-general processes and brain regions for language and semantic cognition. Yet, this has been mainly observed in executively demanding tasks, leaving open the question of the contribution of domain-general processes to natural language and semantic cognition. Using…
Katrin Erk, Aurélie Herbelot
In this paper, we derive a notion of word meaning in context which accounts for the wide range of lexical shifts and ambiguities observed in utterance interpretation. We characterize the lexical comprehension process as a combination of cognitive semantics and Discourse Representation Theory, formalized as a situation…
Tiago Timponi Torrent, Ely Edison da Silva Matos, Frederico Belcavello, Marcelo Viridiano + 3 more
Frame Semantics includes context as a central aspect of the theory. Frames themselves can be regarded as a representation of the immediate context against which meaning is to be construed. Moreover, the notion of frame invocation includes context as one possible source of information comprehenders use to construe…
Zhiyao Gao, Li Zheng, André Gouws, Katya Krieger-Redwood + 4 more
How concepts are coded in the brain is a core issue in cognitive neuroscience. Studies have focused on how individual concepts are processed, but how conceptual representation changes to suit the context is unclear. We parametrically manipulated the association strength between words, presented in pairs one word at a…
Parag Jain, Mirella Lapata
We present a memory-based model for context-dependent semantic parsing. Previous approaches focus on enabling the decoder to copy or modify the parse from the previous utterance, assuming there is a dependency between the current and previous parses. In this work, we propose to represent contextual information using an…
Gabriella Airenti, Alessio Plebe
Context is a controversial concept. Research in philosophy of language, linguistics and cognitive science has shown that the communicative content of an utterance is not limited to the conventional content of what is said. The notion of context has been introduced in semantics and has assumed a central role in language…
Simeon Schüz, Albert Gatt, Sina Zarrieß
Situational context is crucial for linguistic reference to visible objects, since the same description can refer unambiguously to an object in one context but be ambiguous or misleading in others. This also applies to Referring Expression Generation (REG), where the production of identifying descriptions is always…
Marek A. Pedziwiatr, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge + 1 more
Semantic information is important in eye-movement control. An important semantic influence on gaze guidance relates to object-scene relationships: objects that are semantically inconsistent with the scene attract more fixations than consistent objects. One interpretation of this effect is that fixations are driven…
Salvatore Attardo
It has been widely assumed that the full meaning of a linguistic expression can be grasped only within a situation, the context of the utterance. There is even agreement that certain factors within the situation are particularly significant, including gestures and facial expressions of the participants, their social…
Authors not listed
The nanosafety domain has seen significant advancements in data generation and sharing, yet challenges remain in ensuring data interoperability and reuse. This article focuses on developing a semantic interoperability framework for nanosafety data to maximize the FAIRness (Findability, Accessibility, Interoperability…
Rui Meng, Ye Liu, Lifu Tu, Daqing He + 2 more
Language Models Authors: ['Rui Meng' 'Ye Liu' 'Lifu Tu' 'Daqing He' 'Yingbo Zhou' 'Semih Yavuz'] Phrases are fundamental linguistic units through which humans convey semantics. This study critically examines the capacity of API-based large language models (LLMs) to comprehend phrase semantics, utilizing three…
Fausto Giunchiglia, Marcelo Rodas Britez, Andrea Bontempelli, Xiaoyue Li
'Xiaoyue Li'] The representation of the personal context is complex and essential to improve the help machines can give to humans for making sense of the world, and the help humans can give to machines to improve their efficiency. We aim to design a novel model representation of the personal context and design a…
Yusuke Takimoto, Shoya Matsumori, Yosuke Fukuchi, Michita Imai
Distributed representation of words has improved the performance for many natural language tasks such as machine translation and document classification. In many methods, however, only one meaning is considered for one label of a word, and multiple meanings of polysemous words depending on the context are rarely…
Rachana Niranjan Murthy, Sai Teja Potu, Akhil Thomas, Lokesh Mishra + 2 more
Retrieving structured materials information from unstructured textual data is essential for data mining and automatically developing comprehensive ontologies. Information extraction is a complex task composed of multiple subtasks and thus often relies on systems of task-specialized language models. A foundation…
Authors not listed
The scarcity and expense of fatigue data limits optimal design of components and constrains companies to a few well qualified materials when safety-critical applications are concerned. This research investigates different strategies to improve extraction of structured information from unstructured scientific…
Authors not listed
Bayesian optimization (BO) has become increasingly important for experimental optimization across scientific domains, yet implementing BO pipelines requires significant programming expertise and familiarity with specialized frameworks. This creates a barrier for domain experts who could benefit from BO but lack the…
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The interdisciplinary nature of redox flow batteries (RFBs), spanning chemistry, materials, and engineering, has led to a vast and fragmented body of research, hindering the efficient synthesis of knowledge. An intelligent question-answering system is there-fore essential to organize this dispersed knowledge, enhance…