This proposed approach extracts semantic knowledge from different corpora and resources. Our main purpose is to study how the acquired information can be ...
Abstract. The variability of semantic expression is a special characteristic of na- tural language. This variability is challenging for many natural ...
This paper studies the eect of semantic knowledge expan- sion applied to the Textual Entailment Recognition task. In comparison to the already existing ...
Dec 31, 2005 · This proposed approach extracts semantic knowledge from different corpora and resources. Our main purpose is to study how the acquired ...
Abstract. The variability of semantic expression is a special characteristic of natural language. This variability is challenging for many natural language ...
Aug 10, 2022 · This dissertation explores the linguistic and computational aspects of the meaning relations that can hold between two or more complex linguistic expressions.
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Jun 2, 2024 · In this blog post, we will explore the process of fine-tuning GPT (Generative Pre-trained Transformer) for semantic similarity and textual entailment tasks.
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Aug 10, 2022 · This dissertation explores the linguistic and computational aspects of the meaning relations that can hold between two or more complex ...
This paper presents a novel method to recognize textual entailment by introducing new features based on element-wise Manhattan distance vector employing ...
Missing: Beyond | Show results with:Beyond
The PASCAL RTE Challenge introduces textual entailment as a common task and evaluation framework, covering a broad range of semantic-oriented inferences.