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Oct 7, 2024 � Our experiments on story writing, math, and multi-step reasoning datasets demonstrate that fPLSA tags help reconstruct the original texts better�...
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Abstract. Measuring semantic textual similarity. (STS) is at the cornerstone of many NLP applications. Different from the major-.
In this paper, we discuss the structure based classification of documents based on their logical document structure, i.e., their DOM trees. We describe a method�...
Nov 1, 2013 � An approach for learning concept hierarchies from textual resources is proposed. � Subject–verb–object relations are used for identifying nouns.
Aug 12, 2013 � In this paper, we present a novel semantic-based approach to identify which exact definition or related definition exists within a returned�...
Feb 11, 2022 � Applying machine learning algorithms to automatically infer relationships between concepts from large-scale collections of documents�...
Oct 4, 2024 � Abstract:In this paper, we study whether transformer-based language models can extract predicate argument structure from simple sentences.
We focus on the core task of predicting the semantic textual similarity of sentence pairs. The current system utilizes machine learning techniques trained on�...
Oct 12, 2022 � Incorporating semantic information into dia- logue systems has been shown to be helpful for many downstream tasks, such as dialogue intent�...
Jul 14, 2024 � We present a novel framework that combines semantic graph representations along with deep learning predictions to generate abstractive summaries of single�...