Essays about: "sentence parsing"
Showing result 1 - 5 of 8 essays containing the words sentence parsing.
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1. Nested Noun Phrase Detection in English Text with BERT
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this project, we address the task of nested noun phrase identification in English sentences, where a phrase is defined as a group of words functioning as one unit in a sentence. Prior research has extensively explored the identification of various phrases for language understanding and text generation tasks. READ MORE
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2. A Survey of Non-Projective Dependencies and a Novel Approach to Projectivization for Parsing
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Non-projective dependencies remain an at large issue in the field of dependency parsing. Regardless of what parsing algorithm is used, researchers run into the issue of computational speed and lower parsing performance on non-projective dependencies than on projective dependencies. READ MORE
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3. Multilingual Zero-Shot and Few-Shot Causality Detection
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Relations that hold between causes and their effects are fundamental for a wide range of different sectors. Automatically finding sentences that express such relations may for example be of great interest for the economy or political institutions. READ MORE
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4. Attention Mechanisms for Transition-based Dependency Parsing
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Transition-based dependency parsing is known to compute the syntactic structure of a sentence efficiently, but is less accurate to predict long-distance relations between tokens as it lacks global information about the sentence. Our main contribution is the integration of attention mechanisms to replace the static token selection with a dynamic approach that takes the complete sequence into account. READ MORE
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5. Using Unsupervised Morphological Segmentation to Improve Dependency Parsing for Morphologically Rich Languages
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : In this thesis, we mainly investigate the influence of using unsupervised morphological segmentation as features on the dependency parsing of morphologically rich languages such as Finnish, Estonian, Hungarian, Turkish, Uyghur, and Kazakh. Studying the morphology of these languages is of great importance for the dependency parsing of morphologically rich languages since dependency relations in a sentence of these languages mostly rely on morphemes rather than word order. READ MORE
