Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"syntactic parsing"”.
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A General Purpose Semantic Parser Using FrameNet and WordNet®.
Syntactic parsing is one of the best understood language processing applications. Since language and grammar have been formally defined, it is easy for computers to parse the syntactic structure of natural language text. Does meaning have structure as well? If it has, how can we analyze the …
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Joint multilingual learning for coreference resolution
… languages for two different linguistic tasks: syntactic parsing and joint learning of named entity recognition and coreference resolution. The syntactic parsing model outperforms current state-of-the-art models by discovering linguistic information shared across languages at the granular level …
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Exploiting multi-word units in statistical parsing and generation
Syntactic parsing is an important prerequisite for many natural language processing (NLP) applications. The task refers to the process of generating the tree of syntactic nodes with associated phrase category labels corresponding to a sentence. Our objective is to improve upon statistical models …
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Unsupervised multilingual learning
… segmentation, part-of-speech tagging, and syntactic parsing. Besides these traditional NLP tasks, we also present a multilingual model for lost language deciphersment. We test this model on the ancient Ugaritic language. Our results show that we can automatically uncover much of the …
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Improving a supervised CCG parser
The central topic of this thesis is the task of syntactic parsing with Combinatory Categorial Grammar (CCG). We focus on pipeline approaches that have allowed researchers to develop efficient and accurate parsers trained on articles taken from the Wall Street Journal (WSJ). We present three …
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Aggregation of student answers in a classroom setting
… form. The student answers are compared, via syntactic parsing and similarity measures, to each other and to instructor-provided example answers to form clusters, which represent student misconceptions. In tests, the aggregator module consistently created relevant clusters, very similar to …
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Large-scale connectionist natural language parsing using lexical semantic and syntactic knowledge
Syntactic parsing plays a pivotal role in most automatic natural language processing systems. The research project presented in this dissertation has focused on two main characteristics of connectionist models for natural language processing: their adaptability to different tagging conventions, and …
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A structured PC-PATR grammar editor and application to Bahasa Indonesia
… editor for grammar files for the PC-PATR syntactic parsing program and an analysis tool for its output called PC-PATR-EDITOR. It describes the difficulties with authoring plain text grammar files and reading the parser's output. The editor solves these problems by providing an editing …
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The Classes of Old English Inaction Verbs: Linking, Alternations and Constructions
… of the verbs in question, including the syntactic constructions and the argument realization alternations in which these verbs are found. The theoretical model draws on Role and Reference Grammar and the framework of verb classes and alternations. The data are gathered from various …
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Neural network architectures for Prepositional Phrase attachment disambiguation
… attachment disambiguation, a key challenge in syntactic parsing. In natural language sentences, a PP may often be attached to several possible candidates. While humans can usually identify the correct candidate successfully, syntactic parsers are known to have high error rated on this kind of …
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Using Dependency Parses to Augment Feature Construction for Text Mining
… different text mining applications. Dependency parsing is one form of syntactic parsing, based on the dependency grammar implicit in sentences. While dependency parsing has traditionally been used for text understanding, we investigate here its application to supply features for text mining …
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Transfer learning for low-resource natural language analysis
… prior knowledge can be utilized to guide syntactic parsing with little human intervention, by using a hierarchical low-rank tensor method. In both unsupervised and semi-supervised transfer scenarios, this method consistently outperforms state-of-the-art multilingual transfer parsers and …
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Parsing Routines in Syntactic Processing: The Effect of Expected Word Order on Sentence Comprehension
… This hypothesis embodies three claims: (a) the syntactic parsing device has an initial expectation for the SVO (syntactically defined) structure, (b) the parser reads or tracks the syntactic information in the utterance to confirm or adjust its predictions, and (c) the parser has the ability to …
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The Roles of Language Models and Hierarchical Models in Neural Sequence-to-Sequence Prediction
… machine translation, handwriting recognition, syntactic parsing, etc., but they are also applicable to seemingly unrelated fields such as robot control, time series prediction, and bioinformatics. Recent advances in contextual word embeddings like BERT boast with achieving state-of-the-art …
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Computational Approaches to the Syntax–Prosody Interface: Using Prosody to Improve Parsing
… since prosody can be used to resolve some syntactic ambiguities. Syntactic ambiguities have been shown to negatively impact automatic syntactic parsing, hence there is reason to believe that prosodic information can help improve parsing. This dissertation considers a number of approaches …
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Toward an integrated model of sentence processing in reading
… control on the one side and models on sentence parsing and memory processes on the other. However, no model so far combines both sides with explicitly defined linking assumptions. In this thesis, a model is developed that integrates oculomotor control with a parsing mechanism and a theory of …
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Unsupervised Structure Induction for Natural Language Processing
… such as word alignment for machine translation, syntactic parsing for coreference resolution, semantic parsing for question answering, etc. Traditional supervised learning methods rely on manually labeled structures for training. Unfortunately, manual annotations are often expensive and …
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Convergent probabilistic cues do not trigger syntactic adaptation in relative clause garden-path constructions
… continuation, despite finding a speedup in syntactic repair times after initial exposure to the dispreferred, infrequent structure (Harrington-Stack, James, & Watson, 2018). The current study reports three self-paced reading experiments that tested whether co-occurring cues (explicit …
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Cognitive processes, sub-skills and strategies in academic lecture listening at a Saudi Arabian university : a needs analysis study
… of lower-level (input decoding, lexical search, syntactic parsing and propositional meaning) and higher-level (inferencing, building a mental model, creating a text-level representation, creating an intertextual representation) cognitive processes as well as different processing sub-skills …
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Induction, Training, and Parsing Strategies beyond Context-free Grammars
… the problem of assigning a sentence its syntactic structure, which may be discontinuous. It proposes a class of models based on probabilistic grammars that are obtained by the automatic refinement of a given grammar. Different strategies for parsing with a refined grammar are developed. …