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 34 for “"named entities"”.
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Sepia : semantic parsing for named entities
… various numeric expressions, collectively called Named Entities, are used to convey specific meanings to humans in the same way that identifiers and constants convey meaning to a computer language interpreter. Natural Language Question Answering can benefit from understanding the meaning of these …
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Authorship Attribution Through Words Surrounding Named Entities
… Attribution Program (JGAAP), implements a named entity recognizer, specifically the Stanford Named Entity Recognizer, to probe into similar genre text and to aid in extricating the correct author. This research specifically examines the words authors use around named entities in order to …
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Evaluating automated and hybrid neural disambiguation for African historical named entities
… This problem may be alleviated by using a Named Entity Disambiguation (NED) system to disambiguate names by linking them to a knowledge base. In recent years, transformer-based language models have led to improvements in NED systems. Furthermore, multilingual language models have shown the …
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A Study on the Impact of Transfer Learning for Deception Detection
… methods that add information to text via named entities was evaluated using a BERT model as well as a transfer learning method. We found that baseline BERT accuracy increased by up to 7.3%, with the most useful method replacing a named entity with its part-of-speech tag. Finally, we found …
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Entity Information Extraction using Structured and Semi-structured resources
… involves linking/matching a textual mention of a named-entity (like a person or a movie-name) to an appropriate entry in a database (e.g. Wikipedia or IMDB). If the database does not contain the entity it should return NIL (out-of-database) value. Existing techniques for linking named entities in …
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Extending Wikification: Nominal discovery, nominal linking, and the grounding of nouns
… in natural language understanding. Compared with named entities, the detection and linking of nominals are relatively little studied but essential since the grounding of nouns enriches information for humans that read documents. In this thesis, we address those problems by extending the Illinois …
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Simple books for devout readers: Recovering a fifteenth-century middle English genre
… and “friendly.” By illustrating how a shift from named entities (title, author) to physical affordances makes anonymous texts and their readers legible, this materials-first approach to Middle English devotional manuscripts suggests alternate ways to address the problematically unwieldy genre of …
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Word alignment and smoothing methods in statistical machine translation: Noise, prior knowledge and overfitting
… lexical semantics (or non-literal translations), named-entities, coreferences, and transliterations. The first discussion is about word alignment where we propose a MWE-sensitive word aligner. The second discussion is about the smoothing methods for a language model and a translation model where we …
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Extracting fields from free-text
… Extraction Library (FEL) provides functions for named-entity extraction within free text. FEL models the content structure of the specified named-entities rather than relying on brittle, context-specific separator logic. Users specify the names of the fields they wish to extract, which determine …
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SKEWER: Sentiment Knowledge Extraction with Entity Recognition
… of natural language processing tools to extract named entities, phrases, and sentiments from the transcript texts and aggregates the results of those tools into a graph database. The resulting graph can be queried to discover knowledge regarding the positions of legislators, lobbyists, and the …
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Entity recognition for multi-modal socio-technical systems
… is that they mainly support the detection of named entities, typically in the form of proper nouns. The presented solution also detects entities not referred to by a name, such as general references to places (e.g. forest) or natural resources (e.g. timber). We use supervised machine learning …
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Development and applications of neural networks for economic forecasting
… architecture for improving the recognition of named entities (companies, people etc.) in text, a necessary first step in such forecasting.
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Unsupervised Relation Extraction for E-Learning Applications
… NLP field used to recognise the most important entities present in a text, and the relations between those concepts, regardless of their surface realisations. In IE, text is processed at a semantic level that allows the partial representation of the meaning of a sentence to be produced. IE has …
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Exploiting multi-word units in statistical parsing and generation
… by leveraging multi-word units (MWUs) such as named entities and other classes of multi-word expressions. Multi-word units are phrases that are lexically, syntactically and/or semantically idiosyncratic in that they are to at least some degree non-compositional. If such units are identified …
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Specialized Named Entity Recognition for Breast Cancer Subtyping
… information from text on various topics. Named Entity Recognition (NER), is one way to automate knowledge extraction of raw text. NER is defined as the task of identifying named entities from text using labels such as people, dates, locations, diseases, and proteins. There are several NLP …
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Visual-motor development and the emergence of emotional indicators : a reexamination of the Bender gestalt test with young children
… if any variance is shared by the two above named entities. While the appearance of confused order and increasing size can be attributed to developmental factors, the emergence of small size cannot. Several emotional indicators appear almost unrelated to visual-motor development, specifically …
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Minimally-supervised Methods for Arabic Named Entity Recognition
Named Entity Recognition (NER) has attracted much attention over the past twenty years, as a main task of Information Extraction. The current dominant techniques for addressing NER are supervised methods that can achieve high performance, but require new manually annotated data for every new domain …
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Entity finding in a document collection using adaptive window sizes
… when the information need of the user involves entities. This issue has led to the development of entity-search, which unlike normal web search does not aim at returning documents but names of people, products, organisations, etc. Some of the most successful methods for identifying relevant …
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Concept and entity grounding using indirect supervision
Extracting and disambiguating entities and concepts is a crucial step toward understanding natural language text. In this thesis, we consider the problem of grounding concepts and entities mentioned in text to one or more knowledge bases (KBs). A well-studied scenario of this problem is the one in …
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Direct Speech Translation Toward High-Quality, Inclusive, and Augmented Systems
… focusing on the translation and recognition of named entities (NEs). Along this line of work, we proposed solutions to cope with the major weakness of ST models (handling person names), and introduced direct models that jointly perform ST and NE recognition showing their superiority over a …
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