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AUTOMATIC DISAMBIGUATION OF CHINESE MODAL EXPRESSIONS - A SUPERVISED MACHINE LEARNING EXPERIMENT
(Georgetown University, 2013)
This thesis reports an annotation on Chinese modal expressions in Chinese Treebank (CHTB) 4.0, with eleven attributes that may affect the reading of modal expressions. The annotated data provide distributional information ...
MODELING SPANISH MOOD CHOICE IN BELIEF STATEMENTS
(Georgetown University, 2013)
This work develops a computational methodology new to linguistics that empirically evaluates competing linguistic theories on Spanish verbal mood choice through the use of computational techniques to learn mood and other ...
Extracting and modeling typical durations of events and habits from Twitter
(Georgetown University, 2012)
This thesis presents recent work on a new method to automatically extract fine-grained duration information for common verbs using a large corpus of Twitter tweets. I present the results of distinguishing between habitual ...
A Hybrid Approach to Inferring a Consistent Temporal Relation Set in Natural Language Text
(Georgetown University, 2013)
This dissertation investigates the temporal relation identification
Mining Linguistic Tone Patterns Using Fundamental Frequency Time-Series Data
(Georgetown University, 2017)
With the rapid advancement in computing powers, recent years have seen the availability of large scale corpora of speech audio data, and within it, fundamental frequency (f0) time-series data of speech prosody. However, ...
Investigations of the Properties of Narrative Schemas
(Georgetown University, 2018)
Narrative schemas are generalizations of frequently re-occurring sequences of events linked through co-referring entities in text (Chambers & Jurafsky, 2009). The use of such schemas in the unsupervised analysis of text ...
Experiments on Approaches to Named Entity Recognition in IsiZulu
(Georgetown University, 2021)
Named Entity Recognition (NER) has always been one significant part of Natural Language Processing technologies. This thesis investigates a range of approaches to address the NER task in isiZulu, a morphologically complex ...
Linguistic Interpretability and Composition of Abstract Meaning Representations
(Georgetown University, 2021)
Many Natural Language Processing (NLP) and Natural Language Understanding (NLU) tasks require some implicit representation of meaning. Abstract Meaning Representation (AMR; Banarescu et al., 2013) aims to be a scalable way ...