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 18 of 18 for “"reranking"”.
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Parse reranking with WordNet using a hidden variable model
We present a new parse reranking algorithm that extends work in (Michael Collins and Terry Koo 2004) by incorporating WordNet (Miller et al. 1993) word senses. Instead of attempting explicit word sense disambiguation, we retain word sense ambiguity in a hidden variable model. We define a …
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Effects of Management Regimen, Residual Feed Intake and Reranking on Performance, Carcass and Meat Quality in Beef Steers
… finished on a high grain diet. Extensive RFI reranking occurred between production phases. Reranking was positively correlated with longissimus muscle area but did not influence other carcass and meat quality parameters. Growing phase RFI classification had a minimal effect on carcass traits, …
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The integration of machine translation and translation memory
… via translation recommendation and translation reranking. Given an input to be translated, our translation recommendation model compares the output from the MT and the TMsystems, and presents the better one to the post-editor. Our translation reranking model combines k-best lists from both …
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Information Retrieval with Dense and Sparse Representations
… limitations by developing a query expansion and reranking procedure. Using pre-trained language models, we propose an expansion and reranking pipeline for better query expansion, achieving superior retrieval results both in-domain and out-of-domain, yet retaining sparse retrieval's computational …
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Tonal interaction in Kinande : cyclicity, opacity, and morphosyntactic structure
… both cyclic evaluation and constraint reranking. Evidence for cyclic evaluation comes from a close correspondence between process ordering and phonological domain structure: in order for one process to follow another, and thereby render it opaque, it must apply within a larger domain. …
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Similarity-Augmented Prediction Methods for Neural Machine Translation
… processes to improve the task of prediction reranking, using similarity between elements to make strategic search choices which significantly speeds up reranking. LMs are not simply distributions over token sequences, but distributions over possible meanings. We introduce new methods for …
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Framing in Argument Analysis & Generation. Detecting and generating perspectives
… and applying framed deciding and output reranking at inference, guiding the generated text into a particular (set of) frames. For reforming, we overcome the lack of training data released to that specific subtask in the field of computational argumentation by methods from the field of …
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Input Adaptive Allocation of Language Model Computation
… intensive decoding procedures—including search, reranking, and self-critique— can improve the quality of language model (LM) outputs in problems spanning code generation, numerical reasoning, and dialog. Existing work typically applies the same decoding procedure for every input to an LM. But not …
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Ranking techniques for keyphrase extraction
… be improved with negligible runtime cost. We use reranking to improve accuracy and explore several extensions thereof. We propose a number of new features, including augmented domain keyphraseness and average word length. Augmented domain keyphraseness incorporates information from a hierarchical …
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End-to-End Relation Extraction via Syntactic Structures and Semantic Resources
… We approach this task by proposing a novel reranking framework that employs two learning phases to pick the best candidate. The task is considered as sequence labelling with Conditional Random Fields (CRFs) is selected as the baseline algorithm. Our research employs novel kernels based on …
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Inequality, Redistribution and Mobility of Agricultural Incomes in Scotland
… of individuals within the income order (reranking mobility). The characterisation of the expected income growth process will indirectly examine the validity of Gibrat’s law in Scottish agriculture. Furthermore, the determinants of vertical mobility will be investigated in order to analyse …
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The power of quasi-shortest paths and the impact of node mobility on dynamic networks
… ρ. The use of non-optimal paths causes the reranking of several nodes and its main effect is a reduced occupation of the most central positions by articulation points. Lastly, the network performenace in presence of failures is investigated through simulations, in which failures happen on …
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Improving Cascaded Systems in Spoken Language Processing
… this thesis is to propose a general framework of reranking for multimodular systems, addressing both the error propagation and information loss issues. Rerankers are commonly used for single module sequence generation tasks, such as speech recognition and machine translation. In this work, …
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Genetic Parameters and Genetic Trends of Female Fertility in Icelandic Dairy Cattle
… between EBVs suggested there will be some reranking of sires in a new evaluation.
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Income redistributive effect of health care financing in Zambia
… mechanisms into the vertical, horizontal and reranking components.
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Robust machine translation for multi-domain tasks
… motivated feature functions within a reranking concept. Then, we investigate different data-driven approaches to the task of transliterating proper names. Often, such names are out-of-vocabulary terms and the intention is to preserve the names by transliteration. Finally, we show how …
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Automated Approaches to Community Question Answering
… i.e. question duplicate detection and question reranking, showing the advantages of injecting syntactic information in neural models. After that, we focus on more challenging tasks such as building a neural network architecture for ranking comments on a forum according to their relevance with …
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Phrase based statistical machine translation : models, search, training
… These can be also used in a rescoring/reranking framework. The resulting machine translation system achieves state-of-the-art performance on the large scale Chinese-English NIST task. Furthermore, the system was ranked first in the official TC-Star evaluations in 2005, 2006 and 2007 for …